Evidence map›Paper›PMID 27081161›Full record

ArticlePhysiological reports2016

Measurement of glomerular filtration rate by dynamic contrast-enhanced magnetic resonance imaging using a subject-specific two-compartment model.

Aaryani Tipirneni-Sajja, Ralf B Loeffler, Niels Oesingmann, John Bissler, Ruitian Song, Beth McCarville, Deborah P Jones, Melissa Hudson, Sheri L Spunt, Claudia M Hillenbrand

Open access · goldAbstract readComparative Study
In one paragraph

Article in Physiological reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Aaryani Tipirneni-SajjaDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee Department of Biomedical Engineering, University of Memphis, Memphis, Tennessee.
Ralf B LoefflerDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee.
Niels OesingmannSiemens Medical Solutions, New York, New York.
John BisslerDivision of Nephrology, St. Jude Children's Research Hospital, Memphis, Tennessee Department of Pediatric Nephrology, Le Bonheur Children's Hospital, Memphis, Tennessee.
Ruitian SongDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee.
Beth McCarvilleDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee.
Deborah P JonesDepartment of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee.
Melissa HudsonDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee.
Sheri L SpuntDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Claudia M HillenbrandDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee claudia.hillenbrand@stjude.org.
St. Jude Children's Research Hospital · USSiemens (United States) · USStanford University · USUniversity of Memphis · USVanderbilt University · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE J. BAKER · 1985 to 2026
$166.9M
The St. Jude Lifetime CohortU01CA195547 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HUDSON, MELISSA M, NESS, KIRSTEN KIMBERLIE · 2015 to 2024
$14.9M
NCI NIH HHS CA 21765NCI NIH HHS U01CA195547-01
6 · The paper itself

Abstract

Measuring glomerular filtration rate (GFR) by dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) as part of standard of care clinicalMRIexams (e.g., in pediatric solid tumor patients) has the potential to reduce diagnostic burden. However, enthusiasm for this relatively newGFRtest may be curbed by the limited amount of cross-calibration studies with referenceGFRtechniques and the vast variety ofMRtracer model algorithms causing confusion on the choice of model. To advanceMRI-basedGFRquantification via improvedGFRmodeling and comparison with associated(99m)Tc-DTPA-GFR, 29 long-term Wilms' tumor survivors (19.0-43.3 years, [median 32.0 ± 6.0 years]) treated with nephrectomy, nonnephrotoxic chemotherapy ± radiotherapy underwentMRIwith Gd-DTPAadministration and a(99m)Tc-DTPA GFRtest. ForDCE-MRI-basedGFRestimation, a subject-specific two-compartment (SS-2C) model was developed that uses individual hematocrit values, automatically defines subject-specific uptake intervals, and fits tracer-uptake curves by incorporating these measures. The association between reference(99m)Tc-DTPA GFRandMR-GFRs obtained bySS-2C, three published 2C uptake, and inflow-outflow models was investigated via linear regression analysis. Uptake intervals varied from 64 sec to 141 sec [96 sec ± 21 sec] and hematocrit values ranged from 30% to 49% [41% ± 4%]; these parameters can therefore not be assumed as constants in 2C modeling. OurMR-GFRestimates using theSS-2C model showed accordingly the highest correlation with(99m)Tc-DTPA-GFRs (R(2) = 0.76,P < 0.001) compared with other models (R(2)-range: 0.36-0.66). In conclusion,SS-2C modeling ofDCE-MRIdata improved the association betweenGFRobtained by(99m)Tc-DTPAand Gd-DTPA DCE-MRIto such a degree that this approach could turn into a viable, diagnosticGFRassay without radiation exposure to the patient.

Indexed as

Glomerular Filtration RateMagnetic Resonance ImagingModels, BiologicalAdultBiomarkersChemoradiotherapy, AdjuvantChemotherapy, AdjuvantContrast MediaCreatinineFemaleGadolinium DTPAHematocritHumansKidneyLinear ModelsMaleBiomarkersContrast MediaCreatinineGadolinium DTPARadiopharmaceuticalsTechnetium Tc 99m PentetateGlomerular filtration ratekidneyMRItracerWilms' tumor

Identifiers

PMID27081161
PMCPMC4831325
OpenAlexW2339016435

What OpenQuestion holds

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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.