Suppr超能文献

接受新辅助化疗的乳腺癌患者使用超快成像进行动态对比增强MRI的动力学参数:病理完全缓解的预测及其与组织学微血管密度的相关性

The kinetic parameters of dynamic contrast-enhanced MRI with ultrafast imaging in breast cancer patients receiving neoadjuvant chemotherapy: Prediction of pathologic complete response and correlation with histologic microvessel density.

作者信息

Choi Sung-Eun, Park Ah Young, Kim Gwang Il, Jung Hae Kyoung, Ko Kyung Hee, Kim Yunju

机构信息

Department of Pathology, CHA Bundang Medical Center, CHA University, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.

Department of Radiology, CHA Bundang Medical Center, CHA University, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.

出版信息

Medicine (Baltimore). 2025 Jan 31;104(5):e40239. doi: 10.1097/MD.0000000000040239.

Abstract

Early prediction of pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer patients can help forecast prognosis and guide decisions on adjuvant therapy. This study aimed to determine whether the kinetic parameters of dynamic contrast-enhanced MRI (DCE-MRI) with ultrafast imaging can predict pCR following NAC in breast cancer patients and whether these parameters are correlated with histologic microvessel density (MVD). In this retrospective study, 61 breast cancer patients who underwent NAC and surgery between August 2020 and 2022 were analyzed. Ultrafast and conventional DCE-MRI features, along with pathologic results, were compared between the pCR and non-pCR groups. Regression analysis was conducted to identify predictive factors for pCR. Additionally, MRI kinetic parameters were correlated with histologic MVD. Of the 61 patients, 17 (27.9%) achieved pCR. The pCR group exhibited a larger delayed washout component (P = .002) and a smaller angiovolume (P = .02) compared to the non-pCR group; however, these factors lost significance when accounting for tumor size, lymph node status, and molecular subtypes. In a subgroup analysis based on molecular subtype, a low initial enhancement value (≤362.5%) and angiovolume (≤10.3 cc) predicted pCR in human epidermal growth factor receptor 2-enriched breast cancer, with an area under the curve of 0.833. The maximum slope on ultrafast MRI was higher in the high MVD group compared to the low MVD group (P = .049). Human epidermal growth factor receptor 2-enriched breast cancer with low vascularity on DCE-MRI is more likely to achieve pCR, although MRI kinetic parameters were not independent predictors of pCR in all breast cancer subtypes. The maximum slope on ultrafast MRI was the only kinetic parameter that correlated with histologic MVD. Larger studies focused on molecular subtypes are warranted.

摘要

乳腺癌患者新辅助化疗(NAC)后病理完全缓解(pCR)的早期预测有助于预测预后并指导辅助治疗决策。本研究旨在确定采用超快成像的动态对比增强磁共振成像(DCE-MRI)动力学参数能否预测乳腺癌患者NAC后的pCR,以及这些参数是否与组织学微血管密度(MVD)相关。在这项回顾性研究中,分析了2020年8月至2022年间接受NAC和手术的61例乳腺癌患者。比较了pCR组和非pCR组的超快及传统DCE-MRI特征以及病理结果。进行回归分析以确定pCR的预测因素。此外,将MRI动力学参数与组织学MVD进行相关性分析。61例患者中,17例(27.9%)达到pCR。与非pCR组相比,pCR组表现出更大的延迟洗脱成分(P = 0.002)和更小的血管容积(P = 0.02);然而,在考虑肿瘤大小、淋巴结状态和分子亚型后,这些因素失去了显著性。在基于分子亚型的亚组分析中,低初始强化值(≤362.5%)和血管容积(≤10.3 cc)可预测人表皮生长因子受体2富集型乳腺癌的pCR,曲线下面积为0.833。高MVD组超快MRI的最大斜率高于低MVD组(P = 0.049)。DCE-MRI显示血管较少的人表皮生长因子受体2富集型乳腺癌更有可能实现pCR,尽管MRI动力学参数并非所有乳腺癌亚型中pCR的独立预测因素。超快MRI的最大斜率是唯一与组织学MVD相关的动力学参数。有必要开展更多针对分子亚型的大型研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5ac/11789864/a1ecf7797697/medi-104-e40239-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验