Evidence map›Paper›PMID 32383083›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2021

Quantification of myocardial perfusion reserve by CZT-SPECT: A head to head comparison with

Wanda Acampa, Emilia Zampella, Roberta Assante, Andrea Genova, Giovanni De Simini, Teresa Mannarino, Adriana D'Antonio, Valeria Gaudieri, Carmela Nappi, Pietro Buongiorno and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Guideline for Chronic Coronary Syndrome - 2025.Arquivos brasileiros de cardiologia · 2025
    Article
  8. Coronary Flow Reserve Measured by Myocardial Perfusion Imaging in Patients Following Percutaneous Coronary Intervention.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Including myocardial flow reserve by PET in prediction models: Ready to fly?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  16. Role of nuclear cardiology in diagnosis and risk stratification of coronary microvascular disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  17. Radiomics for the detection of diffusely impaired myocardial perfusion: A proof-of-concept study using 13N-ammonia positron emission tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  18. Myocardial perfusion reserve by CZT cameras: A journey inside coronary microvascular circulation. Is it time to leave yet?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  19. Article
  20. 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

13 authors at 2 institutions in 1 country.

Wanda AcampaDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Emilia ZampellaDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Roberta AssanteDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Andrea GenovaDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Giovanni De SiminiDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Teresa MannarinoDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Adriana D'AntonioDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Valeria GaudieriDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Carmela NappiDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Pietro BuongiornoDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Ciro Gabriele MainolfiDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy. c.mainolfi@libero.it.
Mario PetrettaDepartment of Translational Medical Sciences, University Federico II, Naples, Italy.
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Federico II University Hospital · ITInstitute of Biostructure and Bioimaging · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe measured myocardial blood flow (MBF) and perfusion reserve (MPR) by dynamic CZT-SPECT and

methodsTwenty-five patients with available coronary angiography data underwent

resultsCZT-SPECT yielded similar baseline MBF, but higher hyperemic MBF and MPR values compared to PET. There was a modest correlation between the two methods for MPR (r = 0.56, P < .01). MPR by CZT-SPECT showed a good ability in identify a reduced MPR by PET, with an area under the curve of 0.85. A MPR cut-off of 2.5 was identified by CZT-SPECT for detection of abnormal MPR by PET, with a sensitivity, specificity and accuracy of 86%, 73% and 80%. The area under the curve for the identification of obstructive CAD by regional MPR were 0.83 for CZT-SPECT and 0.84 for PET (P = .90). At CZT-SPECT, a regional MPR of 2.1 provided the best trade-off between sensitivity and specificity for identifying obstructive CAD. Diagnostic accuracy of CZT-SPECT and PET using respective cut-off values was comparable (P = .62).

conclusionHyperemic MBF and MPR values obtained by CZT-SPECT are higher than those measured by

Indexed as

CadmiumCoronary CirculationPositron-Emission TomographyRubidium RadioisotopesTelluriumZincAgedFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedMyocardial Perfusion ImagingCadmiumCdZnTeRubidium RadioisotopesTelluriumZincCADDiagnostic and prognostic applicationMyocardial blood flowPETSPECT

Identifiers

PMID32383083
OpenAlexW3021082625

What OpenQuestion holds

Textmetadata
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.