Evidence map›Paper›PMID 33520048›Full record

ArticleIEEE journal of selected topics in signal processing2020

A Domain Enriched Deep Learning Approach to Classify Atherosclerosis using Intravascular Ultrasound Imaging.

Max L Olender, Lambros S Athanasiou, Lampros K Michalis, Dimitris I Fotiadis, Elazer R Edelman

Abstract read
In one paragraph

Article in IEEE journal of selected topics in signal processing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A transformer-based pyramid network for coronary calcified plaque segmentation in intravascular optical coherence tomography images.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024
    Article
  5. Review
  6. Article
  7. Characterizing atherosclerotic tissues:Frontiers in bioengineering and biotechnology · 2023
    Article
  8. Review
  9. Review
  10. Article
  11. Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque Characterization.International journal of environmental research and public health · 2021
    Review
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

5 authors.

Max L OlenderDepartment of Mechanical Engineering and the Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Lambros S AthanasiouInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA; Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
Lampros K MichalisFaculty of Medicine, School of Health Sciences, University of Ioannina and the 2nd Department of Cardiology, University Hospital of Ioannina, Ioannina, 45500 Greece.
Dimitris I FotiadisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, 45110 Greece; Department of Biomedical Research, Institute of Molecular Biology and Biotechnology - FORTH, Ioannina, 45110 Greece.
Elazer R EdelmanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA; Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.

Funding

Vascular Drug Delivery - Supplement for EquipmentR01GM049039 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EDELMAN, ELAZER R · 1994 to 2019
$8.9M
NIGMS NIH HHS R01 GM049039
6 · The paper itself

Abstract

Intravascular ultrasound (IVUS) imaging is widely used for diagnostic imaging in interventional cardiology. The detection and quantification of atherosclerosis from acquired images is typically performed manually by medical experts or by virtual histology IVUS (VH-IVUS) software. VH-IVUS analyzes backscattered radio frequency (RF) signals to provide a color-coded tissue map, and is the method of choice for assessing atherosclerotic plaque

Indexed as

AtherosclerosisConvolutional Neural NetworksDeep LearningIVUSPlaque Characterization

Identifiers

PMID33520048
PMCPMC7845913

What OpenQuestion holds

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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.