Evidence map›Paper›PMID 21761374›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2011

Development and validation of a new automatic algorithm for quantification of left ventricular volumes and function in gated myocardial perfusion SPECT using cardiac magnetic resonance as reference standard.

Helen Soneson, Fredrik Hedeer, Carmen Arévalo, Marcus Carlsson, Henrik Engblom, Joey F A Ubachs, Håkan Arheden, Einar Heiberg

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Validation of an automated method to quantify stress-induced ischemia and infarction in rest-stress myocardial perfusion SPECT.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2014
    Trial
  2. Article
  3. Assessment of four different cardiac softwares for evaluation of LVEF with CZT-SPECT vs CMR in 48 patients with recent STEMI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  4. Left ventricle segmentation in the era of deep learning.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  5. Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  6. Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Review
  7. Article
  8. Article
  9. Impact of scar on SPECT assay of left ventricular contraction dyssynchrony.European journal of nuclear medicine and molecular imaging · 2014
    Article
  10. 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

8 authors.

Helen SonesonDepartment of Clinical Physiology, Skåne University Hospital, Lund University, SE-22185, Lund, Sweden.
Fredrik Hedeer
Carmen Arévalo
Marcus Carlsson
Henrik Engblom
Joey F A Ubachs
Håkan Arheden
Einar Heiberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBy gating image acquisition in myocardial perfusion SPECT (MPS) to ECG, left ventricular (LV) volumes and function can be determined. Several previous studies have shown that existing MPS software packages underestimate LV volumes compared to cardiac magnetic resonance (CMR). The aim of this study was therefore to develop a new LV segmentation algorithm for gated MPS using CMR as reference standard. METHODS AND

resultsA total of 126 patients with suspected coronary artery disease, who underwent both gated MPS and CMR were retrospectively included. The proposed LV segmentation algorithm (Segment) was trained in 26 patients, and tested in 100 patients in comparison to four commercially available MPS software packages (QGS, MyoMetrix, ECTb, and Exini) using CMR as reference standard. Mean bias ± SD between MPS and CMR was for EDV -5% ± 12%, -43% ± 8%, -40% ± 8%, -42% ± 9%, -32% ± 7%, for ESV 0% ± 17%, -41% ± 16%, -34% ± 15%, -54% ± 13%, -41% ± 10%, for EF -2% ± 13%, -1% ± 14%, -7% ± 15%, 17% ± 16%, 10% ± 17% for Segment, QGS, MyoMetrix, ECTb, and Exini, respectively, and for LVM 3% ± 18%, 33% ± 25%, 37% ± 24% for Segment, QGS, and ECTb, respectively. Correlation between MPS by Segment and CMR were for EDV R (2) = 0.89, for ESV R (2) = 0.92, for EF R (2) = 0.69, and for LVM R (2) = 0.72, with no difference compared to the correlation between the other MPS software packages and CMR (EDV R (2) = 0.86-0.92, ESV R (2) = 0.91-0.93, EF R (2) = 0.64-0.65, and LVM R (2) = 0.68-0.70).

conclusionThe Segment software quantifies LV volumes and EF by MPS with similar correlation and a low bias compared to other MPS software packages, using CMR as reference standard. Hence, the Segment software shows potential to provide clinically relevant volumes and functional values from MPS.

Indexed as

Magnetic Resonance ImagingVentricular Function, LeftAdultAgedAlgorithmsFemaleHumansLinear ModelsMaleMiddle AgedMyocardial Perfusion ImagingReference StandardsRetrospective StudiesSoftwareTomography, Emission-Computed, Single-Photon

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.