Literature DB >> 22468210

Characterization of small renal masses less than 4 cm with quadriphasic multidetector helical computed tomography: differentiation of benign and malignant lesions.

Seung-Kwon Choi1, Seung Hyun Jeon, Sung-Goo Chang.   

Abstract

PURPOSE: To identify the characteristic quadriphasic (unenhanced, corticomedullary, nephrographic, and excretory phase) helical multidetector computed tomography (MDCT) features of renal masses less than 4 cm to distinguish benign from malignant renal masses.
MATERIALS AND METHODS: In total, 84 patients were retrospectively analyzed to determine the characteristic features for the prediction of subtypes of small renal masses. The patients' age, gender, and tumor size and CT features, including the presence of intra-tumor degenerative changes, septation, calcification, and wall irregularity, were evaluated. In addition, the degree and pattern of enhancement obtained during four phases were analyzed. The relationship between the subtype of the small renal masses and the gender, morphological features, and pattern of contrast enhancement on the CT was analyzed by using the chi-square test. Tumor size and degree of contrast enhancement were compared by the Mann-Whitney U test. The predictive value of each of the CT features was determined by multivariate logistic regression analysis.
RESULTS: Of the 84 small renal masses, 17 (20%) were benign and 67 (80%) were malignant. Univariate analysis revealed that renal cell carcinoma lesions showed heterogeneous enhancement (p=0.002) and higher mean attenuation value on the corticomedullary and nephrographic phases (135.1±53.9, p=0.000, and 132.4±43.6, p=0.006). The multivariate analysis with logistic regression model showed that only the mean attenuation value on the corticomedullary phase had a statistically significant correlation (p=0.021).
CONCLUSIONS: For the characterization of small renal masses, the degree of enhancement on the corticomedullary phase is a valuable parameter. Furthermore, the heterogeneous enhancement pattern and degree of enhancement on the nephrographic phase can provide information for differentiating small renal masses.

Entities:  

Keywords:  Benign neoplasm; Computed tomography; Renal cell carcinoma

Year:  2012        PMID: 22468210      PMCID: PMC3312063          DOI: 10.4111/kju.2012.53.3.159

Source DB:  PubMed          Journal:  Korean J Urol        ISSN: 2005-6737


  22 in total

1.  High-resolution multidetector CT in the preoperative evaluation of patients with renal cell carcinoma.

Authors:  C Catalano; F Fraioli; A Laghi; A Napoli; F Pediconi; M Danti; P Nardis; R Passariello
Journal:  AJR Am J Roentgenol       Date:  2003-05       Impact factor: 3.959

2.  Multiphasic helical CT of the kidney: increased conspicuity for detection and characterization of small (< 3-cm) renal masses.

Authors:  D H Szolar; F Kammerhuber; S Altziebler; M Tillich; E Breinl; R Fotter; H H Schreyer
Journal:  Radiology       Date:  1997-01       Impact factor: 11.105

3.  Cancer statistics, 1999.

Authors:  S H Landis; T Murray; S Bolden; P A Wingo
Journal:  CA Cancer J Clin       Date:  1999 Jan-Feb       Impact factor: 508.702

Review 4.  Current concepts in the diagnosis and management of renal cell carcinoma: role of multidetector ct and three-dimensional CT.

Authors:  S Sheth; J C Scatarige; K M Horton; F M Corl; E K Fishman
Journal:  Radiographics       Date:  2001-10       Impact factor: 5.333

5.  Differentiation of oncocytoma and renal cell carcinoma in small renal masses (<4 cm): the role of 4-phase computerized tomography.

Authors:  Vincent G Bird; Prashanth Kanagarajah; Gaston Morillo; Daniel J Caruso; Rajinikanth Ayyathurai; Raymond Leveillee; Merce Jorda
Journal:  World J Urol       Date:  2010-08-18       Impact factor: 4.226

6.  Small renal oncocytomas: differentiation with multiphase CT.

Authors:  Georgios Gakis; Ulrich Kramer; David Schilling; Stephan Kruck; Arnulf Stenzl; Hans-Peter Schlemmer
Journal:  Eur J Radiol       Date:  2010-07-27       Impact factor: 3.528

7.  Detection of fat in a renal cell carcinoma mimicking angiomyolipoma.

Authors:  M Strotzer; K B Lehner; K Becker
Journal:  Radiology       Date:  1993-08       Impact factor: 11.105

8.  CT histogram analysis: differentiation of angiomyolipoma without visible fat from renal cell carcinoma at CT imaging.

Authors:  Ji Yeon Kim; Jeong Kon Kim; Namkug Kim; Kyoung-Sik Cho
Journal:  Radiology       Date:  2007-12-19       Impact factor: 11.105

9.  Renal oncocytoma: CT features cannot reliably distinguish oncocytoma from other renal neoplasms.

Authors:  S Choudhary; A Rajesh; N J Mayer; K A Mulcahy; A Haroon
Journal:  Clin Radiol       Date:  2009-03-09       Impact factor: 2.350

Review 10.  Histopathology of surgically managed renal tumors: analysis of a contemporary series.

Authors:  David A Duchene; Yair Lotan; Jeffrey A Cadeddu; Arthur I Sagalowsky; Kenneth S Koeneman
Journal:  Urology       Date:  2003-11       Impact factor: 2.649

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  3 in total

Review 1.  [Epidemiology and diagnostic assessment of small renal masses].

Authors:  B K Ziegelmüller; A Spek; B Szabados; J Casuscelli; D-A Clevert; M Staehler
Journal:  Urologe A       Date:  2018-03       Impact factor: 0.639

2.  CT texture analysis of renal masses: pilot study using random forest classification for prediction of pathology.

Authors:  Siva P Raman; Yifei Chen; James L Schroeder; Peng Huang; Elliot K Fishman
Journal:  Acad Radiol       Date:  2014-09-16       Impact factor: 3.173

3.  Small Renal Masses without Gross Fat: What Is the Role of Contrast-Enhanced MDCT?

Authors:  Gerta Repeckaite; Kristina Zviniene; Justina Jankauskiene; Algidas Basevicius; Daimantas Milonas
Journal:  Diagnostics (Basel)       Date:  2022-02-21
  3 in total

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