Evidence map›Paper›PMID 28337725›Full record

ArticleEJNMMI research2017

Comparison of diagnostic performance of four software packages for phase dyssynchrony analysis in gated myocardial perfusion SPECT.

Koichi Okuda, Kenichi Nakajima, Shinro Matsuo, Soichiro Kashiwaya, Hiroto Yoneyama, Takayuki Shibutani, Masahisa Onoguchi, Mitsumasa Hashimoto, Seigo Kinuya

Abstract read
In one paragraph

Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Myocardial scar reduction after cardiac resynchronization therapy assessed by gated myocardial perfusion SPECT.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  7. Article
  8. Mechanical dyssynchrony & CRT: Is it time for guideline updates?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  9. Article
  10. Observational
  11. Phase analysis of gated myocardial perfusion SPECT and cardiac resynchronization therapy: The good, the bad, and the ugly.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  12. Demystifying dyssynchrony for diagnosis and prognosis: Tips for measuring heterogeneous phase distribution.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  13. What does entropy reveal in phase analysis of myocardial perfusion SPECT?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  14. Review
  15. Phase dyssynchrony andJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  16. Making the invisible visible: Phase dyssynchrony has potential as a new prognostic marker.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  17. Is it time for personalized cardiac resynchronization therapy.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  18. 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

9 authors.

Koichi OkudaDepartment of Physics, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Kahoku, Ishikawa, 920-0293, Japan. okuda@kanazawa-med.ac.jp.ORCID http://orcid.org/0000-0003-0010-6844
Kenichi NakajimaDepartment of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan. nakajima@med.kanazawa-u.ac.jp.
Shinro MatsuoDepartment of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.
Soichiro KashiwayaDepartment of Radiological Technology, Kanazawa Municipal Hospital, Kanazawa, Japan.
Hiroto YoneyamaDepartment of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan.
Takayuki ShibutaniDepartment of Quantum Medical Technology, Kanazawa University, Kanazawa, Japan.
Masahisa OnoguchiDepartment of Quantum Medical Technology, Kanazawa University, Kanazawa, Japan.
Mitsumasa HashimotoDepartment of Physics, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
Seigo KinuyaDepartment of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhase analysis of gated myocardial perfusion single-photon emission computed tomography (SPECT) for assessment of left ventricular (LV) dyssynchrony was investigated using the following dedicated software packages: Corridor4DM (4DM), cardioREPO (cREPO), Emory Cardiac Toolbox (ECTb), and quantitative gated SPECT (QGS). The purpose of this study was to evaluate the normal values of 95% histogram bandwidth, phase standard deviation (SD), and entropy and to compare the diagnostic performance of the four software packages. A total of 122 patients with normal myocardial perfusion and cardiac function (58.9 ± 12.3 years, 60 women, ejection fraction (EF) 74.3 ± 5.7%, and end-diastolic volume (EDV) 83.5 ± 3.6 mL) and 34 patients with suspected LV dyssynchrony (64.1 ± 12.2 years, 9 women, EF 52.0 ± 18.0%, and EDV 145.0 ± 6.8 mL) who underwent Tc-99m methoxy-isobutyl-isonitrile/tetrofosmin gated SPECT were retrospectively evaluated. Dyssynchrony indices of the 95% histogram bandwidth, phase SD, and entropy were computed with the four software programs. Diagnostic performance of LV phase dyssynchrony assessments was determined by receiver operator characteristic (ROC) analysis. The area under the ROC curve (AUC) was used to compare the software programs. The optimal cutoff point was determined by ROC curve based on the Youden index.

resultsThe average of normal bandwidth significantly differed among the four software programs except in the comparison of 4DM and ECTb. Moreover, the normal phase SD significantly differed among the four software programs except in the comparison of cREPO and ECTb. The software programs showed high correlation levels for bandwidth, phase SD, and entropy (r ≥ 0.73, p < 0.001). ROC AUCs of bandwidth, phase SD, and entropy were ≥0.850, ≥0.858, and ≥0.900, respectively. Moreover, the ROC AUCs of bandwidth, phase SD, and entropy did not significantly differ among the four software programs. Optimal cutoff points for phase parameters were 24°-42° for bandwidth, 8.6°-15.3° for phase SD, and 31-48% for entropy.

conclusionsAlthough the optimal cutoff value for determining LV phase dyssynchrony by ROC analysis varied depending on the use of the different software programs, all software programs can be used reliably for phase dyssynchrony analysis.

Indexed as

Cardiac resynchronization therapyLeft ventricularMechanical dyssynchronyMyocardial perfusion SPECTPhase analysis

Identifiers

PMID28337725
PMCPMC5364119

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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.