Evidence map›Paper›PMID 27743297›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2016

"Same-patient processing" for multiple cardiac SPECT studies. 2. Improving quantification repeatability.

Guido Germano, Paul B Kavanagh, Terrence D Ruddy, R Glenn Wells, Yuan Xu, Daniel S Berman, Piotr J Slomka

Abstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  4. Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Review
  5. Quantitative measurements of myocardial perfusion and function from SPECT (and PET) studies depend on the method used to perform those measurements.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  6. Myocardial perfusion imaging: Lessons learned and work to be done-update.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Review
  7. Review
  8. Serial cardiac SPECT studies: Technical issues and clinical implications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2016
    Article
  9. Novel SPECT Technologies and Approaches in Cardiac Imaging.Cardiovascular innovations and applications · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Guido GermanoDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Guido.Germano@cshs.org.
Paul B KavanaghDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Terrence D RuddyUniversity of Ottawa Heart Institute, Ottawa, ON, Canada.
R Glenn WellsUniversity of Ottawa Heart Institute, Ottawa, ON, Canada.
Yuan XuDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S BermanDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Piotr J SlomkaDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

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

objectivesThis paper investigates the ability of grouped quantification (an expression of the same-patient processing approach, or SPP) to improve repeatability of measurements in patients with multiple SPECT studies, and evaluates its performance compared to standard quantification in a population of 100 patients undergoing rest, stress, gated rest, and gated stress SPECT MPI. All acquisitions were performed twice, back-to-back, for a total of 800 image datasets (8 per patient).

methodsEach dataset was automatically processed (a) independently, using standard quantitative software, and (b) as a group, together with the other 7 datasets belonging to the same patient, using an SPP-modified version of the software that registered the images to one another using a downhill simplex algorithm for the search of optimal translation, rotation, and scaling parameters.

resultsOverall, grouped quantification resulted in significantly lower differences between repeated measurements of stress ungated volumes (1.40 ± 2.76 mL vs 3.33 ± 5.06 mL, P < .05), end-diastolic volumes (1.78 ± 2.78 vs 3.49 ± 5.35 mL, P < .05), end-systolic volumes (1.17 ± 1.96 vs 2.44 ± 3.35 mL, P < .05), and LVEFs (-0.45 ± 2.29% vs -1.16 ± 3.30%, P < .05). Additionally, grouped quantification produced better repeatability (lower repeatability coefficients) for stress and rest ungated volumes (5.4 vs 9.9 and 5.2 vs 13.1, respectively), stress TPD (2.6 vs 3.6), stress and rest end-diastolic volumes (5.5 vs 10.5 and 7.2 vs 14.7, respectively), stress and rest end-systolic volumes (3.8 vs 6.6 and 5.3 vs 10.3, respectively), stress and rest LVEFs (4.5 vs 6.5 and 4.7 vs 8.2, respectively), and rest total motion deficit (5.6 vs 9.6).

conclusionIt is possible to improve the repeatability of quantitative measurements of parameters of myocardial perfusion and function derived from SPECT MPI studies of a same patient by group processing of image datasets belonging to that patient. This application of the same-patient processing approach is an extension of the "paired processing" technique already described by our group, and can be performed in automated fashion through incorporation in the quantitative algorithm.

Indexed as

Cardiac-Gated Single-Photon Emission Computer-Assisted TomographyCoronary Artery DiseaseFemaleHeart VentriclesHumansImage EnhancementMaleMiddle AgedMyocardial Perfusion ImagingReproducibility of ResultsSensitivity and SpecificityStroke VolumeTomography, Emission-Computed, Single-PhotonVentricular Dysfunction, Leftgated SPECTimage processingMyocardial perfusion imagingsoftware and algorithmsSPECT

Identifiers

PMID27743297
PMCPMC5453304

What OpenQuestion holds

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Registered trials

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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.