SynthesisWorld journal of urology2026
Diagnostic performance of radiomics for detecting and characterising upper tract urothelial carcinoma (UTUC): a systematic review.
Synthesis in World journal of urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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6 authors.
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Abstract
purposeUpper tract urothelial carcinoma (UTUC) is a rare but aggressive malignancy where accurate preoperative assessment of tumour grade and stage is essential to guide treatment. Conventional tools such as ureteroscopic biopsy have limited accuracy and procedural risks. This systematic review evaluated the diagnostic and prognostic performance of radiomics models for predicting grade, stage, histotype, muscle invasion, and outcomes in UTUC.
methodsFollowing PRISMA guidelines (PROSPERO Registration ID: CRD420251141966), PubMed, EMBASE, CENTRAL, and grey literature were searched up to 6 September 2025. Eligible studies included radiomics-based analyses in adults with UTUC. Extracted performance metrics (AUC, sensitivity, specificity) were summarised as medians with ranges.
resultsTwelve studies (n = 1,685) were included, encompassing 45 distinct radiomics models: 20 for grade, 11 for stage, 10 prognostic, three histotype, and one for muscle invasion. Models predicting high-grade disease demonstrated excellent performance (median AUC 0.876, range 0.675–0.961; sensitivity 0.838; specificity 0.806). Prognostic models achieved a median AUC of 0.854 (range 0.750–0.933) and sensitivity of 0.909, effectively predicting recurrence-free and overall survival. Stage prediction models yielded a median AUC of 0.771 (range 0.711–0.860), while histotype models reported a median AUC of 0.84. The single study assessing muscle invasion achieved an AUC of 0.821. Most studies used CT-based radiomics with machine-learning classifiers, though validation methods and feature selection strategies were heterogeneous.
conclusionRadiomics demonstrates high diagnostic and prognostic accuracy in UTUC, particularly for tumour grade and survival prediction. These findings support its potential as a non-invasive adjunct for risk stratification and surgical planning, though standardised multicentre validation is required before clinical adoption.
trial registrationThe trial was prospectively registered on PROSPERO on 07/09/2025 under ID: CRD420251141966.
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