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Pharmaceutical and Medical Applications of Near - Infrared Spectroscopy
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This experiment examined several key parameters of bone integrity in bone samples harvested from human cadavers such as subchondral bone plate thickness, bone mineral density and structural model index using near-infrared spectroscopy. Spectra were collected across three wavelength ranges already identified for the ability to penetrate living tissue, called the biologic or therapeutic optical window. The first window covered the range nm, the next from nm, and the third biologic window examined was nm.
This data was correlated against micro-computed tomography results of the same bone samples using partial least squares regression multivariate technique. This work showed that wavelength-dependent penetration of light into osteochondral samples plays a significant role in the relationship between optical response and subchondral bone properties.
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Characterizing human subchondral bone properties using near-infrared NIR spectroscopy, via Scientific Reports. A second group of researchers from Utrecht University, Netherlands and the University of Eastern Finland published research in the journal Nature in September that sought to prove the reliability of NIR spectroscopy to simultaneously evaluate both articular cartilage and subchondral bone in vivo with the assistance of an artificial neural network ANN.
Currently, there are no quantitative arthroscopic tools to evaluate both cartilage and subchondral bone. Orthopedic surgeons use radiographic imaging and subjective scoring of injury severity relying on visual inspection and tactile probing with a metal hook during arthroscopic surgeries. While some clinical tools exist for evaluating cartilage, their use is limited by practical issues, and no clinical tool currently exists for the evaluation of the subchondral bone morphology.
Using the Avantes AvaSpec- ULSXL , this study first collected NIR spectral data arthroscopically from ponies 12 months after receiving experimental joint repair procedures, then collected samples from the same ponies for in vitro spectral measurements. Additional spectral data was collected in vitro from samples harvested from unaffected ponies as a control.
These samples also underwent optical coherence tomography OCT for the complete analysis of bone morphology to serve as a reference for prediction modeling with the assistance of a shallow Artificial Neural Network ANN. Additionally, the visible range between and nm saw interference from conventional arthroscopic light and therefore was only be used for probe orientation and positioning, but was excluded from modeling. The wavelength range between and nm, which nearly spans all three therapeutic optical windows, was determined to be the optimal range for prediction of cartilage biomechanical properties including subchondral bone plate thickness, bone volume fraction and bone mineral density.
The measurements performed in vitro showed fewer prediction errors, unsurprisingly, likely because of inherent complications of achieving optimal probe placement while performing arthroscopy. There were also fewer prediction errors for analyzing the biomechanical properties of cartilage compared to analysis of the subchondral bone due to the tissue depth. Nevertheless, the researchers concluded that NIR spectroscopy was capable of simultaneous characterization of articular cartilage and subchondral bone integrity in humans with potential for augmenting conventional arthroscopy techniques in the clinical assessment of defective joints.