Literature DB >> 34802259

Quantification of Cartilage Surface Degeneration by Curvature Analysis Using 3D Scanning in a Rabbit Model.

Dawei Liang1, Tomohiro Onodera1, Masanari Hamasaki1, Ryosuke Hishimura1, Kentaro Homan1, Liang Xu1, Yuan Tian1, Satoshi Kanai2, Norimasa Iwasaki1.   

Abstract

OBJECTIVE: Accurate analysis to quantify cartilage morphology is critical for evaluating degenerative conditions in osteoarthritis (OA). Three-dimensional (3D) optical scanning provides 3D data for the entire cartilage surface; however, there is no consensus on how to quantify it. Our purpose was to validate a 3D method for evaluating spatiotemporal alterations in degenerative cartilages in a rabbit OA model by analyzing their curvatures at various stages of progression.
DESIGN: Twelve rabbits underwent anterior cruciate ligament transection (ACLT) unilaterally and were divided into 4 groups: 4 weeks control, 4 weeks OA, 8 weeks control, and 8 weeks OA. 3D scanning, India ink staining, and histological assessments were performed in all groups. In 3D curvature visualization, the surfaces of the condyles were divided into 8 areas. The standard deviations (SD) of mean curvatures from all vertices of condylar surfaces and subareas were calculated.
RESULTS: Regarding the site of OA change, curvature analysis was consistent with India ink scoring. The SD of mean curvature correlated strongly with the India ink Osteoarthritis Research Society International (OARSI) score. In curvature histograms, the curvature distribution in OA was more scattered than in control. Of the 8 areas, significant OA progression in the posterolateral part of the lateral condyle (L-PL) was observed at 4 weeks. The histology result was consistent with the 3D evaluation in terms of representative section.
CONCLUSIONS: This study demonstrated that 3D scanning with curvature analysis can quantify the severity of cartilage degeneration objectively. Furthermore, the L-PL was found to be the initial area where OA degeneration occurred in the rabbit ACLT model.

Entities:  

Keywords:  3D scanning; curvature; knee; osteoarthritis

Mesh:

Year:  2021        PMID: 34802259      PMCID: PMC8804731          DOI: 10.1177/19476035211059597

Source DB:  PubMed          Journal:  Cartilage        ISSN: 1947-6035            Impact factor:   3.117


  22 in total

1.  Construction of Neuroanatomical Volumetric Models Using 3-Dimensional Scanning Techniques: Technical Note and Applications.

Authors:  Roberto Rodriguez Rubio; Joseph Shehata; Ioannis Kournoutas; Ricky Chae; Vera Vigo; Minghao Wang; Ivan El-Sayed; Adib A Abla
Journal:  World Neurosurg       Date:  2019-03-18       Impact factor: 2.104

2.  Scan-rescan precision of subchondral bone curvature maps from routine 3D DESS water excitation sequences: Data from the Osteoarthritis Initiative.

Authors:  Joshua M Farber; Saara M S Totterman; Antonio Martinez-Torteya; Jose G Tamez-Peña
Journal:  Comput Biol Med       Date:  2015-12-23       Impact factor: 4.589

3.  The OARSI histopathology initiative - recommendations for histological assessments of osteoarthritis in the rabbit.

Authors:  S Laverty; C A Girard; J M Williams; E B Hunziker; K P H Pritzker
Journal:  Osteoarthritis Cartilage       Date:  2010-10       Impact factor: 6.576

4.  Articular cartilage surface roughness as an imaging-based morphological indicator of osteoarthritis: A preliminary investigation of osteoarthritis initiative subjects.

Authors:  Michael D Newton; Jeffrey Osborne; Karissa Gawronski; Kevin C Baker; Tristan Maerz
Journal:  J Orthop Res       Date:  2017-05-23       Impact factor: 3.494

5.  Mechanically stimulated biomarkers signal cartilage changes over 5 years consistent with disease progression in medial knee osteoarthritis patients.

Authors:  Constance R Chu; Shikha Sheth; Jennifer C Erhart-Hledik; Bao Do; Matthew R Titchenal; Thomas P Andriacchi
Journal:  J Orthop Res       Date:  2017-09-27       Impact factor: 3.494

6.  Osteoarthritis may not be a one-way-road of cartilage loss--comparison of spatial patterns of cartilage change between osteoarthritic and healthy knees.

Authors:  R J Buck; B T Wyman; M-P Hellio Le Graverand; M Hudelmaier; W Wirth; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2009-11-24       Impact factor: 6.576

7.  Down-regulation of cathepsin K in synovium leads to progression of osteoarthritis in rabbits.

Authors:  Daisuke Takahashi; Norimasa Iwasaki; Shigeyuki Kon; Yuichiro Matsui; Tokifumi Majima; Akio Minami; Toshimitsu Uede
Journal:  Arthritis Rheum       Date:  2009-08

Review 8.  Epidemiology of Posttraumatic Osteoarthritis.

Authors:  Abbey C Thomas; Tricia Hubbard-Turner; Erik A Wikstrom; Riann M Palmieri-Smith
Journal:  J Athl Train       Date:  2016-05-04       Impact factor: 2.860

9.  Three-dimensional mapping of the joint space for the diagnosis of knee osteoarthritis based on high resolution computed tomography: Comparison with radiographic, outerbridge, and meniscal classifications.

Authors:  Houda Mezlini-Gharsallah; Rabaa Youssef; Stéphanie Uk; Jean D Laredo; Christine Chappard
Journal:  J Orthop Res       Date:  2018-04-27       Impact factor: 3.494

10.  Predicting soil thickness on soil mantled hillslopes.

Authors:  Nicholas R Patton; Kathleen A Lohse; Sarah E Godsey; Benjamin T Crosby; Mark S Seyfried
Journal:  Nat Commun       Date:  2018-08-20       Impact factor: 14.919

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