首页 > 最新文献

Brachytherapy最新文献

英文 中文
PO17 PO17
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.118
Juan Wang, Jinxin Zhao, Yansong Liang, Huiming Yu
Purpose To investigate the relationship between dose parameters and tumor volume reduction ratio after 125I seed implantation for recurrent cervical squamous cell carcinoma, and to obtain the better parameters to predict the curative effect. Methods 26 cervical squamous cell carcinoma patients with 30 lesions were studied retrospectively in our clinic. All patients underwent dose verification immediately after operation, and obtained postoperative D90(the minimum peripheral dose accepted by 90% target volume). The patients were followed up regularly. According to the CT images during the actual follow-up, the tumor volume reduction ratio at the end of t months (Rt),the tumor volume reduction ratio 1 month after operation (R1), the first month actual absorbed dose (D1m), the first month efficacy corrected absorbed dose (D1e), the first month sensitivity corrected absorbed dose (D1s) and the t months actual absorbed dose (Dt) were calculated. Curve fitting was performed for postoperative D90 and R1, and curve fitting was performed for postoperative D90, D1m, D1e, D1s and Rt to find the correlation between each parameter and tumor volume reduction ratio. Results The mean values of D90,D1m,D1e,D1s,Rt,R1were (105.4±22.8) Gy,(30.9±7.4)Gy,(37.1±8.9)Gy,(37.8±11.6)Gy,(39.4±17)%,(20.4±12)%. Postoperative D90 and R1, postoperative D90, D1m, D1e, D1s andRt all have positive relationship. The equations are as follows y=6.856×10-7x3-2.66×10-4x2+0.031x-0.879(R2=0.139),y=1.573×10-6x3-4.47×10-4x2+0.045x-0.967(R2=0.027),y=7.11×10-5x3-0.07x2+0.193x-1.402(R2=0.043),y=3.546×10-5x3-0.003x2+0.108x-0.744(R2=0.126),y=1.022×10-5x3-0.001x2+0.048x-0.275(R2=0.243). Conclusion PostoperativeD90, D1m, D1e and D1s were positively correlated with postoperative tumor volume reduction ratio, which can be used to predict the efficacy of primary recurrent cervical squamous cell carcinoma patients with particle implantation. Compared with D90 and D1m, and D1e , D1s can be better predictors . To investigate the relationship between dose parameters and tumor volume reduction ratio after 125I seed implantation for recurrent cervical squamous cell carcinoma, and to obtain the better parameters to predict the curative effect. 26 cervical squamous cell carcinoma patients with 30 lesions were studied retrospectively in our clinic. All patients underwent dose verification immediately after operation, and obtained postoperative D90(the minimum peripheral dose accepted by 90% target volume). The patients were followed up regularly. According to the CT images during the actual follow-up, the tumor volume reduction ratio at the end of t months (Rt),the tumor volume reduction ratio 1 month after operation (R1), the first month actual absorbed dose (D1m), the first month efficacy corrected absorbed dose (D1e), the first month sensitivity corrected absorbed dose (D1s) and the t months actual absorbed dose (Dt) were calculated. Curve fitting was performed for postoperative D90 and R1, and curve fitti
目的探讨125I粒子植入术治疗复发性宫颈鳞状细胞癌后剂量参数与肿瘤体积缩小率的关系,以获得更好的预测疗效的参数。方法对26例宫颈鳞状细胞癌30处病变的临床资料进行回顾性分析。所有患者术后立即进行剂量验证,获得术后D90(90%靶体积可接受的最小外周剂量)。对患者进行定期随访。根据实际随访时的CT图像,计算t月末肿瘤体积缩小比(Rt)、术后1月肿瘤体积缩小比(R1)、第1个月实际吸收剂量(D1m)、第1个月疗效校正吸收剂量(D1e)、第1个月敏感性校正吸收剂量(D1s)和第t个月实际吸收剂量(Dt)。对术后D90、R1进行曲线拟合,对术后D90、D1m、D1e、D1s、Rt进行曲线拟合,找出各参数与肿瘤体积缩小比的相关性。结果的平均值D90,直到D1m D1e, d1, Rt, R1were(105.4±22.8)Gy, Gy(30.9±7.4),(37.1±8.9)Gy, Gy(37.8±11.6),(39.4±17)%,%(20.4±12)。术后D90与R1呈正相关,术后D90、D1m、D1e、D1s与rt呈正相关。方程为:y=6.856×10-7x3-2.66×10-4x2+0.031x-0.879(R2=0.139),y=1.573×10-6x3-4.47×10-4x2+0.045x-0.967(R2=0.027),y=7.11×10-5x3-0.07x2+0.193x-1.402(R2=0.043),y=3.546×10-5x3-0.003x2+0.108x-0.744(R2=0.126),y=1.022×10-5x3-0.001x2+0.048x-0.275(R2=0.243)。结论术后ved90、D1m、D1e、D1s与术后肿瘤体积缩小比呈正相关,可用于预测原发性复发宫颈鳞状细胞癌颗粒植入患者的疗效。与D90、D1m和D1e相比,D1s具有更好的预测效果。探讨125I粒子植入治疗复发性宫颈鳞状细胞癌后剂量参数与肿瘤体积缩小率的关系,以获得较好的预测疗效的参数。对26例宫颈鳞状细胞癌患者30处病变进行回顾性分析。所有患者术后立即进行剂量验证,获得术后D90(90%靶体积可接受的最小外周剂量)。对患者进行定期随访。根据实际随访时的CT图像,计算t月末肿瘤体积缩小比(Rt)、术后1月肿瘤体积缩小比(R1)、第1个月实际吸收剂量(D1m)、第1个月疗效校正吸收剂量(D1e)、第1个月敏感性校正吸收剂量(D1s)和第t个月实际吸收剂量(Dt)。对术后D90、R1进行曲线拟合,对术后D90、D1m、D1e、D1s、Rt进行曲线拟合,找出各参数与肿瘤体积缩小比的相关性。D90的平均值,直到D1m D1e, d1, Rt, R1were(105.4±22.8)Gy, Gy(30.9±7.4),(37.1±8.9)Gy, Gy(37.8±11.6),(39.4±17)%,%(20.4±12)。术后D90与R1呈正相关,术后D90、D1m、D1e、D1s与rt呈正相关。方程为:y=6.856×10-7x3-2.66×10-4x2+0.031x-0.879(R2=0.139),y=1.573×10-6x3-4.47×10-4x2+0.045x-0.967(R2=0.027),y=7.11×10-5x3-0.07x2+0.193x-1.402(R2=0.043),y=3.546×10-5x3-0.003x2+0.108x-0.744(R2=0.126),y=1.022×10-5x3-0.001x2+0.048x-0.275(R2=0.243)。术后ved90、D1m、D1e、D1s与术后肿瘤体积缩小比呈正相关,可用于预测原发性复发宫颈鳞状细胞癌颗粒植入患者的疗效。与D90、D1m和D1e相比,D1s具有更好的预测效果。
{"title":"PO17","authors":"Juan Wang, Jinxin Zhao, Yansong Liang, Huiming Yu","doi":"10.1016/j.brachy.2023.06.118","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.118","url":null,"abstract":"Purpose To investigate the relationship between dose parameters and tumor volume reduction ratio after 125I seed implantation for recurrent cervical squamous cell carcinoma, and to obtain the better parameters to predict the curative effect. Methods 26 cervical squamous cell carcinoma patients with 30 lesions were studied retrospectively in our clinic. All patients underwent dose verification immediately after operation, and obtained postoperative D90(the minimum peripheral dose accepted by 90% target volume). The patients were followed up regularly. According to the CT images during the actual follow-up, the tumor volume reduction ratio at the end of t months (Rt),the tumor volume reduction ratio 1 month after operation (R1), the first month actual absorbed dose (D1m), the first month efficacy corrected absorbed dose (D1e), the first month sensitivity corrected absorbed dose (D1s) and the t months actual absorbed dose (Dt) were calculated. Curve fitting was performed for postoperative D90 and R1, and curve fitting was performed for postoperative D90, D1m, D1e, D1s and Rt to find the correlation between each parameter and tumor volume reduction ratio. Results The mean values of D90,D1m,D1e,D1s,Rt,R1were (105.4±22.8) Gy,(30.9±7.4)Gy,(37.1±8.9)Gy,(37.8±11.6)Gy,(39.4±17)%,(20.4±12)%. Postoperative D90 and R1, postoperative D90, D1m, D1e, D1s andRt all have positive relationship. The equations are as follows y=6.856×10-7x3-2.66×10-4x2+0.031x-0.879(R2=0.139),y=1.573×10-6x3-4.47×10-4x2+0.045x-0.967(R2=0.027),y=7.11×10-5x3-0.07x2+0.193x-1.402(R2=0.043),y=3.546×10-5x3-0.003x2+0.108x-0.744(R2=0.126),y=1.022×10-5x3-0.001x2+0.048x-0.275(R2=0.243). Conclusion PostoperativeD90, D1m, D1e and D1s were positively correlated with postoperative tumor volume reduction ratio, which can be used to predict the efficacy of primary recurrent cervical squamous cell carcinoma patients with particle implantation. Compared with D90 and D1m, and D1e , D1s can be better predictors . To investigate the relationship between dose parameters and tumor volume reduction ratio after 125I seed implantation for recurrent cervical squamous cell carcinoma, and to obtain the better parameters to predict the curative effect. 