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Automatic detection and measurement system for aortic aneurysms using deep learning-based artificial intelligence.

Jumpei Fujiwara1, Makoto Orii2, Kohei Oyamada3

  • 1Department of Radiology, Iwate Medical University, Yahaba, Morioka, Japan.

The International Journal of Cardiovascular Imaging
|January 27, 2026
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A new deep learning artificial intelligence system accurately detects aortic aneurysms and measures aorta diameters on CT scans. This AI tool shows high performance, improving diagnostic accuracy for cardiovascular conditions.

Keywords:
Aortic aneurysmDeep learning-based artificial intelligenceNon-contrast computed tomography

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Area of Science:

  • Radiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Aortic aneurysms are a significant cause of mortality.
  • Accurate detection and measurement are crucial for effective management.
  • Non-contrast CT is a common imaging modality for aortic assessment.

Purpose of the Study:

  • To evaluate a deep learning artificial intelligence (DLAI) system for detecting fusiform aortic aneurysms.
  • To assess the DLAI system's accuracy in measuring aortic diameters on non-contrast CT images.

Main Methods:

  • Retrospective collection of 160 non-contrast CT images for training and 190 for validation.
  • Comparison of DLAI system's performance against radiology reports and expert radiologist review.
  • Calculation of Dice scores for aortic segmentation and metrics for aneurysm detection (sensitivity, PPV, F-measure).

Main Results:

  • High Dice scores for aortic segmentation: 0.90 (entire aorta), 0.94 (thoracic), 0.93 (abdominal), 0.84 (iliac).
  • DLAI system showed sensitivity, PPV, and F-measure of 0.81, 0.83, and 0.82 for aneurysm detection, improving to 0.83, 0.87, and 0.85 after radiologist review.
  • Strong correlation (ICC=0.97) in aneurysm diameter measurements with a mean error of 0.86 ± 2.72 mm.

Conclusions:

  • The DLAI system demonstrates high accuracy in detecting aortic aneurysms.
  • The system is effective in measuring aortic diameters on non-contrast CT scans.
  • This AI tool has the potential to enhance the diagnosis and monitoring of aortic diseases.