Evidence map›Paper›PMID 34282957›Full record

ArticleAmerican journal of physiology. Renal physiology2021

Image analysis techniques to map pyramids, pyramid structure, glomerular distribution, and pathology in the intact human kidney from 3-D MRI.

Jennifer R Charlton, Yanzhe Xu, Neda Parvin, Teresa Wu, Fei Gao, Edwin J Baldelomar, Darya Morozov, Scott C Beeman, Jamal Derakhshan, Kevin M Bennett

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Are noninvasive measurements of nephron number achievable in humans?Current opinion in nephrology and hypertension · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Fewer medullary pyramids in the living kidney donor are associated with graft failure in the recipient.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  6. Review
  7. Article
  8. Chronic kidney disease in children: an update.Clinical kidney journal · 2023
    Review
  9. 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

10 authors at 3 institutions in 1 country.

Jennifer R CharltonDepartment of Pediatrics, University of Virginia Children's Hospital, Charlottesville, Virginia.
Yanzhe XuSchool of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona.
Neda ParvinMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
Teresa WuSchool of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona.
Fei GaoSchool of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona.
Edwin J BaldelomarMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
Darya MorozovMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
Scott C BeemanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona.
Jamal DerakhshanMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
Kevin M BennettMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0003-1706-4660
Washington University in St. Louis · USArizona State University · USUniversity of Virginia Children's Hospital · US

Funding

Washington University Institute of Clinical and Translational Sciences (TL1)TL1TR002344 · NCATS · WASHINGTON UNIVERSITY · PI Jay F. Piccirillo · 2017 to 2026
$8.5M
94 TESLA MR SCANNER FOR MURINE IMAGING: IMAGINGS10RR019911 · NCRR · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI BERR, STUART S · 2005 to 2005
$2.0M
Comprehensive MRI-based evaluation of human renal microstructureR01DK111861 · NIDDK · UNIVERSITY OF VIRGINIA · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2017 to 2020
$1.8M
Noninvasive MRI techniques to detect pathology in murine models of renal diseaseR01DK110622 · NIDDK · WASHINGTON UNIVERSITY · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2017 to 2019
$1.0M
Acute Renal Injury Sequelae in NICU Graduates (ARISING)U34DK117128 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AMBALAVANAN, NAMASIVAYAM, ASKENAZI, DAVID JOSEPH · 2019 to 2020
$754k
Translational imaging tools to nondestructively measure nephron massR41DK129138 · NIDDK · XN BIOTECHNOLOGIES, LLC · PI BENNETT, KEVIN M · 2021 to 2021
$300k
HHS | NIH | National Center for Advancing Translational Sciences (NCATS) TL1TR002344HHS | NIH | National Center for Research Resources (NCRR) S10RR019911NCATS NIH HHS TL1 TR002344NCRR NIH HHS S10 RR019911NIDDK NIH HHS R01 DK110622NIDDK NIH HHS R01 DK111861NIDDK NIH HHS R41 DK129138NIDDK NIH HHS U34 DK117128
6 · The paper itself

Abstract

Kidney pathologies are often highly heterogeneous. To comprehensively understand kidney structure and pathology, it is critical to develop tools to map tissue microstructure in the context of the whole, intact organ. Magnetic resonance imaging (MRI) can provide a unique, three-dimensional view of the kidney and allows for measurements of multiple pathological features. Here, we developed a platform to systematically render and map gross and microstructural features of the human kidney based on three-dimensional MRI. These features include pyramid number and morphology as well as the associated medulla and cortex. In a subset of these kidneys, we also mapped individual glomeruli and glomerular volumes using cationic ferritin-enhanced MRI to report intrarenal heterogeneity in glomerular density and size. Finally, we rendered and measured regions of nephron loss due to pathology and individual glomerular volumes in each pyramidal unit. This work provides new tools to comprehensively evaluate the kidney across scales, with potential applications in anatomic and physiological research, transplant allograft evaluation, biomarker development, biopsy guidance, and therapeutic monitoring. These image rendering and analysis tools could eventually impact the field of transplantation medicine to improve longevity matching of donor allografts and recipients and reduce discard rates through the direct assessment of donor kidneys.

Indexed as

Image Processing, Computer-AssistedFerritinsHumansKidneyKidney DiseasesKidney GlomerulusMagnetic Resonance ImagingNephronsUrinary TractFerritinspolycationic ferritincationic ferritin-enhanced magnetic resonance imagingglomerular densityglomerular numberglomerular sizeheterogeneity

Identifiers

PMID34282957
PMCPMC8530750
OpenAlexW3185618569

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.