Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography.
Giovanni SpinellaAlice FantazziniAlice FinotelloElena VincenziGian Antonio BoschettiFrancesca BruttiMarco MaglioccoBianca PaneCurzio BassoMichele ContiPublished in: Journal of digital imaging (2023)
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.
Keyphrases
- deep learning
- convolutional neural network
- artificial intelligence
- coronary artery
- abdominal aortic aneurysm
- end stage renal disease
- newly diagnosed
- machine learning
- chronic kidney disease
- prognostic factors
- high throughput
- clinical trial
- pulmonary artery
- randomized controlled trial
- computed tomography
- patient reported outcomes
- aortic valve
- magnetic resonance
- left ventricular
- magnetic resonance imaging
- optic nerve
- single cell
- abdominal aortic
- mass spectrometry
- aortic dissection
- patient reported