26 cervical squamous cell carcinoma patients with 30 lesions were studied retrospectively in our clinic. All patients underwent dose verification immediately after operation, and obtained postoperative D90(the minimum peripheral dose accepted by 90% target volume). The patients were followed up regularly. According to the CT images during the actual follow-up, the tumor volume reduction ratio at the end of t months (Rt),the tumor volume reduction ratio 1 month after operation (R1), the first month actual absorbed dose (D1m), the first month efficacy corrected absorbed dose (D1e), the first month sensitivity corrected absorbed dose (D1s) and the t months actual absorbed dose (Dt) were calculated. Curve fitting was performed for postoperative D90 and R1, and curve fitti","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO57 PO57
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.158
Philippe Chatigny, Cédric Bélanger, Éric Poulin, Luc Beaulieu
Purpose In the past years, a key improvement in the generation of treatment plans in high-dose-rate (HDR) brachytherapy comes from the development of multicriteria optimization (MCO) algorithms that generate thousands of pareto optimal plans within seconds. This brings a shift, from the objective of generating an acceptable plan to choosing the best plans out of thousands. Not only does the chosen plan depend on the planner, it also takes about 5-10 minutes to choose the preferred plan. The purpose of the present work is to speed up this process and to find a common ground for different specialists regarding the plan quality. Materials and Methods An AI algorithm based on the ResNet deep neural network architecture is developed to choose the best plan(s) from the generated plans. The algorithm classifies the plans, from the 3D dose distribution and anatomical structures, in 3 different classes, (1) violating hard (minimum) criteria, (2) respecting hard criteria and (3) respecting soft criteria, with every class being more stringent than the last one (increase in plan quality). The three classes are based on dosimetric criteria used at our institution for 15 Gy in a single fraction. For the classification, the more confident the model is that a plan belongs to class 3, the better is the plan. To mimic the behaviour of experts, visual-like criteria are implemented for the bladder, rectum and urethra. Visual criteria are defined as 100% and 125% isodose distance from the organ at risk. During training, the algorithm learns the link between the inputs (3D dose and anatomy) and outputs (visual-like and DVH's criteria). 850 previously treated prostate's cancer patients are used for the training and another set of 20 patients previously evaluated by two experts (clinical medical physicist) as part of an inter-observer MCO study are used for validation. For the training, 100 plans are generated for each patient using MCO and 27 000 plans are chosen at random to have the same quantity in each class. A NVIDIA GeForce RTX 3090 is used for training. Results The model takes 20 s to classify 2000 plans in order of preference (vs 5-10 mins for experts to rank 4 preferred plans). Currently, the training time is not optimized and it takes less than 2 days to train on the 27 000 plans with 75 epochs. For the 20 validation patients, 39.9 ± 20.2%, 46.4 ± 15.3% and 14.5 ± 21.9% of the plan are in class 1, 2 and 3 respectively. Table 1 shows the results obtained on 20 cases, each with 2000 plans; the mean and deviation are calculated based on the plan chosen by the model and by the experts. The table includes the best ranked and worst ranked plan of class 3. Looking at the best plan according to the model and comparing it with the plan chosen by the two experts show that the behaviour is similar. Out of the 40 chosen plans by the two experts, on 3 occasions our model ranked the same plan as the best plan. Looking more in depth, we find that the median ranking of the p
在过去的几年中,高剂量率(HDR)近距离放射治疗方案生成的关键改进来自于多准则优化(MCO)算法的发展,该算法可以在几秒钟内生成数千个帕累托最优方案。这带来了一个转变,目标从生成一个可接受的计划转变为从数千个计划中选择最佳计划。所选择的计划不仅取决于计划者,而且还需要大约5-10分钟来选择首选计划。目前工作的目的是加快这一进程,并为不同的专家找到关于计划质量的共同基础。材料与方法基于ResNet深度神经网络架构,开发了一种人工智能算法,从生成的方案中选择最佳方案。该算法根据三维剂量分布和解剖结构将方案分为三类,(1)违反硬标准(最低),(2)尊重硬标准,(3)尊重软标准,每一类都比前一类严格(提高方案质量)。这三个等级是根据我们机构在单个分数中使用的剂量学标准为15 Gy。对于分类,模型越确信某计划属于第3类,则该计划越好。为了模仿专家的行为,对膀胱、直肠和尿道实施了类似视觉的标准。视觉标准定义为与危险器官的等剂量距离为100%和125%。在训练过程中,算法学习输入(3D剂量和解剖结构)和输出(视觉和DVH标准)之间的联系。850名先前接受过治疗的前列腺癌患者被用于培训,另外20名患者被两名专家(临床医学物理学家)作为观察者间MCO研究的一部分进行评估,用于验证。对于培训,使用MCO为每个患者生成100个计划,随机选择27000个计划,使每个班级的数量相同。NVIDIA GeForce RTX 3090用于训练。结果该模型对2000个方案按偏好排序需要20秒(专家对4个方案排序需要5-10分钟)。目前培训时间没有优化,27000计划75个epoch的培训时间不到2天。20例验证患者中,1、2、3类患者分别占39.9±20.2%、46.4±15.3%、14.5±21.9%。表1显示了20个案例的结果,每个案例有2000个计划;根据模型和专家选择的方案计算平均值和偏差。表格中包含了第3类排名最好和最差的计划。根据模型查看最佳方案,并将其与两位专家选择的方案进行比较,结果表明行为是相似的。在两位专家选择的40个方案中,我们的模型有3次将同一方案列为最佳方案。更深入地看,我们发现专家1和专家2选择的方案在2000个方案中排名中位数分别为71.5和136.5。在其中一种情况下,没有符合第3类DVH标准的计划,结果是次优的;每位专家选择的方案不符合其中1个标准,而我们的模型选择的方案不符合3个标准。这种类型的行为是不受欢迎的,接下来的步骤之一是解决这个罕见的问题,在这个问题上,达到所有标准是不可行的。加入视觉标准后,第3类的设计数量从原先的16500个减少到9000个。结论该方法快速,缩短了MCO计划的时间,初步结果显示了临床应用的潜力。该方法是灵活的,可以根据需要调整所有标准。未来的工作将研究模型改进,专家给出的最佳3类方案的非劣效性,以及如何快速限制导航方案的数量以获得更快的规划时间。在过去几年中,高剂量率(HDR)近距离放射治疗方案生成的关键改进来自多准则优化(MCO)算法的发展,该算法可在几秒钟内生成数千个帕累托最优方案。这带来了一个转变,目标从生成一个可接受的计划转变为从数千个计划中选择最佳计划。所选择的计划不仅取决于计划者,而且还需要大约5-10分钟来选择首选计划。目前工作的目的是加快这一进程,并为不同的专家找到关于计划质量的共同基础。开发了一种基于ResNet深度神经网络架构的人工智能算法,从生成的方案中选择最佳方案。 该算法根据三维剂量分布和解剖结构将方案分为三类,(1)违反硬标准(最低),(2)尊重硬标准,(3)尊重软标准,每一类都比前一类严格(提高方案质量)。这三个等级是根据我们机构在单个分数中使用的剂量学标准为15 Gy。对于分类,模型越确信某计划属于第3类,则该计划越好。为了模仿专家的行为,对膀胱、直肠和尿道实施了类似视觉的标准。视觉标准定义为与危险器官的等剂量距离为100%和125%。在训练过程中,算法学习输入(3D剂量和解剖结构)和输出(视觉和DVH标准)之间的联系。850名先前接受过治疗的前列腺癌患者被用于培训,另外20名患者被两名专家(临床医学物理学家)作为观察者间MCO研究的一部分进行评估,用于验证。对于培训,使用MCO为每个患者生成100个计划,随机选择27000个计划,使每个班级的数量相同。NVIDIA GeForce RTX 3090用于训练。该模型按偏好顺序对2000个计划进行分类需要20秒(专家对4个首选计划进行排序需要5-10分钟)。目前培训时间没有优化,27000计划75个epoch的培训时间不到2天。20例验证患者中,1、2、3类患者分别占39.9±20.2%、46.4±15.3%、14.5±21.9%。表1显示了20个案例的结果,每个案例有2000个计划;根据模型和专家选择的方案计算平均值和偏差。表格中包含了第3类排名最好和最差的计划。根据模型查看最佳方案,并将其与两位专家选择的方案进行比较,结果表明行为是相似的。在两位专家选择的40个方案中,我们的模型有3次将同一方案列为最佳方案。更深入地看,我们发现专家1和专家2选择的方案在2000个方案中排名中位数分别为71.5和136.5。在其中一种情况下,没有符合第3类DVH标准的计划,结果是次优的;每位专家选择的方案不符合其中1个标准,而我们的模型选择的方案不符合3个标准。这种类型的行为是不受欢迎的,接下来的步骤之一是解决这个罕见的问题,在这个问题上,达到所有标准是不可行的。加入视觉标准后,第3类的设计数量从原先的16500个减少到9000个。该方法快速,为MCO计划增加了可忽略不计的时间,初步结果显示了临床应用的潜力。该方法是灵活的,可以根据需要调整所有标准。未来的工作将研究模型改进,专家给出的最佳3类方案的非劣效性,以及如何快速限制导航方案的数量以获得更快的规划时间。 该算法根据三维剂量分布和解剖结构将方案分为三类,(1)违反硬标准(最低),(2)尊重硬标准,(3)尊重软标准,每一类都比前一类严格(提高方案质量)。这三个等级是根据我们机构在单个分数中使用的剂量学标准为15 Gy。对于分类,模型越确信某计划属于第3类,则该计划越好。为了模仿专家的行为,对膀胱、直肠和尿道实施了类似视觉的标准。视觉标准定义为与危险器官的等剂量距离为100%和125%。在训练过程中,算法学习输入(3D剂量和解剖结构)和输出(视觉和DVH标准)之间的联系。850名先前接受过治疗的前列腺癌患者被用于培训,另外20名患者被两名专家(临床医学物理学家)作为观察者间MCO研究的一部分进行评估,用于验证。对于培训,使用MCO为每个患者生成100个计划,随机选择27000个计划,使每个班级的数量相同。NVIDIA GeForce RTX 3090用于训练。该模型按偏好顺序对2000个计划进行分类需要20秒(专家对4个首选计划进行排序需要5-10分钟)。目前培训时间没有优化,27000计划75个epoch的培训时间不到2天。20例验证患者中,1、2、3类患者分别占39.9±20.2%、46.4±15.3%、14.5±21.9%。表1显示了20个案例的结果,每个案例有2000个计划;根据模型和专家选择的方案计算平均值和偏差。表格中包含了第3
