APTWI-differential analysis for breast cancer: Association with histopathologic characteristics and early prediction of neoadjuvant chemotherapy response

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Magnetic resonance imaging Pub Date : 2026-04-01 Epub Date: 2025-12-12 DOI:10.1016/j.mri.2025.110590
Jie Fang , Xiaoxia Wang , Lu Wang , Ying Cao , Yao Huang , Shuling Liu , Huifang Chen , Zhechuan Dai , Tao Yu , Sun Tang , Meng Lin , Yi Zhang , Jiuquan Zhang
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引用次数: 0

Abstract

The purpose of the study is to investigate the value of Amide proton transfer imaging(APTWI)-differential analysis in association with histopathologic characteristics, and the performance to early predict pathologic complete response (pCR) in participants with breast cancer (BC). Participants with BC who underwent pretreatment APTWI between November 2022 and April 2024 were prospectively enrolled. APT-specific signal quantification was achieved through differential analysis between model-fitted and experimentally acquired Z-spectrum at +3.5 ppm. Univariate analysis was used to identify APT# values associated with histopathologic characteristics and pCR. The area under the receiver operating characteristic curve (AUC) analysis was performed to evaluate the diagnostic value of APTWI-DIGITAL on histopathologic characteristics and assess the predictive performance for pCR. The analysis ultimately included 123 participants with BC (mean age, 52 years±9 [SD]), 43 participants of whom received neoadjuvant chemotherapy (NAC) and 15 participants who achieved pCR. In the pre-treatment group, the APT# values showed reasonable performance in identifying the positive status of KI67 proliferation index (P = 0.01, AUC = 0.69), and PR (P = 0.045, AUC = 0.60). In the NAC group, the APT# values in the pCR participants showed a significant downward trend at the T1 (P = 0.01, AUC = 0.80), and was not significant between pCR and non-pCR at other timepoints. The findings suggest APTWI-differential analysis may be useful imaging biomarkers to characterize the immunohistochemical biomarkers and predict pCR to NAC in BC patients.
乳腺癌的aptwi差异分析:与组织病理学特征和新辅助化疗反应的早期预测的关系。
本研究的目的是探讨酰胺质子转移成像(APTWI)鉴别分析在乳腺癌(BC)患者中与组织病理特征相关的价值,以及早期预测病理完全缓解(pCR)的性能。在2022年11月至2024年4月期间接受APTWI预处理的BC患者被前瞻性纳入研究。通过模型拟合和实验获得的+3.5 ppm的z谱之间的差异分析,实现了apt特异性信号量化。采用单因素分析确定与组织病理学特征和pCR相关的APT#值。通过受试者工作特征曲线下面积(AUC)分析,评估APTWI-DIGITAL对组织病理特征的诊断价值,并评估pCR的预测性能。分析最终纳入123例BC患者(平均年龄52 岁±9 [SD]), 43例接受新辅助化疗(NAC), 15例获得pCR的患者。预处理组APT#值对KI67增殖指数(P = 0.01,AUC = 0.69)和PR (P = 0.045,AUC = 0.60)阳性状态的判断表现合理。在NAC组中,pCR参与者的APT#值在T1处呈显著下降趋势(P = 0.01,AUC = 0.80),在其他时间点pCR与非pCR之间无显著差异。研究结果表明,aptwi差异分析可能是有用的成像生物标志物,用于表征BC患者的免疫组织化学生物标志物和预测pCR到NAC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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