Evidence map›Paper›PMID 24452640›Full record

ArticleAmerican journal of physiology. Renal physiology2014

Measurement of renal tissue oxygenation with blood oxygen level-dependent MRI and oxygen transit modeling.

Jeff L Zhang, Glen Morrell, Henry Rusinek, Lizette Warner, Pierre-Hugues Vivier, Alfred K Cheung, Lilach O Lerman, Vivian S Lee

Abstract readValidation Study
In one paragraph

Article in American journal of physiology. Renal physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Renal blood oxygenation level-dependent magnetic resonance imaging to measure renal tissue oxygenation: a statement paper and systematic review.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Magnetic resonance imaging of renal oxygenation.Nature reviews. Nephrology · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Challenges and new technologies in adoptive cell therapy.Journal of hematology & oncology · 2023
    Review
  11. Year in Review 2022: Noteworthy Literature in Cardiac Anesthesiology.Seminars in cardiothoracic and vascular anesthesia · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. MRI Mapping of the Blood Oxygenation Sensitive Parameter TMethods in molecular biology (Clifton, N.J.) · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. The role of oxidative stress and hypoxia in renal disease.Kidney research and clinical practice · 2019
    Review
  20. Article
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

8 authors at 5 institutions in 3 countries.

Jeff L ZhangSalt Lake City, UT, 84108. Lei.Zhang@hsc.utah.edu.
Glen Morrell
Henry Rusinek
Lizette Warner
Pierre-Hugues Vivier
Alfred K Cheung
Lilach O Lerman
Vivian S Lee
University of Utah · USMayo Clinic · USNew York University · USPhilips (United States) · USUniversité de Rouen Normandie · FR

Funding

Tissue Oxygenation in Human Renovascular HypertensionP01HL085307 · NHLBI · MAYO CLINIC ROCHESTER · PI ROMERO, JUAN C · 2007 to 2011
$10.4M
MR Angiography and Renography for Renovascular DiseaseR01DK063183 · NIDDK · UNIVERSITY OF UTAH · PI LEE, VIVIAN S. · 2003 to 2014
$5.5M
CT imaging for the assessment of kidney injury distal to renal artery stenosisR01DK073608 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O · 2006 to 2015
$3.1M
NHLBI NIH HHS P01-HL-085307NIDDK NIH HHS R01-DK-063183NIDDK NIH HHS R01 DK073608
6 · The paper itself

Abstract

Blood oxygen level-dependent (BOLD) MRI data of kidney, while indicative of tissue oxygenation level (Po2), is in fact influenced by multiple confounding factors, such as R2, perfusion, oxygen permeability, and hematocrit. We aim to explore the feasibility of extracting tissue Po2 from renal BOLD data. A method of two steps was proposed: first, a Monte Carlo simulation to estimate blood oxygen saturation (SHb) from BOLD signals, and second, an oxygen transit model to convert SHb to tissue Po2. The proposed method was calibrated and validated with 20 pigs (12 before and after furosemide injection) in which BOLD-derived tissue Po2 was compared with microprobe-measured values. The method was then applied to nine healthy human subjects (age: 25.7 ± 3.0 yr) in whom BOLD was performed before and after furosemide. For the 12 pigs before furosemide injection, the proposed model estimated renal tissue Po2 with errors of 2.3 ± 5.2 mmHg (5.8 ± 13.4%) in cortex and -0.1 ± 4.5 mmHg (1.7 ± 18.1%) in medulla, compared with microprobe measurements. After injection of furosemide, the estimation errors were 6.9 ± 3.9 mmHg (14.2 ± 8.4%) for cortex and 2.6 ± 4.0 mmHg (7.7 ± 11.5%) for medulla. In the human subjects, BOLD-derived medullary Po2 increased from 16.0 ± 4.9 mmHg (SHb: 31 ± 11%) at baseline to 26.2 ± 3.1 mmHg (SHb: 53 ± 6%) at 5 min after furosemide injection, while cortical Po2 did not change significantly at ∼58 mmHg (SHb: 92 ± 1%). Our proposed method, validated with a porcine model, appears promising for estimating tissue Po2 from renal BOLD MRI data in human subjects.

Indexed as

AdultAnimalsComputer SimulationFemaleFurosemideHemoglobinsHumansKidneyKidney CortexKidney MedullaMagnetic Resonance ImagingMaleMonte Carlo MethodOxygenPartial PressureSwineFurosemideHemoglobinsOxygenblood oxygen level-dependent MRIkidneymagnetic resonance imagingoxygen transit modelingtissue oxygenation level

Identifiers

PMID24452640
PMCPMC3949039
OpenAlexW2118802193

What OpenQuestion holds

Textmetadata
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.