{"title":"动态增强MRI纵向冲洗斜率变化预测乳腺癌对新辅助化疗的反应。","authors":"Yanbo Li, Jingbo Wang, Jinxia Guo, Caifeng Yue, Tianhui Liu, Yuchen Xue, Yuxin Cai, Wenqi Wang, Junnan Li, Jiahui Wang, Hong Lu","doi":"10.1007/s00330-025-12042-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To determine whether wash-in slope (WIS) changes can predict pathologic complete response (pCR) following NAC in breast cancer.</p><p><strong>Materials and methods: </strong>This single-center retrospective study included consecutive females with breast cancer who received NAC followed by surgery between January 2016 and December 2022. All patients received dynamic contrast-enhanced MRI (DCE-MRI) pretreatment, after 2 cycles, 4 cycles, and after completion of treatment. The percentage change in tumor WIS from that before treatment (ΔWIS) was measured at each time point. Predictive performance for pCR was assessed by using the area under the receiver operating characteristic curve (AUC) for the overall cohort and across molecular subtypes.</p><p><strong>Results: </strong>A total of 162 patients were included in this study (mean age, 51.9 years ± 9.1 [SD]), and 43 (26.5%) achieved pCR. Overall, ΔWIS demonstrated comparable performance in predicting pCR after 2 cycles (AUC, 0.82; 95% CI: 0.73, 0.91), 4 cycles (AUC, 0.86; 95% CI: 0.78, 0.93), and after completion of NAC (AUC, 0.87; 95% CI: 0.8, 0.93), with no significant differences observed (all p > 0.05). Utilizing optimal threshold values of -33%, -44%, and -59% at each time point, ΔWIS yielded sensitivities ranging from 74.4% to 86.0% and specificities ranging from 75.6% to 80.7%. In molecular subtype analysis, ΔWIS after 4 cycles exhibited excellent predictive performance for pCR in triple-negative breast cancers (AUC, 0.96; 95% CI: 0.9, 1), outperforming its performance in Luminal B tumors (AUC, 0.83; 95% CI: 0.71, 0.94; p = 0.04).</p><p><strong>Conclusion: </strong>Tumor WIS changes from DCE-MRI could dynamically monitor neoadjuvant chemotherapy (NAC).</p><p><strong>Key points: </strong>Question Currently, there is no widely accepted standard imaging biomarker for predicting pCR in breast cancer patients undergoing NAC. Findings WIS changes outperformed tumor size in predicting pCR at four time points during NAC, and showed comparable predictive performance across all time points. Clinical relevance Longitudinal changes in the WIS derived from dynamic contrast-enhanced MRI enable real-time prediction of pathologic response to NAC in patients with breast cancer, supporting personalized treatment monitoring and decision-making.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Longitudinal wash-in slope changes on dynamic contrast enhancement MRI for predicting response to neoadjuvant chemotherapy in breast cancer.\",\"authors\":\"Yanbo Li, Jingbo Wang, Jinxia Guo, Caifeng Yue, Tianhui Liu, Yuchen Xue, Yuxin Cai, Wenqi Wang, Junnan Li, Jiahui Wang, Hong Lu\",\"doi\":\"10.1007/s00330-025-12042-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To determine whether wash-in slope (WIS) changes can predict pathologic complete response (pCR) following NAC in breast cancer.</p><p><strong>Materials and methods: </strong>This single-center retrospective study included consecutive females with breast cancer who received NAC followed by surgery between January 2016 and December 2022. All patients received dynamic contrast-enhanced MRI (DCE-MRI) pretreatment, after 2 cycles, 4 cycles, and after completion of treatment. The percentage change in tumor WIS from that before treatment (ΔWIS) was measured at each time point. Predictive performance for pCR was assessed by using the area under the receiver operating characteristic curve (AUC) for the overall cohort and across molecular subtypes.