Evidence map›Paper›PMID 28442244›Full record

ArticleJournal of cardiovascular computed tomography

Automatic high-resolution infarct detection using volumetric multiphase dual-energy CT.

Veit Sandfort, Alan C Kwan, Comfort Elumogo, Davis M Vigneault, Rolf Symons, Amir Pourmorteza, Kelly Rice, Cynthia Davies-Venn, Mark A Ahlman, Chia-Ying Liu and 2 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular computed tomography. 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 40% 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, 7 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 3 institutions in 1 country.

Veit SandfortRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Alan C KwanThe Johns Hopkins Hospital, Department of Medicine, Baltimore, MD, USA.
Comfort ElumogoRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Davis M VigneaultRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Rolf SymonsRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Amir PourmortezaRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Kelly RiceORS Division of Veterinary Resources, National Institutes of Health, Bethesda, MD, USA.
Cynthia Davies-VennRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Mark A AhlmanRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Chia-Ying LiuRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA.
Stefan L ZimmermanThe Johns Hopkins Hospital, Department of Medicine, Baltimore, MD, USA.
David A BluemkeRadiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA. Electronic address: bluemked@cc.nih.gov.
National Institutes of Health Clinical Center · USJohns Hopkins Hospital · USNational Institutes of Health · US

Funding

Molecular Biomedical Imaging Laboratory (NIBIB)ZIAEB000072 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI BLUEMKE, DAVID · 2010 to 2017
$5.0M
Molecular Biomedical Imaging Laboratory (CC)ZIACL090019 · CLC · CLINICAL CENTER · PI JONES, ELIZABETH C. · 2010 to 2017
$0k
Intramural NIH HHS ZIA CL090019Intramural NIH HHS ZIA EB000072
6 · The paper itself

Abstract

objectivesLate contrast enhancement CT (LCE-CT) visualizes the presence of myocardial infarcts. Differentiation of the contrast-enhanced infarct from blood pool is challenging. We developed a novel method using data from first pass CT angiography (CTA) imaging to enable automatic infarct detection. MATERIALS AND

methodsA canine model of myocardial infarction was produced in 11 animals. Two months later, first pass CTA (90 kVp) and LCE-CT (dual energy 90 kVp/150 kVp tin filtered) were performed. Late gadolinium enhancement MRI was used as reference standard. The CTA and LCE-CT were co-registered using a fully automatic non-rigid method based on curved B-splines. The method allowed for limited elastic deformation and the considerable differences in attenuation between first-pass and delayed image. The blood pool was easily identified on the CTA image by high attenuation. Because CTA and LCE-CT were registered, the blood pool segmentation can be directly transferred to the LCE-CT - thereby solving the key problem of infarct/blood pool differentiation. The remaining segmentation of infarcted vs. noninfarcted myocardium was performed using a threshold. Automatic and MRI-guided expert segmentations of LCE-CT infarcts were compared to each other on volume and area basis (intraclass correlation coefficient, ICC) and on voxel basis (dice similarity coefficient, DSC between automatic and expert CT segmentation). CT infarct volumes were compared with the reference standard MRI.

resultsThe infarcts were mainly subendocardial (81%) and relatively small (median MRI infarct mass 7.4 g). The automatic segmentation showed excellent agreement with expert segmentation on volume and area measurements (ICC = 0.96 and 0.87, respectively). DSC showed moderately good agreement (DSC = 0.47). Compared to MRI there was modest agreement (ICC = 0.62) and excellent correlation (R = 0.9). Manual interaction was less than 1 min per exam.

conclusionWe propose an automatic method for infarct segmentation on LCE-CT using multiphase CT information, which showed excellent agreement with expert readers and favorable correlation with MRI.

Indexed as

AnimalsAutomationComputed Tomography AngiographyContrast MediaCoronary AngiographyDisease Models, AnimalDogsMagnetic Resonance ImagingMaleMyocardial InfarctionPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsContrast MediaDelayed iodine contrastLate contrast enhancement CTMyocardial infarct

Identifiers

PMID28442244
PMCPMC5493020
OpenAlexW2607118205

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.