Journal of Medical Radiation Sciences最新文献

英文中文

ePortfolios: Enhancing confidence in student radiographers' communication of radiographic anatomy and pathology. A cross-sectional study 电子作品集：增强放射技师学生对放射解剖学和病理学交流的信心。一项横断面研究。

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-05-07 DOI: 10.1002/jmrs.787

Magdalena Dolic BRadMedImag (Hons), Yaxuan Peng BRadMedImag (Hons), Keshav Dhingra BRadMedImag (Hons), Kristal Lee BRadMedImag (Hons), John McInerney HDipHPE. GCHPE, PGCertIV Leadership and Management, PGCert CT Imaging, PGDip IV cannulation, BSc(Rad) Hons

Introduction

In 2020, the Medical Radiation Practice Board of Australia made several revisions to its professional capabilities. To address this, medical radiation practitioners, including diagnostic radiographers, are required to escalate urgent findings in all radiographic settings. However, the confidence of radiographers in articulating descriptions of radiographic findings varies despite this requirement. This cross-sectional study explores how the implementation of eportfolio affects student self-perceived confidence in identifying and describing radiographic findings in both an academic and a clinical setting.

Methods

A Qualtrics survey was distributed to second-year radiography students who had used eportfolios. The survey comprised of four questions using a Likert-scale and one open-ended question. Quantitative data were analysed using the Wilcoxon signed-rank test and qualitative data was thematically assessed.

Results

Overall, 55 of 65 radiographic students (85%) completed the survey. Confidence (strongly agree and agree) decreased from 89% to 74% between academic and clinical environments when identifying abnormalities, and 89% to 73% when describing findings. This finding highlights the challenges students face when in the clinical environment. Wilcoxon signed rank test analysed a statistically significant relation between the two environments (P < 0.05). However, the relationship between identifying and describing skills was not statistically significant (P > 0.05). Following a review of the qualitative data, three recurring themes were identified among responses.

Conclusion

ePortfolios assist in improving confidence in identification and description of radiographic abnormalities, particularly in an academic setting. The clinical environment presents unique challenges which may limit student clinical performance; however, this requires further investigation.

导言：2020 年，澳大利亚医疗放射执业委员会对其专业能力进行了多项修订。为此，包括放射诊断技师在内的医疗放射从业人员必须上报所有放射环境中的紧急发现。然而，尽管有这一要求，放射技师在描述放射检查结果时的信心却各不相同。本横断面研究探讨了电子档案的实施如何影响学生在学术和临床环境中识别和描述放射检查结果的自我认知信心：向使用过电子作品集的二年级放射学学生发放了一份Qualtrics调查问卷。调查包括四个李克特量表问题和一个开放式问题。定量数据采用 Wilcoxon 符号秩检验进行分析，定性数据采用主题评估：总体而言，65 名放射专业学生中有 55 人（85%）完成了调查。在学术和临床环境中，识别异常时的信心（非常同意和同意）从89%降至74%，描述发现时的信心从89%降至73%。这一发现凸显了学生在临床环境中面临的挑战。Wilcoxon 符号秩检验分析了两种环境之间的统计学关系（P 0.05）。结论：电子作品集有助于提高学生识别和描述放射学异常的信心，尤其是在学术环境中。临床环境带来了独特的挑战，可能会限制学生的临床表现；不过，这还需要进一步研究。

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引用次数: 0

Improved deep learning for automatic localisation and segmentation of rectal cancer on T2-weighted MRI 改进深度学习，在 T2 加权磁共振成像上自动定位和分割直肠癌。

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-24 DOI: 10.1002/jmrs.794

Zaixian Zhang PhD, Junqi Han MS, Weina Ji MS, Henan Lou MS, Zhiming Li PhD, Yabin Hu PhD, Mingjia Wang PhD, Baozhu Qi MS, Shunli Liu PhD

Introduction

The automatic segmentation approaches of rectal cancer from magnetic resonance imaging (MRI) are very valuable to relieve physicians from heavy workloads and enhance working efficiency. This study aimed to compare the segmentation accuracy of a proposed model with the other three models and the inter-observer consistency.

