基于mri的胆囊癌患者三级淋巴结构术前预测模型。

IF 4.5 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Ying Xu, Zhuo Li, Weihua Zhi, Yi Yang, Jingzhong Ouyang, Yanzhao Zhou, Zeliang Ma, Sicong Wang, Lizhi Xie, Jianming Ying, Jinxue Zhou, Xinming Zhao, Feng Ye
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引用次数: 0

摘要

目的:应用术前磁共振成像(MRI)放射组学技术预测胆囊癌(GBC)的三级淋巴结构(TLSs)。方法:来自两个中心的GBC患者作为训练(n = 129)和外部验证(n = 44)队列。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-score)。采用单因素和多因素logistic回归来确定TLS状态的独立临床放射学预测因子。临床和放射组学模型被整合成一个联合模型。受试者工作特征曲线下面积(AUC)用于评估模型性能。根据ROC的最大约登指数确定的临界值,将联合模型分为低、高风险两类。结果:瘤内TLSs独立预测RFS (p = 0.046)。拉德评分包括八个特征。临床模型包括TLS状态的三个独立预测因子(肿瘤高度、肝脏侵袭和动脉期低增强)。在训练队列中,联合模型优于单独的临床和放射组学模型(AUC分别为0.891 vs 0.870和0.775),并且外部有效。在训练和外部队列中,低风险组的RFS明显高于高风险组。在免疫治疗队列中,低风险组的中位总生存期明显高于高风险组。结论:本研究建立的基于mri的联合模型可以术前预测肿瘤内TLS状态。它准确地对术后患者的RFS和免疫治疗患者的OS进行了分层。关键相关性声明:该联合模型不仅可用于预测手术后GBC患者的无复发生存,而且可用于预测接受免疫治疗的GBC患者的总生存。关键点:瘤内TLSs独立预测GBC的无复发生存。我们基于mri的联合模型是术前TLS标记。联合模型准确地对GBC的术后/免疫治疗后无复发和总生存期进行分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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.

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来源期刊
Insights into Imaging
Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
7.30
自引率
4.30%
发文量
182
审稿时长
13 weeks
期刊介绍: Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.
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