Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?

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Abstract

To determine the accuracy of texture analysis to differentiate fat-poor angiomyolipoma (fp-AML) from renal cell carcinoma (RCC) on unenhanced computed tomography (CT) images.

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Journal

Journal ID (iso-abbrev): Radiology

Title: Radiology

Publisher: Radiological Society of North America (RSNA)

ISSN (Electronic): 1527-1315

ISSN (Print): 0033-8419

Publication date (Electronic): Sep 2015

Volume: 276

Issue: 3

Affiliations

[1 ] From the Departments of Radiology (T.H., M.D.F.M., N.S., L.L., R.E.T.) and Anatomical Pathology (T.A.F.), University of Ottawa, 451 Smyth Rd, Ottawa, ON, Canada K1H 8M5; Departments of Medical Imaging (T.H., M.D.F.M., N.S., L.L., R.E.T.) and Anatomical Pathology (T.A.F.), The Ottawa Hospital, Ottawa, Ontario, Canada; and Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (M.D.F.M., N.S., R.E.T.).

Article

DOI: 10.1148/radiol.2015142215

PubMed ID: 25906183

SO-VID: e87fcebe-c5cf-4d7b-8be8-cd9134988cdc

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