Methods

A total of 65 patients with rectal cancer who underwent MRI examination were enrolled in our cohort and were randomly divided into a training cohort (n = 45) and a validation cohort (n = 20). Two experienced radiologists independently segmented rectal cancer lesions. A novel segmentation model (AttSEResUNet) was trained on T2WI based on ResUNet and attention mechanisms. The segmentation performance of the AttSEResUNet, U-Net, ResUNet and U-Net with Attention Gate (AttUNet) was compared, using Dice similarity coefficient (DSC), Hausdorff distance (HD), mean distance to agreement (MDA) and Jaccard index. The segmentation variability of automatic segmentation models and inter-observer was also evaluated.

Results

The AttSEResUNet with post-processing showed perfect lesion recognition rate (100%) and false recognition rate (0), and its evaluation metrics outperformed other three models for two independent readers (observer 1: DSC = 0.839 ± 0.112, HD = 9.55 ± 6.68, MDA = 0.556 ± 0.722, Jaccard index = 0.736 ± 0.150; observer 2: DSC = 0.856 ± 0.099, HD = 11.0 ± 10.1, MDA = 0.789 ± 1.07, Jaccard index = 0.673 ± 0.130). The segmentation performance of AttSEResUNet was comparable and similar to manual variability (DSC = 0.857 ± 0.115, HD = 10.0 ± 10.0, MDA = 0.704 ± 1.17, Jaccard index = 0.666 ± 0.139).

Conclusion

Comparing with other three models, the proposed AttSEResUNet model was demonstrated as a more accurate model for contouring the rectal tumours in axial T2WI images, whose variability was similar to that of inter-observer.

简介从磁共振成像（MRI）中自动分割直肠癌的方法对于减轻医生的繁重工作量和提高工作效率非常有价值。本研究旨在比较一个拟议模型与其他三个模型的分割准确性以及观察者之间的一致性。方法本研究共纳入 65 名接受磁共振成像检查的直肠癌患者，并将其随机分为训练组（45 人）和验证组（20 人）。两名经验丰富的放射科医生独立对直肠癌病灶进行分割。基于 ResUNet 和注意力机制，在 T2WI 上训练了一个新的分割模型（AttSEResUNet）。使用 Dice 相似性系数 (DSC)、Hausdorff 距离 (HD)、平均一致距离 (MDA) 和 Jaccard 指数比较了 AttSEResUNet、U-Net、ResUNet 和带有注意门的 U-Net (AttUNet) 的分割性能。结果经过后处理的 AttSEResUNet 显示了完美的病变识别率（100%）和错误识别率（0），其评价指标优于其他三种模型，两位独立读者（观察者 1：DSC = 0.839 ± 0.112，HD = 9.55 ± 6.68，MDA = 0.556 ± 0.722，Jaccard 指数 = 0.736 ± 0.150；观察者 2：DSC = 0.856 ± 0.099，HD = 11.0 ± 10.1，MDA = 0.789 ± 1.07，Jaccard 指数 = 0.673 ± 0.130）。结论与其他三种模型相比，AttSEResUNet 模型在轴向 T2WI 图像的直肠肿瘤轮廓划分方面更为准确，其变异性与观察者之间的变异性相似。

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引用次数: 0

The importance of quality management systems in nuclear medicine departments 核医学部门质量管理系统的重要性。

IF 2.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-20 DOI: 10.1002/jmrs.793

Kunthi Pathmaraj MSc (Radiation Physics), BSc Applied Science (Medical Radiations), Grad Dip Computer Science

Quality management systems (QMS) in nuclear medicine is an essential component of the Quality program and is instrumental in the safe delivery of a high standard clinical service. The IAEA QUANUM program is a nuclear medicine specific audit program that can be used to assess the standards of a nuclear medicine department and its service delivery. Regular internal and external audits are encouraged as part of the QMS.

