CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
结合多参数 MRI 与临床特征预测乳腺癌 TIL（肿瘤浸润淋巴细胞）的简便模型
英文原题：A simple and convenient model combining multiparametric MRI and clinical features to predict tumour-infiltrating lymphocytes in breast cancer.
查看英文原题
A simple and convenient model combining multiparametric MRI and clinical features to predict tumour-infiltrating lymphocytes in breast cancer.
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研究概要
基于多参数 MRI 和临床特征构建的 ALSE 模型可无创预测 BC 中的 TIL 水平，高 TIL 与更长的 DFS 相关，尤其是在人表皮生长因子受体 2（HER2）阳性 BC 和三阴性 BC（TNBC）中。
中文摘要
开发一种基于多参数磁共振成像（MRI）和临床特征的简单便捷方法，无创预测乳腺癌（BC）TIL（肿瘤浸润淋巴细胞）水平，并探讨TIL水平与无病生存期（DFS）的关系。
本回顾性研究纳入2017年11月至2021年6月的172例BC患者，分为TIL高水平组（≥10%）和低水平组（<10%）。收集临床病理资料，由两名放射科医师评估MRI特征。采用多变量Logistic回归确定与TIL相关的预测因素，并基于TIL水平使用Kaplan-Meier生存曲线估算DFS。
研究纳入102例TIL低水平患者和70例高水平患者。肿瘤大小（OR 1.040，95% CI 1.006–1.075；p=0.020）、表观扩散系数（ADC；OR 1.003，95% CI 1.001–1.005；p=0.015）、临床腋窝淋巴结状态（CALNS；OR 3.222，95% CI 1.372–7.568；p=0.007）及强化模式（OR 0.284，95% CI 0.143–0.563；p<0.001）均与TIL水平独立相关。研究据此构建ALSE模型，其中A代表ADC，L代表CALNS，S代表肿瘤大小，E代表强化模式。TIL水平较高与DFS较好相关（p=0.016）。
基于多参数MRI和临床特征构建的ALSE模型可无创预测BC中的TIL水平；TIL高水平与更长DFS相关，HER2阳性BC和三阴性乳腺癌（TNBC）中尤为明显。
展开英文摘要原文
A total of 172 BC patients were enrolled between November 2017 and June 2021 in this retrospective study. The patients were divided into high ( 10%) and low (<10%) TIL groups. Clinicopathological data were collected. MRI features were reviewed by two radiologists. Predictors associated with TILs were determined by using multivariable logistic regression analyses. Kaplan-Meier survival curves based on TIL levels were used to estimate DFS.
A total of 102 patients with low TILs and 70 patients with high TILs were included in the study. Tumour size (odds ratio [OR], 1.040; 95% confidence interval [CI]: 1.006, 1.075; p=0.020), apparent diffusion coefficient (ADC; OR, 1.003; 95% CI: 1.001, 1.005; p=0.015), clinical axillary lymph node status (CALNS; OR, 3.222; 95% CI: 1.372,7.568; p=0.007), and enhancement pattern (OR, 0.284; 95% CI: 0.143, 0.563; p<0.001) were independently associated with TIL levels. These features were used in the ALSE model (where A is ADC, L is CALNS, S is size, and E is enhancement pattern). High TILs were associated with better DFS (p=0.016).
The ALSE model derived from multiparametric MRI and clinical features could non-invasively predict TIL levels in BC, and high TILs were associated with longer DFS, especially in human epidermal growth factor receptor 2 (HER2)-positive BC and triple-negative BC (TNBC).
论文信息
- 作者
- Chen S、Sui Y、Ding S、Chen C、Liu C、Zhong Z、Liang Y、Kong Q
- 第一作者单位
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China.China
- 通讯作者单位
- Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China. Electronic address: eyguoyuan@scut.edu.cn.China
- 期刊
- Clinical radiology2023 Dec
- 原文标识
- PubMed 37813758 · DOI 10.1016/j.crad.2023.08.029