A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.
Ann Surg
; 277(2): e449-e459, 2023 02 01.
Article
en En
| MEDLINE
| ID: mdl-33913675
ABSTRACT
BACKGROUND:
Intravenous contrast agents are routinely used in CT imaging to enable the visualization of intravascular pathology, such as with abdominal aortic aneurysms. However, the injection is contraindicated in patients with iodine allergy and is associated with renal complications.OBJECTIVES:
In this study, we investigate if the raw data acquired from a noncontrast CT image contains sufficient information to differentiate blood and other soft tissue components. A deep learning pipeline underpinned by generative adversarial networks was developed to simulate contrast enhanced CTA images using noncontrast CTs. METHODS ANDRESULTS:
Two generative models (cycle- and conditional) are trained with paired noncontrast and contrast enhanced CTs from seventy-five patients (total of 11,243 pairs of images) with abdominal aortic aneurysms in a 3-fold cross-validation approach with a training/testing split of 5025 patients. Subsequently, models were evaluated on an independent validation cohort of 200 patients (total of 29,468 pairs of images). Both deep learning generative models are able to perform this image transformation task with the Cycle-generative adversarial network (GAN) model outperforming the Conditional-GAN model as measured by aneurysm lumen segmentation accuracy (Cycle-GAN 86.1% ± 12.2% vs Con-GAN 85.7% ± 10.4%) and thrombus spatial morphology classification accuracy (Cycle-GAN 93.5% vs Con-GAN 85.7%).CONCLUSION:
This pipeline implements deep learning methods to generate CTAs from noncontrast images, without the need of contrast injection, that bear strong concordance to the ground truth and enable the assessment ofimportant clinical metrics. Our pipeline is poised to disrupt clinical pathways requiring intravenous contrast.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Aneurisma de la Aorta
/
Aneurisma de la Aorta Abdominal
/
Aprendizaje Profundo
Tipo de estudio:
Guideline
Límite:
Humans
Idioma:
En
Revista:
Ann Surg
Año:
2023
Tipo del documento:
Article
País de afiliación:
Reino Unido