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Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative

BACKGROUND: To determine the validity of a semi-automated segmentation of bone marrow lesions (BMLs) in the knee. METHODS: Construct validity of the semi-automated BML segmentation method was explored in two studies performed using sagittal intermediate weighted, turbo spine echo, fat-suppressed mag...

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Autores principales: Pang, Jincheng, Driban, Jeffrey B, Destenaves, Geoffroy, Miller, Eric, Lo, Grace H, Ward, Robert J, Price, Lori Lyn, Lynch, John A, Eaton, Charles B, Eckstein, Felix, McAlindon, Timothy E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637109/
https://www.ncbi.nlm.nih.gov/pubmed/23281825
http://dx.doi.org/10.1186/1471-2474-14-3
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author Pang, Jincheng
Driban, Jeffrey B
Destenaves, Geoffroy
Miller, Eric
Lo, Grace H
Ward, Robert J
Price, Lori Lyn
Lynch, John A
Eaton, Charles B
Eckstein, Felix
McAlindon, Timothy E
author_facet Pang, Jincheng
Driban, Jeffrey B
Destenaves, Geoffroy
Miller, Eric
Lo, Grace H
Ward, Robert J
Price, Lori Lyn
Lynch, John A
Eaton, Charles B
Eckstein, Felix
McAlindon, Timothy E
author_sort Pang, Jincheng
collection PubMed
description BACKGROUND: To determine the validity of a semi-automated segmentation of bone marrow lesions (BMLs) in the knee. METHODS: Construct validity of the semi-automated BML segmentation method was explored in two studies performed using sagittal intermediate weighted, turbo spine echo, fat-suppressed magnetic resonance imaging sequences obtained from the Osteoarthritis Initiative. The first study (n = 48) evaluated whether tibia BML volume was different across Boston Leeds Osteoarthritis Knee Scores (BLOKS) for tibia BMLs (semiquantitative grades 0 to 3). In the second study (n = 40), we evaluated whether BML volume change was associated with changes in cartilage parameters. The knees in both studies were segmented by one investigator. We performed Wilcoxon signed-rank tests to determine if tibia BML volume was different between adjacent BLOKS BML scores and calculated Spearman correlation coefficients to assess the relationship between 2-year BML volume change and 2-year cartilage morphometry change (significance was p ≤ 0.05). RESULTS: BML volume was significantly greater between BLOKS BML score 0 and 1 (z = 2.85, p = 0.004) and BLOKS BML scores 1 and 2 (z = 3.09, p = 0.002). There was no significant difference between BLOKS BML scores 2 and 3 (z = −0.30, p = 0.77). Increased tibia BML volume was significantly related to increased tibia denuded area (Spearman r = 0.42, p = 0.008), decreased tibia cartilage thickness (Spearman r = −0.46, p = 0.004), increased femur denuded area (Spearman r = 0.35, p = 0.03), and possibly decreased femur cartilage thickness (Spearman r = −0.30, p = 0.07) but this last finding was not statistically significant. CONCLUSION: The new, efficient, and reliable semi-automated BML segmentation method provides valid BML volume measurements that increase with greater BLOKS BML scores and confirms previous reports that BML size is associated with longitudinal cartilage loss.
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spelling pubmed-36371092013-04-27 Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative Pang, Jincheng Driban, Jeffrey B Destenaves, Geoffroy Miller, Eric Lo, Grace H Ward, Robert J Price, Lori Lyn Lynch, John A Eaton, Charles B Eckstein, Felix McAlindon, Timothy E BMC Musculoskelet Disord Research Article BACKGROUND: To determine the validity of a semi-automated segmentation of bone marrow lesions (BMLs) in the knee. METHODS: Construct validity of the semi-automated BML segmentation method was explored in two studies performed using sagittal intermediate weighted, turbo spine echo, fat-suppressed magnetic resonance imaging sequences obtained from the Osteoarthritis Initiative. The first study (n = 48) evaluated whether tibia BML volume was different across Boston Leeds Osteoarthritis Knee Scores (BLOKS) for tibia BMLs (semiquantitative grades 0 to 3). In the second study (n = 40), we evaluated whether BML volume change was associated with changes in cartilage parameters. The knees in both studies were segmented by one investigator. We performed Wilcoxon signed-rank tests to determine if tibia BML volume was different between adjacent BLOKS BML scores and calculated Spearman correlation coefficients to assess the relationship between 2-year BML volume change and 2-year cartilage morphometry change (significance was p ≤ 0.05). RESULTS: BML volume was significantly greater between BLOKS BML score 0 and 1 (z = 2.85, p = 0.004) and BLOKS BML scores 1 and 2 (z = 3.09, p = 0.002). There was no significant difference between BLOKS BML scores 2 and 3 (z = −0.30, p = 0.77). Increased tibia BML volume was significantly related to increased tibia denuded area (Spearman r = 0.42, p = 0.008), decreased tibia cartilage thickness (Spearman r = −0.46, p = 0.004), increased femur denuded area (Spearman r = 0.35, p = 0.03), and possibly decreased femur cartilage thickness (Spearman r = −0.30, p = 0.07) but this last finding was not statistically significant. CONCLUSION: The new, efficient, and reliable semi-automated BML segmentation method provides valid BML volume measurements that increase with greater BLOKS BML scores and confirms previous reports that BML size is associated with longitudinal cartilage loss. BioMed Central 2013-01-02 /pmc/articles/PMC3637109/ /pubmed/23281825 http://dx.doi.org/10.1186/1471-2474-14-3 Text en Copyright © 2013 Pang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pang, Jincheng
Driban, Jeffrey B
Destenaves, Geoffroy
Miller, Eric
Lo, Grace H
Ward, Robert J
Price, Lori Lyn
Lynch, John A
Eaton, Charles B
Eckstein, Felix
McAlindon, Timothy E
Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
title Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
title_full Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
title_fullStr Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
title_full_unstemmed Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
title_short Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
title_sort quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637109/
https://www.ncbi.nlm.nih.gov/pubmed/23281825
http://dx.doi.org/10.1186/1471-2474-14-3
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