Evidence map›Paper›PMID 42436764›Full record

ArticleTranslational andrology and urology2026

A contrast-enhanced ultrasound-based nomogram for preoperative prediction of pseudocapsule status in localized clear cell renal cell carcinoma: a retrospective study.

Ji Ma, Zhen Fang Wang, Fang Li, Jing Chen, Rong Wu

Abstract read
In one paragraph

Article in Translational andrology and urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ji MaDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.ORCID https://orcid.org/0009-0008-1770-7690
Zhen Fang WangDepartment of Pathology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-1480-147X
Fang LiDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jing ChenDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rong WuDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pseudocapsule (PC) status of clear cell renal cell carcinoma (ccRCC) is closely associated with tumor aggressiveness and surgical strategy, yet accurate preoperative non-invasive assessment remains challenging. This study aimed to develop and internally validate a contrast-enhanced ultrasound (CEUS)-based prediction model for assessing PC status in patients with ccRCC. Methods: This retrospective study enrolled 254 patients with pathologically confirmed ccRCC who underwent surgery at Shanghai General Hospital, between August 2021 and December 2024. All patients received preoperative conventional ultrasound and CEUS examinations. Independent risk factors for PC absence or penetration were identified using multivariable binary logistic regression analysis. These factors were then incorporated into a nomogram to construct a predictive model. The model's discriminatory performance was assessed by the area under the receiver operating characteristic (ROC) curve (AUC). Internal validation was performed using bootstrap resampling to generate calibration curves and evaluate goodness-of-fit via the Hosmer-Lemeshow test. Finally, the clinical utility of the nomogram was determined using decision curve analysis (DCA). Results: Three CEUS features-incomplete PC sign, peak hypoenhancement, and rapid washout pattern-were independent predictors in the final model. The nomogram showed acceptable discrimination [training AUC: 0.779, 95% confidence interval (CI): 0.692-0.867; validation AUC: 0.749, 95% CI: 0.600-0.898] and calibration (Hosmer-Lemeshow P>0.05). DCA supported its potential clinical utility. Conclusions: In conclusion, a CEUS-based nomogram was developed and internally validated to preoperatively predict PC status in ccRCC. This practical, non-invasive tool can guide and optimize surgical planning.

Indexed as

clear cell renal cell carcinoma (ccRCC)Contrast enhanced ultrasound (CEUS)pseudocapsule (PC)

Identifiers

PMID42436764
PMCPMC13355259

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