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纳米图集成MRI衍生的明显扩散系数和临床病理特征,用于预测乳腺癌中带淋巴结转移的发生

Huifang Chen¹, Xiaoxia Wang¹, Yao Huang^1,2

¹Department of Radiology, Chongqing University Cancer Hospital, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), No. 181 Hanyu Road, Shapingba District, Chongqing 400030, China.

Radiology. Imaging cancer

|March 21, 2025

概括

这项研究开发了使用MRI显微扩散系数 (ADC) 的诺姆图,以预测乳腺癌患者的带淋巴结转移. 这些模型在新辅助化疗前后识别淋巴结状况时显示出高准确度.

科学领域:

放射学放射学是一门学科.
在瘤学瘤学.
医疗成像医学成像

背景情况:

准确评估下淋巴结 (ALN) 状态对于乳腺癌的分期和治疗计划至关重要.
扩散权重成像 (DWI) 和明显扩散系数 (ADC) 显示出评估ALN转移的潜力.
需要预测模型来提高ALN转移评估的准确性,特别是在新辅助化疗后.

研究的目的:

开发和验证集成ADC和临床病理特征的诺姆图,用于预测乳腺癌中ALN转移.
评估预测性能的治疗前ALN状态,non-sentinel淋巴结状态,和后neoadjuvant化疗ALN状态.
建立可靠的工具,以改善乳腺癌管理中的临床决策.

主要方法:

从多个中心获得DWI的预治疗MRI扫描的回顾性采集 (2019年5月-2023年5月).
测量ADC值和临床病理特征.
使用后勤回归开发名录模型,通过对培训和外部测试数据集的AUC分析进行验证.

主要成果:

在转移性ALN与非转移性ALN相比,观察到较低的ADC值 (P < .05).
整合ADC和临床病理特征的诺摩图表显示出高预测性表现:任务1 (预治疗ALN状态) AUC范围从0.86到0.90.
诺米图表显示了任务2 (非护卫性淋巴结) 的AUC为0.74和任务3 (新辅助化疗后的ALN状态) 的AUC从0.75到0.84不等的AUC表现良好.

结论:

包含ADC和临床病理特征的诺摩图是预测乳腺癌中ALN转移的有效工具.
这些模型为治疗的各个阶段的ALN状态提供了有价值的预测能力.
这些发现支持将DWI衍生的ADC纳入临床实践,以改善乳腺癌的分期和管理.

关键词:

显而易见的扩散系数轴心淋巴结转移的转移乳房乳房乳房用MR-扩散权重成像进行成像.功能性成像MR-功能性成像新辅助化学疗法新辅助化学疗法这不是nonogram.没有关心的淋巴结转移.

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