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Objectives <p>To evaluate and validate clinical and imaging predictors of spontaneous rupture and hemorrhage (SRH) in renal cell carcinoma (RCC), and to develop an individualized risk prediction nomogram.</p> Methods <p>A cohort of 914 RCC patients was analyzed. Clinical and imaging characteristics were compared between SRH and non-SRH groups, with baseline characteristics balanced using propensity score matching. Univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed to identify SRH risk factors. A predictive nomogram was constructed and internally validated.</p> Results <p>After matching, baseline characteristics were comparable. Protective factors against SRH included posterior perirenal fat thickness (HR<sub>1 − 1.9&#xa0;cm</sub>=0.25,HR<sub>≥ 2&#xa0;cm</sub>=0.12) and solid tumor (HR = 0.48). Conversely, perinephric fat stranding (HR<sub>Type1</sub>=2.68, HR<sub>Type2</sub>=5.13) and the renal tumor vascular-to-renal artery diameter ratio (HR = 15.08) were identified as significant risk factors. ROC analysis showed AUCs of 0.70 for perirenal fat thickness, 0.61 for the diameter ratio, and 0.80 for the SRH prediction model. The nomogram demonstrated moderate discrimination, acceptable calibration, and clinical utility. Patients with fumarate hydratase deficiency exhibited characteristic CT findings of cystic-solid tumors, reduced perirenal fat thickness, and an increased tumor diameter ratio.</p> Conclusions <p>Perinephric fat stranding and the renal tumor vascular-to-renal artery diameter ratio are significant risk factors for SRH in RCC, while perirenal fat thickness and solid tumors are protective. Patients with fumarate hydratase deficiency are at increased SRH risk and require special clinical attention. The developed nomogram may assist in individualized risk assessment and clinical decision-making.</p>

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Novel risk predictor of spontaneous rupture and hemorrhage of renal cell carcinoma based on clinical and radiographic characteristics

  • 期刊论文

  • 发表日期：

    2025年7月17日

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  • Bin Lin,
  • Xiao-Dong Li,
  • Meng-Xin Liu,
  • Yu-Ting Xue,
  • Xu-Yun Huang,
  • Zhi-Bin Ke,
  • Jia-Yin Chen,
  • Fei Lin,
  • Qing-Shui Zheng,
  • Yong Wei,
  • Xue-Yi Xue,
  • Shao-Hao Chen,
  • Ning Xu

摘要

Objectives

To evaluate and validate clinical and imaging predictors of spontaneous rupture and hemorrhage (SRH) in renal cell carcinoma (RCC), and to develop an individualized risk prediction nomogram.

Methods

A cohort of 914 RCC patients was analyzed. Clinical and imaging characteristics were compared between SRH and non-SRH groups, with baseline characteristics balanced using propensity score matching. Univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed to identify SRH risk factors. A predictive nomogram was constructed and internally validated.

Results

After matching, baseline characteristics were comparable. Protective factors against SRH included posterior perirenal fat thickness (HR1 − 1.9 cm=0.25,HR≥ 2 cm=0.12) and solid tumor (HR = 0.48). Conversely, perinephric fat stranding (HRType1=2.68, HRType2=5.13) and the renal tumor vascular-to-renal artery diameter ratio (HR = 15.08) were identified as significant risk factors. ROC analysis showed AUCs of 0.70 for perirenal fat thickness, 0.61 for the diameter ratio, and 0.80 for the SRH prediction model. The nomogram demonstrated moderate discrimination, acceptable calibration, and clinical utility. Patients with fumarate hydratase deficiency exhibited characteristic CT findings of cystic-solid tumors, reduced perirenal fat thickness, and an increased tumor diameter ratio.

Conclusions

Perinephric fat stranding and the renal tumor vascular-to-renal artery diameter ratio are significant risk factors for SRH in RCC, while perirenal fat thickness and solid tumors are protective. Patients with fumarate hydratase deficiency are at increased SRH risk and require special clinical attention. The developed nomogram may assist in individualized risk assessment and clinical decision-making.