Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Three-dimensional Virtual Imaging to Improve the Accuracy of Standard CT-based Nephrometric Scores: a Prospective Multicentric Observational Study

San Luigi Gonzaga Hospital · 2019
ClinicalTrials.gov · Datasets · License: Public Domain · 2019
Open Source ↗
carcinomarenal-cell
STUDY DESIGN: prospective multicentric observational SAMPLE SIZE OF THE STUDY: The estimated number of patients to enroll in the multicenter study is at least 270 patients (statistically calculated referring to the results of a monocentric analysis including 101 patients with the same design, already performed by the Coordinator Center). NUMBER OF CENTERS INVOLVED: Considering a total number of patients enrolled of at least 270, number of Centers to be involved: 5. STUDY PROCEDURES: 3D virtual model rendering * CT-scan images sent in DICOM format to MEDICS (Turin, Italy) after anonymization. * Dedicated online platform available to upload the anonymized CT images, after registration. * CT imaging processing by bioengineers and 3DVM building within 72 hours * 3D-PDF download from the same online platform Nephrometric score assessment * All CT-scans and their 3DVMsevaluation in order to assess surgical complexity, as classified by the PADUA nephrometry score and its relative PADUA risk category. * For each Center: * assessment of the PADUA score on the basis of the CT-scans (2D-NS) by one urologist; * assessment of the PADUA score on the basis of the 3DVMs (3D-NS) by another urologist. Surgical intervention and pathological assessment * Dedicated expert surgeon for each Center performing NSS to all patients with the same surgical technique. * Dedicated uro-pathologist for each Center performing the histopathological evaluations of the specimens.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 995074
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive