Monitoring tissue engineered constructs and protocols with laboratory-based x-ray phase contrast tomography.
3D-imaging
In-vitro organ maturation
Laboratory-based phase contrast computed tomography (PC-CT)
Regenerative medicine
Journal
Acta biomaterialia
ISSN: 1878-7568
Titre abrégé: Acta Biomater
Pays: England
ID NLM: 101233144
Informations de publication
Date de publication:
15 03 2022
15 03 2022
Historique:
received:
13
10
2021
revised:
21
12
2021
accepted:
12
01
2022
pubmed:
21
1
2022
medline:
12
4
2022
entrez:
20
1
2022
Statut:
ppublish
Résumé
Tissue engineering (TE) aims to generate bioengineered constructs which can offer a surgical treatment for many conditions involving tissue or organ loss. Construct generation must be guided by suitable assessment tools. However, most current tools (e.g. histology) are destructive, which restricts evaluation to a single-2D anatomical plane, and has no potential for assessing constructs prior to or following their implantation. An alternative can be provided by laboratory-based x-ray phase contrast computed tomography (PC-CT), which enables the extraction of 3D density maps of an organ's anatomy. In this work, we developed a semi-automated image processing pipeline dedicated to the analysis of PC-CT slices of oesophageal constructs. Visual and quantitative (density and morphological) information is extracted on a volumetric basis, enabling a comprehensive evaluation of the regenerated constructs. We believe the presented tools can enable the successful regeneration of patient-specific oesophagus, and bring comparable benefit to a wide range of TE applications. STATEMENT OF SIGNIFICANCE: Phase contrast computed tomography (PC-CT) is an imaging modality which generates high resolution volumetric density maps of biological tissue. In this work, we demonstrate the use of PC-CT as a new tool for guiding the progression of an oesophageal tissue engineering (TE) protocol. Specifically, we developed a semi-automated image-processing pipeline which analyses the oesophageal PC-CT slices, extracting visual and quantitative (density and morphological) information. This information was proven key for performing a comprehensive evaluation of the regenerated constructs, and cannot be obtained through existing assessment tools primarily due to their destructive nature (e.g. histology). This work paves the way for using PC-CT in a wide range of TE applications which can be pivotal for unlocking the potential of this field.
Identifiants
pubmed: 35051630
pii: S1742-7061(22)00031-9
doi: 10.1016/j.actbio.2022.01.022
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
290-299Subventions
Organisme : Department of Health
ID : NIHR-RP-2014-04-046
Pays : United Kingdom
Informations de copyright
Copyright © 2022. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare no competing interests.