Evidence map›Paper›PMID 29568147›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.

Brendan L Eck, Rachid Fahmi, Jacob Levi, Anas Fares, Hao Wu, Yuemeng Li, Mani Vembar, Amar Dhanantwari, Hiram G Bezerra, David L Wilson

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. 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
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    Article
  9. Effect of Beam Hardening on Transmural Myocardial Perfusion Quantification in Myocardial CT Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2016
    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

10 authors at 3 institutions in 1 country.

Brendan L EckDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Rachid FahmiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Jacob LeviDepartment of Physics, Case Western Reserve University, Cleveland, OH, 44106, USA.
Anas FaresCardiovascular Imaging Core Laboratory, Harrington Heart & Vascular Institute, University Hospitals Case Medical Center, Cleveland, OH, 44106, USA.
Hao WuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Yuemeng LiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Mani VembarPhilips Healthcare, Cleveland, OH 44143, USA.
Amar DhanantwariPhilips Healthcare, Cleveland, OH 44143, USA.
Hiram G BezerraCardiovascular Imaging Core Laboratory, Harrington Heart & Vascular Institute, University Hospitals Case Medical Center, Cleveland, OH, 44106, USA.
David L WilsonDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Case Western Reserve University · USPhilips (United States) · USUniversity Hospitals Case Medical Center · US

Funding

Interdisciplinary Biomedical Imaging Training ProgramT32EB007509 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DAVID Lynn WILSON, Xin Yu · 2007 to 2026
$5.6M
Quantitative Image Quality for Optimization of MRIR01EB004070 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI WILSON, DAVID L · 2004 to 2007
$1.4M
Cancer Imaging and Therapy PlatformR41CA213601 · NCI · BIOINVISION, INC. · PI WILSON, DAVID LYNN · 2016 to 2016
$224k
NCI NIH HHS R41 CA213601NIBIB NIH HHS R01 EB004070NIBIB NIH HHS T32 EB007509
6 · The paper itself

Abstract

Myocardial perfusion imaging using CT (MPI-CT) has the potential to provide quantitative measures of myocardial blood flow (MBF) which can aid the diagnosis of coronary artery disease. We evaluated the quantitative accuracy of MPI-CT in a porcine model of balloon-induced LAD coronary artery ischemia guided by fractional flow reserve (FFR). We quantified MBF at baseline (FFR=1.0) and under moderate ischemia (FFR=0.7) using MPI-CT and compared to fluorescent microsphere-based MBF from high-resolution cryo-images. Dynamic, contrast-enhanced CT images were obtained using a spectral detector CT (Philips Healthcare). Projection-based mono-energetic images were reconstructed and processed to obtain MBF. Three MBF quantification approaches were evaluated: singular value decomposition (SVD) with fixed Tikhonov regularization (ThSVD), SVD with regularization determined by the L-Curve criterion (LSVD), and Johnson-Wilson parameter estimation (JW). The three approaches over-estimated MBF compared to cryo-images. JW produced the most accurate MBF, with average error 33.3±19.2mL/min/100g, whereas LSVD and ThSVD had greater over-estimation, 59.5±28.3mL/min/100g and 78.3±25.6 mL/min/100g, respectively. Relative blood flow as assessed by a flow ratio of LAD-to-remote myocardium was strongly correlated between JW and cryo-imaging, with R

Indexed as

CTmicrosphere-based blood flowmyocardial blood flowMyocardial perfusion imagingperfusion modeling

Identifiers

PMID29568147
PMCPMC5859322
OpenAlexW2319979128

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.