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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1480466

Synergizing Traditional CT Imaging with Radiomics: A Novel Model for Preoperative Diagnosis of Gastric Neuroendocrine and Mixed Adenoneuroendocrine Carcinoma

Provisionally accepted
Xiaoxiao He Xiaoxiao He 1Sujun Yang Sujun Yang 2*Jialiang Ren Jialiang Ren 3Ning Wang Ning Wang 4*Min Li Min Li 1Yang You Yang You 1Yang Li Yang Li 1Yu Li Yu Li 1*Gaofeng Shi Gaofeng Shi 1Li Yang Li Yang 1*
  • 1 Fourth Hospital of Hebei Medical University, Shijiazhuang, China
  • 2 HanDan Central Hospital, Handan, Hebei Province, China
  • 3 GE Healthcare, Shanghai, Shanghai Municipality, China
  • 4 Zhengding Country People's Hospital, Shijiazhuang, Hebei Province, China

The final, formatted version of the article will be published soon.

    Objective: To develop diagnostic models for differentiating gastric neuroendocrine carcinoma (g-NEC) and gastric mixed adeno-neuroendocrine carcinoma (g-MANEC) from gastric adenocarcinoma (g-ADC) based on traditional contrast enhanced CT imaging features and radiomics features. Methods: We retrospectively analyzed 90 g-(MA)NEC (g-MANEC and g-NEC) patients matched 1:1 by T-stage with 90 g-ADC patients. Traditional CT features were analyzed using univariable and multivariable logistic regression. Tumor segmentation and radiomics features extraction were performed with Slicer and PyRadiomics. Feature selection was conducted through univariable analysis, correlation analysis, LASSO, and multivariable stepwise logistic. The combined model incorporated clinical and radiomics predictors. Diagnostic performance was assessed with ROC curves and DeLong's test. The models' diagnostic efficacy was further validated in subgroup of g-NEC vs. g-ADC and g-MANEC vs. g-ADC cases. Results: Tumor necrosis and lymph node metastasis were independent predictors for differentiating g-(MA)NEC from g-ADC (P < 0.05). The clinical model's AUC was 0.700 (training) and 0.667(validation). Five radiomics features were retained, with the radiomics model showing AUC

    Keywords: Gastric Carcinoma, neuroendocrine carcinoma, mixed adenoneuroendocrine carcinoma, traditional X-ray computed tomography, Radiomics

    Received: 14 Aug 2024; Accepted: 07 Oct 2024.

    Copyright: © 2024 He, Yang, Ren, Wang, Li, You, Li, Li, Shi and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Sujun Yang, HanDan Central Hospital, Handan, Hebei Province, China
    Ning Wang, Zhengding Country People's Hospital, Shijiazhuang, Hebei Province, China
    Yu Li, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
    Li Yang, Fourth Hospital of Hebei Medical University, Shijiazhuang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.