Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

Home
Search
Quick Search
Advanced
Fulltext
Browse
Collections
Persons
My eDoc
Session History
Login
Name:
Password:
Documentation
Help
Support Wiki
Direct access to
document ID:


          Institute: MPI für molekulare Biomedizin     Collection: Jahrbuch 2018 (publ. 2017, arch)     Display Documents



  history
ID: 744152.0, MPI für molekulare Biomedizin / Jahrbuch 2018 (publ. 2017, arch)
VIPAR, a quantitative approach to 3D histopathology applied to lymphatic malformations
Authors:Hagerling, R.; Drees, D.; Scherzinger, A.; Dierkes, C.; Martin-Almedina, S.; Butz, S.; Gordon, K.; Schafers, M.; Hinrichs, K.; Ostergaard, P.; Vestweber, D.; Goerge, T.; Mansour, S.; Jiang, X.; Mortimer, P. S.; Kiefer, F.
Date of Publication (YYYY-MM-DD):2017-08-17
Title of Journal:Jci Insight
Volume:2
Issue / Number:16
Review Status:Internal review
Audience:Not Specified
Abstract / Description:BACKGROUND: Lack of investigatory and diagnostic tools has been a major contributing factor to the failure to mechanistically understand lymphedema and other lymphatic disorders in order to develop effective drug and surgical therapies. One difficulty has been understanding the true changes in lymph vessel pathology from standard 2D tissue sections. METHODS: VIPAR (volume information-based histopathological analysis by 3D reconstruction and data extraction), a light-sheet microscopy-based approach for the analysis of tissue biopsies, is based on digital reconstruction and visualization of microscopic image stacks. VIPAR allows semiautomated segmentation of the vasculature and subsequent nonbiased extraction of characteristic vessel shape and connectivity parameters. We applied VIPAR to analyze biopsies from healthy lymphedematous and lymphangiomatous skin. RESULTS: Digital 3D reconstruction provided a directly visually interpretable, comprehensive representation of the lymphatic and blood vessels in the analyzed tissue volumes. The most conspicuous features were disrupted lymphatic vessels in lymphedematous skin and a hyperplasia (4.36-fold lymphatic vessel volume increase) in the lymphangiomatous skin. Both abnormalities were detected by the connectivity analysis based on extracted vessel shape and structure data. The quantitative evaluation of extracted data revealed a significant reduction of lymphatic segment length (51.3% and 54.2%) and straightness (89.2% and 83.7%) for lymphedematous and lymphangiomatous skin, respectively. Blood vessel length was significantly increased in the lymphangiomatous sample (239.3%). CONCLUSION: VIPAR is a volume-based tissue reconstruction data extraction and analysis approach that successfully distinguished healthy from lymphedematous and lymphangiomatous skin. Its application is not limited to the vascular systems or skin. FUNDING: Max Planck Society, DFG (SFB 656), and Cells-in-Motion Cluster of Excellence EXC 1003.
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Communicated by:MPI für molekulare Biomedizin
Affiliations:MPI für molekulare Biomedizin
External Affiliations:Pattern Recognition and Image Analysis Group, Department of Computer Science, and. Visualization and Computer Graphics Group, Department of Computer Science, University of Munster, Munster, Germany. Molecular and Clinical Sciences Institute, St. George's University of London, London, United Kingdom. Department Vascular Cell Biology, Max Planck Institute for Molecular Biomedicine, Munster, Germany. European Institute for Molecular Imaging, University of Munster, Munster, Germany. DFG Cells-in-Motion Cluster of Excellence 1003, Munster, Germany. Department of Dermatology, University Hospital of Munster, Munster, Germany.
Identifiers:ISSN:2379-3708 (Electronic) 2379-3708 (Linking) %R 10.1... [ID No:1]
URL:https://www.ncbi.nlm.nih.gov/pubmed/28814672 [ID No:2]
The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.