MRI texture analysis and identification of clear cell renal cell carcinoma and renal oncocytoma

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WU Guohua LIU Haijing WANG Likun

Cite this article as: Wu GH, Liu HJ, Wang LK. MRI texture analysis and identification of clear cell renal cell carcinoma and renal oncocytoma[J]. Chin J Magn Reson Imaging, 2021, 12(5): 77-80. DOI:10.12015/issn.1674-8034.2021.05.017.

Abstract

[Abstract] Objective To explore the identification value of magnetic resonance imaging (MRI) texture analysis in clear-cell renal cell carcinoma (ccRCC) and renal oncocytoma (RO). Materials andMethods The data of 42 ccRCC patients (ccRCC group) and 15 RO patients (RO group) who were admitted to the hospital from May 2012 to November 2019 were retrospectively analyzed. After patients underwent routine MRI scan and enhanced scan, texture scan analysis was conducted. The selection frequency of three-dimensional texture features was identified by ccRCC and RO. The diagnostic efficiency of ccRCC and RO was identified by MRI texture analysis. COM texture parameters were compared between ccRCC and RO patients. The identification value of COM texture parameters in ccRCC and RO patients was analyzed.Results The texture features screened by ccRCC and RO identification were mostly from the co-occurrence matrix (COM). In the identification of ccRCC and RO, interlayer texture features screened by renal parenchymal enhancement T1 weighted imaging (T1WI) sequence were the most. By nonlinear discriminant analysis, the diagnostic efficiency of MRI texture analysis for identifying ccRCC and RO in terms of enhancement texture features during renal parenchymal stage was the best, its diagnostic sensitivity, specificity and accuracy were 92.86%, 73.33% and 87.72%, respectively. T1WI enhancement COM texture parameters such as entropy, homogeneity and correlation in ccRCC group were significantly lower than those in RO patients (P＜0.05), while there had no significant difference in the contrast and energy (P＞0.05). The receiver operating characteristic (ROC) curve analysis showed that the area under curve (AUC) values of COM texture parameters such as entropy, homogeneity and correlation for identifying ccRCC and RO patients were 0.883, 0.752 and 0.806, respectively. The value of entropy for identifying ccRCC and RO was the best, its sensitivity and specificity were 88.5% and 83.6%, respectively.Conclusions MRI texture analysis, especially COM, can effectively identify ccRCC and RO.

[Keywords] kidney；clear-cell renal cell carcinoma；renal oncocytoma；magnetic resonance imaging；texture analysis

Contributor Information

WU Guohua^* LIU Haijing WANG Likun

CT Room, Handan Central Hospital of Hebei Province, Handan 056001, China

Wu GH, E-mail: wuguohua0704@163.com

Conflicts of interest None.

Publication Information

Received 2020-11-25

Accepted 2021-03-25

DOI: 10.12015/issn.1674-8034.2021.05.017

Text

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