Evaluation of prognostic risk factors of triple-negative breast cancer with 18F-FDG PET/CT parameters, clinical pathological features and biochemical indicators

作者：Lei Zhu, Xin Yang, Jiying Zhang, Shuling Wang, Yulong Wang, Xing Wan, Xiang Zhu, Xiuyu Song, Zhongsheng Tong, Meng Yang, Weipeng Zhao · 发表于：Frontiers in Cell and Developmental Biology · 年份：2024 · DOI：10.3389/fcell.2024.1421981 · 被引用次数：4 · 研究领域：Medical Imaging Techniques and Applications、Breast Cancer Treatment Studies、Radiomics and Machine Learning in Medical Imaging

Introduction Breast cancer is a heterogeneous disease comprising various molecular subtypes, including Luminal A, Luminal B, human epidermal growth factor receptor-2 (HER2) positive, and triple negative types, each with distinct biological characteristics and behaviors. Triple negative breast cancer (TNBC) remains a particularly challenging subtype worldwide. Our study aims to evaluate whether Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography ( 18 F-FDG PET/CT) parameters, clinical pathological features, and biochemical indicators serve as prognostic risk factors for TNBC. Additionally, we explore correlations between biochemical indicators and 18 F-FDG PET/CT parameters. Methods We conducted a retrospective analysis of 95 TNBC patients who underwent preoperative 18 F-FDG PET/CT examinations at Tianjin Medical University Cancer Institute and Hospital from 2013 to 2018. Collected data included 18 F-FDG PET/CT parameters, clinical and pathological features, and biochemical indicators. We used Kaplan-Meier survival analysis and multivariate Cox regression analysis to evaluate associations between 18 F-FDG PET/CT parameters/biochemical indicators and disease free survival (DFS)/overall survival (OS). The log-rank test determined significant differences in survival curves, and the Spearman correlation coefficient analyzed correlations between quantitative variables. Visualization and analysis were performed using R packages. Results Among 95 TNBC patients, mean s...