{"title":"PO57","authors":"Philippe Chatigny, Cédric Bélanger, Éric Poulin, Luc Beaulieu","doi":"10.1016/j.brachy.2023.06.158","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.158","url":null,"abstract":"Purpose In the past years, a key improvement in the generation of treatment plans in high-dose-rate (HDR) brachytherapy comes from the development of multicriteria optimization (MCO) algorithms that generate thousands of pareto optimal plans within seconds. This brings a shift, from the objective of generating an acceptable plan to choosing the best plans out of thousands. Not only does the chosen plan depend on the planner, it also takes about 5-10 minutes to choose the preferred plan. The purpose of the present work is to speed up this process and to find a common ground for different specialists regarding the plan quality. Materials and Methods An AI algorithm based on the ResNet deep neural network architecture is developed to choose the best plan(s) from the generated plans. The algorithm classifies the plans, from the 3D dose distribution and anatomical structures, in 3 different classes, (1) violating hard (minimum) criteria, (2) respecting hard criteria and (3) respecting soft criteria, with every class being more stringent than the last one (increase in plan quality). The three classes are based on dosimetric criteria used at our institution for 15 Gy in a single fraction. For the classification, the more confident the model is that a plan belongs to class 3, the better is the plan. To mimic the behaviour of experts, visual-like criteria are implemented for the bladder, rectum and urethra. Visual criteria are defined as 100% and 125% isodose distance from the organ at risk. During training, the algorithm learns the link between the inputs (3D dose and anatomy) and outputs (visual-like and DVH's criteria). 850 previously treated prostate's cancer patients are used for the training and another set of 20 patients previously evaluated by two experts (clinical medical physicist) as part of an inter-observer MCO study are used for validation. For the training, 100 plans are generated for each patient using MCO and 27 000 plans are chosen at random to have the same quantity in each class. A NVIDIA GeForce RTX 3090 is used for training. Results The model takes 20 s to classify 2000 plans in order of preference (vs 5-10 mins for experts to rank 4 preferred plans). Currently, the training time is not optimized and it takes less than 2 days to train on the 27 000 plans with 75 epochs. For the 20 validation patients, 39.9 ± 20.2%, 46.4 ± 15.3% and 14.5 ± 21.9% of the plan are in class 1, 2 and 3 respectively. Table 1 shows the results obtained on 20 cases, each with 2000 plans; the mean and deviation are calculated based on the plan chosen by the model and by the experts. The table includes the best ranked and worst ranked plan of class 3. Looking at the best plan according to the model and comparing it with the plan chosen by the two experts show that the behaviour is similar. Out of the 40 chosen plans by the two experts, on 3 occasions our model ranked the same plan as the best plan. Looking more in depth, we find that the median ranking of the p","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO115 PO115
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.216
Miren Gaztañaga, Virginia Álvarez, Javier De Areba, Saadia Tremolada, Pino Alcántara, Elena Cerezo, Juan Antonio Corona, Anxela Doval, Fernando Puebla, Noelia Sanmamed, Manuel Gonzalo Vázquez
Purpose Perioperative accelerated partial breast irradiation with multicatheter interstitial brachytherapy is an alternative to the postoperative option that offers advantages in terms of specificity and comfort for patients as it avoids a second procedure. Since the simulation CT scan is performed 48 hours after the intervention, immediate tissue changes as air gaps can occasionally be observed. To our knowledge, there is no literature published on this regard, so the aim of this study was to assess the impact of significant air gaps when planning and treating multicatheter perioperative breast cancer brachytherapy. Methods and Materials Two consecutive cases with air gaps > 6 cc were included. For each case, a planning CT scan was performed 48 hours after the surgical procedure (tumorectomy + catheter insertion). Treatment planning was performed according to the department protocol and administered in an ultra-fractionated scheme: 3 fractions of 745 cGy every 12 hours. A second CT scan was performed right after the last treatment fraction, before the catheter removal. The air gaps have been contoured in both pre and post-treatment CTs and their volumes have been compared. The scans have been fused and the dosimetric differences have been evaluated. A total of 13 catheters have been analyzed in both scans. Results A volume reduction (-10% and -30% for each case) has been observed in the post-treatment air gap. Of the 13 catheters compared in the CT scans fusion, the catheter position displacement inside CTV was ≤ 1.5 mm in 12 of them (median displacement 1 mm), with one catheter displaced 2.7 mm in the post-treatment CT. Mean CTVD90 and V100 variation in the pre and post-treatment scans were -1.5 and -1.7% respectively. Dose variations in surrounding organs were: Skin Dmax -10 and -3%, Ribs Dmax +15 and +15% and Ipsilateral Lung Dmax +12 and +13%. Dosimetric disparities did not exceed tolerance and coverage limits in any case. Conclusions With two cases analyzed, the volumetric reduction of the air gaps does not seem to affect the geometry of the implants, with most of the catheters remaining stable in their initial position. Discrete changes in the coverage parameters and doses to OARs fulfill the pre-established constraints. The confirmation of these results as well as the clinical relevance of these changes has to be examined in future studies including more patients. Perioperative accelerated partial breast irradiation with multicatheter interstitial brachytherapy is an alternative to the postoperative option that offers advantages in terms of specificity and comfort for patients as it avoids a second procedure. Since the simulation CT scan is performed 48 hours after the intervention, immediate tissue changes as air gaps can occasionally be observed. To our knowledge, there is no literature published on this regard, so the aim of this study was to assess the impact of significant air gaps when planning and treating multicatheter perioperati