核医学质量管理体系（QMS）是质量计划的重要组成部分，对于安全提供高标准的临床服务至关重要。IAEA QUANUM 计划是一项专门针对核医学的审核计划，可用于评估核医学科的标准及其服务提供情况。作为质量管理系统的一部分，我们鼓励定期进行内部和外部审核。

引用次数: 0

Cut-off value for a normal posterior tibial nerve to diagnose tarsal tunnel syndrome amongst people of different race in Pretoria, South Africa 南非比勒陀利亚不同种族人群中诊断跗骨隧道综合征的胫后神经正常临界值。

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-20 DOI: 10.1002/jmrs.792

Natasha Roos B Tech (Radiography), Tintswalo Brenda Mahlaola M Tech (Radiography), Lynne Hazell PhD (Health Sciences)

Introduction

Posterior tibial nerve (PTN) cross-sectional area (CSA) reference values for the diagnosis of tarsal tunnel syndrome (TTS) using ultrasound imaging exist in several countries but not in South Africa (SA). Therefore, the objective was to measure the CSA reference values for PTN in SA.

Methods

Ultrasound CSA measurements of PTN in both ankles on 112 participants were performed, the mean measurement was recorded, and the effect of race, age, gender, and body mass index (BMI) were recorded.

Results

In this study, the primary variables age and BMI affect the CSA measurement of the PTN. A positive correlation was found between PTN asymptomatic size and age (r = 0.196, P < 0.05), size and BMI (r = 0.200, P < 0.05). Age (categories) had a mean value of 3.17 for the age group 36–45 years (95% confidence interval (CI) 2.9–3.4). The mean BMI was 30.0 kg/m² (CI 28.57–31.08). As for the asymptomatic PTN, a mean CSA reference value of 0.10 cm² was obtained.

Conclusion

With increase in age and BMI, a greater PTN measurement will occur. Race appears to be a contributing factor, but further research is needed in this regard. The reference CSA value for normal PTN should be set at 0.10 cm² for all racial groups for a basic musculoskeletal ultrasound exam protocol in South Africa.

简介一些国家有利用超声成像诊断跗骨隧道综合症（TTS）的胫骨后神经（PTN）横截面积（CSA）参考值，但南非（SA）没有。方法对 112 名参与者的双脚踝 PTN 进行超声 CSA 测量，记录平均测量值，并记录种族、年龄、性别和体重指数 (BMI) 的影响。PTN 无症状大小与年龄（r = 0.196，P < 0.05）、大小与体重指数（r = 0.200，P < 0.05）之间呈正相关。36-45 岁年龄组的年龄（类别）平均值为 3.17（95% 置信区间（CI）为 2.9-3.4）。体重指数的平均值为 30.0 kg/m2 (CI 28.57-31.08)。无症状 PTN 的平均 CSA 参考值为 0.10 平方厘米。种族似乎是一个影响因素，但在这方面还需要进一步研究。南非的基本肌肉骨骼超声检查方案应将所有种族群体正常 PTN 的 CSA 参考值定为 0.10 平方厘米。

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引用次数: 0

Artificial Intelligence and the future of radiotherapy planning: The Australian radiation therapists prepare to be ready 人工智能与放射治疗规划的未来：澳大利亚放射治疗师做好准备。

IF 2.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-20 DOI: 10.1002/jmrs.791

Vanessa Panettieri PhD, Giovanna Gagliardi PhD

The use of artificial intelligence (AI) solutions is rapidly changing the way radiation therapy tasks, traditionally relying on human skills, are approached by enabling fast automation. This evolution represents a paradigm shift in all aspects of the profession, particularly for treatment planning applications, opening up opportunities but also causing concerns for the future of the multidisciplinary team. In Australia, radiation therapists (RTs), largely responsible for both treatment planning and delivery, are discussing the impact of the introduction of AI and the potential developments in the future of their role. As medical physicists, who are part of the multidisciplinary team, in this editorial we reflect on the considerations of RTs, and on the implications of this transition to AI.

