Evidence map›Paper›PMID 36465096›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

Automatic microchannel detection using deep learning in intravascular optical coherence tomography images.

Juhwan Lee, Justin N Kim, Gabriel T R Pereira, Yazan Gharaibeh, Chaitanya Kolluru, Vladislav N Zimin, Luis A P Dallan, Issam K Motairek, Ammar Hoori, Giulio Guagliumi and 2 more

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In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
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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.

Juhwan LeeDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Justin N KimDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Gabriel T R PereiraCardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
Yazan GharaibehDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Chaitanya KolluruDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Vladislav N ZiminCardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
Luis A P DallanCardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
Issam K MotairekCardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
Ammar HooriDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Giulio GuagliumiCardiovascular Department, Ospedale Papa Giovanni XXIII, Bergamo, Italy.
Hiram G BezerraInterventional Cardiology Center, Heart and Vascular Institute, University of South Florida, Tampa, FL, 33606, USA.
David L WilsonDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.

Funding

Computer assisted coronary artery stent interventionsR01HL143484 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI BEZERRA, HIRAM, WILSON, DAVID LYNN · 2018 to 2021
$2.9M
In vivo Characterization of Stents using Intravascular OCT ImagingR01HL114406 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI BEZERRA, HIRAM, ROLLINS, ANDREW MARTIN · 2013 to 2016
$1.7M
Coronary Plaque Characterization with Vascular OCT ImagingR21HL108263 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI COSTA, MARCO A, WILSON, DAVID LYNN · 2011 to 2012
$423k
BIOMEDICAL ENGINEERING RESEARCH FACILITIESC06RR012463 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI KUTINA, KENNETH L · 1997 to 1997
–
NCRR NIH HHS C06 RR012463NHLBI NIH HHS R01 HL114406NHLBI NIH HHS R01 HL143484NHLBI NIH HHS R21 HL108263
6 · The paper itself

Abstract

Microchannel formation is known to be a significant marker of plaque vulnerability, plaque rupture, and intraplaque hemorrhage, which are responsible for plaque progression. We developed a fully-automated method for detecting microchannels in intravascular optical coherence tomography (IVOCT) images using deep learning. A total of 3,075 IVOCT image frames across 41 patients having 62 microchannel segments were analyzed. Microchannel was manually annotated by expert cardiologists, according to previously established criteria. In order to improve segmentation performance, pre-processing including guidewire detection/removal, lumen segmentation, pixel-shifting, and noise filtering was applied to the raw (

Indexed as

classificationdeep learningIntravascular optical coherence tomographymicrochannelsegmentation

Identifiers

PMID36465096
PMCPMC9718371

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Registered trials

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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.