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一种基于磁共振成像的胆囊癌患者三级淋巴结构术前预测模型。

An MRI-based model for preoperative prediction of tertiary lymphoid structures in patients with gallbladder cancer.

作者信息

Xu Ying, Li Zhuo, Zhi Weihua, Yang Yi, Ouyang Jingzhong, Zhou Yanzhao, Ma Zeliang, Wang Sicong, Xie Lizhi, Ying Jianming, Zhou Jinxue, Zhao Xinming, Ye Feng

机构信息

Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

Insights Imaging. 2025 Aug 30;16(1):189. doi: 10.1186/s13244-025-02007-4.

Abstract

OBJECTIVES

To predict tertiary lymphoid structures (TLSs) in gallbladder cancer (GBC) using preoperative magnetic resonance imaging (MRI)-based radiomics.

METHODS

Patients with GBC from two centres served as training (n = 129) and external validation (n = 44) cohorts. Radiomics features were extracted from six imaging sequences for inclusion in a radiomics model (Rad-score). Univariate and multivariate logistic regression were used to identify independent clinico-radiological predictors of TLS status. The clinical and radiomics models were integrated into a combined model. Areas under receiver operating characteristic curves (AUC) were used to assess model performance. The combined model was divided into low- and high-risk according to the cut-off value determined by the maximum Youden index of the ROC.

RESULTS

Intratumoural TLSs independently predicted RFS (p = 0.046). Eight features were included in the Rad-score. The clinical model included three independent predictors of TLS status (tumour height, liver invasion, and arterial-phase hypo-enhancement). In the training cohort, the combined model outperformed the separate clinical and radiomics models (AUC, 0.891 vs 0.870 and 0.775, respectively) and was externally valid. In both training and external cohorts, RFS in the low-risk group was substantially higher compared to the high-risk group. The low-risk group in the immunotherapy cohort had a significantly higher median overall survival than the high-risk group.

CONCLUSIONS

The MRI-based combined model developed in this study can preoperatively predict intratumoural TLS status. It accurately stratified the RFS of patients after surgery and the OS of patients with immunotherapy.

CRITICAL RELEVANCE STATEMENT

This combined model is useful for predicting response and prognosis, not only for the recurrence-free survival of patients with GBC who have undergone surgery, but also for the overall survival of patients who have received immunotherapy KEY POINTS: Intratumoural TLSs independently predict recurrence-free survival of GBC. Our MRI-based combined model is a preoperative TLS marker. The combined model accurately stratifies postoperative/post-immunotherapy recurrence-free and overall survival of GBC.

摘要

目的

利用基于术前磁共振成像(MRI)的放射组学预测胆囊癌(GBC)中的三级淋巴结构(TLSs)。

方法

来自两个中心的GBC患者作为训练队列(n = 129)和外部验证队列(n = 44)。从六个成像序列中提取放射组学特征,纳入放射组学模型(Rad评分)。采用单因素和多因素逻辑回归确定TLS状态的独立临床放射学预测因素。将临床模型和放射组学模型整合为一个联合模型。采用受试者操作特征曲线下面积(AUC)评估模型性能。根据ROC最大约登指数确定的临界值,将联合模型分为低风险和高风险。

结果

肿瘤内TLSs独立预测无复发生存期(RFS)(p = 0.046)。Rad评分包括八个特征。临床模型包括TLS状态的三个独立预测因素(肿瘤高度、肝侵犯和动脉期低增强)。在训练队列中,联合模型优于单独的临床模型和放射组学模型(AUC分别为0.891、0.870和0.775),且具有外部有效性。在训练队列和外部队列中,低风险组的RFS均显著高于高风险组。免疫治疗队列中的低风险组中位总生存期显著高于高风险组。

结论

本研究中基于MRI的联合模型可术前预测肿瘤内TLS状态。它准确地对术后患者的RFS和免疫治疗患者的总生存期进行了分层。

关键相关性声明

该联合模型不仅对接受手术的GBC患者的无复发生存期,而且对接受免疫治疗患者的总生存期,在预测反应和预后方面都很有用。要点:肿瘤内TLSs独立预测GBC的无复发生存期。我们基于MRI的联合模型是一种术前TLS标志物。联合模型准确地对GBC术后/免疫治疗后的无复发生存期和总生存期进行了分层。

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