Evidence map›Paper›PMID 32929639›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry.

Eyal Klein, Robert J H Miller, Tali Sharir, Andrew J Einstein, Mathews B Fish, Terrence D Ruddy, Philipp A Kaufmann, Albert J Sinusas, Edward J Miller, Timothy M Bateman and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0).Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  4. CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients.European journal of nuclear medicine and molecular imaging · 2024
    Article
  5. Article
  6. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2022: single photon emission computed tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  7. Article
  8. Is the CZT technology the future of nuclear cardiology?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 4 countries.

Eyal KleinDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Robert J H MillerDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Tali SharirDepartment of Nuclear Cardiology, Assuta Medical Center, Tel Aviv, Israel.
Andrew J EinsteinDivision of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA.
Mathews B FishDepartment of Nuclear Medicine, Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
Terrence D RuddyDivision of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
Philipp A KaufmannDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
Albert J SinusasDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA.
Edward J MillerDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA.
Timothy M BatemanCardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
Sharmila DorbalaDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Marcelo Di CarliDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Yuka OtakiDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Heidi GransarDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Joanna X LiangDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Damini DeyDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Daniel S BermanDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
Piotr J SlomkaDepartment of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA. Piotr.Slomka@cshs.org.
Cedars-Sinai Medical Center · USBrigham and Women's Hospital · USYale University · USBen-Gurion University of the Negev · ILHeart Imaging Technologies (United States) · USNewYork–Presbyterian Hospital · USProvidence Sacred Heart Medical Center · USUniversity Hospital of Zurich · CHUniversity of Ottawa · CA

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
NHLBI NIH HHS R01 HL089765
6 · The paper itself

Abstract

backgroundObese patients constitute a substantial proportion of patients referred for SPECT myocardial perfusion imaging (MPI), presenting a challenge of increased soft tissue attenuation. We investigated whether automated quantitative perfusion analysis can stratify risk among different obesity categories and whether two-view acquisition adds to prognostic assessment.

methodsParticipants were categorized according to body mass index (BMI). SPECT MPI was assessed visually and quantified automatically; combined total perfusion deficit (TPD) was evaluated. Kaplan-Meier and Cox proportional hazard analyses were used to assess major adverse cardiac event (MACE) risk. Prognostic accuracy for MACE was also compared.

resultsPatients were classified according to BMI: BMI < 30, 30 ≤ BMI < 35, BMI ≥ 35. In adjusted analysis, each category of increasing stress TPD was associated with increased MACE risk, except for 1% ≤ TPD < 5% and 5% ≤ TPD < 10% in patients with BMI ≥ 35. Compared to visual analysis, single-position stress TPD had higher prognostic accuracy in patients with BMI < 30 (AUC .652 vs .631, P < .001) and 30 ≤ BMI < 35 (AUC .660 vs .636, P = .027). Combined TPD had better discrimination than visual analysis in patients with BMI ≥ 35 (AUC .662 vs .615, P = .003).

conclusionsAutomated quantitative methods for SPECT MPI interpretation provide robust risk stratification in the obese population. Combined stress TPD provides additional prognostic accuracy in patients with more significant obesity.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseMyocardial Perfusion ImagingHeart Disease Risk FactorsHumansObesityRegistriesRisk FactorsTomography, Emission-Computed, Single-Photonautomated quantificationBody mass indexmyocardial perfusion imagingobesityrisk stratificationSPECT

Identifiers

PMID32929639
PMCPMC8497048
OpenAlexW3086022916

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.