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

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

Research output: Contribution to journalArticle

21 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)872-876
Number of pages5
JournalUrology
Volume80
Issue number4
DOIs
Publication statusPublished - 2012 Oct 1

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Renal Cell Carcinoma
Histology
Magnetic Resonance Imaging
Kidney
Small Cell Carcinoma
Sensitivity and Specificity
ROC Curve
Ultrasonography
Neoplasms
Tomography

ASJC Scopus subject areas

  • Urology

Cite this

Predicting the histology of small renal masses using preoperative dynamic contrast-enhanced magnetic resonance imaging. / Kim, Jae Heon; Bae, Jae Hyun; Lee, Kwang Woo; Kim, Min Eui; Park, Seong Jin; Park, Jae Young.

In: Urology, Vol. 80, No. 4, 01.10.2012, p. 872-876.

Research output: Contribution to journalArticle

Kim, Jae Heon ; Bae, Jae Hyun ; Lee, Kwang Woo ; Kim, Min Eui ; Park, Seong Jin ; Park, Jae Young. / Predicting the histology of small renal masses using preoperative dynamic contrast-enhanced magnetic resonance imaging. In: Urology. 2012 ; Vol. 80, No. 4. pp. 872-876.
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