Role of imaging in deep vein thrombosis: a review article

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 224

This Paper With 9 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_QJVC-1-1_004

تاریخ نمایه سازی: 24 آبان 1401

Abstract:

Background and Aims: Venous Thrombo Embolism (VTE) refers to the formation of clots in blood vessels. The current study aimed to investigate deep vein thrombosis (DVT) by imaging modalities. Materials and Methods: In this review study, national databases, including Magiran, SID, IranMedex, as well as international ones, namely databases including PubMed, Google scholar, Scopus, and ISI, were searched for related books and articles.  The keywords included thrombosis, deep vein thrombosis, imaging, and thrombosis detection. Results: In patients with suspected primary or recurrent deep vein thrombosis, CT venography (CTV) and Magnetic Resonance Venography (MRV) are rarely used on suspicion of iliac vein thrombosis or inferior vena cava (IVC) thrombosis in ultrasound. These examinations have relatively poor reliability, cause adverse side effects of radiation and contrast materials, and are undoubtedly more costly.   Conclusion:  As evidenced by the obtained results, different methods are available for the diagnosis of deep vein thrombosis. Moreover, it was revealed that ultrasound imaging is the most reasonable method for initial examination due to its sensitivity, specificity, costs, and adverse effects.

Authors

Reihane Tabaraii

Department of Internal Medicine, Qom University of Medical Sciences, Qom, Iran

Mohammad Hosein Arjmandnia

Department of Pediatrics, Qom University of Medical Sciences, Qom, Iran

Enayatollah Noori

Student Research Committee, Qom University of Medical Sciences

Akram Barati

Department of Research and Technology, Qom University of Medical Sciences

Sajad Rezvan

Student Research Committee, Rafsanjan University of Medical Sciences

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :