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Surowiec RK, Does MD, Nyman JS. In Vivo Assessment of Bone Quality Without X-rays. Curr Osteoporos Rep 2024; 22:56-68. [PMID: 38227178 PMCID: PMC11050740 DOI: 10.1007/s11914-023-00856-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/22/2023] [Indexed: 01/17/2024]
Abstract
PURPOSE OF REVIEW This review summarizes recent advances in the assessment of bone quality using non-X-ray techniques. RECENT FINDINGS Quantitative ultrasound (QUS) provides multiple measurements of bone characteristics based on the propagation of sound through bone, the attenuation of that sound, and different processing techniques. QUS parameters and model predictions based on backscattered signals can discriminate non-fracture from fracture cases with accuracy comparable to standard bone mineral density (BMD). With advances in magnetic resonance imaging (MRI), bound water and pore water, or a porosity index, can be quantified in several long bones in vivo. Since such imaging-derived measurements correlate with the fracture resistance of bone, they potentially provide new BMD-independent predictors of fracture risk. While numerous measurements of mineral, organic matrix, and bound water by Raman spectroscopy correlate with the strength and toughness of cortical bone, the clinical assessment of person's bone quality using spatially offset Raman spectroscopy (SORS) requires advanced spectral processing techniques that minimize contaminating signals from fat, skin, and blood. Limiting exposure of patients to ionizing radiation, QUS, MRI, and SORS has the potential to improve the assessment of fracture risk and track changes of new therapies that target bone matrix and micro-structure.
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Affiliation(s)
- Rachel K Surowiec
- Weldon School of Biomedical Engineering, Purdue University, 206 S. Martin Jischke Dr., West Lafayette, IN, 47907, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd., Indianapolis, IN, 46202, USA
| | - Mark D Does
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN, 37232, USA
- Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S., Nashville, TN, 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Ave. S., Nashville, TN, 37232, USA
- Department of Electrical Engineering and Computer Science, Vanderbilt University, 400 24th Ave. S., Nashville, TN, 37212, USA
| | - Jeffry S Nyman
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN, 37232, USA.
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN, 37232, USA.
- Vanderbilt Center for Bone Biology, Vanderbilt University Medical Center, 1211 Medical Center Dr., Nashville, TN, 37212, USA.
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, 37212, USA.
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2
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Massie C, Knapp E, Awad HA, Berger AJ. Detection of osteoporotic-related bone changes and prediction of distal radius strength using Raman spectra from excised human cadaver finger bones. J Biomech 2023; 161:111852. [PMID: 37924650 PMCID: PMC10872783 DOI: 10.1016/j.jbiomech.2023.111852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/07/2023] [Accepted: 10/24/2023] [Indexed: 11/06/2023]
Abstract
While osteoporosis is reliably diagnosed using dual energy X-ray absorptiometry (DXA), screening rates are alarmingly low, contributing to preventable fractures. Raman spectroscopy (RS) can detect biochemical changes that occur in bones transcutaneously and can arguably be more accessible than DXA as a fracture risk assessment. A reasonable approach to translate RS is to interrogate phalangeal bones of human hands, where the soft tissues covering the bone are less likely to hamper transcutaneous measurements. To that end, we set out to first determine whether Raman spectra obtained from phalangeal bones correlate with distal radius fracture strength, which can predict subsequent osteoporotic fractures at the spine and hip. We performed RS upon diaphyseal and epiphyseal regions of exposed proximal phalanges from 12 cadaver forearms classified as healthy (n = 3), osteopenic (n = 4), or osteoporotic (n = 5) based on wrist T-scores measured by DXA. We observed a significant decrease in phosphate to matrix ratio and a significant increase in carbonate substitution in the osteoporotic phalanges relative to healthy and osteopenic phalanges. Multivariate regression models produced wrist T-score estimates with significant correlation to the DXA-measured values (r = 0.79). Furthermore, by accounting for phalangeal RS parameters, body mass index, and age, a multivariate regression significantly predicted distal radius strength measured in a simulated-fall biomechanical test (r = 0.81). These findings demonstrate the feasibility of interrogating the phalanges using RS for bone quality assessment of distant clinical sites of fragility fractures, such as the wrist. Future work will address transcutaneous measurement challenges as another requirement for scale-up and translation.
