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3/26/2026 6:00:19 AM | Browse: 19 | Download: 17
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Received |
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2026-01-19 02:46 |
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Peer-Review Started |
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2026-01-19 02:47 |
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First Decision by Editorial Office Director |
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2026-01-29 09:18 |
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Return for Revision |
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2026-01-29 09:18 |
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Revised |
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2026-02-02 07:26 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-09 02:44 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-09 10:22 |
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Articles in Press |
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2026-03-09 10:22 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-03-19 05:49 |
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Publish the Manuscript Online |
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2026-03-26 05:51 |
| ISSN |
1949-8470 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| 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 |
Opinion Review |
| Article Title |
Proposing Incidental-Reporting and Data System: A classification system for incidental findings in radiology
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Nikolaos-Achilleas Arkoudis, Ornella Moschovaki-Zeiger, Christos Koutserimpas, Niki Lama, Georgios Velonakis, Dimitrios Filippiadis, Stavros Spiliopoulos and Nikolaos Kelekis |
| Funding Agency and Grant Number |
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| Corresponding Author |
Nikolaos-Achilleas Arkoudis, Lecturer, MD, PhD, Researcher, Research Unit of Radiology and Medical Imaging, National and Kapodistrian University of Athens, Papadiamantopoulou 19, Athens 11528, Attikí, Greece. nick.arkoudis@gmail.com |
| Key Words |
Incidental findings; Structured reporting; Data system; Classification system; Standardization; Communication; Radiology; Data harmonization; Research; Artificial intelligence in radiology |
| Core Tip |
Although several guidelines on managing specific incidental findings (IFs) already exist and largely enable clinical practice, standardized recommendations accommodated within written radiology reports are lacking. We propose the use of the Incidental Reporting and Data System (I-RADS) to promote clarifying the necessity of next steps and management of IFs within radiology reports, similar to other “Reporting and Data System” systems. I-RADS attempts to improve communication among physicians and standardize recommendations while also allowing the promotion of research. Along with preexisting tools and guidelines, adoption of I-RADS could harmonize IFs management, diminish misunderstandings, improve patient outcomes, and support multicenter studies. |
| Publish Date |
2026-03-26 05:51 |
| Citation |
Arkoudis NA, Moschovaki-Zeiger O, Koutserimpas C, Lama N, Velonakis G, Filippiadis D, Spiliopoulos S, Kelekis N. Proposing Incidental-Reporting and Data System: A classification system for incidental findings in radiology. World J Radiol 2026; 18(3): 119025 |
| URL |
https://www.wjgnet.com/1949-8470/full/v18/i3/119025.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v18.i3.119025 |
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