Monitoring tissue engineered constructs and protocols with laboratory-based x-ray phase contrast tomography. (15th March 2022)

• Record Type: Journal Article
• Authors: Savvidis, Savvas; Gerli, Mattia F.M.; Pellegrini, Marco; Massimi, Lorenzo; Hagen, Charlotte K.; Endrizzi, Marco; Atzeni, Alessia; Ogunbiyi, Olumide K.; Turmaine, Mark; Smith, Elizabeth S.; Fagiani, Claudio; Selmin, Giulia; Urbani, Luca; Durkin, Natalie; Shibuya, Soichi; De Coppi, Paolo; Olivo, Alessandro
• Is Part Of: Acta biomaterialia. Volume 141(2022)
• Page Start: 290
• Page End: 299
• Publication Date: 2022-03-15
• Subjects: 3D-imaging -- Laboratory-based phase contrast computed tomography (PC-CT) -- Regenerative medicine -- In-vitro organ maturation; Biomedical materials -- Periodicals; 610.28
• DOI: 10.1016/j.actbio.2022.01.022
• Languages: English
• ISSNs: 1742-7061

Abstract

Abstract: 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. Graphical abstract: Image, graphical abstract