MDCT-based scoring system for differentiating angiomyolipoma with minimal fat from renal cell carcinoma-Reference-Cited by-同舟云学术

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MDCT-based scoring system for differentiating angiomyolipoma with minimal fat from renal cell carcinoma

Published:2013-12 Issue:10 Volume:54 Page:1201-1209
ISSN:0284-1851
Container-title:Acta Radiologica
language:en
Short-container-title:Acta Radiol

Author:

Kim Mi-hyun¹,Lee JungBok²,Cho Gyunggoo³,Cho Kyoung-Sik¹,Kim Jungmi⁴,Kim Jeong Kon¹³

Affiliation:

1. Department of Radiology, Research Institute of Radiology Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

2. Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

3. Division of Magnetic Resonance, Korea Basic Science Institute, Chungbuk, Republic of Korea

4. Sogang Center for Writing, Sogang University, Seoul, Republic of Korea

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

Link

http://journals.sagepub.com/doi/pdf/10.1177/0284185113491087

Reference25 articles.

1. Rising Incidence of Renal Cell Cancer in the United States

2. Pathological Features of Renal Neoplasms Classified by Size and Symptomatology

3. Solid Renal Tumors: An Analysis of Pathological Features Related to Tumor Size

4. Computed tomographic findings in renal angiomyolipoma: An histologic correlation

5. Angiomyolipoma: imaging findings in lesions with minimal fat.

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1. Predictive quantitative multidetector computed tomography models for characterization of renal cell carcinoma subtypes and differentiation from renal oncocytoma: nomogram algorithmic approach analysis;Egyptian Journal of Radiology and Nuclear Medicine;2024-07-11

2. Predictive Value of CT-Based Radiomics in Distinguishing Renal Angiomyolipomas with Minimal Fat from Other Renal Tumors;Disease Markers;2022-05-28

3. CT differentiation of fat-poor angiomyolipomas from papillary renal cell carcinomas: development of a predictive model;Abdominal Radiology;2021-03-06

4. Circularity Index on Contrast-Enhanced Computed Tomography Helps Distinguish Fat-Poor Angiomyolipoma from Renal Cell Carcinoma: Retrospective Analyses of Histologically Proven 257 Small Renal Tumors Less Than 4 cm;Korean Journal of Radiology;2021

5. Differential diagnosis of hypervascular ultra-small renal cell carcinoma and renal angiomyolipoma with minimal fat in early stage by using thin-section multidetector computed tomography;Abdominal Radiology;2020-05-16

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