Key result
3D biomechanical strain analysis predicts long-term post-EVAR prognosis with ~89% AUC.
Why the study?
There is a lack of advanced quantitative image-analysis tools to support clinicians in post-operative surveillance of abdominal aortic aneurysm after EVAR, beyond diameter-based rupture risk assessment.
Does post-operative CTA time-series registration and aneurysm biomechanical strain analysis predict long-term patient prognosis in patients treated with EVAR for abdominal aortic aneurysm?
Observational (n=22)
No
Does post-operative CTA time-series registration and aneurysm biomechanical strain analysis predict long-term patient prognosis in patients treated with EVAR for abdominal aortic aneurysm?
Effect estimate: AUC 88.6%
Strain information extracted directly from post-operative CTA images can capture aneurysm biomechanics and predict long-term patient prognosis after EVAR with high accuracy.
May support quantitative CTA surveillance post-EVAR; leaves open clinical adoption pending larger prospective validation.
An abdominal aortic aneurysm (AAA) is a focal dilation of the abdominal aorta, that if not treated, tends to grow and may rupture. The most common treatment for AAAs is the endovascular aneurysm repair (EVAR), which requires that patients undergo Computed Tomography Angiography (CTA)-based post-operative lifelong surveillance due to the possible appearance of complications. These complications may again lead to AAA dilation and rupture. However, there is a lack of advanced quantitative image-analysis tools to support the clinicians in the follow-up. Currently, the approach is to evaluate AAA diameter changes along time to infer the progress of the patient and the post-operative risk of AAA rupture. An increased AAA diameter is usually associated with a higher rupture risk, but there are some small AAAs that rupture, whereas other larger aneurysms remain stable. This means that the diameter-based rupture risk assessment is not suitable for all the cases, and there is increasing evidence that the biomechanical behavior of the AAA may provide additional valuable information regarding the progression of the disease and the risk of rupture. Hence, we propose a promising methodology for post-operative CTA time-series registration and subsequent aneurysm biomechanical strain analysis. From these strains, quantitative image-based descriptors are extracted using a principal component analysis of the tensile and compressive strain fields. Evaluated on 22 patients, our approach yields a mean area under the curve of 88.6% when correlating the strain-based quantitative descriptors with the long-term patient prognosis. This suggests that the strain information directly extracted from the CTA images is able to capture the biomechanical behavior of the aneurysm without relying on finite element modeling and simulation. Furthermore, the extracted descriptors set the basis for possible future imaging biomarkers that may be used in clinical practice. Apart from the diameter, these biomarkers may be used to assess patient prognosis and to enable informed decision making after an EVAR intervention, especially in difficult uncertain cases.
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López‐Linares et al. (2019) conducted an observational in Abdominal Aortic Aneurysm (AAA) post-EVAR (n=22). Image-based 3D biomechanical strain analysis was evaluated on Correlation of strain-based quantitative descriptors with long-term patient prognosis (ROC-AUC) (AUC 88.6%). An image-based 3D biomechanical strain analysis of abdominal aortic aneurysms yielded a mean area under the curve of 88.6% when correlating strain-based quantitative descriptors with long-term patient prognosis after endovascular aneurysm repair.
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