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

The Study on the Effectiveness of [68Ga]Ga-HBED-CC-DiAsp PET/CT in Calculating GFR and Predicting Residual Renal Function After Partial Nephrectomy

Luo Yaping · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
glomerular-filtration-ratenapet-ct
In subjects with different levels of renal function and no history of renal tumors, GFR is measured using \[68Ga\]Ga-HBED-CC-DiAsp PET/CT, the Gates method, and the 99mTc-DTPA dual plasma method. The consistency between the three methods is analyzed using intra-class correlation coefficient (ICC), concordance correlation coefficient (CCC), and Bland-Altman analysis. In patients scheduled for partial nephrectomy due to renal tumors, GFR is measured using the three methods within 2 weeks before surgery and 4±1 weeks post-surgery. The percentage of postoperative residual renal function (postoperative GFR/preoperative GFR × 100%, hereafter referred to as RRF%) is calculated for each method. By comparing and overlaying preoperative and postoperative PET/CT images, the resected renal area can be delineated on the preoperative PET/CT image. Based on the preoperative PET/CT and the delineated surgical area, a predictive value for postoperative GFR is calculated to obtain the predicted RRF%. A consistency analysis is then performed between the predicted RRF% and the actual RRF% measured by the three methods, using ICC, CCC, and Bland-Altman analysis to evaluate the efficacy of \[68Ga\]Ga-HBED-CC-DiAsp PET/CT in predicting residual renal function after partial nephrectomy.
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 831034
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