Evidence map›Paper›PMID 30721887›Full record

ArticlePhysics in medicine and biology2019

Quantification of myocardial uptake rate constants in dynamic small-animal SPECT using a cardiac phantom.

Lindsay C Johnson, Marie A Guerraty, Stephen C Moore, Scott D Metzler

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Simultaneously quantifyingPhysics in medicine and biology · 2026
    Article
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Lindsay C JohnsonDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Marie A GuerratyDivision of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Stephen C MooreDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Scott D MetzlerDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
University of Pennsylvania · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Multidisciplinary Training in Cardiovascular BiologyT32HL007954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DAVIES, PETER FRANCIS · 2000 to 2019
$9.9M
Preclinical cardiac imaging package for clinical SPECT systemsR01HL111883 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI METZLER, SCOTT DEAN, MOORE, STEPHEN C. · 2012 to 2015
$2.8M
The Role of the Cardiomyocyte HIF pathway and FOG2 in Coronary Microvascular DiseaseK08HL136890 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GUERRATY, MARIE A · 2017 to 2021
$919k
NCATS NIH HHS UL1 TR001878NHLBI NIH HHS K08 HL136890NHLBI NIH HHS R01 HL111883NHLBI NIH HHS T32 HL007954
6 · The paper itself

Abstract

Myocardial blood flow and myocardial blood flow reserve (MBFR) measurements are often used clinically to quantify coronary microvascular function. Developing imaging-based methods to measure MBFR for research in mice would be advantageous for evaluating new treatment methods for coronary microvascular disease (CMVD), yet this is more challenging in mice than in humans. This work investigates microSPECT's quantitative capabilities of cardiac imaging by utilizing a multi-part cardiac phantom and applying a known kinetic model to synthesize kinetic data from static data, allowing for assessment of kinetic modeling accuracy. The phantom was designed with four main components: two left-ventricular (LV) myocardial sections and two LV blood-pool sections, sized for end-systole (ES) and end-diastole (ED). Each section of the phantom was imaged separately while acquiring list-mode data. These static, separate-compartment data were manipulated into synthetic dynamic data using a kinetic model representing the myocardium and blood-pool activity concentrations over time and then combined into a set of dynamic image frames and reconstructed. Regions of interest were drawn on the resulting images, and kinetic parameters were estimated. This process was performed for three tracer uptake values (K

Indexed as

Models, TheoreticalAnimalsHeartMiceMyocardiumPhantoms, ImagingPositron-Emission TomographyTomography, Emission-Computed, Single-Photon

Identifiers

PMID30721887
PMCPMC6512311
OpenAlexW2911649865

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.