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Affiliation(s)
- Christine Massie
- Department of Biomedical Engineering, University of Rochester, 207 Robert B. Goergen Hall, Rochester, NY 14620, USA
| | - Emma Knapp
- The Center for Musculoskeletal Research, University of Rochester Medical Center, 601 Elmwood Avenue, Box 665, Rochester, NY 14642, USA
| | - Hani A Awad
- Department of Biomedical Engineering, University of Rochester, 207 Robert B. Goergen Hall, Rochester, NY 14620, USA; The Center for Musculoskeletal Research, University of Rochester Medical Center, 601 Elmwood Avenue, Box 665, Rochester, NY 14642, USA
| | - Andrew J Berger
- Department of Biomedical Engineering, University of Rochester, 207 Robert B. Goergen Hall, Rochester, NY 14620, USA; The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA.
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Fernández-Galiana Á, Bibikova O, Vilms Pedersen S, Stevens MM. Fundamentals and Applications of Raman-Based Techniques for the Design and Development of Active Biomedical Materials. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023:e2210807. [PMID: 37001970 DOI: 10.1002/adma.202210807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/03/2023] [Indexed: 06/19/2023]
Abstract
Raman spectroscopy is an analytical method based on light-matter interactions that can interrogate the vibrational modes of matter and provide representative molecular fingerprints. Mediated by its label-free, non-invasive nature, and high molecular specificity, Raman-based techniques have become ubiquitous tools for in situ characterization of materials. This review comprehensively describes the theoretical and practical background of Raman spectroscopy and its advanced variants. The numerous facets of material characterization that Raman scattering can reveal, including biomolecular identification, solid-to-solid phase transitions, and spatial mapping of biomolecular species in bioactive materials, are highlighted. The review illustrates the potential of these techniques in the context of active biomedical material design and development by highlighting representative studies from the literature. These studies cover the use of Raman spectroscopy for the characterization of both natural and synthetic biomaterials, including engineered tissue constructs, biopolymer systems, ceramics, and nanoparticle formulations, among others. To increase the accessibility and adoption of these techniques, the present review also provides the reader with practical recommendations on the integration of Raman techniques into the experimental laboratory toolbox. Finally, perspectives on how recent developments in plasmon- and coherently-enhanced Raman spectroscopy can propel Raman from underutilized to critical for biomaterial development are provided.
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Affiliation(s)
- Álvaro Fernández-Galiana
- Department of Materials, Department of Bioengineering, Imperial College London, SW7 2AZ, London, UK
| | - Olga Bibikova
- Department of Materials, Department of Bioengineering, Imperial College London, SW7 2AZ, London, UK
| | - Simon Vilms Pedersen
- Department of Materials, Department of Bioengineering, Imperial College London, SW7 2AZ, London, UK
| | - Molly M Stevens
- Department of Materials, Department of Bioengineering, Imperial College London, SW7 2AZ, London, UK
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Walther A, Stepula E, Ditzel N, Kassem M, Bergholt MS, Hedegaard MAB. In Vivo Longitudinal Monitoring of Disease Progression in Inflammatory Arthritis Animal Models Using Raman Spectroscopy. Anal Chem 2023; 95:3720-3728. [PMID: 36757324 PMCID: PMC9949228 DOI: 10.1021/acs.analchem.2c04743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/23/2023] [Indexed: 02/10/2023]
Abstract
Current techniques for monitoring disease progression and testing drug efficacy in animal models of inflammatory arthritis are either destructive, time-consuming, subjective, or require ionizing radiation. To accommodate this, we have developed a non-invasive and label-free optical system based on Raman spectroscopy for monitoring tissue alterations in rodent models of arthritis at the biomolecular level. To test different sampling geometries, the system was designed to collect both transmission and reflection mode spectra. Mice with collagen antibody-induced arthritis and controls were subject to in vivo Raman spectroscopy at the tibiotarsal joint every 3 days for 14 days. Raman-derived measures of bone content correlated well with micro-computed tomography bone mineral densities. This allowed for time-resolved quantitation of bone densities, which indicated gradual bone erosion in mice with arthritis. Inflammatory pannus formation, bone erosion, and bone marrow inflammation were confirmed by histological analysis. In addition, using library-based spectral decomposition, we quantified the progression of bone and soft tissue components. In general, the tissue components followed significantly different tendencies in mice developing arthritis compared to the control group in line with the histological analysis. In total, this demonstrates Raman spectroscopy as a versatile technique for monitoring alterations to both mineralized and soft tissues simultaneously in rodent models of musculoskeletal disorders. Furthermore, the technique presented herein allows for objective repeated within-animal measurements potentially refining and reducing the use of animals in research while improving the development of novel antiarthritic therapeutics.
