The structure, biochemistry, and metabolism of osteoarthritic cartilage: A review of the literature

Dijkgraaf, Leonore C; Bont, Lambert G.M. de; Boering, G; Liem, Rsb

doi:10.1016/0278-2391(95)90632-0

Cited by 235 publications

(208 citation statements)

References 13 publications

Supporting

Mentioning

191

Contrasting

Unclassified

Order By: Relevance

“…The results of the gravimetrically determined percent water content in the BNC samples were as expected, in the range of the physiological water content of the cartilage, 60 to 75% 21 . Both PLS models, using the full range of water values, and using only the physiological range of water values, were able to predict percent water with an error of ~5 to 8 percent of the total range of values.…”

Section: Discussionsupporting

confidence: 82%

Near infrared spectroscopic evaluation of water in hyaline cartilage

Padalkar

Spencer

Pleshko

2012

2012 38th Annual Northeast Bioengineering Conference (NEBEC)

View full text Add to dashboard Cite

In diseased conditions of cartilage such as osteoarthritis, there is typically an increase in water content from the average normal of 60-85% to greater than 90%. As cartilage has very little capability for self-repair, methods of early detection of degeneration are required, and assessment of water could prove to be a useful diagnostic method. Current assessment methods are either destructive, time consuming or have limited sensitivity. Here, we investigated the hypotheses that non-destructive near infrared spectroscopy (NIRS) of articular cartilage can be used to differentiate between free and bound water, and to quantitatively assess water content. The absorbances centered at 5200 cm −1 and 6890 cm −1 were attributed to a combination of free and bound water, and to free water only, respectively. The integrated areas of both absorbance bands were found to correlate linearly with the absolute water content (R=0.87 and R= 0.86) and with percent water content (R=0.97 and R=0.96) of the tissue. Partial least square models were also successfully developed and were used to predict water content, and percent free water. These data demonstrate that NIRS can be utilized to quantitatively determine water content in articular cartilage, and may aid in early detection of degenerative tissue changes in a laboratory setting, and with additional validations, possibly in a clinical setting.

show abstract

Section: Discussionsupporting

confidence: 82%

Near infrared spectroscopic evaluation of water in hyaline cartilage

Padalkar

Spencer

Pleshko

2012

2012 38th Annual Northeast Bioengineering Conference (NEBEC)

View full text Add to dashboard Cite

show abstract

“…Advanced MRI techniques have emerged for detection and quantification of biochemical changes in cartilage, even before macroscopic damage occurs. Biochemical changes in early-stage OA include loss of proteoglycan content [6]. One technique, which is sensitive to the proteoglycan content in cartilage, is delayed gadolinium-enhanced MRI of cartilage (dGEMRIC).…”

Section: Introductionmentioning

confidence: 99%

T1ρ Hip Cartilage Mapping in Assessing Patients With Cam Morphology: How Can We Optimize the Regions of Interest?

