Automatic Measurement of Maximal Diameter of Abdominal Aortic Aneurysm on Computed Tomography Angiography Using Artificial Intelligence

Lareyre, Fabien; Chaudhuri, Arindam; Flory, Violaine; Augène, Emmanuel; Adam, Cédric; Carrier, Marion; Amrani, Samantha; Chikande, Julien; Lê, Cong Duy; Raffort, Juliette

doi:10.1016/j.avsg.2021.12.008

Annals of Vascular Surgery

2022

DOI: 10.1016/j.avsg.2021.12.008

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Automatic Measurement of Maximal Diameter of Abdominal Aortic Aneurysm on Computed Tomography Angiography Using Artificial Intelligence

Fabien Lareyre¹,

Arindam Chaudhuri²,

Violaine Flory³

et al.

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Cited by 4 publications

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References 42 publications

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“… 3 , 4 , 5 These studies showed good accuracy for the methods compared with human experts and demonstrated the feasibility of using AI for automatic measurement of the AAA maximal diameter. 4 , 5 , 6 Hence, CNN offers perspectives to develop applications oriented toward screening and identification of AAA and new tools to facilitate its anatomic characterization, which could improve preoperative planning and follow-up. As stated by the authors, in addition to the development of advanced imaging analysis, machine learning has the potential to build predictive models of patients' outcomes.…”

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confidence: 99%

Convolutional neural network for automatic detection and characterization of abdominal aortic aneurysm

Lareyre¹,

Adam²,

Carrier³

et al. 2023

Journal of Vascular Surgery Cases, Innovations and Techniques

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mentioning

confidence: 99%

Convolutional neural network for automatic detection and characterization of abdominal aortic aneurysm

Lareyre¹,

Adam²,

Carrier³

et al. 2023

Journal of Vascular Surgery Cases, Innovations and Techniques

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Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography

et al. 2023

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The aim of our study is to validate a totally automated deep learning (DL)-based segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed tomography angiography (CTA) scans. We retrospectively evaluated 73 thoraco-abdominal CTAs (48 AAA and 25 control CTA) by means of a DL-based segmentation pipeline built on a 2.5D convolutional neural network (CNN) architecture to segment lumen and thrombus of the aorta. The maximum aortic diameter of the abdominal tract was compared using a threshold value (30 mm). Blinded manual measurements from a radiologist were done in order to create a true comparison. The screening pipeline was tested on 48 patients with aneurysm and 25 without aneurysm. The average diameter manually measured was 51.1 ± 14.4 mm for patients with aneurysms and 21.7 ± 3.6 mm for patients without aneurysms. The pipeline correctly classified 47 AAA out of 48 and 24 control patients out of 25 with 97% accuracy, 98% sensitivity, and 96% specificity. The automated pipeline of aneurysm measurements in the abdominal tract reported a median error with regard to the maximum abdominal diameter measurement of 1.3 mm. Our approach allowed for the maximum diameter of 51.2 ± 14.3 mm in patients with aneurysm and 22.0 ± 4.0 mm in patients without an aneurysm. The DL-based screening for AAA is a feasible and accurate method, calling for further validation using a larger pool of diagnostic images towards its clinical use.

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Automatic Segmentation of Maximum Aortic Diameter to Standardize Methods of Measurements on Computed Tomography Angiography

Lareyre

Lê

Adam

et al. 2022

Annals of Vascular Surgery

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Automatic Measurement of Maximal Diameter of Abdominal Aortic Aneurysm on Computed Tomography Angiography Using Artificial Intelligence

Cited by 4 publications

References 42 publications

Convolutional neural network for automatic detection and characterization of abdominal aortic aneurysm

Convolutional neural network for automatic detection and characterization of abdominal aortic aneurysm

Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography

Automatic Segmentation of Maximum Aortic Diameter to Standardize Methods of Measurements on Computed Tomography Angiography

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