Comparison of perinephric fat measurements between malignant and benign renal tumours. Issue 9 (September 2022)

• Record Type: Journal Article
• Authors: Tsai, Jui-Peng; Lin, Dao-Chen; Huang, Wei-Ming; Chen, Marcelo; Chen, Yi-Hsuan
• Is Part Of: Journal of international medical research. Volume 50:Issue 9(2022)
• Publication Date: 2022-09
• Subjects: Renal tumour -- perinephric fat -- prediction of malignancy -- Mayo adhesive probability -- body mass index -- computed tomography; Medicine -- Periodicals; Pharmacology -- Periodicals; 610.5
• DOI: 10.1177/03000605221125086
• Languages: English
• ISSNs: 0300-0605

Abstract

Objective: To investigate different parameters derived from the quantity and quality of perinephric fat, and to compare their effectiveness in predicting the malignant pathology of renal tumours. Methods: Data from patients diagnosed with renal tumour between April 2014 and December 2020 were retrospectively reviewed, and patients were categorized into malignant or benign tumour groups. Fat parameters, including perinephric fat volume (PFV), perinephric fat area (PFA), perinephric fat thickness (PFT), and Mayo adhesive probability (MAP) score were measured using abdominal computed tomography scans. Between-group differences were assessed by analysis of variance and χ 2 -test. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the performance of perinephric fat parameters in diagnosing malignancy. Results: A total of 109 patients were included. MAP score, PFV, PFA, and PFT were significantly increased in the malignant versus benign tumour group, and after correction for body mass index (BMI), the indexed PFV/BMI, PFA/BMI, and PFT/BMI values remained significantly higher in the malignant tumour group. All parameters showed fair predictivity of malignancy, with comparable area under the curve values in the ROC curve. Conclusion: An increased amount of perinephric fat is predictive of malignant pathology for renal tumours. The predictive accuracy for each perinephric fat parameter remained fair after correcting for BMI.