In: Journal of Endovascular Therapy, 30 (2023), Nr. 5. pp. 739-745. ISSN 1526-6028 (Druckausg.); 1545-1550 (Online-Ausg.)
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Abstract
Purpose: Endoleaks are a common complication after endovascular aortic repair (EVAR) and thoracic endovascular aortic repair (TEVAR). The detection and correct classification of endoleaks is essential for the further treatment of affected patients. However, standard computed tomography angiography (CTA) provides no hemodynamic information on endoleaks, which can result in misclassification in complex cases. The aim of this study was to compare standard CTA (sCTA) with dynamic, dual-energy CTA (dCTA) for detection and classification of endoleaks following EVAR or TEVAR. Materials and Methods: This retrospective evaluation compared 69 sCTA diagnostic examinations performed on 50 different patients with 89 dCTA diagnostic examinations performed on 69 different patients. Results: In total, 15.9% of sCTA examinations and 49.4% of dCTA examinations led to the detection of endoleaks. With sCTA, 20.0% of patients were diagnosed with endoleaks, while with dCTA, 37.7% of patients were diagnosed with endoleaks. With sCTA, mainly Type 1 endoleaks were detected, whereas, with dCTA, the types of detected endoleaks were more evenly distributed. In comparison with the literature, the frequencies of endoleak types detected with dCTA better reflect the natural distribution than the frequencies detected with standard CTA. Conclusion: Based on the retrospective comparative evaluation, dCTA could pose a valuable supplementary diagnostic tool resulting in a more accurate and realistic detection and classification of suspected endoleaks.
Document type: | Article |
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Journal or Publication Title: | Journal of Endovascular Therapy |
Volume: | 30 |
Number: | 5 |
Publisher: | Sage |
Place of Publication: | Thousand Oaks, Calif. |
Edition: | Zweitveröffentlichung |
Date Deposited: | 20 Sep 2023 13:46 |
Date: | 2023 |
ISSN: | 1526-6028 (Druckausg.); 1545-1550 (Online-Ausg.) |
Page Range: | pp. 739-745 |
Faculties / Institutes: | Medizinische Fakultät Mannheim > Institut für Klinische Radiologie Service facilities > Uni-externe Einrichtungen |
DDC-classification: | 610 Medical sciences Medicine |
Additional Information: | Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz bzw. Nationallizenz frei zugänglich. *** This publication is freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively |