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  • 1
    Online Resource
    Online Resource
    Chondral and Osteochondral Femoral Cartilage Lesions Treated with GelrinC: Significant Improvement of Radiological Outcome Over Time and Zonal Variation of the Repair Tissue Based on T 2 Mapping at 24 Months
    SAGE Publications ; 2021
    In:  CARTILAGE Vol. 13, No. 1_suppl ( 2021-12), p. 604S-616S
    Details
    In: CARTILAGE, SAGE Publications, Vol. 13, No. 1_suppl ( 2021-12), p. 604S-616S
    Abstract: To prospectively assess the efficacy of GelrinC in the treatment of chondral and osteochondral femoral cartilage lesions using morphological (Magnetic Resonance Observation of Cartilage Repair Tissue [MOCART]) and quantitative (T 2 -mapping) magnetic resonance imaging (MRI). Design This study was designed as a prospective single-arm, open label, multicenter study. Morphological magnetic resonance imaging (MRI) for MOCART assessment and T 2 mapping was performed 1 week and 6, 12, 18, and 24 months after GelrinC implantation. Evaluation of T 2 mapping was based on the assessment of global T 2 indices (T 2 of the repair tissue [RT] divided by T 2 of healthy reference cartilage) and zonal variation. Results Fifty-six (20 female) patients were prospectively enrolled. The mean MOCART score significantly increased from baseline to the 24-month follow-up with 88.8 (95% CI, 85.8-91.9; P 〈 0.001) for all lesions combined as well as 86.8 (95% CI, 83.0-90.6) for chondral lesions and 94.1 (95% CI, 68.55-100) for osteochondral lesions. Furthermore, based on T 2 mapping, significant zonal variation of the RT was observed at 24 months ( P = 0.039), which did not differ significantly from healthy reference cartilage ( P = 0.6). Conclusion Increasing MOCART scores were observed throughout the follow-up period, indicative of maturation of the cartilage repair. Significant zonal variation of the RT at 24 months might indicate the transformation into hyaline cartilage–like RT. Slightly differing morphological outcome between chondral and osteochondral lesions, but similar global and zonal T 2 indices at 24 months, support the potential of GelrinC as a treatment option for both lesion types.
    Type of Medium: Online Resource
    ISSN: 1947-6035 , 1947-6043
    URL: Article
    DOI: 10.1177/1947603520926702
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2515870-3
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  • 2
    Online Resource
    Online Resource
    Differentiation of Cartilage Repair Techniques Using Texture Analysis from T 2 Maps
    SAGE Publications ; 2021
    In:  CARTILAGE Vol. 13, No. 1_suppl ( 2021-12), p. 718S-728S
    Details
    In: CARTILAGE, SAGE Publications, Vol. 13, No. 1_suppl ( 2021-12), p. 718S-728S
    Abstract: The aim of this study was to investigate texture features from T 2 maps as a marker for distinguishing the maturation of repair tissue after 2 different cartilage repair procedures. Design Seventy-nine patients, after either microfracture (MFX) or matrix-associated chondrocyte transplantation (MACT), were examined on a 3-T magnetic resonance (MR) scanner with morphological and quantitative (T 2 mapping) MR sequences 2 years after surgery. Twenty-one texture features from a gray-level co-occurrence matrix (GLCM) were extracted. The texture feature difference between 2 repair types was assessed individually for the femoral condyle and trochlea/anterior condyle using linear regression models. The stability and reproducibility of texture features for focal cartilage were calculated using intra-observer variability and area under curve from receiver operating characteristics. Results There was no statistical significance found between MFX and MACT for T 2 values ( P = 0.96). There was, however, found a statistical significance between MFX and MACT in femoral condyle in GLCM features autocorrelation ( P 〈 0.001), sum of squares ( P = 0.023), sum average ( P = 0.005), sum variance ( P = 0.0048), and sum entropy ( P = 0.05); and in anterior condyle/trochlea homogeneity ( P = 0.02) and dissimilarity ( P 〈 0.001). Conclusion Texture analysis using GLCM provides a useful extension to T 2 mapping for the characterization of cartilage repair tissue by increasing its sensitivity to tissue structure. Some texture features were able to distinguish between repair tissue after different cartilage repair procedures, as repair tissue texture (and hence, probably collagen organization) 24 months after MACT more closely resembled healthy cartilage than did MFX repair tissue.
    Type of Medium: Online Resource
    ISSN: 1947-6035 , 1947-6043
    URL: Article
    DOI: 10.1177/19476035211029698
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2515870-3
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Reproducibility of an Automated Quantitative MRI Assessment of Low-Grade Knee Articular Cartilage Lesions
    SAGE Publications ; 2021
    In:  CARTILAGE Vol. 13, No. 1_suppl ( 2021-12), p. 646S-657S
    Details
    In: CARTILAGE, SAGE Publications, Vol. 13, No. 1_suppl ( 2021-12), p. 646S-657S
    Abstract: The goal of this study was to assess the reproducibility of an automated knee cartilage segmentation of 21 cartilage regions with a model-based algorithm and to compare the results with manual segmentation. Design Thirteen patients with low-grade femoral cartilage defects were included in the study and were scanned twice on a 7-T magnetic resonance imaging (MRI) scanner 8 days apart. A 3-dimensional double-echo steady-state (3D-DESS) sequence was used to acquire MR images for automated cartilage segmentation, and T2-mapping was performed using a 3D triple-echo steady-state (3D-TESS) sequence. Cartilage volume, thickness, and T2 and texture features were automatically extracted from each knee for each of the 21 subregions. DESS was used for manual cartilage segmentation and compared with automated segmentation using the Dice coefficient. The reproducibility of each variable was expressed using standard error of measurement (SEM) and smallest detectable change (SDC). Results The Dice coefficient for the similarity between manual and automated segmentation ranged from 0.83 to 0.88 in different cartilage regions. Test-retest analysis of automated cartilage segmentation and automated quantitative parameter extraction revealed excellent reproducibility for volume measurement (mean SDC for all subregions of 85.6 mm 3 ), for thickness detection (SDC = 0.16 mm) and also for T2 values (SDC = 2.38 ms) and most gray-level co-occurrence matrix features (SDC = 0.1 a.u.). Conclusions The proposed technique of automated knee cartilage evaluation based on the segmentation of 3D MR images and correlation with T2 mapping provides highly reproducible results and significantly reduces the segmentation effort required for the analysis of knee articular cartilage in longitudinal studies.
    Type of Medium: Online Resource
    ISSN: 1947-6035 , 1947-6043
    URL: Article
    DOI: 10.1177/1947603520961165
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2515870-3
    Location Call Number Limitation Availability
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    Online Resource
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