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Affiliation(s)
- Anders
R. Walther
- SDU
Chemical Engineering, University of Southern
Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Elzbieta Stepula
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, UK
| | - Nicholas Ditzel
- Molecular
Endocrinology Unit (KMEB), Department of Endocrinology, Odense University Hospital and University of Southern
Denmark, J.B. Winsløwsvej
25, 5000 Odense, Denmark
| | - Moustapha Kassem
- Molecular
Endocrinology Unit (KMEB), Department of Endocrinology, Odense University Hospital and University of Southern
Denmark, J.B. Winsløwsvej
25, 5000 Odense, Denmark
| | - Mads S. Bergholt
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, UK
| | - Martin A. B. Hedegaard
- SDU
Chemical Engineering, University of Southern
Denmark, Campusvej 55, 5230 Odense, Denmark
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Abstract
Raman spectroscopy (RS) is used to analyze the physiochemical properties of bone because it is non-destructive and requires minimal sample preparation. With over two decades of research involving measurements of mineral-to-matrix ratio, type-B carbonate substitution, crystallinity, and other compositional characteristics of the bone matrix by RS, there are multiple methods to acquire Raman signals from bone, to process those signals, and to determine peak ratios including sub-peak ratios as well as the full-width at half maximum of the most prominent Raman peak, which is nu1 phosphate (ν1PO4). Selecting which methods to use is not always clear. Herein, we describe the components of RS instruments and how they influence the quality of Raman spectra acquired from bone because signal-to-noise of the acquisition and the accompanying background fluorescence dictate the pre-processing of the Raman spectra. We also describe common methods and challenges in preparing acquired spectra for the determination of matrix properties of bone. This article also serves to provide guidance for the analysis of bone by RS with examples of how methods for pre-processing the Raman signals and for determining properties of bone composition affect RS sensitivity to potential differences between experimental groups. Attention is also given to deconvolution methods that are used to ascertain sub-peak ratios of the amide I band as a way to assess characteristics of collagen type I. We provide suggestions and recommendations on the application of RS to bone with the goal of improving reproducibility across studies and solidify RS as a valuable technique in the field of bone research.
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Affiliation(s)
- Mustafa Unal
- Department of Mechanical Engineering, Karamanoglu Mehmetbey University, Karaman, 70200, Turkey.
- Department of Bioengineering, Karamanoglu Mehmetbey University, Karaman, Turkey 70200
- Department of Biophysics, Faculty of Medicine, Karamanoglu Mehmetbey University, Karaman, Turkey 70200
| | - Rafay Ahmed
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
| | - Anita Mahadevan-Jansen
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN 37235, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jeffry S Nyman
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA
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Chen K, Massie C, Awad HA, Berger AJ. Determination of best Raman spectroscopy spatial offsets for transcutaneous bone quality assessments in human hands. BIOMEDICAL OPTICS EXPRESS 2021; 12:7517-7525. [PMID: 35003849 PMCID: PMC8713657 DOI: 10.1364/boe.440297] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 06/14/2023]
Abstract
Spatially offset Raman spectroscopy (SORS) is able to detect bone signal transcutaneously and could assist in predicting bone fracture risk. Criteria for optimal source-detector offsets for transcutaneous human measurements, however, are not well-established. Although larger offsets yield a higher percentage of bone signal, the absolute amount of bone signal decreases. Spectral unmixing into bone, adipose, and non-adipose components was employed to quantify changes in bone signal to noise ratio across a range of offsets, and optimal offsets for phalanx and metacarpal measurements were determined. The bone signal to noise ratio was maximized at offsets ranging from 4-6 mm.
