Research progress on classification methods of tumor shrinkage patterns following neoadjuvant therapy in breast cancer

VernacularTitle:乳腺癌新辅助治疗后肿瘤退缩模式分类的研究进展
Author: Dong AIPING ¹ ; Wang HAI ; Han BAOSAN
Author Information

1. 上海理工大学健康科学与工程学院上海市200093;上海理工大学乳腺肿瘤智能诊断与治疗研究中心
Publication Type:Journal Article
Keywords: breast cancer; neoadjuvant therapy (NAT); tumor shrinkage pattern (TSP); breast-conserving surgery
From: Chinese Journal of Clinical Oncology 2024;51(22):1180-1184
CountryChina
Language:Chinese
Abstract: Neoadjuvant therapy (NAT) plays a critical role in the comprehensive treatment of breast cancer,with tumor size changes serving as a primary indicator for evaluating response to treatments. Tumor shrinkage pattern (TSP) following neoadjuvant chemotherapy is a valu-able supplement to traditional response assessment,providing insights into the morphology,distribution,and degree of enhancement of breast tumors after NAT. Recently,TSP has gained significant attention for its potential in guiding breast-conserving surgery decision,evalu-ating prognosis,and predicting complete pathological response. However,TSP evaluation typically relies on clinicians' experience,and no standardized criteria currently exist. Emerging imaging technologies are being applied to improve TSP prediction and comparison. This re-view summarizes recent advancements in NAT pathology,TSP classification methods,evaluation technologies and their clinical applications.