目的围手术期多导管间质近距离加速乳房部分照射是术后的一种替代选择,它在特异性和舒适性方面为患者提供了优势,因为它避免了第二次手术。由于模拟CT扫描是在干预后48小时进行的,因此偶尔可以观察到立即的组织变化,如气隙。据我们所知,在这方面没有文献发表,因此本研究的目的是评估在多导管乳腺癌围手术期近距离放疗计划和治疗时显著气隙的影响。方法与材料连续2例气隙大于6cc的病例。对于每个病例,在手术(肿瘤切除+导管插入)后48小时进行计划CT扫描。治疗计划按照科室方案执行,采用超分馏方案:每12小时进行3次745 cGy的分馏。第二次CT扫描是在最后一次治疗后,导管取出之前进行的。在治疗前和治疗后的ct中对气隙进行了轮廓,并对其体积进行了比较。扫描结果已经融合并评估了剂量学差异。两次扫描共分析了13根导管。结果观察到治疗后的气隙体积缩小(-10%和-30%)。CT扫描融合比较13根导管,其中12根导管在CTV内位置移位≤1.5 mm(中位移位1mm), 1根导管在治疗后CT上移位2.7 mm。治疗前后扫描CTVD90和V100的平均变化分别为-1.5和-1.7%。周围器官的剂量变化为:皮肤Dmax为-10和-3%,肋骨Dmax为+15和+15%,同侧肺Dmax为+12和+13%。剂量学差异在任何情况下都没有超过容忍和覆盖限度。结论通过对两例病例的分析,气隙的体积缩小似乎不影响种植体的几何形状,大多数导管在初始位置保持稳定。覆盖参数和桨叶剂量的离散变化满足预先建立的约束条件。这些结果的确认以及这些变化的临床相关性必须在未来的研究中进行检查,包括更多的患者。多导管间质近距离加速乳房围手术期局部照射是术后的一种替代选择,它在特异性和舒适性方面为患者提供了优势,因为它避免了第二次手术。由于模拟CT扫描是在干预后48小时进行的,因此偶尔可以观察到立即的组织变化,如气隙。据我们所知,在这方面没有文献发表,因此本研究的目的是评估在多导管乳腺癌围手术期近距离放疗计划和治疗时显著气隙的影响。连续两例气隙> 6cc。对于每个病例,在手术(肿瘤切除+导管插入)后48小时进行计划CT扫描。治疗计划按照科室方案执行,采用超分馏方案:每12小时进行3次745 cGy的分馏。第二次CT扫描是在最后一次治疗后,导管取出之前进行的。在治疗前和治疗后的ct中对气隙进行了轮廓,并对其体积进行了比较。扫描结果已经融合并评估了剂量学差异。两次扫描共分析了13根导管。在治疗后的气隙中观察到体积减少(每种病例-10%和-30%)。CT扫描融合比较13根导管,其中12根导管在CTV内位置移位≤1.5 mm(中位移位1mm), 1根导管在治疗后CT上移位2.7 mm。治疗前后扫描CTVD90和V100的平均变化分别为-1.5和-1.7%。周围器官的剂量变化为:皮肤Dmax为-10和-3%,肋骨Dmax为+15和+15%,同侧肺Dmax为+12和+13%。剂量学差异在任何情况下都没有超过容忍和覆盖限度。通过对两个病例的分析,气隙的体积减小似乎并不影响植入物的几何形状,大多数导管在其初始位置保持稳定。覆盖参数和桨叶剂量的离散变化满足预先建立的约束条件。这些结果的确认以及这些变化的临床相关性必须在未来的研究中进行检查,包括更多的患者。
{"title":"PO115","authors":"Miren Gaztañaga, Virginia Álvarez, Javier De Areba, Saadia Tremolada, Pino Alcántara, Elena Cerezo, Juan Antonio Corona, Anxela Doval, Fernando Puebla, Noelia Sanmamed, Manuel Gonzalo Vázquez","doi":"10.1016/j.brachy.2023.06.216","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.216","url":null,"abstract":"Purpose Perioperative accelerated partial breast irradiation with multicatheter interstitial brachytherapy is an alternative to the postoperative option that offers advantages in terms of specificity and comfort for patients as it avoids a second procedure. Since the simulation CT scan is performed 48 hours after the intervention, immediate tissue changes as air gaps can occasionally be observed. To our knowledge, there is no literature published on this regard, so the aim of this study was to assess the impact of significant air gaps when planning and treating multicatheter perioperative breast cancer brachytherapy. Methods and Materials Two consecutive cases with air gaps > 6 cc were included. For each case, a planning CT scan was performed 48 hours after the surgical procedure (tumorectomy + catheter insertion). Treatment planning was performed according to the department protocol and administered in an ultra-fractionated scheme: 3 fractions of 745 cGy every 12 hours. A second CT scan was performed right after the last treatment fraction, before the catheter removal. The air gaps have been contoured in both pre and post-treatment CTs and their volumes have been compared. The scans have been fused and the dosimetric differences have been evaluated. A total of 13 catheters have been analyzed in both scans. Results A volume reduction (-10% and -30% for each case) has been observed in the post-treatment air gap. Of the 13 catheters compared in the CT scans fusion, the catheter position displacement inside CTV was ≤ 1.5 mm in 12 of them (median displacement 1 mm), with one catheter displaced 2.7 mm in the post-treatment CT. Mean CTVD90 and V100 variation in the pre and post-treatment scans were -1.5 and -1.7% respectively. Dose variations in surrounding organs were: Skin Dmax -10 and -3%, Ribs Dmax +15 and +15% and Ipsilateral Lung Dmax +12 and +13%. Dosimetric disparities did not exceed tolerance and coverage limits in any case. Conclusions With two cases analyzed, the volumetric reduction of the air gaps does not seem to affect the geometry of the implants, with most of the catheters remaining stable in their initial position. Discrete changes in the coverage parameters and doses to OARs fulfill the pre-established constraints. The confirmation of these results as well as the clinical relevance of these changes has to be examined in future studies including more patients. Perioperative accelerated partial breast irradiation with multicatheter interstitial brachytherapy is an alternative to the postoperative option that offers advantages in terms of specificity and comfort for patients as it avoids a second procedure. Since the simulation CT scan is performed 48 hours after the intervention, immediate tissue changes as air gaps can occasionally be observed. To our knowledge, there is no literature published on this regard, so the aim of this study was to assess the impact of significant air gaps when planning and treating multicatheter perioperati","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO50 PO50
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.151
Michael Jason Gutman, Tianming Wu, Christina Son, Hania Al-Hallaq, Yasmin Hasan
Purpose Triple tandem brachytherapy (TTB) provides superior coverage of the uterus and minimizes dose to OARs compared to single or dual tandem therapy, per prior dosimetric analysis of 3 representative cases (1). We report the technical feasibility and dosimetry of TTB in a cohort of patients with medically inoperable endometrial cancer (EC). Materials and Methods An IRB approved retrospective review was performed of all medically inoperable EC patients treated definitively with TTB ± external beam radiotherapy (EBRT) between 2014-2021 at a single institution (n=30). Patients underwent off-line MRI which was fused for planning (n=24, 80%) and all underwent intraoperative transabdominal ultrasound for dilation and device placement. Patients had FIGO stage 1a-4b disease; patients with ≥ stage 2 disease received TTB +/- ovoids. Kaplan-Meier estimates were generated to estimate local failure-free survival (LFFS). The equivalent dose in 2-Gy fractions (EQD2) constraints for dose to 2cc (D2cc) of the bladder, rectum, and bowel were <90Gy, <75Gy, and <65Gy, respectively, per ABS guidelines. The cumulative D90% (minimum dose to 90% of volume) in EQD2 was calculated for GTV and CTV and the organs at risk (OAR) for each patient. Statistics reported are median values and ranges. The dwell time contribution from each tandem was collected. Results Of 30 patients, 93.3% received EBRT and TTB. Mean age at time of diagnosis was 65.3 years (range: 40.5-88.7 years). The median BMI was 48.1 (range: 27.8-69). The median prescribed doses were 45 Gy (range: 21-50.4 Gy) for EBRT and 22.25 Gy