Wu Jieying, Bae Joseph, Chen Chao, Ryu Samuel, Lozeau Daniel, Stessin Alexander, Prasanna Prateek
Departments of Radiation Oncology, Stony Brook University Hospital, Stony Brook, New York.
Departments of Biomedical Informatics, Stony Brook University Hospital, Stony Brook, New York.
Adv Radiat Oncol. 2025 Aug 17;10(11):101881. doi: 10.1016/j.adro.2025.101881. eCollection 2025 Nov.
Radiation-induced morphea (RIM) is a very rare but devastating side effect of breast radiation therapy, characterized by progressive skin induration, pain, and discoloration, with no effective treatments currently available. This is a proof-of-concept study that aims to identify radiomic features from pretreatment magnetic resonance imaging (MRI) scans associated with the development of RIM in patients with breast cancer undergoing radiation therapy.
This is a retrospective analysis of a single institutional registry of patients who received diagnosis of RIM following breast radiation therapy from 2008 to 2022. Clinical and histopathological data were reviewed. Pretreatment MRI scans of these patients and matched controls were analyzed. Radiomic features were extracted from whole breast and fibroglandular tissue regions of interest. A total of 528 radiomic features were compared between patients who developed RIM and those who did not, using the Wilcoxon rank-sum test to identify statistically significant differences.
We evaluated 10 patients who received clinical diagnosis of RIM, with a mean age of 63 years (range, 44-75 years). Among these, 7 patients had biopsy-proven RIM. Both clinical and histologic findings were correlated with radiomic analyses. Forty percent of the patients had a history of autoimmune disorders, including hypothyroidism, Graves' disease, systemic sclerosis, and systemic lupus erythematosus. Radiomic analysis identified 11 significant features, primarily related to tissue structure and texture. Nine of these features were from the contralateral breast, and 2 were from the ipsilateral breast.
This is a pilot study on a small sample that demonstrates that radiomic features extracted from pretreatment MRI scans can serve as potential predictors for the development of RIM in patients with breast cancer. The integration of clinical and histopathological data with radiomic analysis highlights the distinct changes in breast tissue architecture that precede RIM onset. These findings pave the way for the early identification of patients at risk, allowing for more personalized surveillance and management strategies.
放射性硬斑病(RIM)是乳腺癌放射治疗一种非常罕见但具有破坏性的副作用,其特征为皮肤进行性硬结、疼痛和变色,目前尚无有效治疗方法。这是一项概念验证研究,旨在从接受放射治疗的乳腺癌患者的治疗前磁共振成像(MRI)扫描中识别与RIM发生相关的放射组学特征。
这是一项对2008年至2022年接受乳腺癌放射治疗后被诊断为RIM的患者的单一机构登记册进行的回顾性分析。对临床和组织病理学数据进行了审查。分析了这些患者和匹配对照的治疗前MRI扫描。从全乳腺和纤维腺组织感兴趣区域提取放射组学特征。使用Wilcoxon秩和检验比较发生RIM的患者和未发生RIM的患者之间总共528个放射组学特征,以确定统计学上的显著差异。
我们评估了10例临床诊断为RIM的患者,平均年龄63岁(范围44 - 75岁)。其中,7例经活检证实为RIM。临床和组织学结果均与放射组学分析相关。40%的患者有自身免疫性疾病史,包括甲状腺功能减退、格雷夫斯病、系统性硬化症和系统性红斑狼疮。放射组学分析确定了11个显著特征,主要与组织结构和纹理有关。其中9个特征来自对侧乳腺,2个来自同侧乳腺。
这是一项针对小样本的初步研究,表明从治疗前MRI扫描中提取的放射组学特征可作为乳腺癌患者发生RIM的潜在预测指标。临床和组织病理学数据与放射组学分析的整合突出了RIM发病前乳腺组织结构的明显变化。这些发现为早期识别高危患者铺平了道路,从而能够制定更个性化的监测和管理策略。