Open Access
Diagnostics, volume 12, issue 12, pages 3197
Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis
Publication type: Journal Article
Publication date: 2022-12-16
PubMed ID:
36553204
Clinical Biochemistry
Abstract
In this review, we focused on the applicability of artificial intelligence (AI) for opportunistic abdominal aortic aneurysm (AAA) detection in computed tomography (CT). We used the academic search system PubMed as the primary source for the literature search and Google Scholar as a supplementary source of evidence. We searched through 2 February 2022. All studies on automated AAA detection or segmentation in noncontrast abdominal CT were included. For bias assessment, we developed and used an adapted version of the QUADAS-2 checklist. We included eight studies with 355 cases, of which 273 (77%) contained AAA. The highest risk of bias and level of applicability concerns were observed for the “patient selection” domain, due to the 100% pathology rate in the majority (75%) of the studies. The mean sensitivity value was 95% (95% CI 100–87%), the mean specificity value was 96.6% (95% CI 100–75.7%), and the mean accuracy value was 95.2% (95% CI 100–54.5%). Half of the included studies performed diagnostic accuracy estimation, with only one study having data on all diagnostic accuracy metrics. Therefore, we conducted a narrative synthesis. Our findings indicate high study heterogeneity, requiring further research with balanced noncontrast CT datasets and adherence to reporting standards in order to validate the high sensitivity value obtained.
Citations by journals
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Kazan medical journal
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1 publication, 16.67%
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The Siberian Journal of Clinical and Experimental Medicine
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ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
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ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT, 1, 16.67%
ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
1 publication, 16.67%
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1
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Citations by publishers
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1
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Eco-Vector LLC
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1 publication, 16.67%
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Cardiology Research Institute
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1 publication, 16.67%
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SAGE
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SAGE
1 publication, 16.67%
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Springer Nature
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Springer Nature
1 publication, 16.67%
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Federal Center for Hygiene and Epidemiology
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Federal Center for Hygiene and Epidemiology, 1, 16.67%
Federal Center for Hygiene and Epidemiology
1 publication, 16.67%
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- Statistics recalculated weekly.
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Kodenko M. et al. Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis // Diagnostics. 2022. Vol. 12. No. 12. p. 3197.
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Kodenko M., Vasilev Y., Vladzymyrskyy A., Omelyanskaya O. V., Leonov D., Blokhin I., Novik V. P., Kulberg N., Samorodov A. V., Мокиенко О. А., Reshetnikov R. Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis // Diagnostics. 2022. Vol. 12. No. 12. p. 3197.
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TY - JOUR
DO - 10.3390/diagnostics12123197
UR - https://doi.org/10.3390%2Fdiagnostics12123197
TI - Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis
T2 - Diagnostics
AU - Kodenko, Maria
AU - Vasilev, Yuriy
AU - Vladzymyrskyy, Anton
AU - Omelyanskaya, Olga V.
AU - Leonov, Denis
AU - Blokhin, Ivan
AU - Novik, V. P.
AU - Kulberg, Nicholas
AU - Samorodov, Andrey V.
AU - Мокиенко, О. А.
AU - Reshetnikov, Roman
PY - 2022
DA - 2022/12/16 00:00:00
PB - Multidisciplinary Digital Publishing Institute (MDPI)
SP - 3197
IS - 12
VL - 12
PMID - 36553204
SN - 2075-4418
ER -
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@article{2022_Kodenko,
author = {Maria Kodenko and Yuriy Vasilev and Anton Vladzymyrskyy and Olga V. Omelyanskaya and Denis Leonov and Ivan Blokhin and V. P. Novik and Nicholas Kulberg and Andrey V. Samorodov and О. А. Мокиенко and Roman Reshetnikov},
title = {Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis},
journal = {Diagnostics},
year = {2022},
volume = {12},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
month = {dec},
url = {https://doi.org/10.3390%2Fdiagnostics12123197},
number = {12},
pages = {3197},
doi = {10.3390/diagnostics12123197}
}
Cite this
MLA
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Kodenko, Maria, et al. “Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis.” Diagnostics, vol. 12, no. 12, Dec. 2022, p. 3197. https://doi.org/10.3390%2Fdiagnostics12123197.