Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT


Condition: Carcinoma, Renal Cell, Diagnostic Imaging, Pathology, Deep Learning

Study Type: Observational

Clinical Trials Identifier NCT 8-digits: NCT07166445

Sponsor: Peking University First Hospital

Phase:

Eligibility:

  • Age: minimum 18 Years maximum 85 Years
  • Gender: All

Inclusion Criteria:

  1. Histopathologically confirmed renal cell carcinoma on postoperative specimen.
  2. Preoperative contrast-enhanced CT performed at our institution with slice thickness ≤ 1 mm and complete DICOM datasets.
  3. Postoperative pathologic staging clearly defined as pT1a-T2b or pT3a.
  4. CT image quality deemed adequate for analysis.

Exclusion Criteria:

  • 1. Pathologic subtype other than RCC. 2. Images with severe artifacts.

View trial on ClinicalTrials.gov