Cone-beam computed tomography-based radiomic analysis of architectural phenotypes in jaw cysts and tumors using interpretable artificial intelligence models

doi:10.4329/wjr.123757

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 18, Issue 8

This Article

(10)

(11)

(0)

(198)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Radiology

ISSN

1949-8470

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

Copyright: ©Author(s) 2026. 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.

World J Radiol. Aug 28, 2026; 18(8): 123757
Published online Aug 28, 2026. doi: 10.4329/wjr.123757

Table 5 Independent validation cohort performance, 95%CI

Model	AUC	Accuracy (%)	Sensitivity (%)	Specificity (%)	Precision
Logistic regression	0.89 (0.82-0.95)	83.3 (74.2-90.3)	84.7 (75.1-91.7)	81.5 (71.3-89.2)	0.82 (0.73-0.89)
Random forest	0.85 (0.77-0.91)	80.0 (70.5-87.5)	81.2 (71.2-88.8)	78.6 (68.1-86.8)	0.79 (0.69-0.87)
Support vector machine	0.81 (0.72-0.88)	76.7 (66.9-84.8)	78.4 (68.2-86.5)	74.1 (63.3-83.1)	0.76 (0.66-0.84)

AUC: Area under the curve.

Full Size Table

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
URL: https://www.wjgnet.com/1949-8470/full/v18/i8/123757.htm
DOI: https://dx.doi.org/10.4329/wjr.123757

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 [PMID: 42677009 DOI: 10.4329/wjr.123757]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.