Evidence map›Paper›PMID 32298239›Full record

ArticleJCI insight2020

Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality.

Eno Hysi, Xiaolin He, Muhannad N Fadhel, Tianzhou Zhang, Adriana Krizova, Michael Ordon, Monica Farcas, Kenneth T Pace, Victoria Mintsopoulos, Warren L Lee and 2 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  4. Journal of biomedical optics · 2026
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  6. Label-free viability assessment ofBiomedical optics express · 2026
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  10. Guided Multispectral Optoacoustic Tomography for 3D Imaging of the Murine Colon.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
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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

12 authors at 1 institution in 3 countries.

Eno HysiDepartment of Physics, Ryerson University, Toronto, Canada.
Xiaolin HeInstitute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada.
Muhannad N FadhelDepartment of Physics, Ryerson University, Toronto, Canada.
Tianzhou ZhangDivision of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.
Adriana KrizovaKeenan Research Centre for Biomedical Science and.
Michael OrdonKeenan Research Centre for Biomedical Science and.
Monica FarcasKeenan Research Centre for Biomedical Science and.
Kenneth T PaceKeenan Research Centre for Biomedical Science and.
Victoria MintsopoulosKeenan Research Centre for Biomedical Science and.
Warren L LeeKeenan Research Centre for Biomedical Science and.
Michael C KoliosDepartment of Physics, Ryerson University, Toronto, Canada.
Darren A YuenInstitute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada.
St. Michael's Hospital · CA

Funding

CIHR
6 · The paper itself

Abstract

Roughly 10% of the world's population has chronic kidney disease (CKD). In its advanced stages, CKD greatly increases the risk of hospitalization and death. Although kidney transplantation has revolutionized the care of advanced CKD, clinicians have limited ways of assessing donor kidney quality. Thus, optimal donor kidney-recipient matching cannot be performed, meaning that some patients receive damaged kidneys that function poorly. Fibrosis is a form of chronic damage often present in donor kidneys, and it is an important predictor of future renal function. Currently, no safe, easy-to-perform technique exists that accurately quantifies renal fibrosis. We describe a potentially novel photoacoustic (PA) imaging technique that directly images collagen, the principal component of fibrotic tissue. PA imaging noninvasively quantifies whole kidney fibrotic burden in mice, and cortical fibrosis in pig and human kidneys, with outstanding accuracy and speed. Remarkably, 3-dimensional PA imaging exhibited sufficiently high resolution to capture intrarenal variations in collagen content. We further show that PA imaging can be performed in a setting that mimics human kidney transplantation, suggesting the potential for rapid clinical translation. Taken together, our data suggest that PA collagen imaging is a major advance in fibrosis quantification that could have widespread preclinical and clinical impact.

Indexed as

Imaging, Three-DimensionalKidney TransplantationPhotoacoustic TechniquesAnimalsFemaleFibrosisHumansKidneyKidney DiseasesMaleMiceSwineChronic kidney diseaseCollagensFibrosisNephrology

Identifiers

PMID32298239
PMCPMC7259526
OpenAlexW3017326594

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.