Evidence map›Paper›PMID 29034066›Full record

ArticleCardiovascular innovations and applications2016

Novel SPECT Technologies and Approaches in Cardiac Imaging.

Piotr Slomka, Guang-Uei Hung, Guido Germano, Daniel S Berman

Open access · diamondAbstract read
In one paragraph

Article in Cardiovascular innovations and applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  4. Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.European journal of nuclear medicine and molecular imaging · 2021
    Article
  5. New Trends in Quantitative Nuclear Cardiology Methods.Current cardiovascular imaging reports · 2018
    Article
  6. Review
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

4 authors at 2 institutions in 2 countries.

Piotr SlomkaDepartments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Guang-Uei HungDepartment of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan.
Guido GermanoDepartments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S BermanDepartments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · USChang Bing Show Chwan Memorial Hospital · TW

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

Recent novel approaches in myocardial perfusion single photon emission CT (SPECT) have been facilitated by new dedicated high-efficiency hardware with solid-state detectors and optimized collimators. New protocols include very low-dose (1 mSv) stress-only, two-position imaging to mitigate attenuation artifacts, and simultaneous dual-isotope imaging. Attenuation correction can be performed by specialized low-dose systems or by previously obtained CT coronary calcium scans. Hybrid protocols using CT angiography have been proposed. Image quality improvements have been demonstrated by novel reconstructions and motion correction. Fast SPECT acquisition facilitates dynamic flow and early function measurements. Image processing algorithms have become automated with virtually unsupervised extraction of quantitative imaging variables. This automation facilitates integration with clinical variables derived by machine learning to predict patient outcome or diagnosis. In this review, we describe new imaging protocols made possible by the new hardware developments. We also discuss several novel software approaches for the quantification and interpretation of myocardial perfusion SPECT scans.

Indexed as

fast myocardial perfusion single photon emission computed tomographylow dosemyocardial perfusion imagingquantificationsingle photon emission computed tomographystress only

Identifiers

PMID29034066
PMCPMC5640436
OpenAlexW2586262671

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.