in 5 fractions (range: 16.5-49.1 Gy) for brachytherapy. The median cumulative EQD2 to the GTV was 78.6 Gy (range: 67.8- 86.6) and to the CTV was 67.6 Gy (range: 48- 79.8), of which the TTB contributed a median EQD2 of 33.8 Gy and 23.3 Gy to the GTV and CTV, respectively. The central tandem was not placed for 4 patients (13.3%) due to concern for posterior cervix and/or posterior uterine wall perforation. In the entire cohort, the central tandem contributed at least 10% and 15% of the dwell time in 77% (n=23) and 60% (n=18) of patients, respectively (Figure 1). In one third of patients, the central tandem contributed ≥30% of the dwell time. The lateral tandems contributed the majority (82%, range: 32-100%) of total dwells. Median follow up was 32.1 months (1.7-93.6 months). Kaplan-Meier-estimated 1-/5-yr LFFS was 96.2%/84.1%. The cumulative D2cc: 71.0Gy (range: 25.2-91.2Gy) to the bladder, 53.6Gy (range: 25.2-76.2Gy) to the rectum, and 58.1Gy (range: 14.1-72Gy) to the small bowel. No procedure-related perforation, bleeding or acute complication occurred intra- or post-operatively. Conclusions TTB + EBRT for inoperable EC patients was safe and acceptable target coverage was achieved in most cases. While posterior/central tandem insertion may not be feasible for all patients in our experience, this limitation was not prohibitive to adequate dose distribution and local control. Furthe
目的:根据对3例典型病例的剂量学分析(1),与单次或双次近距离放射治疗相比,三次串联近距离放射治疗(TTB)提供了更好的子宫覆盖范围,并将OARs的剂量降至最低。我们报告了TTB在一组医学上不能手术的子宫内膜癌(EC)患者中的技术可行性和剂量学。材料和方法:对2014-2021年间在同一医院接受TTB±外束放疗(EBRT)的所有医学上不能手术的EC患者(n=30)进行了IRB批准的回顾性研究。患者均行离线MRI融合规划(n= 24,80 %),术中均行经腹超声进行扩张和装置放置。FIGO分期为1a-4b期;≥2期患者接受TTB +/-卵泡治疗。Kaplan-Meier估计用于估计局部无故障生存(LFFS)。根据ABS指南,膀胱、直肠和肠道剂量至2cc (D2cc)的2 gy当量剂量(EQD2)限制分别为<90Gy、<75Gy和<65Gy。计算每个患者GTV和CTV以及危险器官(OAR)的EQD2累积D90%(最小剂量至体积的90%)。报告的统计数据是中值和范围。收集每个串联的停留时间贡献。结果30例患者中,93.3%的患者接受了EBRT和TTB治疗。确诊时平均年龄65.3岁(范围40.5-88.7岁)。BMI中位数为48.1(范围:27.8-69)。EBRT的中位处方剂量为45 Gy(范围:21-50.4 Gy),近距离治疗的5次处方剂量为22.25 Gy(范围:16.5-49.1 Gy)。累积EQD2对GTV的中位数为78.6 Gy(范围:67.8 ~ 86.6),对CTV的中位数为67.6 Gy(范围:48 ~ 79.8),其中TTB对GTV和CTV的EQD2中位数分别为33.8 Gy和23.3 Gy。4例(13.3%)患者由于担心后宫颈和/或子宫后壁穿孔而未放置中央串联。在整个队列中,在77% (n=23)和60% (n=18)的患者中,中心串联分别贡献了至少10%和15%的停留时间(图1)。在三分之一的患者中,中心串联贡献了≥30%的停留时间。横向串联占总住宅的大部分(82%,范围:32-100%)。中位随访时间为32.1个月(1.7 ~ 93.6个月)。kaplan - meier估计的1年/5年LFFS为96.2%/84.1%。累积D2cc:膀胱71.0Gy(范围:25.2-91.2Gy),直肠53.6Gy(范围:25.2-76.2Gy),小肠58.1Gy(范围:14.1-72Gy)。术中、术后未发生手术相关穿孔、出血或急性并发症。结论TTB + EBRT治疗不能手术的EC患者是安全的,大多数病例达到了可接受的目标覆盖率。虽然根据我们的经验,后路/中央串联插入可能并不适用于所有患者,但这一限制并不妨碍适当的剂量分配和局部控制。进一步的分析可能有助于预先确定导致插入困难的解剖学因素和实现适当剂量测定的替代方法。(1)近距离放疗。2014年5月- 6月;13(3):268-74根据对3例代表性病例的剂量学分析,三次串联近距离放疗(TTB)与单次或双次串联治疗相比,提供了更好的子宫覆盖范围,并将OARs的剂量降至最低(1)。我们报告了TTB在医学上不能手术的子宫内膜癌(EC)患者队列中的技术可行性和剂量学。一项经IRB批准的回顾性研究对2014-2021年间在单一机构(n=30)接受TTB±外束放疗(EBRT)治疗的所有医学上不能手术的EC患者进行了研究。患者均行离线MRI融合规划(n= 24,80 %),术中均行经腹超声进行扩张和装置放置。FIGO分期为1a-4b期;≥2期患者接受TTB +/-卵泡治疗。Kaplan-Meier估计用于估计局部无故障生存(LFFS)。根据ABS指南,膀胱、直肠和肠道剂量至2cc (D2cc)的2 gy当量剂量(EQD2)限制分别为<90Gy、<75Gy和<65Gy。计算每个患者GTV和CTV以及危险器官(OAR)的EQD2累积D90%(最小剂量至体积的90%)。报告的统计数据是中值和范围。收集每个串联的停留时间贡献。在30例患者中,93.3%的患者接受了EBRT和TTB。确诊时平均年龄65.3岁(范围40.5-88.7岁)。BMI中位数为48.1(范围:27.8-69)。EBRT的中位处方剂量为45 Gy(范围:21-50.4 Gy),近距离治疗的5次处方剂量为22.25 Gy(范围:16.5-49.1 Gy)。累积EQD2对GTV的中位数为78.6 Gy(范围:67.8- 86.6),对CTV的中位数为67.6 Gy(范围:48- 79.8),其中TTB对EQD2的中位数贡献为33.8 Gy和23。 目的:根据对3例典型病例的剂量学分析(1),与单次或双次近距离放射治疗相比,三次串联近距离放射治疗(TTB)提供了更好的子宫覆盖范围,并将OARs的剂量降至最低。我们报告了TTB在一组医学上不能手术的子宫内膜癌(EC)患者中的技术可行性和剂量学。材料和方法:对2014-2021年间在同一医院接受TTB±外束放疗(EBRT)的所有医学上不能手术的EC患者(n=30)进行了IRB批准的回顾性研究。患者均行离线MRI融合规划(n= 24,80 %),术中均行经腹超声进行扩张和装置放置。FIGO分期为1a-4b期;≥2期患者接受TTB +/-卵泡治疗。Kaplan-Meier估计用于估计局部无故障生存(LFFS)。根据ABS指南,膀胱、直肠和肠道剂量至2cc (D2cc)的2 gy当量剂量(EQD2)限制分别为<90Gy、<75Gy和<65Gy。计算每个患者GTV和CTV以及危险器官(OAR)的EQD2累积D90%(最小剂量至体积的90%)。报告的统计数据是中值和范围。收集每个串联的停留时间贡献。结果30例患者中,93.3%的患者接受了EBRT和TTB治疗。确诊时平均年龄65.3岁(范围40.5-88.7岁)。BMI中位数为48.1(范围:27.8-69)。EBRT的中位处方剂量为45 Gy(范围:21-50.4 Gy),近距离治疗的5次处方剂量为22.25 Gy(范围:16.5-49.1 Gy)。累积EQD2对GTV的中位数为78.6 Gy(范围:67.8 ~ 86.6),对CTV的中位数为67.6 Gy(范围:48 ~ 79.8),其中TTB对GTV和CTV的EQD2中位数分别为33.8 Gy和23.3 Gy。4例(13.3%)患者由于担心后宫颈和/或子宫后壁穿孔而未放置中央串联。在整个队列中,在77% (n=23)和60% (n=18)的患者中,中心串联分别贡献了至少10%和15%的停留时间(图1)。在三分之一的患者中,中心串联贡献了≥30%的停留时间。横向串联占总住宅的大部分(82%,范围:32-100%)。中位随访时间为32.1个月(1.7 ~ 93.6个月)。kaplan - meier估计的1年/5年LFFS为96.2%/84.1%。累积D2cc:膀胱71.0Gy(范围:25.2-91.2Gy),直肠53.6Gy(范围:25.2-76.2Gy),小肠58.1Gy(范围:14.1-72Gy)。术中、术后未发生手术相关穿孔、出血或急性并发症。结论TTB + EBRT治疗不能手术的EC患者是安全
{"title":"PO50","authors":"Michael Jason Gutman, Tianming Wu, Christina Son, Hania Al-Hallaq, Yasmin Hasan","doi":"10.1016/j.brachy.2023.06.151","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.151","url":null,"abstract":"Purpose Triple tandem brachytherapy (TTB) provides superior coverage of the uterus and minimizes dose to OARs compared to single or dual tandem therapy, per prior dosimetric analysis of 3 representative cases (1). We report the technical feasibility and dosimetry of TTB in a cohort of patients with medically inoperable endometrial cancer (EC). Materials and Methods An IRB approved retrospective review was performed of all medically inoperable EC patients treated definitively with TTB ± external beam radiotherapy (EBRT) between 2014-2021 at a single institution (n=30). Patients underwent off-line MRI which was fused for planning (n=24, 80%) and all underwent intraoperative transabdominal ultrasound for dilation and device placement. Patients had FIGO stage 1a-4b disease; patients with ≥ stage 2 disease received TTB +/- ovoids. Kaplan-Meier estimates were generated to estimate local failure-free survival (LFFS). The equivalent dose in 2-Gy fractions (EQD2) constraints for dose to 2cc (D2cc) of the bladder, rectum, and bowel were <90Gy, <75Gy, and <65Gy, respectively, per ABS guidelines. The cumulative D90% (minimum dose to 90% of volume) in EQD2 was calculated for GTV and CTV and the organs at risk (OAR) for each patient. Statistics reported are median values and ranges. The dwell time contribution from each tandem was collected. Results Of 30 patients, 93.3% received EBRT and TTB. Mean age at time of diagnosis was 65.3 years (range: 40.5-88.7 years). The median BMI was 48.1 (range: 27.8-69). The median prescribed doses were 45 Gy (range: 21-50.4 Gy) for EBRT and 22.25 Gy in 5 fractions (range: 16.5-49.1 Gy) for brachytherapy. The median cumulative EQD2 to the GTV was 78.6 Gy (range: 67.8- 86.6) and to the CTV was 67.6 Gy (range: 48- 79.8), of which the TTB contributed a median EQD2 of 33.8 Gy and 23.3 Gy to the GTV and CTV, respectively. The central tandem was not placed for 4 patients (13.3%) due to concern for posterior cervix and/or posterior uterine wall perforation. In the entire cohort, the central tandem contributed at least 10% and 15% of the dwell time in 77% (n=23) and 60% (n=18) of patients, respectively (Figure 1). In one third of patients, the central tandem contributed ≥30% of the dwell time. The lateral tandems contributed the majority (82%, range: 32-100%) of total dwells. Median follow up was 32.1 months (1.7-93.6 months). Kaplan-Meier-estimated 1-/5-yr LFFS was 96.2%/84.1%. The cumulative D2cc: 71.0Gy (range: 25.2-91.2Gy) to the bladder, 53.6Gy (range: 25.2-76.2Gy) to the rectum, and 58.1Gy (range: 14.1-72Gy) to the small bowel. No procedure-related perforation, bleeding or acute complication occurred intra- or post-operatively. Conclusions TTB + EBRT for inoperable EC patients was safe and acceptable target coverage was achieved in most cases. While posterior/central tandem insertion may not be feasible for all patients in our experience, this limitation was not prohibitive to adequate dose distribution and local control. Furthe","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO30 PO30
