Estimating the Dose-Response Relationship for Ocular Pain after Radiotherapy of Head and Neck Cancers and Skull Base Tumors based on the LKB Radiobiological Model.

Nastaran Momeni, Mohammad Ali Broomand, Zahra Roozmand, Nima Hamzian
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Abstract

Background: Radiotherapy is considered a compromise between the amount of killed tumor cells and the damage caused to the healthy tissue. Regarding this, radiobiological modeling is performed to individualize and optimize treatment strategies.

Objective: This study aimed to determine the normal tissue complication probability (NTCP) of acute ocular pain following radiotherapy.

Material and methods: In this prospective observational study, the clinical data were collected from 45 patients with head and neck cancers and skull-base tumors, and dosimetric data were recorded after contouring the eye globe. Acute ocular pain was prospectively assessed with a three-month follow-up. The Lyman-Kutcher-Berman (LKB) parameters were estimated using the Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) maximization and Maximum Likelihood (MLH) methods, and the NTCP of acute ocular pain was then determined using generalized LKB radiobiological model. The model performance was evaluated with AUC, Brier score, and Hosmer-Lemeshow tests.

Results: Six out of 45 (13.33%) patients developed acute ocular pain (grade 1 or more). LKB model showed a weak dose-volume effect (n=0.09), tolerance dose for a 50% complication (TD50) of 27.54 Gy, and slope parameter (m) of 0.38. The LKB model showed high prediction performance. The LKB model predicted that NTCP would be less than 25% if the generalized equivalent uniform dose (gEUD) was kept below 20 Gy.

Conclusion: The LKB model showed a high performance in determining the NTCP of ocular pain so that the probability of ocular pain will be less than 25% if the eye globe mean dose is kept below 12 Gy.

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基于LKB放射生物学模型估算头颈癌和颅底肿瘤放射治疗后眼部疼痛的剂量-反应关系。
背景:放射治疗被认为是在杀死的肿瘤细胞数量和对健康组织造成的损害之间的折衷。对此,进行放射生物学建模以个性化和优化治疗策略。目的:本研究旨在确定放射治疗后急性眼痛的正常组织并发症概率(NTCP)。材料和方法:在这项前瞻性观察性研究中,收集了45名头颈癌和颅底肿瘤患者的临床数据,并在绘制眼球轮廓后记录了剂量测量数据。对急性眼痛进行了前瞻性评估,并进行了为期三个月的随访。使用受试者工作特征(ROC)最大化和最大似然(MLH)方法的曲线下面积(AUC)估计莱曼-库彻-伯曼(LKB)参数,然后使用广义LKB放射生物学模型确定急性眼痛的NTCP。模型性能通过AUC、Brier评分和Hosmer-Lemeshow检验进行评估。结果:45名患者中有6名(13.33%)出现急性眼痛(1级或以上)。LKB模型显示出弱剂量-体积效应(n=0.09),50%并发症的耐受剂量(TD50)为27.54Gy,斜率参数(m)为0.38。LKB模型具有较高的预测性能。LKB模型预测,如果广义等效均匀剂量(gEUD)保持在20Gy以下,NTCP将小于25%。
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来源期刊
Journal of Biomedical Physics and Engineering
Journal of Biomedical Physics and Engineering Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.90
自引率
0.00%
发文量
64
审稿时长
10 weeks
期刊介绍: The Journal of Biomedical Physics and Engineering (JBPE) is a bimonthly peer-reviewed English-language journal that publishes high-quality basic sciences and clinical research (experimental or theoretical) broadly concerned with the relationship of physics to medicine and engineering.
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