دورية أكاديمية
Multislice computed tomography/contrast-enhanced ultrasound image fusion as a tool for evaluating unclear renal cysts
| العنوان: | Multislice computed tomography/contrast-enhanced ultrasound image fusion as a tool for evaluating unclear renal cysts |
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| المؤلفون: | Johannes Rübenthaler, Stephanie Wilson, Dirk-Andre Clevert |
| المصدر: | Ultrasonography, Vol 38, Iss 2, Pp 181-187 (2019) |
| بيانات النشر: | Korean Society of Ultrasound in Medicine, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Medical technology |
| مصطلحات موضوعية: | Cystic renal masses, Bosniak classification, Contrast enhanced ultrasound, Image fusion, Multislice-CT, Medical technology, R855-855.5 |
| الوصف: | Ultrasonography is a generally accepted imaging technique for diagnosing and monitoring cystic renal lesions. The widely used Bosniak classification (I-IV) categorizes renal cystic lesions into five distinctive groups according to ultrasonography and computed tomography (CT) image criteria. For solid renal lesions, determination of vascularity is discriminatory for malignancy in most instances. In indeterminate cases, contrast-enhanced ultrasound (CEUS) and magnetic resonance imaging/CT-ultrasound image fusion are able to detect and characterize difficult pathologies, with superior performance to either technique alone. In contrast to multislice CT (MS-CT), ultrasound image fusion is a real-time imaging technique that can be used in combination with other cross-sectional imaging modalities. This technical note describes state-of-the-art image fusion of CEUS and MS-CT to detect and characterize unclear renal pathologies. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2288-5919 2288-5943 |
| Relation: | http://www.e-ultrasonography.org/upload/usg-18024.pdf; https://doaj.org/toc/2288-5919; https://doaj.org/toc/2288-5943 |
| DOI: | 10.14366/usg.18024 |
| URL الوصول: | https://doaj.org/article/cd6da4ea7e4a4474a7d3542df986bf48 |
| رقم الأكسشن: | edsdoj.6da4ea7e4a4474a7d3542df986bf48 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22885919 22885943 |
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| DOI: | 10.14366/usg.18024 |