人工智能（AI）解决方案的使用正在迅速改变传统上依赖人类技能的放射治疗任务的方式，实现快速自动化。这种演变代表着该行业各个方面的范式转变，尤其是在治疗计划应用方面，既带来了机遇，也引发了对多学科团队未来的担忧。在澳大利亚，主要负责治疗规划和实施的放射治疗师（RTs）正在讨论引入人工智能的影响以及他们未来角色的潜在发展。作为多学科团队中的医学物理学家，我们在这篇社论中反思了放射治疗师的考虑因素，以及向人工智能过渡的影响。

引用次数: 0

Eliciting the views of left breast cancer patients' receiving deep inspiration breath hold radiation therapy to inform the design of multimedia education and improve patient-centred care for prospective patients 征求接受深吸气屏息放射治疗的左侧乳腺癌患者的意见，为多媒体教育的设计提供参考，并改善未来患者的以患者为中心的护理。

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-16 DOI: 10.1002/jmrs.790

Kathleene Dower BApSc (MRS), MHSM, Georgia K.B. Halkett PhD, FASMIRT, BMedRad(Hons), GAICD, Haryana Dhillon BSc MA (Psych), PhD, Diana Naehrig Dr.Med., FMH RadOnc, MSc CoachPsych, PhD, Moira O'Connor BA (Hons), MSc, PhD

Introduction

The currently accepted best practice radiation treatment for left breast cancer patients is Deep Inspiration Breath Hold (DIBH) where patients hold a deep breath to reduce late cardiac and pulmonary effects from treatment. DIBH can be challenging and induce or exacerbate anxiety in patients due to the perceived pressure to reduce radiation treatment side effects. This study explored the experiences of patients treated with Deep Inspiration Breath Hold Radiation Therapy (DIBH-RT) to improve patient-centred care and inform the design of multimedia educational tools for future patients undergoing DIBH.

Methods

This descriptive qualitative study was underpinned by a social constructivist approach to create new educational and patient care approaches based on previous patients' experiences. Semi-structured interviews were conducted with patients who had completed DIBH-RT for breast cancer. Data was analysed with reflexive thematical analysis.

Results

Twenty-two patients were interviewed with five key themes identified: (1) informational needs, (2) care needs, (3) autonomy, (4) DIBH performance influencers and (5) other centredness. Recommendations were derived from these themes to improve future treatments of DIBH patients. These recommendations revolved around improvements to education, patient-centred care and strategies to improve self-efficacy with breath holding.

Conclusion

Patients offer a wealth of knowledge regarding their lived experiences with treatment which can enhance future patients' experiences if incorporated into their education and care. Eliciting patients' views of their DIBH-RT treatment highlighted the need to improve patient self-efficacy with DIBH through familiarity with their planned treatment from new multimedia education, and foster patient care to enhance their experience.

引言目前公认的左侧乳腺癌患者最佳放射治疗方法是深吸气屏气（DIBH），即患者屏住深呼吸，以减少治疗后期对心脏和肺部的影响。深吸气憋气可能具有挑战性，由于患者感受到减少放疗副作用的压力，因此会诱发或加剧患者的焦虑。本研究探讨了接受深吸气憋气放射治疗（DIBH-RT）的患者的经历，以改善以患者为中心的护理，并为今后接受深吸气憋气放射治疗的患者设计多媒体教育工具提供信息。方法这项描述性定性研究以社会建构主义方法为基础，根据以往患者的经历创造新的教育和患者护理方法。研究人员对已完成 DIBH-RT 的乳腺癌患者进行了半结构化访谈。结果22名患者接受了访谈，确定了五个关键主题：(1) 信息需求、(2) 护理需求、(3) 自主性、(4) DIBH 效果影响因素和 (5) 其他中心性。根据这些主题提出了一些建议，以改善未来对 DIBH 患者的治疗。这些建议主要围绕改进教育、以患者为中心的护理以及提高屏气自我效能的策略。通过了解患者对DIBH-RT治疗的看法，我们发现有必要通过新的多媒体教育来提高患者对DIBH治疗的自我效能感，并加强患者护理以改善他们的体验。

