Clinical trial · Observational
The CT-based Deep Learning Model Predicts Complications in Partial Nephrectomy
The CT-based Deep Learning Model Outperforms Traditional Anatomical Classification Models in Preoperatively Predicting Complications and Risk Grade in Partial Nephrectomy
NCT06876584CI-TRIAL-00087214completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The investigators combine radiomics and deep learning to analyze the lesions more thoroughly, aiming for a more accurate prediction of complications in partial nephrectomy, and compare this approach with traditional models.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Renal Cell Carcinoma (RCC) | Renal Cell Carcinoma | CURATED_BROADER | 0.80 |
| Renal Cyst | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (2)
- label
- Complication 1
- description
- Patients who experienced perioperative complications during the partial nephrectomy
- label
- Complication 0
- description
- Patients who didn't experience perioperative complications during the partial nephrectomy
Primary outcomes (1)
- measure
- whether complications occurred
- timeFrame
- perioperatively
- description
- Retrospectively review the medical record system to determine whether patients developed postoperative complications.
Secondary outcomes (1)
- measure
- Patients' risk grade
- timeFrame
- perioperatively
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Clinical diagnosis of renal cell carcinoma or renal cyst * Underwent partial nephrectomy between June 2014 and July 2024 Exclusion Criteria: * Missing or unavailable imaging data * No available enhanced CT images
References
Publications (0)
Data not yet available
No reference posted for this study.