Evidence map›Paper›PMID 42875613›Full record

ArticleInsights into imaging2026

Estimation of glomerular filtration rate by standard renal CT imaging.

Kristoffer Huitfeldt Sola, Helena Genberg, Joshua Webster-Ford, Anders Ullén, Torkel B Brismar

Abstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kristoffer Huitfeldt SolaDivision of Radiology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-9278-3326
Helena GenbergDepartment of Transplantation Surgery, Karolinska University Hospital, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7851-1941
Joshua Webster-FordDivision of Radiology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0009-0000-0679-0910
Anders UllénDepartment of Pelvic Cancer, Genitourinary Oncology Division, Karolinska University Hospital, Stockholm, Sweden.
Torkel B BrismarDepartment of Radiology, Karolinska University Hospital, Stockholm, Sweden. torkel.brismar@ki.se.ORCID http://orcid.org/0000-0002-3409-1938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop and evaluate a method to predict glomerular filtration rate (GFR) from clinical renal CT. MATERIALS AND

methodsMedical 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

resultsIn 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

conclusionRenal 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.

Indexed as

Artificial intelligenceGlomerular filtration rateImage processing, computer-assistedKidneyTomography, X-ray computed

Identifiers

PMID42875613
PMCPMC13669286

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.