Evidence map›Paper›PMID 31321484›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

Prospective diagnostic performance of semiconductor SPECT myocardial perfusion imaging: wall thickening analysis reduces the need for an additional prone acquisition.

Loïc Djaileb, Benjamin Dubois, Nicolas de Leiris, Julien Leenhardt, Marjorie Canu, Olivier Phan Sy, Adrien Carabelli, Bastien Boussat, Laurent Dumas, Alexis Broisat and 5 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Prognostic value of SPECT myocardial perfusion entropy in high-risk type 2 diabetic patients.European journal of nuclear medicine and molecular imaging · 2021
    Trial
  2. 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

15 authors.

Loïc DjailebINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Benjamin DuboisNuclear Medicine Department, Savoie Metropole Hospital, Chambery, France.
Nicolas de LeirisINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Julien LeenhardtINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Marjorie CanuINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Olivier Phan SyNuclear Medicine Department, Grenoble-Alpes University Hospital, Grenoble-Alpes, France.
Adrien CarabelliINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Bastien BoussatTIMC-IMAG, UMR CNRS 5525, Grenoble-Alpes, France.
Laurent DumasINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Alexis BroisatINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Gérald VanzettoINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Daniel FagretINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Catherine GhezziINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Gilles Barone-RochetteINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France.
Laurent M RiouINSERM, U1039, Radiopharmaceutiques Biocliniques, Faculté de Médecine de Grenoble, F-38700, La Tronche, France. Laurent.Riou@univ-grenoble-alpes.fr.ORCID http://orcid.org/0000-0002-9240-4680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether the assessment of regional wall thickening (WT) in addition to myocardial perfusion from stress supine acquisitions could compensate for the lack of prone acquisition and the corresponding decrease in the diagnostic performance of SPECT myocardial perfusion imaging (MPI) in patients with known or suspected coronary artery disease (CAD).

methodsThe study group comprised 41 patients (123 vessels) with known or suspected CAD prospectively recruited for systematic prone and supine

resultsThe rate of false positives was significantly higher among the supine NG images (20.8%) than among either the prone and supine NG or the supine NG + WT images (3.3% and 2.7%, respectively, P < 0.05 vs. supine NG). Consequently, specificity was higher for the prone and supine NG images than for the supine NG images (96.1% vs. 76.1%, P < 0.01) and was highest for the supine NG + WT images (96.8%, P not significant vs. prone and supine NG), without significant differences in sensitivity (80.0%, 86.6% and 73.3%, respectively, P not significant for all comparisons).

conclusionThe diagnostic performance of supine stress SPECT MPI is improved when WT assessment of ischaemic segments is used as an additional diagnostic criterion to values not significantly different from those with combined prone and supine acquisitions.

Indexed as

AgedCoronary Artery DiseaseFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPatient PositioningPredictive Value of TestsProne PositionRadiopharmaceuticalsSemiconductorsSupine PositionThallium RadioisotopesTomography, Emission-Computed, Single-PhotonRadiopharmaceuticalsThallium RadioisotopesCoronarographyCZTDiagnostic performanceFFRSPECTWall thickening

Identifiers

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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.