Advanced MRI of articular cartilage

Braun, Hillary J.; Gold, Garry E.

doi:10.2217/iim.11.43

Cited by 31 publications

(30 citation statements)

References 116 publications

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“…In brief, the technique was performed using multiplanar reformatted images created from isovoxel 3-D sampling perfection with application optimized contrasts using different flip angle evolutions (3-D SPACE) proton density-weighted fat-suppressed MRI sequences. Articular cartilage is clearly visible on these proton density sequences as it is intermediate in signal; the high-signal joint fluid and low-signal subchondral cortex provide excellent contrast [4]. A multiplanar viewing platform (iNtuition TM EMV [Enterprise Medical Viewer], TeraRecon, Inc, Foster City, CA, USA) was used to create default orthogonal axial, sagittal, and coronal planes.…”

Section: Methodsmentioning

confidence: 99%

No Sex Differences Exist in Posterior Condylar Offsets of the Knee

Voleti

Stephenson

Lotke

et al. 2015

Clinical Orthopaedics &Amp; Related Research

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Background Restoration of posterior condylar offset during TKA is believed to be important to improving knee kinematics, maximizing ROM, and minimizing flexion instability. However, controversy exists regarding whether there are important anatomic differences between sexes and whether a unisex knee prosthesis can restore the anatomy of knees in males and females. Questions/purposes The purposes of our study were to determine if sex differences exist in (1) absolute posterior condylar offset size, (2) relative posterior condylar offset size in relation to total condylar height, and (3) posterior condylar articular cartilage thickness.Methods We identified 100 patients (50 men and 50 women) without a history of arthritis, deformity, dysplasia, osteochondral defect, fracture, or surgery about the knee who had MRI of the knee performed. All MR images were ordered by primary care medical physicians for evaluation of nonspecific knee pain. Using a previously described three-dimensional MRI protocol, we measured posterior condylar offset, total condylar height, and articular cartilage thickness at the medial and lateral femoral condyles and compared values to evaluate for potential sex differences. We performed an a priori power calculation using a 2-mm posterior condylar offset difference as the minimum clinically important difference; with 2n = 100, our power to detect such a difference was 99.8%.

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Section: Methodsmentioning

confidence: 99%

No Sex Differences Exist in Posterior Condylar Offsets of the Knee

Voleti

Stephenson

Lotke

et al. 2015

Clinical Orthopaedics &Amp; Related Research

View full text Add to dashboard Cite

show abstract

“…We used 3-D reconstructions of three-dimensional SPACE (Spatial and Chemical-shift Encoded Excitation) proton densityweighted isovoxel MRI sequences with fat saturation to perform this technique. Articular cartilage is clearly visible on these proton density sequences because it is intermediate in signal; the high signal joint fluid and low signal subchondral cortex provide excellent contrast [3]. A multiplanar viewing platform (TeraRecon, Foster City, CA, USA) was used to create default orthogonal axial, sagittal, and coronal planes.…”

Section: Methodsmentioning

confidence: 99%

Plain Radiographs Underestimate the Asymmetry of the Posterior Condylar Offset of the Knee Compared With MRI

Voleti

Stephenson

Lotke

et al. 2014

Clinical Orthopaedics &Amp; Related Research

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Background Restoration of posterior condylar offset (PCO) during total knee arthroplasty is essential to maximize range of motion, prevent impingement, and minimize flexion instability. Previously, PCO was determined with lateral radiographs, which could not distinguish the asymmetries between the femoral condyles. MRI can independently measure both medial and lateral PCO. Questions/purposes The purpose of this study is to determine the normal PCO of the knee, to establish the differences in medial and lateral PCO, and to compare PCO measurements obtained from radiographs versus those obtained from MRI. Methods We identified 32 patients without a history of prior knee pathology who had both plain radiographs and MRI scans of the same knee performed. The PCO was measured on lateral radiographs and compared with MRI measurements using a novel three-dimensional protocol.Results By MRI, the mean medial PCO was 29 (± 3) mm and the mean lateral PCO was 26 (± 3) mm; both values were greater (p \ 0.001 and p = 0.03, respectively) than the mean radiographic PCO of 25 (± 2) mm. The medial PCO, as measured by MRI, was significantly greater than the lateral PCO (p \ 0.001). Conclusions Plain radiographs underestimate PCO as well as the asymmetry of the medial and lateral PCO compared with MRI. This discrepancy is the result of both articular cartilage thickness and the anatomic differences between medial and lateral condyles. Designers of knee prostheses and instrumentation should take these differences into account.

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“…However, plain radiography is limited in its potential to detect early disease and to monitor subtle changes over time 16 . In contrast, MRI provides excellent delineation of musculoskeletal tissues and sensitivity to both morphologic features and matrix characteristics of joint cartilage 17–19 , making it a much more appealing imaging modality for early detection and monitoring of OA.…”

Section: Introductionmentioning

confidence: 99%

Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging

Ashinsky

Coletta

Bouhrara

et al. 2015

Osteoarthritis and Cartilage

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Objective The purpose of this study is to evaluate the ability of machine learning to discriminate between magnetic resonance images (MRI) of normal and pathological human articular cartilage obtained under standard clinical conditions. Method An approach to MRI classification of cartilage degradation is proposed using pattern recognition and multivariable regression in which image features from MRIs of histologically scored human articular cartilage plugs were computed using weighted neighbor distance using compound hierarchy of algorithms representing morphology (WND-CHRM). The WND-CHRM method was first applied to several clinically available MRI scan types to perform binary classification of normal and osteoarthritic osteochondral plugs based on the OARSI histological system. In addition, the image features computed from WND-CHRM were used to develop a multiple linear least-squares regression model for classification and prediction of an OARSI score for each cartilage plug. Results The binary classification of normal and osteoarthritic plugs yielded results of limited quality with accuracies between 36% and 70%. However, multiple linear least-squares regression successfully predicted OARSI scores and classified plugs with accuracies as high as 86%. The present results improve upon the previously-reported accuracy of classification using average MRI signal intensities and parameter values. Conclusion MRI features detected by WND-CHRM reflect cartilage degradation status as assessed by OARSI histologic grading. WND-CHRM is therefore of potential use in the clinical detection and grading of osteoarthritis.

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Advanced MRI of articular cartilage

Cited by 31 publications

References 116 publications

No Sex Differences Exist in Posterior Condylar Offsets of the Knee

No Sex Differences Exist in Posterior Condylar Offsets of the Knee

Plain Radiographs Underestimate the Asymmetry of the Posterior Condylar Offset of the Knee Compared With MRI

Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging

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