Evidence map›Paper›PMID 28695406›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2018

Quantification of intramyocardial blood volume with

Hassan Mohy-Ud-Din, Nabil E Boutagy, John C Stendahl, Zhen W Zhuang, Albert J Sinusas, Chi Liu

Abstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Simultaneously quantifyingPhysics in medicine and biology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. IEEE transactions on radiation and plasma medical sciences · 2023
    Article
  8. Article
  9. Quantification of intramyocardial blood volume usingJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  10. Feasibility study of PET dynamic imaging of [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  11. Microvascular function measurement in mice: From large to small.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  12. Nuclear cardiology in the context of multimodality imaging to detect cardiac toxicity from cancer therapeutics: Established and emerging methods.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  13. Molecular Imaging of the Heart.Comprehensive Physiology · 2019
    Review
  14. 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

6 authors.

Hassan Mohy-Ud-DinDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA. hassanmohyuddin@skm.org.pk.
Nabil E BoutagySection of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
John C StendahlSection of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Zhen W ZhuangSection of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Albert J SinusasDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
Chi LiuDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA. chi.liu@yale.edu.

Funding

Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
Low-dose SPECT/CT for imaging chemotherapy-induced microvascular cardiotoxicityR01HL123949 · NHLBI · YALE UNIVERSITY · PI LIU, CHI · 2014 to 2018
$3.2M
Molecular Imaging Predicts Atrial Remodeling and Fibrillation VulnerabilityR01HL113352 · NHLBI · YALE UNIVERSITY · PI AKAR, JOSEPH GABRIEL, SINUSAS, ALBERT J · 2013 to 2016
$2.8M
Hybrid Volumetric SPECT/CT Imaging SystemS10RR025555 · NCRR · YALE UNIVERSITY · PI SINUSAS, ALBERT J · 2009 to 2009
$500k
NCRR NIH HHS S10 RR025555NHLBI NIH HHS R01 HL113352NHLBI NIH HHS R01 HL123949NHLBI NIH HHS T32 HL098069
6 · The paper itself

Abstract

backgroundCurrently, there is no established non-invasive imaging approach to directly evaluate myocardial microcirculatory function in order to diagnose microvascular disease independent of co-existing epicardial disease. In this work, we developed a methodological framework for quantification of intramyocardial blood volume (IMBV) as a novel index of microcirculatory function with SPECT/CT imaging of

methodsDual-gated myocardial SPECT/CT equilibrium imaging of

resultsThe estimated IMBV with all corrections was 0.15 ± 0.03 for the end-diastolic phase and 0.11 ± 0.03 for the end-systolic phase. The cycle-dependent change in IMBV (ΔIMBV) with all corrections was 23.9 ± 8.6%. Schemes that applied no correction or partial correction resulted in significant over-estimation of IMBV and significant under-underestimation of ΔIMBV. Estimates of IMBV and ΔIMBV using all corrections were consistent with values reported in the literature using invasive techniques. In vivo SPECT estimates of IMBV strongly correlated (R

conclusionsNon-invasive quantification of IMBV is feasible using

Indexed as

Blood VolumeAnimalsCoronary CirculationDogsErythrocytesFemaleHemodynamicsMicrocirculationSingle Photon Emission Computed Tomography Computed TomographyTechnetiumX-Ray MicrotomographyTechnetiumcardio-respiratory motion correctioncoronary microcirculationIntramyocardial blood volumemicroCTpartial volume correctionSPECT-CT imaging

Identifiers

PMID28695406
PMCPMC5985225

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.