IF 2.5 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Yun-Hui Zhou, Xiao-Li Chen, Xin Zhang, Hong Pu, Hang Li
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引用次数: 0

摘要

目的确定双相对比增强CT成像得出的瘤内和瘤周放射组学是否能预测胃癌淋巴结转移(LNM):回顾性收集2017年1月至2022年1月的胃癌患者,以7:3的比例随机分为训练队列(n=287)和测试队列(n=121),分析临床特征和传统放射学特征,构建临床模型。提取并筛选基于肿瘤瘤内区(ITV)和瘤周容积区(PTV)的放射组学特征,构建放射组学模型。通过最具预测性的放射组学特征和临床独立预测因子构建了临床-放射组学联合模型。通过Kaplan-Meier分析评估了最佳模型预测的LNM与2年无病生存期(DFS)之间的相关性:结果:CT-LNM和CT-T分期是LNM的独立预测因子。与其他放射组学模型相比,心房和静脉期 ITV + PTV(ITV + PTV-AP + VP)放射组学模型在训练队列和验证队列中的 AUC 分别为 0.679 和 0.670,处于中等水平。在这些模型中,临床放射组学联合模型的 AUC 最高,在训练队列和验证队列中分别为 0.894 和 0.872,在 T1-2 和 T3-4 亚组中分别为 0.744 和 0.784。基于临床放射组学联合模型的 LNM 可将患者分为高危和低危组,高危组的 2 年 DFS 显著低于低危组(P整合 CT-LNM、CT-T 分期、ITV-PTV-AP + VP 放射组学特征的临床-放射组学联合模型可预测 LNM,基于 LNM 的联合模型与 2 年 DFS 相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-phase contrast-enhanced CT-based intratumoral and peritumoral radiomics for preoperative prediction of lymph node metastasis in gastric cancer.

Objective: To determine whether intratumoral and peritumoral radiomics derived from dual-phase contrast-enhanced CT imaging could predict lymph node metastasis (LNM) in gastric cancer.

Methods: Patients with gastric cancer from January 2017 to January 2022 were retrospectively collected and were randomly divided into training cohort (n = 287) and test cohort (n = 121) with a ratio of 7: 3. Clinical features and traditional radiological features were analyzed to construct clinical model. Radiomics features based on intratumoral (ITV) and peritumoral volumetric (PTV) regions of the tumor were extracted and screened to construct radiomics models. Clinical-radiomics combined model was constructed by the most predictive radiomics features and clinical independent predictors. The correlation between LNM predicted by the best model and 2-year disease-free survival (DFS) was evaluated by the Kaplan-Meier analysis.

Results: CT-LNM and CT-T stage were independent predictors of LNM. Compared with other radiomics models, ITV + PTV on atrial and venous phase (ITV + PTV-AP + VP) radiomics model presented moderate AUCs of 0.679 and 0.670 in the training cohort and validation cohort, respectively. Among the models, clinical-radiomics combined model achieved the highest AUC of 0.894 and 0.872 in the training and test cohorts, and 0.744 and 0.784 in the T1-2 and T3-4 subgroups, respectively. Clinical-radiomics combined model based LNM could stratify patients into high-risk and low-risk groups, and 2-year DFS of high-risk group was significantly lower than that of low-risk group (p < 0.001).

Conclusion: Clinical-radiomics combined model integrating CT-LNM, CT-T stage, and ITV-PTV-AP + VP radiomics features could predict LNM, and this combined model based LNM was associated with 2-year DFS.

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来源期刊
BMC Gastroenterology
BMC Gastroenterology 医学-胃肠肝病学
CiteScore
4.20
自引率
0.00%
发文量
465
审稿时长
6 months
期刊介绍: BMC Gastroenterology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of gastrointestinal and hepatobiliary disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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