胃癌的计算机断层扫描特征与缺陷不匹配修复:放射学-病理学相关性
Jia-Zheng Li1, Yan-Ling Li1, Xin-Ya Zhao2
1Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, No.52 Fu Cheng Road, Hai Dian District, Beijing, China.
European journal of radiology
|May 31, 2025
概括
局部晚期胃癌 (LAGC) 缺陷不匹配修复 (dMMR) 显示独特的CT扫描特征. 使用这些CT发现的模型可以帮助预测LAGC患者的dMMR状态.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 病理学 病理学 病理学
背景情况:
- 缺陷不匹配修复 (dMMR) 是胃癌的一个关键生物标志物.
- 在治疗前确定dMMR状态可以指导治疗策略.
- 计算机断层扫描 (CT) 是用于局部晚期胃癌 (LAGC) 阶段化的主要成像方法.
研究的目的:
- 为了识别与LAGC中dMMR相关的CT成像特征.
- 探索这些CT特征的病理基础.
- 开发和验证基于CT形态的模型,用于预测LAGC中的dMMR状态.
主要方法:
- 对3个机构的397名LAGC患者进行了回顾性分析.
- 免疫组织化学分析以确定不匹配修复 (MMR) 状态.
- 主要瘤和淋巴结的CT特征的识别和分析.
- 为dMMR预测开发一个多变量逻辑回归模型.
主要成果:
- dMMR瘤的厚度增加,胃下部位置,异质增强,明确的边缘,以及"标志".
- 病理相关性揭示了dMMR瘤中广泛的淋巴细胞透和固体生长.
- 较低的瘤位置,明确的边缘和标志是dMMR的独立预测因素.
- 基于形态的模型实现了0.73-0.74的AUC,用于dMMR预测.
结论:
- 具有dMMR的局部晚期胃癌表现出明显的CT成像特征.
- 一个基于CT形态学的预测模型显示了在LAGC中识别dMMR状态的前景.
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