Article ; Online: Prognostic value of preoperative radiographic perinephric fat features in renal cell carcinoma patients undergoing surgery.
2024 Volume 47, Issue 5, Page(s) 2188–2194
Abstract: Background: We aimed to assess the prognostic importance of perinephric fat features in images of patients with non-metastatic renal cell carcinoma (RCC) undergoing surgery.: Methods: We enrolled RCC patients who underwent surgical treatment between ... ...
Abstract | Background: We aimed to assess the prognostic importance of perinephric fat features in images of patients with non-metastatic renal cell carcinoma (RCC) undergoing surgery. Methods: We enrolled RCC patients who underwent surgical treatment between 2011 and 2019. Two characteristics, including perinephric fat thickness and perinephric fat stranding, were evaluated using preoperative computed tomography or magnetic resonance images. The association between perinephric fat characteristics and disease progression was examined by Kaplan-Meier survival analysis and Cox regression model. Results: In a multivariate Cox proportional hazards model adjusting for tumor stage, intratumoral necrosis, and neutrophil-to-lymphocyte ratio, we found that patients in the thin perinephric fat group (<1 cm) had a poorer progression-free survival (PFS) compared to the thick perinephric fat group (≥1 cm) (HR 2.8; 95% CI 1.175-6.674, p = 0.02). Additionally, the fat stranding group had a poorer PFS than the non-stranding group (HR 3.852; 95% CI 1.082-13.704, p = 0.037). The non-stranding with thick perinephric fat group exhibits the highest cumulative PFS while the stranding with thin perinephric fat group has the lowest cumulative PFS. In receiver operating characteristic curve analysis, combing these two perinephric fat characteristics with tumor stage can achieve a better discriminatory power than tumor stage alone. Conclusions: Our study indicates that the evaluation of image-based perinephric fat features is a simple, straightforward, reproducible tool for predicting RCC prognosis and may assist in preoperative risk stratification. |
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MeSH term(s) | Humans ; Carcinoma, Renal Cell/surgery ; Carcinoma, Renal Cell/diagnostic imaging ; Carcinoma, Renal Cell/pathology ; Carcinoma, Renal Cell/mortality ; Kidney Neoplasms/surgery ; Kidney Neoplasms/diagnostic imaging ; Kidney Neoplasms/pathology ; Kidney Neoplasms/mortality ; Male ; Female ; Middle Aged ; Prognosis ; Tomography, X-Ray Computed ; Aged ; Magnetic Resonance Imaging ; Adipose Tissue/diagnostic imaging ; Preoperative Period ; Nephrectomy/methods ; Retrospective Studies ; Proportional Hazards Models ; Adult ; Kaplan-Meier Estimate |
Language | English |
Publishing date | 2024-02-21 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 1068461-x |
ISSN | 0219-3108 ; 1015-9584 |
ISSN (online) | 0219-3108 |
ISSN | 1015-9584 |
DOI | 10.1016/j.asjsur.2024.02.048 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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