Characterizing Bovine Meniscus Wear Using PLM and Brightfield Imaging

Meniscal degeneration is a leading cause of knee osteoarthritis, affecting 55% of individuals over age 70. Our current research investigates the structural integrity of worn menisci; however, techniques to evaluate fiber fraying and degenerative changes at the superficial surface are limited. The objective of this research was to develop methods to characterize these changes at the superficial layer of bovine meniscus previously subjected to varying loading magnitudes. Brightfield (BF) and polarized-light microscopy (PLM) were used to image the worn meniscus samples (n = 3 per specimen; n = 153 total). Using our custom 0-4 scoring system, three trained individuals graded fiber fraying severity from BF images, where scores for each specimen were summed to determine an overall fraying grade (grade 1-4). The thickness of the superficial layer was assessed from PLM images using custom criteria to ensure consistency. The application of the grading scale resulted in strong inter-rater and intra-rater agreement (ICC = 0.92 and 0.90 to 0.93, respectively). The PLM measurements indicated decreasing layer thickness with increasing loading magnitudes, although inter-rater agreement was low (ICC = 0.012). This study advances characterization of meniscus degenerative changes through microscopy techniques, enhancing future research on meniscus wear responses through histological assessment.

Publication Details

Journal
ScholarWorks (Boise State University)
Published
2025-04-15
Primary Topic
Ancient Mediterranean Archaeology and History
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterizing Bovine Meniscus Wear Using PLM and Brightfield Imaging

ScholarWorks (Boise State University)
Ancient Mediterranean Archaeology and History
article

Characterizing Bovine Meniscus Wear Using PLM and Brightfield Imaging

article en

Abstract

Meniscal degeneration is a leading cause of knee osteoarthritis, affecting 55% of individuals over age 70. Our current research investigates the structural integrity of worn menisci; however, techniques to evaluate fiber fraying and degenerative changes at the superficial surface are limited. The objective of this research was to develop methods to characterize these changes at the superficial layer of bovine meniscus previously subjected to varying loading magnitudes. Brightfield (BF) and polarized-light microscopy (PLM) were used to image the worn meniscus samples (n = 3 per specimen; n = 153 total). Using our custom 0-4 scoring system, three trained individuals graded fiber fraying severity from BF images, where scores for each specimen were summed to determine an overall fraying grade (grade 1-4). The thickness of the superficial layer was assessed from PLM images using custom criteria to ensure consistency. The application of the grading scale resulted in strong inter-rater and intra-rater agreement (ICC = 0.92 and 0.90 to 0.93, respectively). The PLM measurements indicated decreasing layer thickness with increasing loading magnitudes, although inter-rater agreement was low (ICC = 0.012). This study advances characterization of meniscus degenerative changes through microscopy techniques, enhancing future research on meniscus wear responses through histological assessment.

ScholarWorks (Boise State University)
Openalex Percentile: Top 42%
Ancient Mediterranean Archaeology and History
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Characterizing Bovine Meniscus Wear Using PLM and Brightfield Imaging · ScholarWorks (Boise State University) (2025) | TGRS Research Map | TGRS