Evidence map›Paper›PMID 33113069›Full record

ArticleThe international journal of cardiovascular imaging2021

Detection of coronary calcifications with dual energy chest X-rays: clinical evaluation.

Yingnan Song, Hao Wu, Di Wen, Bo Zhu, Philipp Graner, Leslie Ciancibello, Haran Rajeswaran, Karma Salem, Mehrdad Hajmomenian, Robert C Gilkeson and 1 more

Abstract readComparative Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

11 authors.

Yingnan Song *Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Hao Wu *Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Di WenDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Bo ZhuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Philipp GranerDepartment of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Leslie CiancibelloDepartment of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Haran RajeswaranDepartment of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Karma SalemDepartment of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Mehrdad HajmomenianDepartment of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Robert C GilkesonDepartment of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
David L WilsonDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA. david.wilson@case.edu.ORCID http://orcid.org/0000-0001-9763-1463

Funding

Interdisciplinary Biomedical Imaging Training ProgramT32EB007509 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DAVID Lynn WILSON, Xin Yu · 2007 to 2026
$5.6M
Computer assisted coronary artery stent interventionsR01HL143484 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI BEZERRA, HIRAM, WILSON, DAVID LYNN · 2018 to 2021
$2.9M
Case-Coulter Translational Research Partnership PY15-P410NHLBI NIH HHS R01 HL143484NIBIB NIH HHS T32 EB007509
6 · The paper itself

Abstract

Our goal is to assess the ability of physicians to detect coronary calcifications in dual energy chest X-rays processed by a previously developed advanced algorithm. Because the chest X-ray is the most common imaging procedure, because the presence of coronary calcium provides proof of coronary artery disease, and because adherence to therapy can improve health, successful detection could positively impact healthcare for a large number of patients. Both dual energy chest and corroborative CT calcium score images were acquired. Dual energy images were processed with the advanced techniques, including sliding organ registration, so as to enhance coronary calcifications in two-shot dual energy acquisitions. We performed ROC to determine physicians' ability to detect coronary calcifications. Since detection might be easier with heavier calcifications, we used various Agatston score cut-points for determining cases actually positive with calcification in the ROC analysis. In many cases, coronary calcifications were made more visible with the advanced processing as compared to conventional processing. At an Agatston cut-point of 300, coronary calcifications were detected with AUC = 0.85. There were marginal effects on detection performance found with increased X-ray exposure, nearby Agatston cut-point values, and coronary artery territory. Coronary calcifications can be detected in dual energy chest X-rays. The ability to detect disease compares very favorably to other accepted screening methods (e.g., X-ray mammography). As the chest X-ray is an already ordered procedure, there is an opportunity to detect a very large number of persons with coronary artery disease at zero or low cost.

Indexed as

Radiography, ThoracicTomography, X-Ray ComputedAdultAgedAlgorithmsCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsRetrospective StudiesAgatstonCoronary calcificationDual energyImage processingImage registrationROCScreening exam

Identifiers

PMID33113069
PMCPMC7979464

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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.