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.131
Y. Jessica Huang, Jeremy Kunz, Hui Zhao, Geoff Nelson, Cristina DeCesaris, Lindsay Burt, Gita Suneja, David Gaffney
{"title":"PO30","authors":"Y. Jessica Huang, Jeremy Kunz, Hui Zhao, Geoff Nelson, Cristina DeCesaris, Lindsay Burt, Gita Suneja, David Gaffney","doi":"10.1016/j.brachy.2023.06.131","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.131","url":null,"abstract":"","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO71 PO71
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.172
Hong Zhang, Catherine Liu
Purpose High-Dose-Rate Brachytherapy (HDR-BT) is an effective yet under-utilized treatment option for localized prostate cancer. Many studies have shown excellent long-term biochemical-failure-free survival outcomes with limited toxicity from HDR-BT as monotherapy for low- or intermediate-risk prostate cancer. However, due to higher start-up costs, less reimbursement, and inadequacy in residency training, far fewer radiation facilities are offering BT than external beam radiation (EBRT). Here, we performed a single-center, retrospective cohort study to evaluate the travel burdens put on patients who received BT as monotherapy at our high-volume center and if they had chosen external beam radiation close to home for localized prostate cancer. Materials and Methods From 1/1/2019 to 12/31/2022, 69 men were treated with HDR-BT as monotherapy at our brachytherapy center, receiving 27 Gy in 2 fractions, one week apart. Sixty-eight men had low- or intermediate-risk prostate cancer (Table). The travel burden for HDR-BT as monotherapy was estimated by collecting the distance between each patient's home address to our BT center (BT-D). The distance between each patient's home address and the nearest EBRT facility (EBRT-D) was also collected. The total travel burden for EBRT was then calculated, assuming a standard regiment of 28 fractions was used. Results Of the 69 patients who received BT for prostate cancer, the average age was 67.9 years, the overwhelming majority were white (96%), and all had insurance. The median and average EBRT-D were 5.5 and 8.3 miles, respectively. The median and average BT-D were 21 and 37.4 miles, respectively. However, due to the fewer visits required for BT (2 versus 28 trips), the total BT travel burden (median 84 miles, average 150.0 miles) was significantly less than for these patients if they had chosen EBRT instead (median 308 miles, average 462.5 miles) (p<0.01). On average, by choosing BT instead of EBRT, these patients reduced their travel burden by 312.5 miles. Conclusions We observed a significantly decreased overall travel burden for HDR-BT as monotherapy compared with EBRT in our cohort of patients with localized prostate cancer, despite a longer travel distance to our BT center than a nearby EBRT facility. Our study supports that HDR-BT as monotherapy remains a practical and preferred option for patients with localized prostate cancer, not only for its proven safety and efficacy but also decreased overall travel burden compared with definitive EBRT therapy. High-Dose-Rate Brachytherapy (HDR-BT) is an effective yet under-utilized treatment option for localized prostate cancer. Many studies have shown excellent long-term biochemical-failure-free survival outcomes with limited toxicity from HDR-BT as monotherapy for low- or intermediate-risk prostate cancer. However, due to higher start-up costs, less reimbursement, and inadequacy in residency training, far fewer radiation facilities are offering BT than external be
目的高剂量率近距离放射治疗(HDR-BT)是治疗局限性前列腺癌的一种有效但尚未充分利用的治疗方法。许多研究表明,HDR-BT单药治疗低或中危险前列腺癌具有良好的长期生化无衰竭生存结果和有限的毒性。然而,由于较高的启动成本、较少的报销以及住院医师培训的不足,提供BT的辐射设施远少于外束辐射(EBRT)。在这里,我们进行了一项单中心、回顾性队列研究,以评估在我们的大容量中心接受BT作为单一治疗的患者的旅行负担,以及如果他们选择离家近的外束辐射治疗局限性前列腺癌。材料与方法2019年1月1日至2022年12月31日,69名男性在我院近距离治疗中心接受HDR-BT单药治疗,分2次接受27 Gy,间隔1周。68名男性患有低危或中危前列腺癌(表)。通过收集每个患者的家庭住址到我们的BT中心(BT- d)之间的距离来估计单药治疗HDR-BT的旅行负担。还收集了每位患者的家庭住址与最近的EBRT设施(EBRT- d)之间的距离。然后计算EBRT的总旅行负担,假设使用28个分数的标准团。结果69例前列腺癌BT患者,平均年龄67.9岁,绝大多数为白人(96%),均有保险。EBRT-D的中位数和平均值分别为5.5英里和8.3英里。BT-D的中位数和平均值分别为21英里和37.4英里。然而,由于BT所需的就诊次数较少(2次对28次),BT总旅行负担(中位数84英里,平均150.0英里)显著低于选择EBRT的患者(中位数308英里,平均462.5英里)(p<0.01)。平均而言,通过选择BT而不是EBRT,这些患者减少了312.5英里的出行负担。结论:我们观察到,在我们的局限性前列腺癌患者队列中,尽管到我们的BT中心的路程比附近的EBRT设施要远,但与EBRT相比,HDR-BT单药治疗的总旅行负担显著降低。我们的研究支持HDR-BT作为单一疗法仍然是局限性前列腺癌患者的实用和首选选择,不仅因为其已被证明的安全性和有效性,而且与确定的EBRT治疗相比,还减少了总体旅行负担。高剂量率近距离放射治疗(HDR-BT)是治疗局限性前列腺癌的一种有效但尚未充分利用的治疗选择。许多研究表明,HDR-BT单药治疗低或中危险前列腺癌具有良好的长期生化无衰竭生存结果和有限的毒性。然而,由于较高的启动成本、较少的报销以及住院医师培训的不足,提供BT的辐射设施远少于外束辐射(EBRT)。在这里,我们进行了一项单中心、回顾性队列研究,以评估在我们的大容量中心接受BT作为单一治疗的患者的旅行负担,以及如果他们选择离家近的外束辐射治疗局限性前列腺癌。从2019年1月1日至2022年12月31日,69名男性在我们的近距离治疗中心接受HDR-BT单药治疗,分2次接受27 Gy,间隔一周。68名男性患有低危或中危前列腺癌(表)。通过收集每个患者的家庭住址到我们的BT中心(BT- d)之间的距离来估计单药治疗HDR-BT的旅行负担。还收集了每位患者的家庭住址与最近的EBRT设施(EBRT- d)之间的距离。然后计算EBRT的总旅行负担,假设使用28个分数的标准团。在69名因前列腺癌接受BT治疗的患者中,平均年龄为67.9岁,绝大多数是白人(96%),并且所有患者都有保险。EBRT-D的中位数和平均值分别为5.5英里和8.3英里。BT-D的中位数和平均值分别为21英里和37.4英里。然而,由于BT所需的就诊次数较少(2次对28次),BT总旅行负担(中位数84英里,平均150.0英里)显著低于选择EBRT的患者(中位数308英里,平均462.5英里)(p<0.01)。平均而言,通过选择BT而不是EBRT,这些患者减少了312.5英里的出行负担。我们观察到,与EBRT相比,在我们的局限性前列腺癌患者队列中,HDR-BT作为单药治疗的总体旅行负担显著降低,尽管到我们的BT中心的旅行距离比附近的EBRT设施要长。 我们的研究支持HDR-BT作为单一疗法仍然是局限性前列腺癌患者的实用和首选选择,不仅因为其已被证明的安全性和有效性,而且与确定的EBRT治疗相比,还减少了总体旅行负担。 我们的研究支持HDR-BT作为单一疗法仍然是局限性前列腺癌患者的实用和首选选择,不仅因为其已被证明的安全性和有效性,而且与确定的EBRT治疗相比,还减少了总体旅行负担。
