A novel alignment procedure to assess calcified coronary plaques in histopathology, post-mortem computed tomography angiography and optical coherence tomography.


Journal

Cardiovascular pathology : the official journal of the Society for Cardiovascular Pathology
ISSN: 1879-1336
Titre abrégé: Cardiovasc Pathol
Pays: United States
ID NLM: 9212060

Informations de publication

Date de publication:
Historique:
received: 25 09 2018
revised: 30 10 2018
accepted: 30 11 2018
pubmed: 1 1 2019
medline: 7 5 2019
entrez: 1 1 2019
Statut: ppublish

Résumé

Improve mapping and registration of longitudinal view on histopathology vessels in a three-dimensional alignment procedure for postmortem quantitative coronary plaque analyses. This new procedure is applied and results shown using calcified coronary plaque analyses within post-mortem computed tomography angiography (PMCTA), optical coherence tomography (OCT) and the gold standard of histopathology. In total, 338 annotated histopathology images were included, 166 PMCTA transversal images and 285 OCT images were aligned in the comparison. The results from the comparison using the alignment procedure showed overall that the calcified plaques seem to be overestimated by PMCTA and underestimated by OCT. The 3D fusion approach, aligning the images of PMCTA, OCT and histopathology as gold standard allowed for a slice-based comparison of the different modalities. The results showed that PMCTA overestimates the calcified plaques while OCT underestimates these, compared to histopathology.

Identifiants

pubmed: 30597423
pii: S1054-8807(18)30284-9
doi: 10.1016/j.carpath.2018.11.005
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

25-29

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Helle Precht (H)

Department of Medical Research, Odense University Hospital Svendborg, Valdemarsgade, 53, Svendborg, Denmark; Conrad Research Center, University College Lillebelt, Niels Bohrs Allé 1, 5230 Odense M, Denmark. Electronic address: hepr@ucl.dk.

Alexander Broersen (A)

Department of Radiology, Division of Image Processing, Leiden University Medical Center, Albinusdreef 2, 2300, RC, Leiden, The Netherlands.

Pieter H Kitslaar (PH)

Department of Radiology, Division of Image Processing, Leiden University Medical Center, Albinusdreef 2, 2300, RC, Leiden, The Netherlands; Medis Medical Imaging Systems bv, Schuttersveld 9, 2300, AJ, Leiden, The Netherlands.

Jouke Dijkstra (J)

Department of Radiology, Division of Image Processing, Leiden University Medical Center, Albinusdreef 2, 2300, RC, Leiden, The Netherlands.

Oke Gerke (O)

Department of Nuclear Medicine, Odense University Hospital, Sdr. Boulevard, 29, Odense C, Denmark; Department of Clinical Research, University of Southern Denmark, , Winsløwparken 19, 5000 Odense C, Denmark.

Jesper Thygesen (J)

Department of Clinical Engineering, Central Denmark Region, Olof Palmes Allé 15, Århus N, Denmark.

Kenneth Egstrup (K)

Department of Medical Research, Odense University Hospital Svendborg, Valdemarsgade, 53, Svendborg, Denmark.

Peter Mygind Leth (PM)

University of Southern Denmark, Institute of Forensic Medicine, J.B. Winsløws Vej 17B, 5000 Odense C, Denmark.

Michael Hardt-Madsen (M)

Odense University Hospital Svendborg, Department of Clinical Pathology, Valdemarsgade 53, 5700 Svendborg, Denmark.

Bjarne Nielsen (B)

Odense University Hospital, Department of Pathology, Sdr. Boulevard, 29, Odense C, Denmark.

Erling Falk (E)

Aarhus University Hospital Skejby, Department of Cardiology, Brendstrupgaardsvej 100, 8200 Aarhus N, Denmark.

Jess Lambrechtsen (J)

Department of Medical Research, Odense University Hospital Svendborg, Valdemarsgade, 53, Svendborg, Denmark.

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Classifications MeSH