Evidence map›Paper›PMID 33778554›Full record

ArticleRadiology. Cardiothoracic imaging2020

Multimodal Multiparametric Three-dimensional Image Fusion in Coronary Artery Disease: Combining the Best of Two Worlds.

Jochen von Spiczak, Manoj Mannil, Hanna Model, Chris Schwemmer, Sebastian Kozerke, Frank Ruschitzka, Hatem Alkadhi, Robert Manka

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

Article in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

8 authors at 1 institution in 1 country.

Jochen von SpiczakInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).ORCID 0000-0002-1978-1535
Manoj MannilInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).
Hanna ModelInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).ORCID 0000-0002-8063-6900
Chris SchwemmerInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).
Sebastian KozerkeInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).
Frank RuschitzkaInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).ORCID 0000-0001-5972-0596
Hatem AlkadhiInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).ORCID 0000-0002-2581-2166
Robert MankaInstitute of Diagnostic and Interventional Radiology (J.v.S., M.M., H.M., H.A., R.M.) and Department of Cardiology, University Heart Center (F.R., R.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Siemens Healthineers, Forchheim, Germany (C.S.); and Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland (J.v.S., S.K., R.M.).
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo allow for comprehensive noninvasive diagnostics of coronary artery disease (CAD) by using three-dimensional (3D) image fusion of CT coronary angiography, CT-derived fractional flow reserve (CT FFR), whole-heart dynamic 3D cardiac MRI perfusion, and 3D cardiac MRI late gadolinium enhancement (LGE). MATERIALS AND

methodsSeventeen patients (54 years ± 10 [standard deviation], one female) who underwent cardiac CT and cardiac MRI were included (combined subcohort of three prospective trials). Software facilitating multimodal 3D image fusion was developed. Postprocessing of CT data included segmentation of the coronary tree and heart contours, calculation of CT FFR values, and color coding of the coronary tree according to CT FFR. Postprocessing of cardiac MRI data included segmentation of the left ventricle (LV) in cardiac MRI perfusion and cardiac MRI LGE, co-registration of cardiac MRI to CT data, and projection of cardiac MRI perfusion and LGE values onto the high spatial resolution LV from CT.

resultsImage quality was rated as good to excellent (scores: 2.5-2.6; 3 = excellent). CT coronary angiography revealed significant stenoses in seven of 17 cases (41%). CT FFR was possible in 16 of 17 cases (94%) and showed pathologic flow in seven of 17 cases (41%), six of which coincided with cases revealing significant stenoses at CT coronary angiography. Cardiac MRI perfusion identified eight of 17 patients (47%) with hypoperfusion (ischemic burden of 17% ± 5). Cardiac MRI LGE showed myocardial scar in three of 17 cases (18%, scar burden of 7% ± 4). Conventional two-dimensional readout of CT coronary angiography and cardiac MRI resulted in eight of 17 cases (47%) with uncertain findings. Most of these divergent findings could be solved when adding information from CT FFR and 3D image fusion (six of eight, 75%).

conclusionMultimodal 3D cardiac image fusion is feasible and may help with comprehensive noninvasive CAD diagnostics.

Identifiers

PMID33778554
PMCPMC7977970
OpenAlexW3017099752

What OpenQuestion holds

Textmetadata
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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.