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Affiliation(s)
- Keren Chen
- The Institute of Optics, University of Rochester, Rochester, NY 14620, USA
- Joint co-authors
| | - Christine Massie
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14620, USA
- Joint co-authors
| | - Hani A. Awad
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14620, USA
- Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY 14620, USA
| | - Andrew J. Berger
- The Institute of Optics, University of Rochester, Rochester, NY 14620, USA
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14620, USA
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7
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Improved prediction of femoral fracture toughness in mice by combining standard medical imaging with Raman spectroscopy. J Biomech 2021; 116:110243. [PMID: 33485148 DOI: 10.1016/j.jbiomech.2021.110243] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 09/13/2020] [Accepted: 01/03/2021] [Indexed: 12/12/2022]
Abstract
Bone fragility and fracture risk are assessed by measuring the areal bone mineral density (aBMD) using dual-energy X-ray absorptiometry (DXA). While aBMD correlates with bone strength, it is a poor predictor of fragility fracture risk. Alternatively, fracture toughness assesses the bone's resistance to crack propagation and fracture, making it a suitable bone quality metric. Here, we explored how femoral midshaft measurements from DXA, micro-computed tomography (µCT), and Raman spectroscopy could predict fracture toughness. We hypothesized that ovariectomy (OVX) decreases aBMD and fracture toughness compared to controls and we can optimize a multivariate assessment of bone quality by combining results from X-ray and Raman spectroscopy. Female mice underwent an OVX (n = 5) or sham (n = 5) surgery at 3 months of age. Femurs were excised 3 months after ovariectomy and assessed with Raman spectroscopy, µCT, and DXA. Subsequently, a notch was created on the anterior side of the mid-diaphysis of the femurs. Three-point bending induced a controlled fracture that initiated at the notch. The OVX mice had a significantly lower aBMD, cortical thickness, and fracture toughness when compared to controls (p < 0.05). A leave one out cross-validated (LOOCV) partial least squares regression (PLSR) model based only on the combination of aBMD and cortical thickness showed no significant predictive correlations with fracture toughness, whereas a PLSR model based on principal components derived from the full Raman spectra yielded significant prediction (r2 = 0.71, p < 0.05). Further, the PLSR model was improved by incorporating aBMD, cortical thickness, and principal components from Raman spectra (r2 = 0.92, p < 0.001). This exploratory study demonstrates combining X-ray with Raman spectroscopy leads to a more accurate assessment of bone fracture toughness and could be a useful diagnostic tool for the assessment of fragility fracture risk.
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8
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Nicolson F, Kircher MF, Stone N, Matousek P. Spatially offset Raman spectroscopy for biomedical applications. Chem Soc Rev 2021; 50:556-568. [PMID: 33169761 PMCID: PMC8323810 DOI: 10.1039/d0cs00855a] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Indexed: 12/24/2022]
Abstract
In recent years, Raman spectroscopy has undergone major advancements in its ability to probe deeply through turbid media such as biological tissues. This progress has been facilitated by the advent of a range of specialist techniques based around spatially offset Raman spectroscopy (SORS) to enable non-invasive probing of living tissue through depths of up to 5 cm. This represents an improvement in depth penetration of up to two orders of magnitude compared to what can be achieved with conventional Raman methods. In combination with the inherently high molecular specificity of Raman spectroscopy, this has therefore opened up entirely new prospects for a range of new analytical applications across multiple fields including medical diagnosis and disease monitoring. This article discusses SORS and related variants of deep Raman spectroscopy such as transmission Raman spectroscopy (TRS), micro-SORS and surface enhanced spatially offset Raman spectroscopy (SESORS), and reviews the progress made in this field during the past 5 years including advances in non-invasive cancer diagnosis, monitoring of neurotransmitters, and assessment of bone disease.
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Affiliation(s)
- Fay Nicolson
- Department of Imaging, Dana-Farber Cancer Institute & Harvard Medical SchoolBostonMA 02215USA
| | - Moritz F. Kircher
- Department of Imaging, Dana-Farber Cancer Institute & Harvard Medical SchoolBostonMA 02215USA
- Department of Radiology, Brigham & Women's Hospital & Harvard Medical SchoolBostonMA 022115USA
| | - Nick Stone
- School of Physics and Astronomy, University of ExeterExeterEX4 4QLUK
- Royal Devon and Exeter NHS Foundation TrustBarrack RoadExeterDevonEX2 5DWUK
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRIHarwellOxfordOX11 0QXUK
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Chen K, Massie C, Berger AJ. Soft-tissue spectral subtraction improves transcutaneous Raman estimates of murine bone strength in vivo. JOURNAL OF BIOPHOTONICS 2020; 13:e202000256. [PMID: 32749067 PMCID: PMC8320303 DOI: 10.1002/jbio.202000256] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/26/2020] [Accepted: 07/30/2020] [Indexed: 06/11/2023]
Abstract
Transcutaneous determination of a bone's Raman spectrum is challenging because the type I collagen in the overlying soft tissue is spectroscopically identical to that in bone. In a previous transcutaneous study of murine tibiae, we developed a library-based model called SOLD to unmix spatially offset Raman measurements into three spectra: a bone estimate, a soft tissue estimate, and a residual. Here, we demonstrate the value of combining the bone estimate and the residual to produce a "top layer subtracted" (tls) spectrum. We report superior prediction of two standard bone metrics (volumetric bone mineralization density and maximum torque) using partial least squares regression models based upon tls spectra rather than SOLD bone estimates, implying that the spectral residuals contain useful information. Simulations reinforce experimental in vivo findings. This chemometric approach, which we denote as SOLD/TLS, could have broad applicability in situations where comprehensive spectral libraries are difficult to acquire.
