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Publication Name World Journal of Radiology
Manuscript ID 123757
DOI 10.4329/wjr.123757
Country India
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Retrospective Cohort Study
Article Title Cone-beam computed tomography-based radiomic analysis of architectural phenotypes in jaw cysts and tumors using interpretable artificial intelligence models
Manuscript Source Invited Manuscript
All Author List Sivan Sathish, Haritma Nigam and Rupal Gupta
Funding Agency and Grant Number
Corresponding Author Sivan Sathish, Doctorate Student, Department of Oral Medicine and Radiology, Teerthanker Mahaveer Dental College and Research Centre, Teerthanker Mahaveer University, Delhi Road, Moradabad 244001, Uttar Pradesh, India. drsivan.dental@tmu.ac.in
Key Words Artificial intelligence; Cone-beam computed tomography; Jaw cysts; Jaw Tumors; Radiomics
Core Tip Radiomic analysis of cone-beam computed tomographic images allows objective evaluation of architecture in jaw cysts and tumors through analysis of heterogeneity, spatial distribution, and texture of voxels. In contrast to traditional qualitative radiological interpretation, this phenotypic approach uses radiomics to classify jaw lesions into three groups: Homogenous with fluid predominance, intermediate with septations, and complex or heterogenous. Radiomic signatures based on texture have proved highly effective and biologically relevant, making them promising tools for imaging biomarkers and decision support in oral and maxillofacial radiology.
Citation Sathish S, Nigam H, Gupta R. Cone-beam computed tomography-based radiomic analysis of architectural phenotypes in jaw cysts and tumors using interpretable artificial intelligence models. World J Radiol 2026; In press
PDF 123757-in-press.pdf
Received
2026-05-28 06:24
Peer-Review Started
2026-05-28 06:24
First Decision by Editorial Office Director
2026-06-12 14:22
Return for Revision
2026-06-12 14:22
Revised
2026-06-26 02:37
Publication Fee Transferred
Second Decision by Editor
2026-07-16 02:41
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-07-16 08:19
Articles in Press
2026-07-16 08:19
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1949-8470 (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 ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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