{"title":"Eliciting the views of left breast cancer patients' receiving deep inspiration breath hold radiation therapy to inform the design of multimedia education and improve patient-centred care for prospective patients","authors":"Kathleene Dower BApSc (MRS), MHSM, Georgia K.B. Halkett PhD, FASMIRT, BMedRad(Hons), GAICD, Haryana Dhillon BSc MA (Psych), PhD, Diana Naehrig Dr.Med., FMH RadOnc, MSc CoachPsych, PhD, Moira O'Connor BA (Hons), MSc, PhD","doi":"10.1002/jmrs.790","DOIUrl":"10.1002/jmrs.790","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The currently accepted best practice radiation treatment for left breast cancer patients is Deep Inspiration Breath Hold (DIBH) where patients hold a deep breath to reduce late cardiac and pulmonary effects from treatment. DIBH can be challenging and induce or exacerbate anxiety in patients due to the perceived pressure to reduce radiation treatment side effects. This study explored the experiences of patients treated with Deep Inspiration Breath Hold Radiation Therapy (DIBH-RT) to improve patient-centred care and inform the design of multimedia educational tools for future patients undergoing DIBH.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This descriptive qualitative study was underpinned by a social constructivist approach to create new educational and patient care approaches based on previous patients' experiences. Semi-structured interviews were conducted with patients who had completed DIBH-RT for breast cancer. Data was analysed with reflexive thematical analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Twenty-two patients were interviewed with five key themes identified: (1) informational needs, (2) care needs, (3) autonomy, (4) DIBH performance influencers and (5) other centredness. Recommendations were derived from these themes to improve future treatments of DIBH patients. These recommendations revolved around improvements to education, patient-centred care and strategies to improve self-efficacy with breath holding.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Patients offer a wealth of knowledge regarding their lived experiences with treatment which can enhance future patients' experiences if incorporated into their education and care. Eliciting patients' views of their DIBH-RT treatment highlighted the need to improve patient self-efficacy with DIBH through familiarity with their planned treatment from new multimedia education, and foster patient care to enhance their experience.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"71 3","pages":"384-395"},"PeriodicalIF":1.8,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.790","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sponsor Acknowledgement 赞助商致谢

IF 2.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-07 DOI: 10.1002/jmrs.765

引用次数: 0

Poster Abstracts 海报摘要

IF 2.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-07 DOI: 10.1002/jmrs.767

引用次数: 0

Oral Abstracts 口头摘要

IF 2.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-07 DOI: 10.1002/jmrs.766

引用次数: 0

Breast percent density changes in digital mammography pre- and post-radiotherapy 放疗前后数字乳腺 X 射线照相术的乳腺百分比密度变化。

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Medical Radiation Sciences

Pub Date : 2024-04-03 DOI: 10.1002/jmrs.788

Sana Mohammadi MD, Sadegh Ghaderi PhD, Mahdi Mohammadi PhD, Hamid Ghaznavi MSc, Kamal Mohammadian MD

Introduction

Breast cancer (BC), the most frequently diagnosed malignancy among women worldwide, presents a public health challenge and affects mortality rates. Breast-conserving therapy (BCT) is a common treatment, but the risk from residual disease necessitates radiotherapy. Digital mammography monitors treatment response by identifying post-operative and radiotherapy tissue alterations, but accurate assessment of mammographic density remains a challenge. This study used OpenBreast to measure percent density (PD), offering insights into changes in mammographic density before and after BCT with radiation therapy.

Methods

This retrospective analysis included 92 female patients with BC who underwent BCT, chemotherapy, and radiotherapy, excluding those who received hormonal therapy or bilateral BCT. Percent/percentage density measurements were extracted using OpenBreast, an automated software that applies computational techniques to density analyses. Data were analysed at baseline, 3 months, and 15 months post-treatment using standardised mean difference (SMD) with Cohen's d, chi-square, and paired sample t-tests. The predictive power of PD changes for BC was measured based on the receiver operating characteristic (ROC) curve analysis.

Results

The mean age was 53.2 years. There were no significant differences in PD between the periods. Standardised mean difference analysis revealed no significant changes in the SMD for PD before treatment compared with 3- and 15-months post-treatment. Although PD increased numerically after radiotherapy, ROC analysis revealed optimal sensitivity at 15 months post-treatment for detecting changes in breast density.