{"title":"PO71","authors":"Hong Zhang, Catherine Liu","doi":"10.1016/j.brachy.2023.06.172","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.172","url":null,"abstract":"Purpose High-Dose-Rate Brachytherapy (HDR-BT) is an effective yet under-utilized treatment option for localized prostate cancer. Many studies have shown excellent long-term biochemical-failure-free survival outcomes with limited toxicity from HDR-BT as monotherapy for low- or intermediate-risk prostate cancer. However, due to higher start-up costs, less reimbursement, and inadequacy in residency training, far fewer radiation facilities are offering BT than external beam radiation (EBRT). Here, we performed a single-center, retrospective cohort study to evaluate the travel burdens put on patients who received BT as monotherapy at our high-volume center and if they had chosen external beam radiation close to home for localized prostate cancer. Materials and Methods From 1/1/2019 to 12/31/2022, 69 men were treated with HDR-BT as monotherapy at our brachytherapy center, receiving 27 Gy in 2 fractions, one week apart. Sixty-eight men had low- or intermediate-risk prostate cancer (Table). The travel burden for HDR-BT as monotherapy was estimated by collecting the distance between each patient's home address to our BT center (BT-D). The distance between each patient's home address and the nearest EBRT facility (EBRT-D) was also collected. The total travel burden for EBRT was then calculated, assuming a standard regiment of 28 fractions was used. Results Of the 69 patients who received BT for prostate cancer, the average age was 67.9 years, the overwhelming majority were white (96%), and all had insurance. The median and average EBRT-D were 5.5 and 8.3 miles, respectively. The median and average BT-D were 21 and 37.4 miles, respectively. However, due to the fewer visits required for BT (2 versus 28 trips), the total BT travel burden (median 84 miles, average 150.0 miles) was significantly less than for these patients if they had chosen EBRT instead (median 308 miles, average 462.5 miles) (p<0.01). On average, by choosing BT instead of EBRT, these patients reduced their travel burden by 312.5 miles. Conclusions We observed a significantly decreased overall travel burden for HDR-BT as monotherapy compared with EBRT in our cohort of patients with localized prostate cancer, despite a longer travel distance to our BT center than a nearby EBRT facility. Our study supports that HDR-BT as monotherapy remains a practical and preferred option for patients with localized prostate cancer, not only for its proven safety and efficacy but also decreased overall travel burden compared with definitive EBRT therapy. High-Dose-Rate Brachytherapy (HDR-BT) is an effective yet under-utilized treatment option for localized prostate cancer. Many studies have shown excellent long-term biochemical-failure-free survival outcomes with limited toxicity from HDR-BT as monotherapy for low- or intermediate-risk prostate cancer. However, due to higher start-up costs, less reimbursement, and inadequacy in residency training, far fewer radiation facilities are offering BT than external be","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO74 PO74
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.175
Milad Payandeh, Faraz Kalantari, Mahdi Sadeghi, Gary Lewis, Somayeh Gholami
{"title":"PO74","authors":"Milad Payandeh, Faraz Kalantari, Mahdi Sadeghi, Gary Lewis, Somayeh Gholami","doi":"10.1016/j.brachy.2023.06.175","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.175","url":null,"abstract":"","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO117 PO117
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.218
Christina Small, Lindsey A. McAlarnen, Kristin Tischer, Melanie Sona, Saryleine Ortiz, Elizabeth E. Hopp, Beth Erickson, Meena Bedi
{"title":"PO117","authors":"Christina Small, Lindsey A. McAlarnen, Kristin Tischer, Melanie Sona, Saryleine Ortiz, Elizabeth E. Hopp, Beth Erickson, Meena Bedi","doi":"10.1016/j.brachy.2023.06.218","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.218","url":null,"abstract":"","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO85 PO85
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.186
Juan Wang, Huimin Yu, Hongtao Zhang, Zezhou Liu
{"title":"PO85","authors":"Juan Wang, Huimin Yu, Hongtao Zhang, Zezhou Liu","doi":"10.1016/j.brachy.2023.06.186","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.186","url":null,"abstract":"","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PO35 PO35
Pub Date : 2023-09-01 DOI: 10.1016/j.brachy.2023.06.136
Suman Gautam, Alexander F. I Osman, Dylan Richerson, Binod Manandhar, Sharmin Alam, William Y. Song
Purpose The purpose of this work is to develop a voxel-wise dose prediction system using convolutional neural network (CNN) for cervical cancer high-dose-rate (HDR) intracavitary brachytherapy treatment planning with tandem-and-ovoid (T&O) or tandem-and-ring (T&R) applicators. Materials and Methods A 3D U-NET CNN was implemented to generate voxel-wise dose predictions based on high-risk clinical target volume (HRCTV) and organs at risk (OAR) contour information. A multi-institutional cohort of 77 retrospective clinical HDR brachytherapy plans treated to a prescription dose in the range of 4.8-7.0 Gy/fx was used in this study. Those plans were randomly divided into 60%/20%/20% as training, validating, and testing cohorts. Data augmentation techniques like flip diagonally, flip left and right, flipping up and down, and rotating 90 degrees were implemented in the training and validation cohort data to increase the number of plans to 252. The model was trained using the mean-squared loss function, Adam optimization algorithm, a learning rate of 0.001, 250 epochs, and a batch size of 8. The model performance was evaluated on the testing dataset by analyzing the outcomes in terms of maximum dose values and derived dose-volume-histogram (DVH) indices from 3D dose distributions and comparing the generated dose distributions against the ground-truth dose distributions using dose statistics and clinically meaningful dosimetric indices. Results The proposed 3D U-Net model showed competitive accuracy in predicting 3D dose distributions that closely resemble the ground truth dose distributions. The average value of mean absolute error was 0.108±3.617 Gy for HRCTV, 0.074±1.315 Gy for bladder, 0.093±0.981 Gy for rectum, and 0.035±2.789 Gy for sigmoid. The median absolute error was 0.126 Gy for HRCTV, 0.041 Gy for the bladder, 0.0013 Gy for rectum, and 0.019 Gy for sigmoid. Our results showed that the predicted mean D2cc OAR doses in the bladder, rectum, sigmoid were 3.51±1.25, 3.11±1.23 and 4.02±2.23 Gy in comparison to 4.21±1.23, 4.20±1.02, 4.80±1.59 Gy in clinical plans respectively. The predicted D90 of the HRCTV was 6.72±0.99 Gy in comparison with 6.83±1.72 Gy in clinical plans. The predicted maximum dose to bladder, sigmoid, and rectum were 7.51±1.10, 3.81±1.27, 3.61±1.16 Gy in comparison to 7.33±1.03, 4.66±2.06, 4.33±1.75 Gy in clinical plans, respectively, indicating a good potential to predict useful dosimetric indices and facilitate an improvement in brachytherapy treatment workflow. The proposed model needs less than 5 seconds to predict a full 3D dose distribution of 64 × 64 × 64 voxels for any new patient plan, thus making it sufficient for near real-time applications and aid in decision-making in clinic. Conclusions The 3D U-Net model we have implemented demonstrates competitive capability in predicting accurate dose distributions and DVH indices with consistent quality. The proposed model can be used to predict 3D dose distributions for near real-
