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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 127294
DOI 10.4251/wjgo.127294
Country China
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Meta-Analysis
Article Title Preoperative human epidermal growth factor receptor 2 assessment in gastric cancer using radiomics and machine learning: A diagnostic meta-analysis
Manuscript Source Unsolicited Manuscript
All Author List Hao Ma, Jia-Wen Tang, Shi-Zhou Tang, Feng-Zhang Zhu, Jia-Xin Yin, Shi-Yin Zou, Zheng Yan, Xiang-Lin Zhang and Gang Li
Funding Agency and Grant Number
Corresponding Author Gang Li, Academic Fellow, Department of Radiology, The First Affiliated Hospital of Jinzhou Medical University, No. 2, Section 5, Renmin Street, Jinzhou 124000, Liaoning Province, China. jzykdxlg@yeah.net
Key Words Gastric cancer; Human epidermal growth factor receptor 2; Radiomics; Machine learning; Diagnostic accuracy; Computed tomography
Core Tip Across 20 independent studies, pooled validation discrimination, measured by the area under the receiver operating characteristic curve, was 0.821, but the 95% prediction interval was 0.673-0.911 and 15 studies had high PROBAST + AI concern. Patient-level diagnostic-accuracy evidence relied on four uniquely reconstructed validation tables, with no eligible directly reported 2 × 2 table. The evidence is therefore very uncertain and does not establish calibration, clinical benefit, or readiness to replace histopathological human epidermal growth factor receptor 2 testing.
Citation Ma H, Tang JW, Tang SZ, Zhu FZ, Yin JX, Zou SY, Yan Z, Zhang XL, Li G. Preoperative human epidermal growth factor receptor 2 assessment in gastric cancer using radiomics and machine learning: A diagnostic meta-analysis. World J Gastrointest Oncol 2026; In press
PDF 127294-in-press.pdf
Received
2026-08-26 01:57
Peer-Review Started
2026-08-26 01:57
First Decision by Editorial Office Director
Return for Revision
2026-09-07 03:12
Revised
2026-09-07 19:23
Publication Fee Transferred
2026-10-06 14:44
Second Decision by Editor
2026-11-02 02:18
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-11-04 10:50
Articles in Press
2026-11-04 10:50
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-5204 (online)
Open Access This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright © The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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