Evidence map›Paper›PMID 31291361›Full record

Observational studyPloS one2019

A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography.

Kai Jiang, Christopher M Ferguson, Abdelrhman Abumoawad, Ahmed Saad, Stephen C Textor, Lilach O Lerman

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  3. Patterns of cortical oxygenation may predict the response to stenting in subjects with renal artery stenosis: A radiomics-based model.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
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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

6 authors at 1 institution in 1 country.

Kai JiangDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.
Christopher M FergusonDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.
Abdelrhman AbumoawadDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.
Ahmed SaadDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.
Stephen C TextorDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.
Lilach O LermanDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID 0000-0002-3271-3887
Mayo Clinic · US

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Hypoxia and inflammatory injury in human renovascular hypertensionR01DK100081 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O, TEXTOR, STEPHEN C · 2014 to 2018
$2.8M
NCATS NIH HHS UL1 TR000135NCATS NIH HHS UL1 TR002377NIDDK NIH HHS R01 DK100081
6 · The paper itself

Abstract

objectivesTo validate and adapt a modified two-compartment model, originally developed for magnetic resonance imaging, for measuring human single-kidney glomerular filtration rate (GFR) and perfusion using dynamic contrast-enhanced computed tomography (DCE-CT).

methodsThis prospective study was approved by the institutional review board, and written informed consent was obtained from all patients. Thirty-eight patients with essential hypertension (EH, n = 13) or atherosclerotic renal artery stenosis (ARAS, n = 25) underwent renal DCE-CT for GFR and perfusion measurement using a modified two-compartment model. Iothalamate clearance was used to measure reference total GFR, which was apportioned into single-kidney GFR by renal blood flow. Renal perfusion was also calculated using a conventional deconvolution algorithm. Validation of GFR and perfusion and inter-observer reproducibility, were conducted by using the Pearson correlation and Bland-Altman analysis.

resultsBoth the two-compartment model and iothalamate clearance detected in ARAS patients lower GFR in the stenotic compared to the contralateral and EH kidneys. GFRs measured by DCE-CT and iothalamate clearance showed a close match (r = 0.94, P<0.001, and mean difference 2.5±12.2mL/min). Inter-observer bias and variation in model-derived GFR (r = 0.97, P<0.001; mean difference, 0.3±7.7mL/min) were minimal. Renal perfusion by deconvolution agreed well with that by the compartment model when the blood transit delay from abdominal aorta to kidney was negligible.

conclusionThe proposed two-compartment model faithfully depicts contrast dynamics using DCE-CT and may provide a reliable tool for measuring human single-kidney GFR and perfusion.

Indexed as

Models, BiologicalAgedAtherosclerosisContrast MediaEssential HypertensionFemaleGlomerular Filtration RateHumansImage Processing, Computer-AssistedKidneyMaleMiddle AgedProspective StudiesRenal Artery ObstructionRenal CirculationReproducibility of ResultsContrast Media

Identifiers

PMID31291361
PMCPMC6619810
OpenAlexW2958191791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.