Anwander

Rakhra

Melkus

et al. 2017

Clinical Orthopaedics &Amp; Related Research

View full text Add to dashboard Cite

Background T1q MRI has been shown feasible to detect the biochemical status of hip cartilage, but various regionof-interest strategies have been used, compromising the reproducibility and comparability between different institutions and studies. Questions/purposes The purposes of this study were (1) to determine representative regions of interest (ROIs) for cartilage T1q mapping in hips with a cam deformity; and (2) to assess intra-and interobserver reliability for cartilage T1q mapping in hips with a cam deformity. MethodsThe local ethics committee approved this prospective study with written informed consent obtained. Between 2010 and 2013, in 54 hips (54 patients), T1q 1.5-T MRI was performed. Thirty-eight hips (38 patients; 89% male) with an average age of 35 ± 7.5 years (range, 23-51 tears) were diagnosed with a cam deformity; 16 hips (16 patients; 87% male) with an average age of 34 ± 7 years (range, 23-47 years) were included in the control group. Of the 38 patients with a cam deformity, 20 were pain-free and 18 symptomatic patients underwent surgery after 6 months of failed nonsurgical management of antiinflammatories and physical therapy. Exclusion criteria were radiologic sings of osteoarthritis with Tönnis Grade 2 or higher as well as previous hip surgery. Three region-of-interest (ROI) selections were analyzed: Method 1: as a whole; Method 2: as 36 to 54 small ROIs (sections of 30°in the sagittal plane and 3 mm in the transverse plane); Method 3a: as six ROIs (sections of 90°in the sagittal plane and one-third of the acetabular depth in the transverse plane: the anterosuperior and posterosuperior quadrants, divided into lateral, intermediate, and medial thirds); and Method 3b: as the ratio (anterosuperior over posterosuperior quadrant). ROIs in Method 3 represent the region of macroscopic cartilage damage, described in intraoperative findings. To asses interobserver reliability, 10 patients were analyzed by two observers (HA, GM). For intraobserver reliability, 20 hip MRIs were analyzed twice by one observer (HA). To assess interscan reliability, three patients underwent two scans within a time period of 2 weeks and were analyzed twice by one observer (HA). T1q values were compared using Student's t test. Interclass correlation coefficient (ICC) and root mean square coefficient of variation (RMS-CV) were used to analyze intraobserver, interobserver, and interscan reliability. Results Patients with a cam deformity showed increased T1q values in the whole hip cartilage (mean: 34.0 ± 3.8 ms versus 31.4 ± 3.0 ms; mean difference: 2.5; 95% confidence interval [CI], 4.7-0.4; p = 0.019; Method 1), mainly anterolateral (2), in the lateral and medial thirds of the anterosuperior quadrant (mean: 32.3 ± 4.9 ms versus 29.4 ± 4.1 ms; mean difference: 3.0; 95% CI, 5.8-0.2; p = 0.039 and mean 36.5 ± 5.6 ms versus 32.6 ± 3.8 ms; mean difference: 3.8; 95% CI, 6.9-0.8; p = 0.014), and in the medial third of the posterosuperior quadrant (mean: 34.4 ± 5.5 ms versus 31.1 ± 3.9 ms; mean difference: 3.1; 95% CI, 6....

show abstract

“…These sequences, however, are limited in detecting early degenerative changes of the cartilage matrix [23,24]. Recent developments in MRI techniques, such as T1ρ and T2 mapping , can be used to quantify the earliest biochemical changes in the cartilage matrix that occur even before cartilage degeneration can be detected morphologically [25].…”

Section: Discussionmentioning

confidence: 99%

Evolution of Intrameniscal Signal-Intensity Alterations Detected on MRI Over 24 Months in Patients With Traumatic Anterior Cruciate Ligament Tear

Guimarães

Facchetti

Schwaiger

et al. 2017

American Journal of Roentgenology

View full text Add to dashboard Cite

1in conjunction with ACL tears [3]. The reported incidence of meniscal injury varies considerably, ranging from 16% to 82% in patients with acute ACL tears and up to 96% in those with chronic ACL tears [3,4]. The lateral meniscus is injured more often in patients with acute ACL tears, and the medial meniscus is more likely involved in those with chronic ACL tears [4,5].MRI is a sensitive noninvasive method for assessing joint morphology [6,7] and is highly accurate in depicting ACL tears and associated abnormalities, especially of the soft-tissue structures of the joint [8,9]. With arthroscopy being considered the standard of reference, MRI shows a high sensitivity (93% for the medial meniscus and 79% for the lateral meniscus) and specificity (88% for the medial meniscus and 96% for the lateral meniscus) for the detection of meniscal tears

show abstract

The structure, biochemistry, and metabolism of osteoarthritic cartilage: A review of the literature

Cited by 235 publications

References 13 publications

Near infrared spectroscopic evaluation of water in hyaline cartilage

Near infrared spectroscopic evaluation of water in hyaline cartilage

T1ρ Hip Cartilage Mapping in Assessing Patients With Cam Morphology: How Can We Optimize the Regions of Interest?

Evolution of Intrameniscal Signal-Intensity Alterations Detected on MRI Over 24 Months in Patients With Traumatic Anterior Cruciate Ligament Tear

Contact Info

Product

Resources

About