1. Automatic Measurement of Maximal Diameter of Abdominal Aortic Aneurysm on Computed Tomography Angiography Using Artificial Intelligence
- Author
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Fabien Lareyre, Arindam Chaudhuri, Violaine Flory, Emmanuel Augène, Cédric Adam, Marion Carrier, Samantha Amrani, Julien Chikande, Cong Duy Lê, Juliette Raffort, Centre Hospitalier Antibes - Juan-les-Pins, Université Côte d'Azur (UCA), Inserm U1065, Centre Méditerranéen de Médecine Moléculaire, Bedfordshire Hospitals NHS Foundation Trust, Centre Hospitalier Universitaire de Nice (CHU Nice), CentraleSupélec, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019), Raffort, Juliette, and 3IA Côte d'Azur - - 3IA@cote d'azur2019 - ANR-19-P3IA-0002 - P3IA - VALID
- Subjects
Computed Tomography Angiography ,[SDV]Life Sciences [q-bio] ,Reproducibility of Results ,General Medicine ,030204 cardiovascular system & hematology ,030218 nuclear medicine & medical imaging ,[SDV] Life Sciences [q-bio] ,03 medical and health sciences ,Treatment Outcome ,0302 clinical medicine ,Artificial Intelligence ,Humans ,Radiographic Image Interpretation, Computer-Assisted ,Surgery ,Cardiology and Cardiovascular Medicine ,ComputingMilieux_MISCELLANEOUS ,Aortic Aneurysm, Abdominal - Abstract
The treatment of abdominal aortic aneurysm relies on surgical repair and the indication mainly depends on its size evaluated by the maximal diameter (Dmax). The aim of this study was to evaluate a new automatic method based on artificial intelligence to measure the Dmax on computed tomography angiography.A fully automatic segmentation of the vascular system was performed using a hybrid method combining expert system with supervised deep learning. The aorta centreline was extracted from the segmented aorta and the aortic diameters were automatically calculated. Results were compared to manual segmentation performed by two human operators.The median absolute error between the two human operators was 1.2 mm (IQR 0.5-1.9). The automatic method using the deep learning algorithm demonstrated correlation with the human segmentation, with a median absolute error of 0.8 (0.5-4.2) mm and a coefficient correlation of 0.91 (P0.001).Although validation in larger cohorts is required, this method brings perspectives to develop new tools to standardize and automate the measurement of abdominal aortic aneurysm Dmax in order to help clinicians in the decision-making process.
- Published
- 2022
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