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Articles Published Processes
8/28/2026 1:49:22 AM | Browse: 2 | Download: 2
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Received |
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2026-03-16 03:44 |
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Peer-Review Started |
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2026-03-16 03:44 |
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First Decision by Editorial Office Director |
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2026-04-16 08:31 |
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Return for Revision |
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2026-04-16 08:31 |
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Revised |
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2026-06-11 13:08 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-07-28 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-07-28 13:27 |
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Articles in Press |
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2026-07-28 13:27 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-21 01:18 |
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Publish the Manuscript Online |
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2026-08-28 01:49 |
| ISSN |
1949-8470 (online) |
| Open Access |
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 |
Anesthesiology |
| Manuscript Type |
Minireviews |
| Article Title |
Radiomics and anaesthetic planning: Quantitative imaging as a new frontier in preoperative risk assessment
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Prateek Maurya, Prashant Sirohiya, Manisha Sahoo, Sidharth Puri, Brajesh Kumar Ratre, Ram Singh and Balbir Kumar |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Prashant Sirohiya, Assistant Professor, MD, Department of Onco-Anaesthesia and Palliative Medicine, Dr. B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, Delhi, India. sirohiyaprashant@gmail.com |
| Key Words |
Radiomics; Anaesthesia; Perioperative medicine; Preoperative risk assessment; Body composition; Sarcopenia; Machine learning; Precision medicine; Quantitative imaging; Image biomarkers |
| Core Tip |
This minireview proposes radiomics-the extraction of high-dimensional quantitative features from routine medical images-as a novel tool for precision anaesthesia. By quantifying body composition, organ function, and vascular morphology from preoperative computed tomography and magnetic resonance imaging, clinicians can obtain objective biomarkers of physiologic reserve that augment traditional preoperative evaluation. Integration of radiomic features with clinical data through machine learning may enable personalized anaesthetic planning, optimized drug dosing, and improved identification of high-risk surgical patients. |
| Publish Date |
2026-08-28 01:49 |
| Citation |
Maurya P, Sirohiya P, Sahoo M, Puri S, Ratre BK, Singh R, Kumar B. Radiomics and anaesthetic planning: Quantitative imaging as a new frontier in preoperative risk assessment. World J Radiol 2026; 18(8): 121065
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| URL |
https://www.wjgnet.com/1949-8470/full/v18/i8/121065.htm |
| DOI |
https://doi.org/10.4329/wjr.121065 |
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.
