Format

Send to

Choose Destination
Abdom Radiol (NY). 2019 Apr;44(4):1470-1480. doi: 10.1007/s00261-018-1848-x.

Juxtatumoral perinephric fat analysis in clear cell renal cell carcinoma.

Author information

1
Keck School of Medicine, University of Southern California, Radiology, Los Angeles, CA, 90033, USA.
2
Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Pathology, Los Angeles, CA, USA.
3
Keck School of Medicine, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
4
Keck School of Medicine, University of Southern California, Radiology, Los Angeles, CA, 90033, USA. vinay.duddalwar@med.usc.edu.

Abstract

PURPOSE:

The purpose of the study was to evaluate the feasibility of using contrast-enhanced computed tomography (CECT)-based texture analysis (CTTA) metrics to differentiate between juxtatumoral perinephric fat (JPF) surrounding low-grade (ISUP 1-2) versus high-grade (ISUP 3-4) clear cell renal cell carcinoma (ccRCC).

METHODS:

In this IRB-approved study, we retrospectively queried the surgical database between June 2009 and April 2016 and identified 83 patients with pathologically confirmed ccRCC (low grade: n = 54, mean age = 61.5 years, 18F/35M; high grade n = 30, mean age = 61.7 years, 8F/22M) who also had pre-operative multiphase CT acquisitions. CT images were transferred to a 3D workstation, and nephrographic phase JPF regions were manually segmented. Using an in-house developed Matlab program, a CTTA panel comprising of texture metrics extracted using six different methods, histogram, 2D- and 3D-Gray-level co-occurrence matrix (GLCM) and Gray-level difference matrix (GLDM), and 2D-Fast Fourier Transform (FFT) analyses, was applied to the segmented images to assess JPF textural heterogeneity in low- versus high-grade ccRCC. Univariate analysis and receiver-operator characteristics (ROC) analysis were used to assess interclass differences in texture metrics and their prediction accuracy, respectively.

RESULTS:

All methods except GLCM consistently revealed increased heterogeneity in the JPF surrounding high- versus low-grade ccRCC. FFT showed increased complexity index (p < 0.01). Histogram analysis showed increased kurtosis and positive skewness in (p < 0.03), and GLDM analysis showed decreased measure of correlation coefficient (MCC) (p < 0.04). Several of the GLCM metrics showed statistically significant (p < 0.04) textural differences between the two groups, but with no consistent trend. ROC analysis showed that MCC in GLCM analysis had an area under the curve of 0.75.

CONCLUSIONS:

Our study suggests that CTTA of ccRCC shows statistically significant textural differences in JPF surrounding high- versus low-grade ccRCC.

KEYWORDS:

CcRCC; Perinephric fat; Radiomics; Renal mass; Texture; Tumor grade

PMID:
30506142
DOI:
10.1007/s00261-018-1848-x

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center