Use of near‐infrared systems for investigations of hemodynamics in human in vivo bone tissue: A systematic review

Abstract

A range of technologies using near infrared (NIR) light have shown promise at providing real time measurements of hemodynamic markers in bone tissue in vivo, an exciting prospect given existing difficulties in measuring hemodynamics in bone tissue. This systematic review aimed to evaluate the evidence for this potential use of NIR systems, establishing their potential as a research tool in this field. Major electronic databases including MEDLINE and EMBASE were searched using pre-planned search strategies with broad scope for any in vivo use of NIR technologies in human bone tissue. Following identification of studies by title and abstract screening, full text inclusion was determined by double blind assessment using predefined criteria. Full text studies for inclusion were data extracted using a predesigned proforma and quality assessed. Narrative synthesis was appropriate given the wide heterogeneity of included studies. Eighty-eight full text studies fulfilled the inclusion criteria, 57 addressing laser Doppler flowmetry (56 intra-operatively), 21 near infrared spectroscopy, and 10 photoplethysmography. The heterogeneity of the methodologies included differing hemodynamic markers, measurement protocols, anatomical locations, and research applications, making meaningful direct comparisons impossible. Further, studies were often limited by small sample sizes with potential selection biases, detection biases, and wide variability in results between participants. Despite promising potential in the use of NIR light to interrogate bone circulation, the application of NIR systems in bone requires rigorous assessment of the reproducibility of potential hemodynamic markers and further validation of these markers against alternative physiologically relevant reference standards. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2595-2603, 2018.

Clinical Feasibility of Diffuse Optical Spectroscopic Imaging for Sarcoma

“…Recently, the functional imaging techniques FDG PET/CT found that tumor necrosis at time of diagnosis was correlated with pathologic response and mortality (Rakheja et al, 2013). However, these techniques cannot be used for frequent treatment monitoring because of cost, access, and potential harm to the patient from radiation or exogenous contrast agents (Facey et al, 2007;Meertens et al, 2018). Thus, tumor response to chemotherapy remains the best prognostic marker (Bielack et al, 2002;Davis et al, 1994;Meyers et al, 1992;Bacci et al, 2005) for sarcoma and finding a new marker earlier in treatment is a priority.…”

“…A recent review of optical systems used for measuring human hemodynamic markers in vivo bone tissue identified 19 studies that used NIR spectroscopy (Meertens et al, 2018). Nine studies used continuous wave measurements to detect changes in oxyhemoglobin and deoxyhemoglobin while three studies used multiple lasers to measure hemodynamics.…”

“…As a NIR system, DOSI is a noninvasive, nondestructive, nonionizing, inexpensive tool for longitudinal hemodynamic measurements. Due to the high density and mineral content of bone, measuring functional hemodynamic information is a challenge (Meertens et al, 2018). This work determines the feasibility of using DOSI in sarcomas.…”

Measuring arterial oxygen saturation from an intraosseous photoplethysmographic signal derived from the sternum

“…The PPG-technique has previously been used for studying blood flow in superficial soft tissues, such as skin and muscle [2,15,16]. Recordings from deeper tissues need adjustments of light wavelengths and distances of light source and photodetectors.…”

Determination of 10‐Hydroxy‐2‐Decenoic Acid of Royal Jelly Using Near‐Infrared Spectroscopy Combined with Chemometrics

“…This is not only rich qualitative and quantitative data, but is also rapid, non-destructive, and simple (Blanco, & Villarroya, 2002) to acquire. Near infrared spectroscopy is already applied in agriculture (Caporaso, Whitworth, & Fisk, 2018), foodstuffs (Zhang et al, 2018), and medicine (Meertens, Casanova, Knapp, Thorn, & Strain, 2018). Due to the effects of the spectrometer, some wave bands with poor spectral quality will result in model instability.…”