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Articles Published Processes
8/28/2026 1:49:22 AM | Browse: 2 | Download: 0
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Received |
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2026-05-28 06:24 |
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Peer-Review Started |
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2026-05-28 06:24 |
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First Decision by Editorial Office Director |
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2026-06-12 14:22 |
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Return for Revision |
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2026-06-12 14:22 |
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Revised |
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2026-06-26 02:37 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-07-16 02:41 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-07-16 08:19 |
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Articles in Press |
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2026-07-16 08:19 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-20 08:25 |
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Publish the Manuscript Online |
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2026-08-28 01:49 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sivan Sathish, Haritma Nigam and Rupal Gupta |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2026-08-28 01:49 |
| 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; 18(8): 123757
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| URL |
https://www.wjgnet.com/1949-8470/full/v18/i8/123757.htm |
| DOI |
https://doi.org/10.4329/wjr.123757 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
