Quantification of cartilage loss in local regions of knee joints using semi-automated segmentation software

Analysis of longitudinal data from the Osteoarthritis Initiative (OAI)

Tannaz Iranpour Boroujeni, A. Watanabe, R. Bashtar, H. Yoshioka, J. Duryea

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Introduction: Quantitative cartilage morphometry is a valuable tool to assess osteoarthritis (OA) progression. Current methodologies generally evaluate cartilage morphometry in a full or partial sub-region of the cartilage plates. This report describes the evaluation of a semi-automated cartilage segmentation software tool capable of quantifying cartilage loss in a local indexed region. Methods: We examined the baseline and 24-month follow-up MRI image sets of twenty-four subjects from the progression cohort of Osteoarthritis Initiative (OAI), using the Kellgren-Lawrence (KL) score of 3 at baseline as the inclusion criteria. A radiologist independently marked a single region of local thinning for each subject, and three additional readers, blinded to time point, segmented the cartilage using a semi-automated software method. Each baseline-24-month segmentation pair was then registered in 3D and the change in cartilage volume was measured. Results: After 3D registration, the change in cartilage volume was calculated in specified regions centered at the marked point, and for the entire medial compartment of femur. The responsiveness was quantified using the standardized response mean (SRM) values and the percentage of subjects that showed a loss in cartilage volume. The most responsive measure of change was SRM = -1.21, and was found for a region of 10. mm from the indexed point. Discussion: The results suggest that measurement of cartilage loss in a local region is superior to larger areas and to the total plate. There also may be an optimal region size (10. mm from an indexed point) in which to measure change. In principle, the method is substantially faster than segmenting entire plates or sub-regions.

Original languageEnglish (US)
Pages (from-to)309-314
Number of pages6
JournalOsteoarthritis and Cartilage
Volume19
Issue number3
DOIs
StatePublished - Mar 2011
Externally publishedYes

Fingerprint

Cartilage
Knee Joint
Osteoarthritis
Software
Femur
Magnetic resonance imaging

Keywords

  • Cartilage
  • Knee osteoarthritis
  • Magnetic resonance imaging
  • Software segmentation
  • Three-dimensional registration

ASJC Scopus subject areas

  • Biomedical Engineering
  • Orthopedics and Sports Medicine
  • Rheumatology

Cite this

@article{2f184a8c663e4b828b82ae2ad4e29f6f,
title = "Quantification of cartilage loss in local regions of knee joints using semi-automated segmentation software: Analysis of longitudinal data from the Osteoarthritis Initiative (OAI)",
abstract = "Introduction: Quantitative cartilage morphometry is a valuable tool to assess osteoarthritis (OA) progression. Current methodologies generally evaluate cartilage morphometry in a full or partial sub-region of the cartilage plates. This report describes the evaluation of a semi-automated cartilage segmentation software tool capable of quantifying cartilage loss in a local indexed region. Methods: We examined the baseline and 24-month follow-up MRI image sets of twenty-four subjects from the progression cohort of Osteoarthritis Initiative (OAI), using the Kellgren-Lawrence (KL) score of 3 at baseline as the inclusion criteria. A radiologist independently marked a single region of local thinning for each subject, and three additional readers, blinded to time point, segmented the cartilage using a semi-automated software method. Each baseline-24-month segmentation pair was then registered in 3D and the change in cartilage volume was measured. Results: After 3D registration, the change in cartilage volume was calculated in specified regions centered at the marked point, and for the entire medial compartment of femur. The responsiveness was quantified using the standardized response mean (SRM) values and the percentage of subjects that showed a loss in cartilage volume. The most responsive measure of change was SRM = -1.21, and was found for a region of 10. mm from the indexed point. Discussion: The results suggest that measurement of cartilage loss in a local region is superior to larger areas and to the total plate. There also may be an optimal region size (10. mm from an indexed point) in which to measure change. In principle, the method is substantially faster than segmenting entire plates or sub-regions.",
keywords = "Cartilage, Knee osteoarthritis, Magnetic resonance imaging, Software segmentation, Three-dimensional registration",
author = "{Iranpour Boroujeni}, Tannaz and A. Watanabe and R. Bashtar and H. Yoshioka and J. Duryea",
year = "2011",
month = "3",
doi = "10.1016/j.joca.2010.12.002",
language = "English (US)",
volume = "19",
pages = "309--314",
journal = "Osteoarthritis and Cartilage",
issn = "1063-4584",
publisher = "W.B. Saunders Ltd",
number = "3",