</p><p><strong>Results: </strong>A total of 162 patients were included in this study (mean age, 51.9 years ± 9.1 [SD]), and 43 (26.5%) achieved pCR. Overall, ΔWIS demonstrated comparable performance in predicting pCR after 2 cycles (AUC, 0.82; 95% CI: 0.73, 0.91), 4 cycles (AUC, 0.86; 95% CI: 0.78, 0.93), and after completion of NAC (AUC, 0.87; 95% CI: 0.8, 0.93), with no significant differences observed (all p > 0.05). Utilizing optimal threshold values of -33%, -44%, and -59% at each time point, ΔWIS yielded sensitivities ranging from 74.4% to 86.0% and specificities ranging from 75.6% to 80.7%. In molecular subtype analysis, ΔWIS after 4 cycles exhibited excellent predictive performance for pCR in triple-negative breast cancers (AUC, 0.96; 95% CI: 0.9, 1), outperforming its performance in Luminal B tumors (AUC, 0.83; 95% CI: 0.71, 0.94; p = 0.04).</p><p><strong>Conclusion: </strong>Tumor WIS changes from DCE-MRI could dynamically monitor neoadjuvant chemotherapy (NAC).</p><p><strong>Key points: </strong>Question Currently, there is no widely accepted standard imaging biomarker for predicting pCR in breast cancer patients undergoing NAC. Findings WIS changes outperformed tumor size in predicting pCR at four time points during NAC, and showed comparable predictive performance across all time points. Clinical relevance Longitudinal changes in the WIS derived from dynamic contrast-enhanced MRI enable real-time prediction of pathologic response to NAC in patients with breast cancer, supporting personalized treatment monitoring and decision-making.</p>\",\"PeriodicalId\":12076,\"journal\":{\"name\":\"European Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00330-025-12042-w\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00330-025-12042-w","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Longitudinal wash-in slope changes on dynamic contrast enhancement MRI for predicting response to neoadjuvant chemotherapy in breast cancer.
Objectives: To determine whether wash-in slope (WIS) changes can predict pathologic complete response (pCR) following NAC in breast cancer.
Materials and methods: This single-center retrospective study included consecutive females with breast cancer who received NAC followed by surgery between January 2016 and December 2022. All patients received dynamic contrast-enhanced MRI (DCE-MRI) pretreatment, after 2 cycles, 4 cycles, and after completion of treatment. The percentage change in tumor WIS from that before treatment (ΔWIS) was measured at each time point. Predictive performance for pCR was assessed by using the area under the receiver operating characteristic curve (AUC) for the overall cohort and across molecular subtypes.
Results: A total of 162 patients were included in this study (mean age, 51.9 years ± 9.1 [SD]), and 43 (26.5%) achieved pCR. Overall, ΔWIS demonstrated comparable performance in predicting pCR after 2 cycles (AUC, 0.82; 95% CI: 0.73, 0.91), 4 cycles (AUC, 0.86; 95% CI: 0.78, 0.93), and after completion of NAC (AUC, 0.87; 95% CI: 0.8, 0.93), with no significant differences observed (all p > 0.05). Utilizing optimal threshold values of -33%, -44%, and -59% at each time point, ΔWIS yielded sensitivities ranging from 74.4% to 86.0% and specificities ranging from 75.6% to 80.7%. In molecular subtype analysis, ΔWIS after 4 cycles exhibited excellent predictive performance for pCR in triple-negative breast cancers (AUC, 0.96; 95% CI: 0.9, 1), outperforming its performance in Luminal B tumors (AUC, 0.83; 95% CI: 0.71, 0.94; p = 0.04).
Conclusion: Tumor WIS changes from DCE-MRI could dynamically monitor neoadjuvant chemotherapy (NAC).
Key points: Question Currently, there is no widely accepted standard imaging biomarker for predicting pCR in breast cancer patients undergoing NAC. Findings WIS changes outperformed tumor size in predicting pCR at four time points during NAC, and showed comparable predictive performance across all time points. Clinical relevance Longitudinal changes in the WIS derived from dynamic contrast-enhanced MRI enable real-time prediction of pathologic response to NAC in patients with breast cancer, supporting personalized treatment monitoring and decision-making.
期刊介绍:
European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field.
This is the Journal of the European Society of Radiology, and the official journal of a number of societies.
From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.