本研究的目的是利用卷积神经网络(CNN)开发一种基于体素的剂量预测系统,用于宫颈癌高剂量率(HDR)腔内近距离放疗计划,该治疗计划采用串联-卵形(T&O)或串联-环形(T&R)应用器。材料和方法采用3D U-NET CNN,基于高危临床靶体积(HRCTV)和危险器官(OAR)轮廓信息生成体素剂量预测。本研究采用了77个回顾性临床HDR近距离放射治疗方案的多机构队列,处方剂量范围为4.8-7.0 Gy/fx。这些计划被随机分为60%/20%/20%作为训练、验证和测试组。在训练和验证队列数据中实施对角线翻转、左右翻转、上下翻转、旋转90度等数据增强技术,将计划数量增加到252个。模型的训练采用均方损失函数、Adam优化算法,学习率为0.001,250次epoch, batch size为8。在测试数据集上,通过分析3D剂量分布的最大剂量值和导出的剂量-体积-直方图(DVH)指数的结果来评估模型的性能,并使用剂量统计和临床有意义的剂量学指数将生成的剂量分布与地面真实剂量分布进行比较。结果所提出的三维U-Net模型在预测三维剂量分布方面具有相当的准确性,与地面真实剂量分布非常接近。HRCTV的平均绝对误差为0.108±3.617 Gy,膀胱0.074±1.315 Gy,直肠0.093±0.981 Gy,乙状结肠0.035±2.789 Gy。HRCTV的中位绝对误差为0.126 Gy,膀胱为0.041 Gy,直肠为0.0013 Gy,乙状结肠为0.019 Gy。结果表明,膀胱、直肠、乙状结肠的D2cc OAR预测平均剂量分别为3.51±1.25、3.11±1.23和4.02±2.23 Gy,而临床计划的D2cc OAR预测平均剂量分别为4.21±1.23、4.20±1.02、4.80±1.59 Gy。HRCTV预测D90为6.72±0.99 Gy,临床计划D90为6.83±1.72 Gy。预测膀胱、乙状结肠和直肠的最大剂量分别为7.51±1.10、3.81±1.27、3.61±1.16 Gy,而临床计划的最大剂量分别为7.33±1.03、4.66±2.06、4.33±1.75 Gy,表明有很好的潜力预测有用的剂量学指标,有助于改善近距离放疗的治疗流程。该模型可在5秒内预测出64 × 64 × 64体素的全三维剂量分布,适用于近实时应用,可辅助临床决策。结论我们所建立的三维U-Net模型在准确预测剂量分布和DVH指数方面具有竞争力,且质量一致。该模型可用于预测三维剂量分布,以便在规划前进行近乎实时的决策,保证质量,并指导未来的自动化规划,以提高计划的一致性、质量和规划效率。我们的下一个目标是将该模型应用于定向调制近距离治疗(DMBT)串联应用程序。本研究的目的是利用卷积神经网络(CNN)开发一种基于体素的剂量预测系统,用于宫颈癌高剂量率(HDR)腔内近距离放疗计划,该治疗计划采用串联和卵圆(T&O)或串联和环形(T&R)应用器。三维U-NET CNN基于高危临床靶体积(HRCTV)和危险器官(OAR)轮廓信息生成体素剂量预测。本研究采用了77个回顾性临床HDR近距离放射治疗方案的多机构队列,处方剂量范围为4.8-7.0 Gy/fx。这些计划被随机分为60%/20%/20%作为训练、验证和测试组。在训练和验证队列数据中实施对角线翻转、左右翻转、上下翻转、旋转90度等数据增强技术,将计划数量增加到252个。模型的训练采用均方损失函数、Adam优化算法,学习率为0.001,250次epoch, batch size为8。在测试数据集上,通过分析3D剂量分布的最大剂量值和导出的剂量-体积-直方图(DVH)指数的结果来评估模型的性能,并使用剂量统计和临床有意义的剂量学指数将生成的剂量分布与地面真实剂量分布进行比较。所提出的三维U-Net模型在预测三维剂量分布方面具有竞争力的准确性,与地面真实剂量分布非常相似。HRCTV的平均绝对误差分别为0.108±3.617 Gy、0.074±1.315 Gy、0.093±0.981 Gy、0.035±2。 本研究的目的是利用卷积神经网络(CNN)开发一种基于体素的剂量预测系统,用于宫颈癌高剂量率(HDR)腔内近距离放疗计划,该治疗计划采用串联-卵形(T&O)或串联-环形(T&R)应用器。材料和方法采用3D U-NET CNN,基于高危临床靶体积(HRCTV)和危险器官(OAR)轮廓信息生成体素剂量预测。本研究采用了77个回顾性临床HDR近距离放射治疗方案的多机构队列,处方剂量范围为4.8-7.0 Gy/fx。这些计划被随机分为60%/20%/20%作为训练、验证和测试组。在训练和验证队列数据中实施对角线翻转、左右翻转、上下翻转、旋转90度等数据增强技术,将计划数量增加到252个。模型的训练采用均方损失函数、Adam优化算法,学习率为0.001,250次epoch, batch size为8。在测试数据集上,通过分析3D剂量分布的最大剂量值和导出的剂量-体积-直方图(DVH)指数的结果来评估模型的性能,并使用剂量统计和临床有意义的剂量学指数将生成的剂量分布与地面真实剂量分布进行比较。结果所提出的三维U-Net模型在预测三维剂量分布方面具有相当的准确性,与地面真实剂量分布非常接近。HRCTV的平均绝对误差为0.108±3.617 Gy,膀胱0.074±1.315 Gy,直肠0.093±0.981 Gy,乙状结肠0.035±2.789 Gy。HRCTV的中位绝对误差为0.126 Gy,膀胱为0.041 Gy,直肠为0.0013 Gy,乙状结肠为0.019 Gy。结果表明,膀胱、直肠、乙状结肠的D2cc OAR预测平均剂量分别为3.51±1.25、3.11±1.23和4.02±2.23 Gy,而临床计划的D2cc OAR预测平均剂量分别为4.21±1.23、4.20±1.02、4.80±1.59 Gy。HRCTV预测D90为6.72±0.99 Gy,临床计划D90为6.83±1.72 Gy。预测膀胱、乙状结肠和直肠的最大剂量分别为7.51±1.10、3.81±1.27、3.61±1.16 Gy,而临床计划的最大剂量分别为7.33±1.03、4.66±2.06、4.33±1.75 Gy,表明有很好的潜力预测有用的剂量学指标,有助于改善近距离放疗的治疗流程。该模型可在5秒内预测出64 × 64 × 64体素的全三维剂量分布,适用于近实时应用,可辅助临床决策。结论我们所建立的三维U-Net模型在准确预测剂量分布和DVH指数方面具有竞争力,且质量一致。该模型可用于预测三维剂量分布,以便在规划前进行近乎实时的决策,保证质量,并指导未来的自动化规划,以提高计划的一致性、质量和规划效率。我们的下一个目标是将该模型应用于定向调制近距离治疗(DMBT)串联应用程序。本研究的目的是利用卷积神经网络(CNN)开发一种基于体素的剂量预测系统,用于宫颈癌高剂量率(HDR)腔内近距离放疗计划,该治疗计划采用串联和卵圆(T&O)或串联和环形(T&R)应用器。三维U-NET CNN基于高危临床靶体积(HRCTV)和危险器官(OAR)轮廓信息生成体
{"title":"PO35","authors":"Suman Gautam, Alexander F. I Osman, Dylan Richerson, Binod Manandhar, Sharmin Alam, William Y. Song","doi":"10.1016/j.brachy.2023.06.136","DOIUrl":"https://doi.org/10.1016/j.brachy.2023.06.136","url":null,"abstract":"Purpose The purpose of this work is to develop a voxel-wise dose prediction system using convolutional neural network (CNN) for cervical cancer high-dose-rate (HDR) intracavitary brachytherapy treatment planning with tandem-and-ovoid (T&O) or tandem-and-ring (T&R) applicators. Materials and Methods A 3D U-NET CNN was implemented to generate voxel-wise dose predictions based on high-risk clinical target volume (HRCTV) and organs at risk (OAR) contour information. A multi-institutional cohort of 77 retrospective clinical HDR brachytherapy plans treated to a prescription dose in the range of 4.8-7.0 Gy/fx was used in this study. Those plans were randomly divided into 60%/20%/20% as training, validating, and testing cohorts. Data augmentation techniques like flip diagonally, flip left and right, flipping up and down, and rotating 90 degrees were implemented in the training and validation cohort data to increase the number of plans to 252. The model was trained using the mean-squared loss function, Adam optimization algorithm, a learning rate of 0.001, 250 epochs, and a batch size of 8. The model performance was evaluated on the testing dataset by analyzing the outcomes in terms of maximum dose values and derived dose-volume-histogram (DVH) indices from 3D dose distributions and comparing the generated dose distributions against the ground-truth dose distributions using dose statistics and clinically meaningful dosimetric indices. Results The proposed 3D U-Net model showed competitive accuracy in predicting 3D dose distributions that closely resemble the ground truth dose distributions. The average value of mean absolute error was 0.108±3.617 Gy for HRCTV, 0.074±1.315 Gy for bladder, 0.093±0.981 Gy for rectum, and 0.035±2.789 Gy for sigmoid. The median absolute error was 0.126 Gy for HRCTV, 0.041 Gy for the bladder, 0.0013 Gy for rectum, and 0.019 Gy for sigmoid. Our results showed that the predicted mean D2cc OAR doses in the bladder, rectum, sigmoid were 3.51±1.25, 3.11±1.23 and 4.02±2.23 Gy in comparison to 4.21±1.23, 4.20±1.02, 4.80±1.59 Gy in clinical plans respectively. The predicted D90 of the HRCTV was 6.72±0.99 Gy in comparison with 6.83±1.72 Gy in clinical plans. The predicted maximum dose to bladder, sigmoid, and rectum were 7.51±1.10, 3.81±1.27, 3.61±1.16 Gy in comparison to 7.33±1.03, 4.66±2.06, 4.33±1.75 Gy in clinical plans, respectively, indicating a good potential to predict useful dosimetric indices and facilitate an improvement in brachytherapy treatment workflow. The proposed model needs less than 5 seconds to predict a full 3D dose distribution of 64 × 64 × 64 voxels for any new patient plan, thus making it sufficient for near real-time applications and aid in decision-making in clinic. Conclusions The 3D U-Net model we have implemented demonstrates competitive capability in predicting accurate dose distributions and DVH indices with consistent quality. The proposed model can be used to predict 3D dose distributions for near real-","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135434533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Brachytherapy
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1