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在新辅助化疗后的cN2-3乳腺癌中预测腹病理完整反应的诺莫图

Jeong Hun Oh¹, Soyeon Ahn², Mijung Jang³

¹Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.

NPJ breast cancer

|November 24, 2025

概括

使用成像和瘤数据,可以预测晚期乳腺癌的腹病理完整反应 (pCR). 整合这些因素可以提高针对量身定制的治疗策略的预测精度.

科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
病理学病理学病理学

背景情况:

临床N2-3乳腺癌需要有效的新辅助化疗 (NAC).
预测关病理完整反应 (pCR) 对于治疗规划至关重要.
当前的预测方法可能无法完全整合多样化的患者数据.

研究的目的:

开发和验证一种模型,用于预测临床N2-3乳腺癌患者的腹pCR.
为了确定尾pCR后NAC的关键成像,临床和病理预测因素.
评估分子亚型在预测轴心pCR中的附加值.

主要方法:

在2016-2020年期间治疗的276名临床N2-3乳腺癌患者的回顾性分析.
评估磁共振成像 (MRI) 和超声波 (US) 度量 (损伤大小,减少比率,淋巴结特征).
多变量后勤回归分析包括成像,临床,病理因素和分子亚型.

主要成果:

在49.3%的患者中实现了腹pCR.
在NAC后的MRI损伤/淋巴结大小和美国淋巴结皮质厚度是显著的预测因素.
在NAC前的瘤特异性因素也与轴心pCR相关.
一个整合成像,瘤特征和分子亚型的模型 (模型3) 显示了最高的预测性能 (AUC:0.9).

结论:

在cN2-3乳腺癌患者中,可以精确预测侧pCR.
分子亚型特异性成像和瘤特征的整合提高了预测准确度.
这种方法支持基于预测治疗反应的个性化手术策略.

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