کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8606147 1566965 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Characterization of small (<4 cm) solid renal masses by computed tomography and magnetic resonance imaging: Current evidence and further development
ترجمه فارسی عنوان
تشخیص توده های کلیوی کوچک (کمتر از 4 سانتیمتر) با توموگرافی کامپیوتری و تصویربرداری رزونانس مغناطیسی: شواهد موجود و توسعه بیشتر
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی انفورماتیک سلامت
چکیده انگلیسی
Diagnosis of renal cell carcinomas (RCC) subtypes on computed tomography (CT) and magnetic resonance imaging (MRI) is clinically important. There is increased evidence that confident imaging diagnosis is now possible while standardization of the protocols is still required. Fat-poor angiomyolipoma show homogeneously increased unenhanced attenuation, homogeneously low signal on T2-weighted MRI and apparent diffusion coefficient (ADC) map, may contain microscopic fat and are classically avidly enhancing. Papillary RCC are also typically hyperattenuating and of low signal on T2-weighted MRI and ADC map; however, their gradual progressive enhancement after intravenous administration of contrast material is a differentiating feature. Clear cell RCC are avidly enhancing and may show intracellular lipid; however, these tumors are heterogeneous and are of characteristically increased signal on T2-weighted MRI. Oncocytomas and chromophobe tumors (collectively oncocytic neoplasms) show intermediate imaging findings on CT and MRI and are the most difficult subtype to characterize accurately; however, both show intermediately increased signal on T2-weighted with more gradual enhancement compared to clear cell RCC. Chromophobe tumors tend to be more homogeneous compared to oncocytomas, which can be heterogeneous, but other described features (e.g. scar, segmental enhancement inversion) overlap considerably between tumors. Tumor grade is another important consideration in small solid renal masses with emerging studies on both CT and MRI suggesting that high grade tumors may be separated from lower grade disease based upon imaging features.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Diagnostic and Interventional Imaging - Volume 99, Issues 7–8, July–August 2018, Pages 443-455
نویسندگان
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