Literature DB >> 17620471

Hyperattenuating renal masses: etiologies, pathogenesis, and imaging evaluation.

Stuart G Silverman1, Koenraad J Mortele, Kemal Tuncali, Masahiro Jinzaki, Edmund S Cibas.   

Abstract

Some renal masses have higher attenuation than the surrounding renal parenchyma at computed tomography (CT). Their hyperattenuation is usually the result of proteinaceous fluid or densely packed cells. Most hyperattenuating renal masses are benign hemorrhagic or proteinaceous cysts. However, solid enhancing hyperattenuating renal masses may have malignant as well as benign causes. Possible malignant causes include renal cell carcinoma and lymphoma; benign causes include angiomyolipoma with minimal fat. It is important to identify the cause of a hyperattenuating renal mass so as to avoid unnecessary surgical resection or ablation. CT may be useful for diagnosing benign hyperattenuating renal cysts, hematomas, and vascular anomalies that appear masslike. However, some solid, enhancing, hyperattenuating masses cannot be diagnosed confidently with CT alone: Small (< or = 3-cm-diameter), homogeneously enhancing, hyperattenuating renal masses depicted on CT images may be either benign angiomyolipomas with minimal fat or renal cell carcinomas. Magnetic resonance (MR) imaging may be helpful for differentiating between angiomyolipomas with minimal fat and clear cell renal cell carcinomas; however, differentiation between angiomyolipomas with minimal fat and papillary renal cell carcinomas often is not possible on the basis of MR imaging. In such cases, a percutaneous biopsy may be useful for diagnosis. If the results of MR imaging and percutaneous biopsy are not definitive, surgery is warranted. RSNA, 2007

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Year:  2007        PMID: 17620471     DOI: 10.1148/rg.274065147

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  35 in total

1.  Dual-energy CT with tin filter technology for the discrimination of renal lesion proxies containing blood, protein, and contrast-agent. An experimental phantom study.

Authors:  Christoph Karlo; Arno Lauber; Robert Paul Götti; Stephan Baumüller; Paul Stolzmann; Hans Scheffel; Lotus Desbiolles; Bernhard Schmidt; Borut Marincek; Hatem Alkadhi; Sebastian Leschka
Journal:  Eur Radiol       Date:  2010-08-15       Impact factor: 5.315

2.  The essence of the Japan Radiological Society/Japanese College of Radiology Imaging Guideline.

Authors:  Yasuyuki Yamashita; Sadayuki Murayama; Masahiro Okada; Yoshiyuki Watanabe; Masako Kataoka; Yasushi Kaji; Keiko Imamura; Yasuo Takehara; Hiromitsu Hayashi; Kazuko Ohno; Kazuo Awai; Toshinori Hirai; Kazuyuki Kojima; Shuji Sakai; Naofumi Matsunaga; Takamichi Murakami; Kengo Yoshimitsu; Toshifumi Gabata; Kenji Matsuzaki; Eriko Tohno; Yasuhiro Kawahara; Takeo Nakayama; Shuichi Monzawa; Satoru Takahashi
Journal:  Jpn J Radiol       Date:  2016-01       Impact factor: 2.374

3.  Renal cell carcinomas with t(6;11) (p21;q12): presentation of two cases with computed tomography findings.

Authors:  YiJun Zhao; Jin Yao; Ni Chen; Hao Zeng; Wei Zhang
Journal:  Jpn J Radiol       Date:  2015-05-07       Impact factor: 2.374

4.  Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.

Authors:  Ruimeng Yang; Jialiang Wu; Lei Sun; Shengsheng Lai; Yikai Xu; Xilong Liu; Ying Ma; Xin Zhen
Journal:  Eur Radiol       Date:  2019-08-29       Impact factor: 5.315

Review 5.  Review of renal cell carcinoma and its common subtypes in radiology.

Authors:  Gavin Low; Guan Huang; Winnie Fu; Zaahir Moloo; Safwat Girgis
Journal:  World J Radiol       Date:  2016-05-28

6.  Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.

Authors:  Zhichao Feng; Pengfei Rong; Peng Cao; Qingyu Zhou; Wenwei Zhu; Zhimin Yan; Qianyun Liu; Wei Wang
Journal:  Eur Radiol       Date:  2017-11-13       Impact factor: 5.315

7.  Comparative study of CT appearances in mucinous tubular and spindle cell carcinoma and collecting duct carcinoma of the kidney.

Authors:  Jingtao Wu; Qingqiang Zhu; Wenrong Zhu; Wenxin Chen; Shouan Wang
Journal:  Br J Radiol       Date:  2015-10-05       Impact factor: 3.039

Review 8.  An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions.

Authors:  Ravinder Kaur; Mamta Juneja; A K Mandal
Journal:  Med Biol Eng Comput       Date:  2019-11-21       Impact factor: 2.602

9.  The diagnostic dilemma of a multilocular renal cyst: a case report.

Authors:  Gaural Patel; Muhammad Choudhry; Kokila Lakhoo
Journal:  J Med Case Rep       Date:  2009-10-15

Review 10.  Biopsy of renal masses: when and why.

Authors:  V Anik Sahni; Stuart G Silverman
Journal:  Cancer Imaging       Date:  2009-07-06       Impact factor: 3.909

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