Evidence map›Paper›PMID 35165793›Full record

ArticleEuropean journal of hybrid imaging2022

Clinically viable myocardial CCTA segmentation for measuring vessel-specific myocardial blood flow from dynamic PET/CCTA hybrid fusion.

Marina Piccinelli, Navdeep Dahiya, Jonathon A Nye, Russell Folks, C David Cooke, Daya Manatunga, Doyeon Hwang, Jin Chul Paeng, Sang-Geon Cho, Joo Myung Lee and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of hybrid imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

14 authors at 6 institutions in 2 countries.

Marina PiccinelliDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA. mpiccin@emory.edu.ORCID http://orcid.org/0000-0003-1228-3012
Navdeep DahiyaDepartment of Electrical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Jonathon A NyeDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Russell FolksDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
C David CookeDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Daya ManatungaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Doyeon HwangDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.
Jin Chul PaengDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea.
Sang-Geon ChoSamsung Medical Center, Heart Vascular Stroke Institute, Seoul, Korea.
Joo Myung LeeDepartment of Nuclear Medicine, Chonnam National University, Gwangju, Korea.
Hee-Seung BomSamsung Medical Center, Heart Vascular Stroke Institute, Seoul, Korea.
Bon-Kwon KooDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.
Anthony YezziDepartment of Electrical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Ernest V GarciaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Emory University · USSeoul National University Hospital · KRGeorgia Institute of Technology · USSamsung Medical Center · KRChonnam National University · KREmory Healthcare · US

Funding

Quantification of myocardial blood flow using Dynamic PET/CTA fused imagery to determine physiological significance of specific coronary lesionsR01HL143350 · NHLBI · EMORY UNIVERSITY · PI PICCINELLI, MARINA · 2018 to 2021
$2.4M
NHLBI NIH HHS R01 HL143350NHLBI NIH HHS R01 HL143350-03
6 · The paper itself

Abstract

backgroundPositron emission tomography (PET)-derived LV MBF quantification is usually measured in standard anatomical vascular territories potentially averaging flow from normally perfused tissue with those from areas with abnormal flow supply. Previously we reported on an image-based tool to noninvasively measure absolute myocardial blood flow at locations just below individual epicardial vessel to help guide revascularization. The aim of this work is to determine the robustness of vessel-specific flow measurements (MBF

methodsForty-three patients'

resultsOf the 43 patients CCTA fully automated mask models, 27 patients' borders required manual correction before dPET/CCTA image fusion, but this editing process was brief (2-3 min) allowing a 100% success rate of extracting MBF

conclusionFully automated and manually corrected myocardial CCTA segmentation provides anatomical masks in clinically acceptable times for vessel-specific myocardial blood flow measurements using dynamic PET/CCTA image fusion which are not significantly different in flow accuracy and within clinically acceptable processing times compared to fully manually segmented CCTA myocardial masks.

Indexed as

Absolute myocardial blood flowCardiac PETCoronary CTAMultimodality image fusionVessel-specific quantification

Identifiers

PMID35165793
PMCPMC8844325
OpenAlexW4212802198

What OpenQuestion holds

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Registered trials

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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.