Evidence map›Paper›PMID 29197024›Full record

ArticleThe international journal of cardiovascular imaging2018

Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging.

Behzad Sharif, Manish Motwani, Reza Arsanjani, Rohan Dharmakumar, Mathews B Fish, Guido Germano, Debiao Li, Daniel S Berman, Piotr Slomka

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2018. 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. Article
  2. Article
  3. Article
  4. Article
  5. Cardiovascular imaging 2018 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2019
    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

9 authors.

Behzad SharifLaboratory for Translational Imaging of Microcirculation, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA. behzad.sharif@cshs.org.ORCID http://orcid.org/0000-0002-8945-8178
Manish MotwaniDepartments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.
Reza ArsanjaniDepartments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.
Rohan DharmakumarBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.
Mathews B FishOregon Heart and Vascular Institute, Sacred Heart Medical Center, 3311 Riverbend Dr, Springfield, OR, 97477, USA.
Guido GermanoDepartments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.
Daniel S BermanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.
Piotr SlomkaBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA. Piotr.Slomka@cshs.org.

Funding

Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CTR01HL089765 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2007 to 2021
$6.1M
Whole-Heart Myocardial Blood Flow Quantification Using MRIR01HL124649 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO · 2015 to 2018
$3.3M
Accurate Perfusion MRI for Improved Diagnosis of Microvascular Coronary DiseaseR00HL124323 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SHARIF, BEHZAD · 2017 to 2019
$747k
NHLBI NIH HHS R00 HL124323NHLBI NIH HHS R01 HL089765NHLBI NIH HHS R01 HL124649
6 · The paper itself

Abstract

In the context of myocardial perfusion imaging (MPI) with cardiac magnetic resonance (CMR), there is ongoing debate on the merits of using technically complex acquisition methods to achieve whole-heart spatial coverage, rather than conventional 3-slice acquisition. An adequately powered comparative study is difficult to achieve given the requirement for two separate stress CMR studies in each patient. The aim of this work is to draw relevant conclusions from SPECT MPI by comparing whole-heart versus simulated 3-slice coverage in a large existing dataset. SPECT data from 651 patients with suspected coronary artery disease who underwent invasive angiography were analyzed. A computational approach was designed to model 3-slice MPI by retrospective subsampling of whole- heart data. For both whole-heart and 3-slice approaches, the diagnostic performance and the stress total perfusion deficit (TPD) score-a measure of ischemia extent/severity-were quantified and compared. Diagnostic accuracy for the 3-slice and whole-heart approaches were similar (area under the curve: 0.843 vs. 0.855, respectively; P = 0.07). The majority (54%) of cases missed by 3-slice imaging had primarily apical ischemia. Whole-heart and 3-slice TPD scores were strongly correlated (R

Indexed as

Tomography, Emission-Computed, Single-PhotonAgedArea Under CurveCoronary AngiographyCoronary Artery DiseaseCoronary CirculationCoronary VesselsDatabases, FactualFemaleHeart VentriclesHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, CardiovascularCardiac magnetic resonanceCoronary artery diseaseMyocardial ischemiaMyocardial ischemic burdenMyocardial perfusion imagingWhole heart imaging

Identifiers

PMID29197024
PMCPMC5859027

What OpenQuestion 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 OpenQuestion graph.