Literature DB >> 17259831

Differentiation of renal neoplasms from high-density cysts: use of attenuation changes between the corticomedullary and nephrographic phases of computed tomography.

Ronald J Zagoria1, Tyler Gasser, John R Leyendecker, Robert E Bechtold, Raymond B Dyer.   

Abstract

PURPOSE: The current study evaluated attenuation changes for proven renal neoplasms between the corticomedullary and the nephrographic phases of a contrast-enhanced computed tomographic (CT) scan as a possible means for differentiating these tumors from the cysts of the kidney when high-density renal masses are detected on a CT scan that does not include a noncontrast baseline.
METHODS: We retrospectively reviewed the CT scans performed on 20 patients with 21 biopsy-proven renal neoplasms, which had been done using standard contrast-enhanced computed tomography only. Attenuation values for the 21 renal neoplasms and for 23 simple cysts, used as an internal control, were measured and recorded from the 2 phases of enhancement. The difference in attenuation between the 2 phases of enhancement for each mass was calculated. Data for the neoplasms and cysts were compared with published data for enhancement changes for proven high-density renal cysts.
RESULTS: The mean absolute value change in attenuation between the corticomedullary and the nephrographic phases for renal neoplasms was 22 Hounsfield units (HU) (range, 1.0-48 HU) and 1 HU (range, 0.1-3.3 HU) for simple cysts. Only one renal neoplasm (5%) changed to less than 10 HU.
CONCLUSIONS: Almost all renal neoplasms studied had an attenuation change of more than 10 HU, either increased or decreased, between 2 phases of a contrast-enhanced CT scan separated by 50 seconds. The results suggest that if the attenuation of a renal tumor changes by more than 10 HU between phases of a contrast-enhanced computed tomography, then the diagnosis of renal neoplasm is very likely. High-attenuation renal masses which change less than 10 HU between the corticomedullary and tubular phases are most likely high-density cysts, but neoplasm is possible.

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Year:  2007        PMID: 17259831     DOI: 10.1097/01.rct.0000235071.27185.c6

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

1.  Automated noninvasive classification of renal cancer on multiphase CT.

Authors:  Marius George Linguraru; Shijun Wang; Furhawn Shah; Rabindra Gautam; James Peterson; W Marston Linehan; Ronald M Summers
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

2.  Renal Tumor Quantification and Classification in Contrast-Enhanced Abdominal CT.

Authors:  Marius George Linguraru; Jianhua Yao; Rabindra Gautam; James Peterson; Zhixi Li; W Marston Linehan; Ronald M Summers
Journal:  Pattern Recognit       Date:  2009-06-01       Impact factor: 7.740

Review 3.  Diagnostic Imaging of Autosomal Dominant Polycystic Kidney Disease.

Authors:  Monika Gradzik; Mariusz Niemczyk; Marek Gołębiowski; Leszek Pączek
Journal:  Pol J Radiol       Date:  2016-09-17
  3 in total

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