Gupta Pankaj, Dutta Niharika, Singh Shravya, Pradhan Nikita, Siddiqui Ruby, Gulati Ajay, Kalra Naveen, Prakash Gaurav, Yadav Thakur, Kaman Lileswar, Irrinki Santosh, Singh Harjeet, Gupta Parikshaa, Nahar Uma, Nada Ritambhra, Khosla Divya, Kapoor Rakesh, Basher Rajender, Gupta Rajesh, Srinivasan Radhika, Sandhu Manavjit, Dutta Usha
Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Abdom Radiol (NY). 2025 Jul 3. doi: 10.1007/s00261-025-05087-4.
This study aimed to identify distinctive computed tomography (CT) features associated with human epidermal growth factor receptor 2 (HER2) status in gallbladder cancer (GBC) that could serve as noninvasive imaging biomarkers.
This study included 213 patients with pathologically confirmed GBCs with availability of HER2 status (171 HER2-negative, 42 HER2-positive). Pre-treatment contrast-enhanced CT scans were evaluated by two radiologists blinded to HER2 status. Multivariate analysis was performed using logistic regression with L2 regularization. Model discrimination was assessed using receiver operating characteristic (ROC) analysis, and internal validation was performed using bootstrap resampling (1,000 iterations) to correct for optimism.
HER2-positive tumors exhibited larger lymph nodes (1.93 ± 0.79 cm vs. 1.61 ± 0.61 cm, p = 0.015), less frequent gallstones (14.3% vs. 35.7%, p = 0.013), arterial phase hyperenhancement (20.0% vs. 44.1%, p = 0.026), mass-like morphology (35.7% vs. 55.6%, p = 0.033), and more frequent biliary compression by lymph nodes (19.0% vs. 4.1%, p = 0.002). Multivariate analysis identified biliary compression by lymph nodes as the strongest positive predictor of HER2 positivity [odds ratio (OR) 2.99, 95% CI: 1.25-7.04], while arterial phase hyperenhancement (OR 0.40, 95% CI: 0.19-0.75), gallstone presence (OR 0.40, 95% CI: 0.18-0.75), and mass-like morphology (OR 0.54, 95% CI: 0.29-0.95) were significant negative predictors. The model demonstrated good discrimination (area under the ROC curve 0.782) with sensitivity 75%, specificity 79.4%, and negative predictive value 96.2%.
HER2-positive GBCs display characteristic CT findings that can be utilized for noninvasive diagnosis with robust predictive performance.
本研究旨在确定与胆囊癌(GBC)中人表皮生长因子受体2(HER2)状态相关的独特计算机断层扫描(CT)特征,这些特征可作为非侵入性成像生物标志物。
本研究纳入213例经病理证实的GBC患者,其HER2状态可用(171例HER2阴性,42例HER2阳性)。由两名对HER2状态不知情的放射科医生对治疗前的增强CT扫描进行评估。使用L2正则化的逻辑回归进行多变量分析。使用受试者操作特征(ROC)分析评估模型辨别力,并使用自助重采样(1000次迭代)进行内部验证以校正乐观偏差。
HER2阳性肿瘤表现出更大的淋巴结(1.93±0.79 cm对1.61±0.61 cm,p = 0.015)、更少的胆结石(14.3%对35.7%,p = 0.013)、动脉期强化(20.0%对44.1%,p = 0.026)、肿块样形态(35.7%对55.6%,p = 0.033)以及更频繁的淋巴结压迫胆管(19.0%对4.1%,p = 0.002)。多变量分析确定淋巴结压迫胆管是HER2阳性最强的阳性预测因子[比值比(OR)2.99,95%置信区间:1.25 - 7.04],而动脉期强化(OR 0.40,95%置信区间:0.19 - 0.75)、胆结石存在(OR 0.40,95%置信区间:0.18 - 0.75)和肿块样形态(OR 0.54,95%置信区间:0.29 - 0.95)是显著的阴性预测因子。该模型显示出良好的辨别力(ROC曲线下面积为0.782),敏感性为75%,特异性为79.4%,阴性预测值为96.2%。
HER2阳性GBC表现出特征性CT表现,可用于具有强大预测性能的非侵入性诊断。