Evidence map›Paper›PMID 28776314›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2019

A combined static-dynamic single-dose imaging protocol to compare quantitative dynamic SPECT with static conventional SPECT.

Maria Sciammarella, Uttam M Shrestha, Youngho Seo, Grant T Gullberg, Elias H Botvinick

Abstract readComparative Study
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Left ventricular mechanical dyssnchrony: A potential new marker for 3-vessel CAD.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  4. Article
  5. Review
  6. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Single-photon emission computed tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  7. SPECT quantification of myocardial blood flow: A journey of a thousand miles begins with a single step (Lao Tzu, Chinese philosopher, 604-531 BC).Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Maria SciammarellaDivision of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA.
Uttam M ShresthaDepartment of Radiology and Biomedical Imaging, University of California, 185 Berry St., Suite 350, San Francisco, CA, 94143-0946, USA. uttam.shrestha@ucsf.edu.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California, 185 Berry St., Suite 350, San Francisco, CA, 94143-0946, USA.
Grant T GullbergDepartment of Radiology and Biomedical Imaging, University of California, 185 Berry St., Suite 350, San Francisco, CA, 94143-0946, USA.
Elias H BotvinickDivision of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA.

Funding

DYNAMIC CARDIAC SPECT IMAGINGR01HL050663 · NHLBI · UNIVERSITY OF UTAH · PI GULLBERG, GRANT T · 1995 to 2014
$7.0M
NHLBI NIH HHS R01 HL050663
6 · The paper itself

Abstract

backgroundSPECT myocardial perfusion imaging (MPI) is a clinical mainstay that is typically performed with static imaging protocols and visually or semi-quantitatively assessed for perfusion defects based upon the relative intensity of myocardial regions. Dynamic cardiac SPECT presents a new imaging technique based on time-varying information of radiotracer distribution, which permits the evaluation of regional myocardial blood flow (MBF) and coronary flow reserve (CFR). In this work, a preliminary feasibility study was conducted in a small patient sample designed to implement a unique combined static-dynamic single-dose one-day visit imaging protocol to compare quantitative dynamic SPECT with static conventional SPECT for improving the diagnosis of coronary artery disease (CAD).

methodsFifteen patients (11 males, four females, mean age 71 ± 9 years) were enrolled for a combined dynamic and static SPECT (Infinia Hawkeye 4, GE Healthcare) imaging protocol with a single dose of

resultsOverall, conventional static SPECT was normal in ten patients and abnormal in five patients, dynamic SPECT was normal in 12 patients and abnormal in three patients, and CFR from dynamic SPECT was normal in nine patients and abnormal in six patients. Among those 11 patients with SCA, conventional SPECT was normal in 5, 3 with documented CAD on SCA with an overall accuracy of 64%, sensitivity of 40% and specificity of 83%. Dynamic SPECT image analysis also produced a similar accuracy, sensitivity, and specificity. CFR was normal in 6, each with CAD on SCA with an overall accuracy of 91%, sensitivity of 80%, and specificity of 100%. The mean CFR was significantly lower for SCA detected abnormal than for normal patients (3.86±1.06 vs 1.94±0. 0.67, P < 0.001).

conclusionsThe visually assessed image findings in static and dynamic SPECT are subjective, and may not reflect direct physiologic measures of coronary lesion based on SCA. The CFR measured with dynamic SPECT is fully objective, with better sensitivity and specificity, available only with the data generated from the dynamic SPECT method.

Indexed as

AgedAged, 80 and overCoronary Artery DiseaseCoronary CirculationFeasibility StudiesFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingRadiopharmaceuticalsSensitivity and SpecificityTechnetium Tc 99m SestamibiTomography, Emission-Computed, Single-PhotonRadiopharmaceuticalsTechnetium Tc 99m Sestamibi99mTc-TetrofosminClinical SPECT/CTCoronary flow reserveDynamic SPECTSelective coronary angiograph

Identifiers

PMID28776314
PMCPMC5920770

What OpenQuestion holds

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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.