Peripheral vascular malformations – modern imaging

التفاصيل البيبلوغرافية
العنوان: Peripheral vascular malformations – modern imaging
المؤلفون: Marek Stajgis, Piotr Stajgis, Natalia Majewska, Mateusz Wykrętowicz, Katarzyna Katulska, Grzegorz Oszkinis
المصدر: Polish Journal of Radiology
بيانات النشر: Termedia Sp. z.o.o., 2018.
سنة النشر: 2018
مصطلحات موضوعية: Review Paper, medicine.medical_specialty, Diagnostic methods, medicine.diagnostic_test, high-flow malformations, business.industry, low-flow malformations, Vascular malformation, Magnetic resonance imaging, medicine.disease, vascular malformation, 030218 nuclear medicine & medical imaging, Imaging modalities, Peripheral, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Angiography, medicine, magnetic resonance imaging, Exact location, Radiology, business
الوصف: Currently the major aim in peripheral vascular malformation diagnosis, crucial for subsequent management and treatment, is to identify its haemodynamic characteristics. Other significant features that should be specified by a radiologist are the exact location of the anomaly, its size, and its morphology. Until recently the diagnostic methods available for comprehensive evaluation of malformations have been rather limited. Moreover, they were often associated with the necessity of exposing the patient to X-ray radiation and with invasive procedures, as for example in angiography. The development of imaging techniques used in the diagnosis of vascular abnormalities in recent years, especially magnetic resonance imaging, has contributed to improved diagnostic value of the tests. In this article we review the currently available imaging modalities with particular consideration of magnetic resonance imaging and its capability to distinguish between high- and low-flow malformations.
تدمد: 1899-0967
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba4ab9c32fb7197818d69a9b348ad7fe
https://doi.org/10.5114/pjr.2018.75724
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....ba4ab9c32fb7197818d69a9b348ad7fe
قاعدة البيانات: OpenAIRE