Equivalence and precision of knee cartilage morphometry between different segmentation teams, cartilage regions, and MR acquisitions E. Schneider, M.

Slides:

Advertisements

Similar presentations

Efficacy of ultrasound therapy for the management of knee osteoarthritis: a systematic review with meta-analysis A. Loyola-Sánchez, J. Richardson, N.J.

Advertisements

Anatomical alignment, but not goniometry, predicts femorotibial cartilage loss as well as mechanical alignment: data from the Osteoarthritis Initiative

Changes in patellofemoral and tibiofemoral joint cartilage damage and bone marrow lesions over 7 years: the Multicenter Osteoarthritis Study J.J. Stefanik,

Subregional laminar cartilage MR spin–spin relaxation times (T2) in osteoarthritic knees with and without medial femorotibial cartilage loss – data from.

Validity and responsiveness of a new measure of knee osteophytes for osteoarthritis studies: data from the osteoarthritis initiative M. Hakky, M. Jarraya,

Subchondral bone marrow lesions are highly associated with, and predict subchondral bone attrition longitudinally: the MOST study F.W. Roemer, T. Neogi,

Changes in patellofemoral and tibiofemoral joint cartilage damage and bone marrow lesions over 7 years: the Multicenter Osteoarthritis Study J.J. Stefanik,

Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy S. Koo, M.S., G.E. Gold, M.D., T.P. Andriacchi,

Two year longitudinal change and test–retest-precision of knee cartilage morphology in a pilot study for the osteoarthritis initiative F. Eckstein, M.D.,

T1ρ and T2 relaxation times predict progression of knee osteoarthritis

Predictive validity of within-grade scoring of longitudinal changes of MRI-based cartilage morphology and bone marrow lesion assessment in the tibio-femoral.

The relationships between bone mineral density in the spine, hip, distal femur and proximal tibia and medial minimum joint space width in the knees of.

Validity and sensitivity to change of three scales for the radiographic assessment of knee osteoarthritis using images from the Multicenter Osteoarthritis.

C. D. Jordan, E. J. McWalter, U. D. Monu, R. D. Watkins, W. Chen, N. K

Evaluation of cartilage matrix disorders by T2 relaxation time in patients with hip dysplasia T. Nishii, M.D., H. Tanaka, M.D., N. Sugano, M.D., T. Sakai,

Integration of accelerated MRI and post-processing software: a promising method for studies of knee osteoarthritis J. Duryea, C. Cheng, L.F. Schaefer,

Regional analysis of femorotibial cartilage loss in a subsample from the Osteoarthritis Initiative progression subcohort W. Wirth, M.S., M.-P. Hellio.

7th International Workshop on Osteoarthritis Imaging report: “imaging in OA – now is the time to move ahead” A. Guermazi, F. Eckstein, D. Hunter, F.

Cyst-like lesions of the knee joint and their relation to incident knee pain and development of radiographic osteoarthritis: the MOST study A. Guermazi,

Bone marrow lesions are associated with altered trabecular morphometry

A novel fast knee cartilage segmentation technique for T2 measurements at MR imaging – data from the Osteoarthritis Initiative C. Stehling, T. Baum,

J. Duryea, Ph. D. , G. Neumann, M. D. , M. H. Brem, M. D. , W. Koh, M

The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee C.G. Peterfy, M.D., Ph.D., E.

Sensitivity to Change of 3D Meniscal Measures in Rapidly Progressing Knee Osteoarthritis and Association With Radiographic Joint Space Width Loss M.

Predictive and concurrent validity of cartilage thickness change as a marker of knee osteoarthritis progression: data from the Osteoarthritis Initiative

Accuracy and test–retest precision of quantitative cartilage morphology on a 1.0T peripheral magnetic resonance imaging system D. Inglis, Ph.D., M. Pui,

Differences between X-ray and MRI-determined knee cartilage thickness in weight- bearing and non-weight-bearing conditions M. Marsh, R.B. Souza, B.T.

Volumetric and semiquantitative assessment of MRI-detected subchondral bone marrow lesions in knee osteoarthritis: a comparison of contrast-enhanced and.

