Literature DB >> 22854134

Predicting the histology of small renal masses using preoperative dynamic contrast-enhanced magnetic resonance imaging.

Jae Heon Kim1, Jae Hyun Bae, Kwang Woo Lee, Min Eui Kim, Seong Jin Park, Jae Young Park.   

Abstract

OBJECTIVE: To study whether magnetic resonance imaging can predict the histologic type of small renal cell carcinoma.
METHODS: Dynamic contrast-enhanced magnetic resonance imaging was performed in 63 patients with computed tomography- or ultrasonography-suspected small (≤ 4 cm) renal cell carcinoma from February 2008 to February 2010. Percentage signal intensity change, tumor-to-cortex enhancement index during precontrast phase, corticomedullary phase, and nephrogenic phase were investigated.
RESULTS: Among the 60 patients, 42 were proven to have clear cell renal cell carcinoma and 18 patients were proven to have non-clear cell renal cell carcinoma (10 patients with papillary renal cell carcinoma, 8 patients with chromophobe renal cell carcinoma). The percentage signal intensity change in the clear cell type was higher only in the corticomedullary phase (P = .002). The tumor-to-cortex enhancement index in the clear cell type was higher in the corticomedullary and nephrogenic phases (P = .007 and P = .041, respectively). The most valuable marker was percentage signal intensity change in the corticomedullary phase (area under the receiver operating characteristic curve 0.85). The cut-off value of percentage signal intensity change in the corticomedullary phase was 173%, and the sensitivity and specificity were 81% and 87.5%, respectively.
CONCLUSION: Dynamic contrast-enhanced magnetic resonance imaging could be useful for discriminating the clear cell type from non-clear cell type in small renal cell carcinoma with high sensitivity and specificity.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22854134     DOI: 10.1016/j.urology.2012.06.001

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  11 in total

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