Evidence map›Paper›PMID 31086705›Full record

ArticleBiomedical optics express2019

Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function.

Brandon Konkel, Christopher Lavin, Tong Tong Wu, Erik Anderson, Aya Iwamoto, Hadi Rashid, Brandon Gaitian, Joseph Boone, Matthew Cooper, Peter Abrams and 6 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Label-free viability assessment ofBiomedical optics express · 2026
    Article
  4. Article
  5. Article
  6. Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography.IEEE access : practical innovations, open solutions · 2025
    Article
  7. Article
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  9. 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

16 authors at 4 institutions in 1 country.

Brandon KonkelGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Christopher LavinGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Tong Tong WuDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.
Erik AndersonGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Aya IwamotoGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Hadi RashidGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Brandon GaitianFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
Joseph BooneGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Matthew CooperMedstar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Peter AbramsMedstar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Alexander GilbertMedstar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Qinggong TangFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
Moshe LeviGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
James G FujimotoDepartment of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, 50 Vassar St, Cambridge, MA 02139, USA.
Peter AndrewsGeorgetown University Medical Center, 3800 Reservoir Rd NW, Washington DC, 20007, USA.
Yu ChenFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
Georgetown University · USUniversity of Maryland, College Park · USUniversity of Rochester Medical Center · USVassar College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current measures for assessing the viability of donor kidneys are lacking. Optical coherence tomography (OCT) can image subsurface tissue morphology to supplement current measures and potentially improve prediction of post-transplant function. OCT imaging was performed on donor kidneys before and immediately after implantation during 169 human kidney transplant surgeries. A system for automated image analysis was developed to measure structural parameters of the kidney's proximal convoluted tubules (PCTs) visualized in the OCT images. The association of these structural parameters with post-transplant function was investigated. This study included kidneys from live and deceased donors. 88 deceased donor kidneys in this study were stored by static cold storage (SCS) and an additional 15 were preserved by hypothermic machine perfusion (HMP). A subset of both SCS and HMP deceased donor kidneys were classified as expanded criteria donor (ECD) kidneys, with elevated risk of poor post-transplant function. Post-transplant function was characterized as either immediate graft function (IGF) or delayed graft function (DGF). In ECD kidneys stored by SCS, increased PCT lumen diameter was found to predict DGF both prior to implantation and following reperfusion. In SCD kidneys preserved by HMP, reduced distance between adjacent lumen following reperfusion was found to predict DGF. Results suggest that OCT measurements may be useful for predicting post-transplant function in ECD kidneys and kidneys stored by HMP. OCT analysis of donor kidneys may aid in allocation of kidneys to expand the donor pool as well as help predict post-transplant function in transplanted kidneys to inform post-operative care.

Identifiers

PMID31086705
PMCPMC6485011
OpenAlexW2922510233

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.