Conclusions

This study utilised an automated breast density segmentation tool to assess the changes in mammographic density before and after BC treatment. No significant differences in the density were observed during the short-term follow-up period. However, the results suggest that quantitative density assessment could be valuable for long-term monitoring of treatment effects. The study underscores the necessity for larger and longitudinal studies to accurately measure and validate the effectiveness of quantitative methods in clinical BC management.

简介：乳腺癌（BC）是全球妇女中最常确诊的恶性肿瘤，对公共卫生构成挑战，并影响死亡率。保乳疗法（BCT）是一种常见的治疗方法，但由于残留疾病的风险，必须进行放射治疗。数字乳腺 X 射线摄影通过识别术后和放疗后的组织变化来监测治疗反应，但准确评估乳腺 X 射线密度仍是一项挑战。本研究使用 OpenBreast 测量百分比密度 (PD)，以深入了解接受 BCT 和放疗前后乳腺组织密度的变化。使用OpenBreast提取百分比/百分率密度测量值，OpenBreast是一款应用计算技术进行密度分析的自动化软件。使用标准化均值差异（SMD）、Cohen's d、卡方检验和配对样本 t 检验对基线、治疗后 3 个月和 15 个月的数据进行分析。根据接收器操作特征曲线（ROC）分析，测量了PD变化对BC的预测能力。不同时期的 PD 无明显差异。标准化均值差异分析显示，治疗前与治疗后 3 个月和 15 个月相比，PD 的 SMD 无明显变化。尽管放疗后PD在数值上有所增加，但ROC分析显示，治疗后15个月时检测乳腺密度变化的灵敏度最佳。在短期随访期间，未观察到密度有明显差异。不过，结果表明，定量密度评估对长期监测治疗效果很有价值。这项研究强调，有必要进行更大规模的纵向研究，以精确测量和验证定量方法在临床乳腺癌管理中的有效性。

{"title":"Breast percent density changes in digital mammography pre- and post-radiotherapy","authors":"Sana Mohammadi MD, Sadegh Ghaderi PhD, Mahdi Mohammadi PhD, Hamid Ghaznavi MSc, Kamal Mohammadian MD","doi":"10.1002/jmrs.788","DOIUrl":"10.1002/jmrs.788","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Breast cancer (BC), the most frequently diagnosed malignancy among women worldwide, presents a public health challenge and affects mortality rates. Breast-conserving therapy (BCT) is a common treatment, but the risk from residual disease necessitates radiotherapy. Digital mammography monitors treatment response by identifying post-operative and radiotherapy tissue alterations, but accurate assessment of mammographic density remains a challenge. This study used OpenBreast to measure percent density (PD), offering insights into changes in mammographic density before and after BCT with radiation therapy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective analysis included 92 female patients with BC who underwent BCT, chemotherapy, and radiotherapy, excluding those who received hormonal therapy or bilateral BCT. Percent/percentage density measurements were extracted using OpenBreast, an automated software that applies computational techniques to density analyses. Data were analysed at baseline, 3 months, and 15 months post-treatment using standardised mean difference (SMD) with Cohen's <i>d</i>, chi-square, and paired sample <i>t</i>-tests. The predictive power of PD changes for BC was measured based on the receiver operating characteristic (ROC) curve analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The mean age was 53.2 years. There were no significant differences in PD between the periods. Standardised mean difference analysis revealed no significant changes in the SMD for PD before treatment compared with 3- and 15-months post-treatment. Although PD increased numerically after radiotherapy, ROC analysis revealed optimal sensitivity at 15 months post-treatment for detecting changes in breast density.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study utilised an automated breast density segmentation tool to assess the changes in mammographic density before and after BC treatment. No significant differences in the density were observed during the short-term follow-up period. However, the results suggest that quantitative density assessment could be valuable for long-term monitoring of treatment effects. The study underscores the necessity for larger and longitudinal studies to accurately measure and validate the effectiveness of quantitative methods in clinical BC management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"71 3","pages":"375-383"},"PeriodicalIF":1.8,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.788","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140747585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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