Multimodal Prediction of Postoperative Prognosis After Partial Nephrectomy for Endophytic Renal Cell Carcinoma

This retrospective observational cohort study aims to develop and externally validate an imaging-clinical multimodal fusion model for predicting postoperative prognosis in patients with endophytic renal cell carcinoma undergoing partial nephrectomy. Preoperative computed tomography imaging features, three-dimensional reconstruction-derived tumor characteristics, radiomics features, and clinical variables will be integrated using machine learning and deep learning approaches. The primary objective is to evaluate whether the multimodal model improves prediction of postoperative prognostic outcomes compared with single-modality models based on clinical or imaging features alone.

This description comes directly from the study's public registry record.

No contact information is available for this study as per the public registry record.

Always discuss trial participation with your own doctor first.

Save your interest here for when the public record changes — results posted, or the study's status changes. Email alerts for this study aren't switched on yet.

We keep this only about this public record, and never email you without alerts being switched on. Want it removed at any time? Email hello@eichor.com. Never medical advice. By subscribing you agree to our Terms of Use and Privacy Policy.