Stepwise algorithm using computed tomography and magnetic resonance imaging for diagnosis of fat-poor angiomyolipoma in small renal masses: Development and external validation
Author:
Affiliation:
1. Department of Urology; Tokyo Medical and Dental University; Tokyo Japan
2. Department of Radiology; Ochanomizu Surugadai Clinic; Tokyo Japan
3. Department of Urology; Cancer Institute Hospital; Japanese Foundation for Cancer Research; Tokyo Japan
Publisher
Wiley
Subject
Urology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/iju.13354/fullpdf
Reference21 articles.
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2. Preoperatively misclassified, surgically removed benign renal masses: a systematic review of surgical series and United States population-level burden estimate;Johnson;J. Urol.,2015
3. Benign renal tumors detected among healthy adults by abdominal ultrasonography;Fujii;Eur. Urol.,1995
4. Prevalence of sporadic renal angiomyolipoma: a retrospective analysis of 61,389 in- and out-patients;Fittschen;Abdom. Imaging,2014
5. Renal angiomyolipoma: a radiological classification and update on recent developments in diagnosis and management;Jinzaki;Abdom. Imaging,2014
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1. Feasibility and Reproducibility of T2 Mapping Compared with Diffusion-Weighted Imaging in Solid Renal Masses;Bioengineering;2024-09-07
2. Stepwise algorithm using computed tomography and magnetic resonance imaging for differential diagnosis of fat‐poor angiomyolipoma in small renal masses: A prospective validation study;International Journal of Urology;2024-04-17
3. Hyperechoic Renal Masses: Differentiation of Angiomyolipomas from Renal Cell Carcinomas using Tumor Size and Ultrasound Radiomics;Ultrasound in Medicine & Biology;2022-05
4. Utility of radiomics features of diffusion-weighted magnetic resonance imaging for differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma: model development and external validation;Abdominal Radiology;2022-04-15
5. Imaging features of renal lipid-poor angiomyolipomas: a pictorial review;Chinese Journal of Academic Radiology;2022-04-08
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