Literature DB >> 33138726

Standardization of Microcomputed Tomography for Tracheal Tissue Engineering Analysis.

Jakob M Townsend1, Robert A Weatherly2, Jed K Johnson3, Michael S Detamore4.   

Abstract

Tracheal tissue engineering has become an active area of interest among clinical and scientific communities; however, methods to evaluate success of in vivo tissue-engineered solutions remain primarily qualitative. These evaluation methods have generally relied on the use of photographs to qualitatively demonstrate tracheal patency, endoscopy to image healing over time, and histology to determine the quality of the regenerated extracellular matrix. Although those generally qualitative methods are valuable, they alone may be insufficient. Therefore, to quantitatively assess tracheal regeneration, we recommend the inclusion of microcomputed tomography (μCT) to quantify tracheal patency as a standard outcome analysis. To establish a standard of practice for quantitative μCT assessment for tracheal tissue engineering, we recommend selecting a constant length to quantify airway volume. Dividing airway volumes by a constant length provides an average cross-sectional area for comparing groups. We caution against selecting a length that is unjustifiably large, which may result in artificially inflating the average cross-sectional area and thereby diminishing the ability to detect actual differences between a test group and a healthy control. Therefore, we recommend selecting a length for μCT assessment that corresponds to the length of the defect region. We further recommend quantifying the minimum cross-sectional area, which does not depend on the length, but has functional implications for breathing. We present empirical data to elucidate the rationale for these recommendations. These empirical data may at first glance appear as expected and unsurprising. However, these standard methods for performing μCT and presentation of results do not yet exist in the literature, and are necessary to improve reporting within the field. Quantitative analyses will better enable comparisons between future publications within the tracheal tissue engineering community and empower a more rigorous assessment of results. Impact statement The current study argues for the standardization of microcomputed tomography (μCT) as a quantitative method for evaluating tracheal tissue-engineered solutions in vivo or ex vivo. The field of tracheal tissue engineering has generally relied on the use of qualitative methods for determining tracheal patency. A standardized quantitative evaluation method currently does not exist. The standardization of μCT for evaluation of in vivo studies would enable a more robust characterization and allow comparisons between groups within the field. The impact of standardized methods within the tracheal tissue engineering field as presented in the current study would greatly improve the quality of published work.

Keywords:  microcomputed tomography; trachea; tracheal lumen; tracheal stenosis; tracheal tissue engineering

Year:  2020        PMID: 33138726      PMCID: PMC7698849          DOI: 10.1089/ten.TEC.2020.0211

Source DB:  PubMed          Journal:  Tissue Eng Part C Methods        ISSN: 1937-3384            Impact factor:   3.056


  32 in total

Review 1.  Overview of tracheal tissue engineering: clinical need drives the laboratory approach.

Authors:  Lindsey M Ott; Robert A Weatherly; Michael S Detamore
Journal:  Ann Biomed Eng       Date:  2011-05-19       Impact factor: 3.934

2.  Tracheal replacement.

Authors:  H C Grillo
Journal:  Ann Thorac Surg       Date:  1990-06       Impact factor: 4.330

Review 3.  3D bioprinting for lungs and hollow organs.

Authors:  Zachary Galliger; Caleb D Vogt; Angela Panoskaltsis-Mortari
Journal:  Transl Res       Date:  2019-05-14       Impact factor: 7.012

4.  Update of the Cincinnati experience in pediatric laryngotracheal reconstruction.

Authors:  R T Cotton; S D Gray; R P Miller
Journal:  Laryngoscope       Date:  1989-11       Impact factor: 3.325

5.  Tissue-Engineered Trachea Consisting of Electrospun Patterned sc-PLA/GO- g-IL Fibrous Membranes with Antibacterial Property and 3D-Printed Skeletons with Elasticity.

Authors:  Yuan Kang; Chaoli Wang; Youbei Qiao; Junwei Gu; Han Zhang; Ton Peijs; Jie Kong; Guangcheng Zhang; Xuetao Shi
Journal:  Biomacromolecules       Date:  2019-03-19       Impact factor: 6.988

6.  Tissue-engineered trachea from a 3D-printed scaffold enhances whole-segment tracheal repair in a goat model.

Authors:  Dekai Xia; Dawei Jin; Qian Wang; Manchen Gao; Jialing Zhang; Hengyi Zhang; Jie Bai; Bei Feng; Maolin Chen; Yanhui Huang; Yumin Zhong; Nevin Witman; Wei Wang; Zhiwei Xu; Haibo Zhang; Meng Yin; Wei Fu
Journal:  J Tissue Eng Regen Med       Date:  2019-04-01       Impact factor: 3.963

7.  End-to-end anastomosis in the management of laryngotracheal defects.

Authors:  E D Gozen; M Yener; Z B Erdur; E Karaman
Journal:  J Laryngol Otol       Date:  2017-03-13       Impact factor: 1.469

8.  Biodegradable electrospun patch containing cell adhesion or antimicrobial compounds for trachea repair in vivo.

Authors:  Jakob M Townsend; Makenna E Hukill; Kar-Ming Fung; Devan G Ohst; Jed K Johnson; Robert A Weatherly; Michael S Detamore
Journal:  Biomed Mater       Date:  2020-02-17       Impact factor: 3.715

9.  3D Bioprinted Artificial Trachea with Epithelial Cells and Chondrogenic-Differentiated Bone Marrow-Derived Mesenchymal Stem Cells.

Authors:  Sang-Woo Bae; Kang-Woog Lee; Jae-Hyun Park; JunHee Lee; Cho-Rok Jung; JunJie Yu; Hwi-Yool Kim; Dae-Hyun Kim
Journal:  Int J Mol Sci       Date:  2018-05-31       Impact factor: 5.923

10.  Experimental Tracheal Replacement Using 3-dimensional Bioprinted Artificial Trachea with Autologous Epithelial Cells and Chondrocytes.

Authors:  Jae-Hyun Park; Jeong-Kee Yoon; Jung Bok Lee; Young Min Shin; Kang-Woog Lee; Sang-Woo Bae; JunHee Lee; JunJie Yu; Cho-Rok Jung; Young-Nam Youn; Hwi-Yool Kim; Dae-Hyun Kim
Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

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  1 in total

Review 1.  Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip.

Authors:  Wanying Gao; Chunyan Wang; Qiwei Li; Xijing Zhang; Jianmin Yuan; Dianfu Li; Yu Sun; Zaozao Chen; Zhongze Gu
Journal:  Front Bioeng Biotechnol       Date:  2022-09-12
  1 in total

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