CT-based radiomics nomogram for preoperative prediction of No.10 lymph nodes metastasis in advanced proximal gastric cancer

被引:16
作者
Wang, Lili [1 ]
Gong, Jing [2 ,3 ]
Huang, Xinming [1 ]
Lin, Guifang [1 ]
Zheng, Bin [4 ]
Chen, Jingming [1 ]
Xie, Jiangao [1 ]
Lin, Ruolan [1 ]
Duan, Qing [1 ]
Lin, Weiwen [1 ]
机构
[1] Fujian Med Univ Union Hosp, Dept Radiol, Fuzhou 350001, Fujian, Peoples R China
[2] Fudan Univ, Shanghai Canc Ctr, Dept Radiol, 270 Dongan Rd, Shanghai 200023, Peoples R China
[3] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai 200032, Peoples R China
[4] Univ Oklahoma, Sch Elect & Comp Engn, Norman, OK 73019 USA
来源
EJSO | 2021年 / 47卷 / 06期
关键词
Gastric cancer; No; 10 lymph nodes metastases; Radiomics; Computed tomography;
D O I
10.1016/j.ejso.2020.11.132
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Preoperative diagnosis of No.10 lymph nodes (LNs) metastases in advanced proximal gastric cancer (APGC) patients remains a challenge. The aim of this study was to develop a CT-based radiomics nomogram for identification of No.10 LNs status in APGCs. Materials and methods: A total of 515 patients with primary APGCs were retrospectively selected and divided into a training cohort (n = 340) and a validation cohort (n = 175). Total incidence of No.10 LNM was 12.4% (64/515). CT based radiomics nomogram combining with radiomic signature calculated from venous CT imaging features and CT-defined No.10 LNs status evaluated by radiologists was built and tested to predict the No.10 LNs status in APGCs. Results: CT based radiomics nomogram yielded classification accuracy with areas under ROC curves, AUC = 0.896 and 0.814 in training and validation cohort, respectively, while radiomic signature and radiologist' diagnosis based on contrast-enhanced CT images yielded lower AUCs ranging in 0.742-0.866 and 0.619-0.685, respectively. In the specificity higher than 80%, the sensitivity of using radiomics nomogram, radiomic signature and radiologists' evaluation to detect No.10 LNs positive cases was 82.8% (53/64), 67.2% (43/64) and 39.1% (25/64), respectively. Conclusions: The CT-based radiomics nomogram provides a promising and more effective method to yield high accuracy in identification of No.10 LNs metastases in APGC patients. (c) 2020 Elsevier Ltd, BASO -The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.
引用
收藏
页码:1458 / 1465
页数:8
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