}

TY - JOUR

T1 - Quantification of cartilage loss in local regions of knee joints using semi-automated segmentation software

T2 - Analysis of longitudinal data from the Osteoarthritis Initiative (OAI)

AU - Iranpour Boroujeni, Tannaz

AU - Watanabe, A.

AU - Bashtar, R.

AU - Yoshioka, H.

AU - Duryea, J.

PY - 2011/3

Y1 - 2011/3

N2 - Introduction: Quantitative cartilage morphometry is a valuable tool to assess osteoarthritis (OA) progression. Current methodologies generally evaluate cartilage morphometry in a full or partial sub-region of the cartilage plates. This report describes the evaluation of a semi-automated cartilage segmentation software tool capable of quantifying cartilage loss in a local indexed region. Methods: We examined the baseline and 24-month follow-up MRI image sets of twenty-four subjects from the progression cohort of Osteoarthritis Initiative (OAI), using the Kellgren-Lawrence (KL) score of 3 at baseline as the inclusion criteria. A radiologist independently marked a single region of local thinning for each subject, and three additional readers, blinded to time point, segmented the cartilage using a semi-automated software method. Each baseline-24-month segmentation pair was then registered in 3D and the change in cartilage volume was measured. Results: After 3D registration, the change in cartilage volume was calculated in specified regions centered at the marked point, and for the entire medial compartment of femur. The responsiveness was quantified using the standardized response mean (SRM) values and the percentage of subjects that showed a loss in cartilage volume. The most responsive measure of change was SRM = -1.21, and was found for a region of 10. mm from the indexed point. Discussion: The results suggest that measurement of cartilage loss in a local region is superior to larger areas and to the total plate. There also may be an optimal region size (10. mm from an indexed point) in which to measure change. In principle, the method is substantially faster than segmenting entire plates or sub-regions.

AB - Introduction: Quantitative cartilage morphometry is a valuable tool to assess osteoarthritis (OA) progression. Current methodologies generally evaluate cartilage morphometry in a full or partial sub-region of the cartilage plates. This report describes the evaluation of a semi-automated cartilage segmentation software tool capable of quantifying cartilage loss in a local indexed region. Methods: We examined the baseline and 24-month follow-up MRI image sets of twenty-four subjects from the progression cohort of Osteoarthritis Initiative (OAI), using the Kellgren-Lawrence (KL) score of 3 at baseline as the inclusion criteria. A radiologist independently marked a single region of local thinning for each subject, and three additional readers, blinded to time point, segmented the cartilage using a semi-automated software method. Each baseline-24-month segmentation pair was then registered in 3D and the change in cartilage volume was measured. Results: After 3D registration, the change in cartilage volume was calculated in specified regions centered at the marked point, and for the entire medial compartment of femur. The responsiveness was quantified using the standardized response mean (SRM) values and the percentage of subjects that showed a loss in cartilage volume. The most responsive measure of change was SRM = -1.21, and was found for a region of 10. mm from the indexed point. Discussion: The results suggest that measurement of cartilage loss in a local region is superior to larger areas and to the total plate. There also may be an optimal region size (10. mm from an indexed point) in which to measure change. In principle, the method is substantially faster than segmenting entire plates or sub-regions.

KW - Cartilage

KW - Knee osteoarthritis

KW - Magnetic resonance imaging

KW - Software segmentation

KW - Three-dimensional registration

UR - http://www.scopus.com/inward/record.url?scp=79951855245&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951855245&partnerID=8YFLogxK

U2 - 10.1016/j.joca.2010.12.002

DO - 10.1016/j.joca.2010.12.002

M3 - Article

VL - 19

SP - 309

EP - 314

JO - Osteoarthritis and Cartilage

JF - Osteoarthritis and Cartilage

SN - 1063-4584

IS - 3

ER -