J. W. MacKay, P. J. Murray, B. Kasmai, G. Johnson, S. T. Donell, A. P

B. Bittersohl, F. R. Miese, H. S. Hosalkar, M. Herten, G. Antoch, R

Presence, location, type and size of denuded areas of subchondral bone in the knee as a function of radiographic stage of OA – data from the OA initiative

Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by fractal methods P. Podsiadlo, Ph.D., L.

P. -H. Tsai, M. -C. Chou, H. -S. Lee, C. -H. Lee, H. -W. Chung, Y. -C

Radiofrequency (RF) coil impacts the value and reproducibility of cartilage spin–spin (T2) relaxation time measurements B.J. Dardzinski, E. Schneider

D. J. Hunter, D. P. Beavers, F. Eckstein, A. Guermazi, R. F. Loeser, B

Articular cartilage MR imaging and thickness mapping of a loaded knee joint before and after meniscectomy Y. Song, M.S., J.M. Greve, M.S., D.R. Carter,

Relationship between knee pain and the presence, location, size and phenotype of femorotibial denuded areas of subchondral bone as visualized by MRI

DGEMRIC as a tool for measuring changes in cartilage quality following high tibial osteotomy: a feasibility study M. Rutgers, L.W. Bartels, A.I. Tsuchida,

Is increased joint loading detrimental to obese patients with knee osteoarthritis? A secondary data analysis from a randomized trial M. Henriksen, D.J.

Baseline knee adduction and flexion moments during walking are both associated with 5 year cartilage changes in patients with medial knee osteoarthritis

Comparison of 1-year vs 2-year change in regional cartilage thickness in osteoarthritis results from 346 participants from the Osteoarthritis Initiative

Anatomical alignment, but not goniometry, predicts femorotibial cartilage loss as well as mechanical alignment: data from the Osteoarthritis Initiative

Direct comparison of fixed flexion, radiography and MRI in knee osteoarthritis: responsiveness data from the Osteoarthritis Initiative W. Wirth, J. Duryea,

Rates and sensitivity of knee cartilage thickness loss in specific central reading radiographic strata from the osteoarthritis initiative S. Maschek,

Quantification of cartilage loss in local regions of knee joints using semi- automated segmentation software: analysis of longitudinal data from the Osteoarthritis.

The relation of femoral notch stenosis to ACL tears in persons with knee osteoarthritis V. Stein, L. Li, A. Guermazi, Y. Zhang, C. Kent Kwoh, C.B. Eaton,

G. Neumann, D. Hunter, M. Nevitt, L. B. Chibnik, K. Kwoh, H. Chen, T

Structural changes in the knee during weight loss maintenance after a significant weight loss in obese patients with osteoarthritis: a report of secondary.

Quantitative measurement of medial femoral knee cartilage volume – analysis of the OA Biomarkers Consortium FNIH Study cohort L.F. Schaefer, M. Sury,

Meniscectomy alters the dynamic deformational behavior and cumulative strain of tibial articular cartilage in knee joints subjected to cyclic loads Y.

B. C. Roberts, D. Thewlis, L. B. Solomon, G. Mercer, K. J. Reynolds, E

Magnetic resonance imaging (MRI)-defined cartilage degeneration and joint pain are associated with poor physical function in knee osteoarthritis – the.

How do short-term rates of femorotibial cartilage change compare to long-term changes? Four year follow-up data from the osteoarthritis initiative F.

Comparison of BLOKS and WORMS scoring systems part I

Racial differences in biochemical knee cartilage composition between African-American and Caucasian-American women with 3 T MR-based T2 relaxation time.

A novel method for assessing signal intensity within infrapatellar fat pad on MR images in patients with knee osteoarthritis M. Lu, Z. Chen, W. Han,

A pilot study of the reproducibility and validity of measuring knee subchondral bone density in the tibia D. Dore, BBiotech.(Hons.), C. Ding, M.D., G.

Region of interest analysis: by selecting regions with denuded areas can we detect greater amounts of change? D.J. Hunter, L. Li, Y.Q. Zhang, S. Totterman,

D.J. Hunter Osteoarthritis and Cartilage

The association between hip bone marrow lesions and bone mineral density: a cross- sectional and longitudinal population-based study H. Ahedi, D. Aitken,

Computed tomography topographic mapping of subchondral density (CT-TOMASD) in osteoarthritic and normal knees: methodological development and preliminary.

