← 返回

三阴性乳腺癌中 TIL(肿瘤浸润淋巴细胞)的评估:观察者间变异性和影响因素

英文原题:Assessment of Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Interobserver Variability and Contributing Factors.

查看英文原题

Assessment of Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Interobserver Variability and Contributing Factors.

PubMed 2025/09/30(内容时间) Diagnostics (Basel) Q1 · IF 3.8(JCR 2025)

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

中文摘要

吉隆坡医院Canselor Tuanku Muhriz的两名顾问病理医师依据TIL-WG指南独立评估64例TNBC。采用组内相关系数(ICC)和Cohen κ系数量化观察者间一致性。评分差异超过10%的病例交由第三位病理医师复核,并通过共识讨论探究潜在干扰因素。

间质TIL评分观察者间一致性中等(ICC=.58),瘤内TIL一致性较高(ICC=.71)。显著变异主要归因于三个干扰因素:TIL分布异质、肿瘤-间质界面界定不清,以及局灶性致密淋巴细胞浸润。

研究结果凸显制定标准化TIL评分方案的必要性,也提示经验证的AI工具未来可能有助于减轻观察者差异。

展开英文摘要原文

Background/Objectives: Tumor-infiltrating lymphocytes (TILs) are emerging as a crucial prognostic biomarker in triple-negative breast cancer (TNBC).

However, their clinical utility remains constrained by the subjectivity and interobserver variability of manual scoring, despite standardization efforts by the International TILs Working Group (TIL-WG).

This study aimed to evaluate the interobserver agreement among pathologists in scoring stromal and intratumoral TILs from H&E-stained TNBC slides and to identify contributing histological factors. Methods: Two consultant pathologists at Hospital Canselor Tuanku Muhriz, Kuala Lumpur, independently assessed 64 TNBC cases using TIL-WG guidelines. Interobserver agreement was quantified using the intraclass correlation coefficient (ICC) and Cohen's kappa coefficient. Cases with over 10% scoring discrepancies underwent review by a third pathologist, and a consensus discussion was held to explore the underlying confounders.

Results: Our results showed moderate interobserver agreement for stromal TILs (ICC = 0. 58) and strong agreement for intratumoral TILs (ICC = 0. 71). Significant variability was attributed to three main confounding variables: heterogeneous TIL distribution, poorly defined tumor-stroma interface, and focal dense lymphoid infiltrates. Conclusions: These findings highlight the need for standardized TIL scoring protocols and suggest that validated AI-based tools may help mitigate observer variability in future TIL assessments.

论文信息

作者
Baharun NB、Zailani MAH、Adam A、Xu Q、Mustangin M、Md Zin RR
单位
Department of Pathology, Faculty of Medicine, The National University of Malaysia, Kuala Lumpur 56000, Malaysia.Malaysia
期刊
Diagnostics (Basel, Switzerland)2025 Sep 30
原文标识
PubMed 41095711 · DOI 10.3390/diagnostics15192492