Evidence map›Paper›PMID 37064414›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2023

Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) images.

Chelsea A S Dunning, Prabhakar Shantha Rajiah, Scott S Hsieh, Andrea Esquivel, Mariana Yalon, Nikkole M Weber, Hao Gong, Joel G Fletcher, Cynthia H McCollough, Shuai Leng

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

10 authors at 1 institution in 1 country.

Chelsea A S DunningDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Prabhakar Shantha RajiahDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Scott S HsiehDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Andrea EsquivelDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Mariana YalonDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Nikkole M WeberDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Hao GongDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Joel G FletcherDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Shuai LengDepartment of Radiology, Mayo Clinic, 200 1 St SW, Rochester, MN, USA 55905.
Mayo Clinic · US

Funding

Comprehensive characterization of coronary atherosclerotic disease using photon-counting-detector dual-source CT and its impact on patient managementR01EB028590 · NIBIB · MAYO CLINIC ROCHESTER · PI LENG, SHUAI, MCCOLLOUGH, CYNTHIA H · 2020 to 2023
$2.6M
NIBIB NIH HHS R01 EB028590
6 · The paper itself

Abstract

Coronary plaque risk classification in images acquired with photon-counting-detector (PCD) CT was performed using a radiomics-based machine learning (ML) model. With IRB approval, 19 coronary CTA patients were scanned on a PCD-CT (NAEOTOM Alpha, Siemens Healthineers) with median CTDI

Indexed as

cardiac CTcomputed tomographyphoton-counting-detectorradiomics, machine learning

Identifiers

PMID37064414
PMCPMC10099708
OpenAlexW4362664457

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.