Magnitude and regional distribution of cartilage loss associated with grades of joint space narrowing in radiographic osteoarthritis – data from the Osteoarthritis.

Longitudinal evaluation of T1ρ and T2 spatial distribution in osteoarthritic and healthy medial knee cartilage J. Schooler, D. Kumar, L. Nardo, C. McCulloch,

Knee cartilage defects in a sample of older adults: natural history, clinical significance and factors influencing change over 2.9 years J. Carnes, O.

Trajectory of cartilage loss within 4 years of knee replacement – a nested case–control study from the Osteoarthritis Initiative F. Eckstein, R.M. Boudreau,

M. Hudelmaier, W. Wirth Osteoarthritis and Cartilage

Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by directional fractal signature method M.

MRI-based extended ordered values more efficiently differentiate cartilage loss in knees with and without joint space narrowing than region-specific approaches.

Thigh muscle cross-sectional areas and strength in knees with early vs knees without radiographic knee osteoarthritis: a between-knee, within-person comparison

Tibial coverage, meniscus position, size and damage in knees discordant for joint space narrowing – data from the Osteoarthritis Initiative K. Bloecker,

Presentation transcript:

Equivalence and precision of knee cartilage morphometry between different segmentation teams, cartilage regions, and MR acquisitions E. Schneider, M. Nevitt, C. McCulloch, F.M. Cicuttini, J. Duryea, F. Eckstein, J. Tamez-Pena Osteoarthritis and Cartilage Volume 20, Issue 8, Pages 869-879 (August 2012) DOI: 10.1016/j.joca.2012.04.005 Copyright © 2012 Osteoarthritis Research Society International Terms and Conditions

Fig. 1 Sample images from (A) FLASH, (B) DESS, and (C) DESS-MPR. Osteoarthritis and Cartilage 2012 20, 869-879DOI: (10.1016/j.joca.2012.04.005) Copyright © 2012 Osteoarthritis Research Society International Terms and Conditions

Fig. 2 Sample FLASH images depicting (A) the anterior boundary of coronal image segmentation which includes distinct condylar cartilage (arrow) and (B) the double ‘bulls-eye’ landmark posterior boundary containing both cartilage and bone for calculation of 60% coverage rule. Osteoarthritis and Cartilage 2012 20, 869-879DOI: (10.1016/j.joca.2012.04.005) Copyright © 2012 Osteoarthritis Research Society International Terms and Conditions

Fig. 3 Sample cartilage segmentation of the cMF on four consecutive coronal DESS-MPR slices. Osteoarthritis and Cartilage 2012 20, 869-879DOI: (10.1016/j.joca.2012.04.005) Copyright © 2012 Osteoarthritis Research Society International Terms and Conditions

Fig. 4 Sample Bland–Altman plots for (A) FLASH medial tibial cartilage volume (MT.VC), (B) DESS-MPR MT.VC, (C) DESS MT.VC, (D) FLASH central medial femoral mean cartilage thickness over the total area of bone (cMF.ThCtAB.Me), (E) DESS-MPR cMF.ThCtAB.Me, and (F) DESS cMF.ThCtAB.Me for all segmentation teams. These plots show the difference in mm3 for VC and mm for ThCtAB.Me between the different test–rest acquisitions. The x-axis corresponds to the mean value and the y-axis to the difference between test–retest values. The mean difference is the central solid line. Outliers are identified by points above and below 2 SDs (upper and lower solid lines). Each plot contains one outlier that was removed in sensitivity analyses. Osteoarthritis and Cartilage 2012 20, 869-879DOI: (10.1016/j.joca.2012.04.005) Copyright © 2012 Osteoarthritis Research Society International Terms and Conditions

Fig. 5 Scatter plots of (A) medial tibial cartilage volume (MT.VC) for FLASH vs DESS-MPR and (B) central medial femoral cartilage volume (cMF.VC) for FLASH vs DESS for all segmentation teams. Bland–Altman plots for (C) MT.VC for FLASH vs DESS-MPR and (D) cMF.VC for FLASH vs DESS. Osteoarthritis and Cartilage 2012 20, 869-879DOI: (10.1016/j.joca.2012.04.005) Copyright © 2012 Osteoarthritis Research Society International Terms and Conditions