Estimation of glomerular filtration rate by standard renal CT imaging

Abstract Objectives To develop and evaluate a method to predict glomerular filtration rate (GFR) from clinical renal CT. Materials and methods Medical records of adult living kidney donors operated between 2013 and 2022 and patients considered for neoadjuvant cisplatin prior to cystectomy between 2019 and 2024 were retrospectively reviewed. Inclusion criteria were (1) renal CT obtained at 100 or 120 kVp before and 5–15 min after contrast administration, and (2) iohexol clearance test within 2 months of imaging. The iohexol clearance test was performed on the same day as the cystatin C and creatinine measurements. Estimated GFR values included cystatin C–based eGFR (eGFR cystatin C ), creatinine-based eGFR using the Cockcroft–Gault formula (eGFR Cockcroft-Gault ), and eGFR using the Revised Lund–Malmö formula (eGFR LMR18 ), which is based on both creatinine and cystatin C. Manual and automatic segmentations of the renal pelvis and bladder were performed in both the excretory and unenhanced phases. Results In total, 139 patients were included in the analysis (mean age 52 ± 13 years; 60% women). Multivariate linear regression analysis combining the segmentation-derived variable with body surface area and age gave an adjusted R-square of 0.77 to mGFR iohexol ( p < 0.001). GFR CT had the strongest relationship to mGFR iohexol with a mean absolute error of 12.8 mL/min, compared with 15.6 mL/min for eGFR Cockcroft-Gault , 14.2 mL/min for eGFR cystatin C , and 13.0 mL/min for eGFR LMR18 . Manual and automatic segmentations had similar performance. Patients evaluated for cisplatin treatment had greater variation in CT-estimated split renal function than donors. Conclusion Renal function can be estimated with high precision from clinical renal CT. Key Points Question Accurate GFR assessment is critical, but current methods are either labor-intensive or imprecise. Can renal CT imaging provide a reliable alternative? Findings CT-derived eGFR showed the strongest correlation with iohexol clearance (R² = 0.77), with lower error compared to creatinine- and cystatin C–based estimates. Critical relevance statement Routine CT imaging can provide precise estimates of kidney function, supporting donor evaluations, chemotherapy dosing, and critical care decisions when accurate renal function is essential.

Authors

Institutions

Publication Details

Journal
Insights into Imaging
Published
2026-10-14
DOI
https://doi.org/10.1186/s13244-026-02431-0
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of glomerular filtration rate by standard renal CT imaging

Torkel B. Brismar, Helena Genberg, Anders Ullén, Kristoffer N.D. Huitfeldt Sola et al.
Insights into Imaging
Chronic Kidney Disease and Diabetes
article

Estimation of glomerular filtration rate by standard renal CT imaging

Torkel B. Brismar, Helena Genberg, Anders Ullén, Kristoffer N.D. Huitfeldt Sola, Joshua Webster-Ford
article en

Abstract

Abstract Objectives To develop and evaluate a method to predict glomerular filtration rate (GFR) from clinical renal CT. Materials and methods Medical records of adult living kidney donors operated between 2013 and 2022 and patients considered for neoadjuvant cisplatin prior to cystectomy between 2019 and 2024 were retrospectively reviewed. Inclusion criteria were (1) renal CT obtained at 100 or 120 kVp before and 5–15 min after contrast administration, and (2) iohexol clearance test within 2 months of imaging. The iohexol clearance test was performed on the same day as the cystatin C and creatinine measurements. Estimated GFR values included cystatin C–based eGFR (eGFR cystatin C ), creatinine-based eGFR using the Cockcroft–Gault formula (eGFR Cockcroft-Gault ), and eGFR using the Revised Lund–Malmö formula (eGFR LMR18 ), which is based on both creatinine and cystatin C. Manual and automatic segmentations of the renal pelvis and bladder were performed in both the excretory and unenhanced phases. Results In total, 139 patients were included in the analysis (mean age 52 ± 13 years; 60% women). Multivariate linear regression analysis combining the segmentation-derived variable with body surface area and age gave an adjusted R-square of 0.77 to mGFR iohexol ( p < 0.001). GFR CT had the strongest relationship to mGFR iohexol with a mean absolute error of 12.8 mL/min, compared with 15.6 mL/min for eGFR Cockcroft-Gault , 14.2 mL/min for eGFR cystatin C , and 13.0 mL/min for eGFR LMR18 . Manual and automatic segmentations had similar performance. Patients evaluated for cisplatin treatment had greater variation in CT-estimated split renal function than donors. Conclusion Renal function can be estimated with high precision from clinical renal CT. Key Points Question Accurate GFR assessment is critical, but current methods are either labor-intensive or imprecise. Can renal CT imaging provide a reliable alternative? Findings CT-derived eGFR showed the strongest correlation with iohexol clearance (R² = 0.77), with lower error compared to creatinine- and cystatin C–based estimates. Critical relevance statement Routine CT imaging can provide precise estimates of kidney function, supporting donor evaluations, chemotherapy dosing, and critical care decisions when accurate renal function is essential.

Insights into ImagingVol. 17(1)
Karolinska University Hospital (SE), Karolinska Institutet (SE)
Openalex Percentile: Top 12%
Chronic Kidney Disease and Diabetes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.