Stenotic lesions of aorta: Imaging evaluation using multidetector computed tomography angiography
| Autor: | Vineeta Ojha, Sanjeev Kumar, Amarinder Singh Malhi, Niraj Nirmal Pandey, Sheragaru Hanumanthappa Chandrashekhara, Gautam Sharma, Mumun Sinha, Arun Sharma |
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| Rok vydání: | 2021 |
| Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty Computed Tomography Angiography Constriction Pathologic 030204 cardiovascular system & hematology 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine.artery Multidetector Computed Tomography Multidetector computed tomography Humans Medicine Lung Aorta medicine.diagnostic_test business.industry Angiography General Medicine medicine.disease Hypoplasia cardiovascular system Surgery Radiology Cardiology and Cardiovascular Medicine business |
| Zdroj: | Asian Cardiovascular and Thoracic Annals. 29:884-892 |
| ISSN: | 1816-5370 0218-4923 |
| DOI: | 10.1177/02184923211024094 |
| Popis: | Aortic involvement can be secondary to various pathologic disease processes. These may result in stenotic or aneurysmal aortic lesions with a varied spectrum of imaging findings including intra-luminal, mural, and periaortic changes along with associated loco-regional or distal changes, depending on the etiology. Multidetector computer tomography with its recent advances has become the frontline imaging modality for the evaluation of aortic pathologies. Comprehensive evaluation of the aortic pathology with simultaneous evaluation of lungs, bones, and visceral organs is possible with a single multidetector computer tomography acquisition. It allows accurate primary diagnosis, identifies important anatomic landmarks and relationships, and identifies associated cardiovascular anomalies. Moreover, it serves as an adjunct in diagnosis of various complications, helps in treatment planning and detection of disease progression during follow-up. |
| Databáze: | OpenAIRE |
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