Fourier transform infrared imaging of focal lesions in Human osteoarthritic cartilage

David-Vaudey, Eve; Burghardt, Andrew J.; Keshari, Kayvan R.; Brouchet, A.; Ries, Michael D.; Majumdar, Sharmila

doi:10.22203/ecm.v010a06

Cited by 59 publications

(46 citation statements)

References 36 publications

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“…Alternatively, the linear combination of pure compound spectra can be used to decompose cartilage spectrum into components. In two studies, type II collagen and chondroitin sulfate were used as pure compounds in the linear combination model (20,24). The tissue-engineered cartilage was found to contain more collagen and less Table 1.…”

Section: ¡1mentioning

confidence: 99%

“…The tissue-engineered cartilage was found to contain more collagen and less Table 1. Assignments of NIR (80,84) and FTIR (19,39,50) proteoglycans than the native cartilage (20) and focal degenerative lesions in human osteoarthritic AC contained less proteoglycans than the surrounding healthy tissue (24). The univariate methods are easy to implement, and, therefore, they have been applied in many studies (25)(26)(27)(28)(29)(30)(31)(32).…”

Section: ¡1mentioning

confidence: 99%

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Vibrational spectroscopy of articular cartilage

Rieppo

Töyräs

Saarakkala

2016

Applied Spectroscopy Reviews

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Articular cartilage is a connective tissue that is located at the ends of long bones. Type II collagen, proteoglycans, water, and chondrocytes are the main constituents of articular cartilage. Osteoarthritis, the most common joint disease in the world, causes degenerative changes in articular cartilage tissue. Fourier transform infrared, Raman, and near infrared spectroscopic techniques offer versatile tools to assess biochemical composition and quality of articular cartilage. These vibrational spectroscopic techniques can be used to broaden our understanding about the compositional changes during osteoarthritis, and they also hold promise in disease diagnostics. In this article, the current literature of articular cartilage spectroscopic studies is reviewed.

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Section: ¡1mentioning

confidence: 99%

Section: ¡1mentioning

confidence: 99%

Vibrational spectroscopy of articular cartilage

Rieppo

Töyräs

Saarakkala

2016

Applied Spectroscopy Reviews

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“…For example, it has been demonstrated in literature that FTIR imaging can assess changes in composition and distribution of ECM components in human osteoarthritic cartilage. 33 Fig . 2 Raman spectra of cryosections with and without cartilage sample.…”

Section: Confocal Raman Microspectroscopymentioning

confidence: 99%

Recognizing different tissues in human fetal femur cartilage by label-free Raman microspectroscopy

et al. 2012

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Abstract. Traditionally, the composition of bone and cartilage is determined by standard histological methods. We used Raman microscopy, which provides a molecular "fingerprint" of the investigated sample, to detect differences between the zones in human fetal femur cartilage without the need for additional staining or labeling. Raman area scans were made from the (pre)articular cartilage, resting, proliferative, and hypertrophic zones of growth plate and endochondral bone within human fetal femora. Multivariate data analysis was performed on Raman spectral datasets to construct cluster images with corresponding cluster averages. Cluster analysis resulted in detection of individual chondrocyte spectra that could be separated from cartilage extracellular matrix (ECM) spectra and was verified by comparing cluster images with intensity-based Raman images for the deoxyribonucleic acid/ ribonucleic acid (DNA/RNA) band. Specific dendrograms were created using Ward's clustering method, and principal component analysis (PCA) was performed with the separated and averaged Raman spectra of cells and ECM of all measured zones. Overall (dis)similarities between measured zones were effectively visualized on the dendrograms and main spectral differences were revealed by PCA allowing for label-free detection of individual cartilaginous zones and for label-free evaluation of proper cartilaginous matrix formation for future tissue engineering and clinical purposes.

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“…It may cause the last 2 or 3 spectra were actually extracted from much deeper location than 80-100 m, where might be in RZ with less PG loss. 6,25 These concentration variations could be the reasons for mis-assigning the spectra in the position of 80-100 m.…”

Section: Reasons For the Mis-assignmentsmentioning

confidence: 99%

Comparative study on identification of healthy and osteoarthritic articular cartilages by fourier transform infrared imaging and chemometrics methods

Mao

Zhang

et al. 2017

J. Innov. Opt. Health Sci.

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Two discriminant methods, partial least squares-discriminant analysis (PLS-DA) and Fisher's discriminant analysis (FDA), were combined with Fourier transform infrared imaging (FTIRI) to di®erentiate healthy and osteoarthritic articular cartilage in a canine model. Osteoarthritic cartilage had been developed for up to two years after the anterior cruciate ligament (ACL) transection in one knee. Cartilage specimens were sectioned into 10 m thickness for FTIRI. A PLS-DA model was developed after spectral pre-processing. All IR spectra extracted from FTIR images were calculated by PLS-DA with the discriminant accuracy of 90%. Prior to FDA, principal component analysis (PCA) was performed to decompose the IR spectral matrix into informative principal component matrices. Based on the di®erent discriminant mechanism, the discriminant accuracy (96%) of PCA-FDA with high convenience was higher than that of PLS-DA. No healthy cartilage sample was mis-assigned by these two methods. The above mentioned suggested that both integrated technologies of FTIRI-PLS-DA and, especially, FTIRI-PCA-FDA could become a promising tool for the discrimination of healthy and osteoarthritic cartilage specimen as well as the diagnosis of cartilage lesion at microscopic level. The results of the study would be helpful for better understanding the pathology of osteoarthritics.

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Fourier transform infrared imaging of focal lesions in Human osteoarthritic cartilage

Cited by 59 publications

References 36 publications

Vibrational spectroscopy of articular cartilage

Vibrational spectroscopy of articular cartilage

Recognizing different tissues in human fetal femur cartilage by label-free Raman microspectroscopy

Comparative study on identification of healthy and osteoarthritic articular cartilages by fourier transform infrared imaging and chemometrics methods

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