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Affiliation(s)
- Keren Chen
- The Institute of Optics, University of Rochester, New York, USA
- Contributed equally to this work and should be considered joint first authors
| | - Christine Massie
- Department of Biomedical Engineering, University of Rochester, New York, USA
- Contributed equally to this work and should be considered joint first authors
| | - Andrew J. Berger
- The Institute of Optics, University of Rochester, New York, USA
- Department of Biomedical Engineering, University of Rochester, New York, USA
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Unal M, Uppuganti S, Timur S, Mahadevan-Jansen A, Akkus O, Nyman JS. Assessing matrix quality by Raman spectroscopy helps predict fracture toughness of human cortical bone. Sci Rep 2019; 9:7195. [PMID: 31076574 PMCID: PMC6510799 DOI: 10.1038/s41598-019-43542-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 04/26/2019] [Indexed: 01/10/2023] Open
Abstract
Developing clinical tools that assess bone matrix quality could improve the assessment of a person's fracture risk. To determine whether Raman spectroscopy (RS) has such potential, we acquired Raman spectra from human cortical bone using microscope- and fiber optic probe-based Raman systems and tested whether correlations between RS and fracture toughness properties were statistically significant. Calculated directly from intensities at wavenumbers identified by second derivative analysis, Amide I sub-peak ratio I1670/I1640, not I1670/I1690, was negatively correlated with Kinit (N = 58; R2 = 32.4%) and J-integral (R2 = 47.4%) when assessed by Raman micro-spectroscopy. Area ratios (A1670/A1690) determined from sub-band fitting did not correlate with fracture toughness. There were fewer correlations between RS and fracture toughness when spectra were acquired by probe RS. Nonetheless, the I1670/I1640 sub-peak ratio again negatively correlated with Kinit (N = 56; R2 = 25.6%) and J-integral (R2 = 39.0%). In best-fit general linear models, I1670/I1640, age, and volumetric bone mineral density explained 50.2% (microscope) and 49.4% (probe) of the variance in Kinit. I1670/I1640 and v1PO4/Amide I (microscope) or just I1670/I1640 (probe) were negative predictors of J-integral (adjusted-R2 = 54.9% or 37.9%, respectively). While Raman-derived matrix properties appear useful to the assessment of fracture resistance of bone, the acquisition strategy to resolve the Amide I band needs to be identified.
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Affiliation(s)
- Mustafa Unal
- Department of Orthopaedic Surgery & Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN, 37212, USA
| | - Sasidhar Uppuganti
- Department of Orthopaedic Surgery & Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Selin Timur
- Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Anita Mahadevan-Jansen
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN, 37212, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37212, USA
| | - Ozan Akkus
- Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
- Department of Orthopaedics, Case Western Reserve University, Cleveland, OH, 44106, USA
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Jeffry S Nyman
- Department of Orthopaedic Surgery & Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
- Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN, 37212, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37212, USA.
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11
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Shu C, Chen K, Lynch M, Maher JR, Awad HA, Berger AJ. Spatially offset Raman spectroscopy for in vivo bone strength prediction. BIOMEDICAL OPTICS EXPRESS 2018; 9:4781-4791. [PMID: 30319902 PMCID: PMC6179397 DOI: 10.1364/boe.9.004781] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 08/30/2018] [Accepted: 08/31/2018] [Indexed: 05/08/2023]
Abstract
Bone strength is a worldwide health concern. Although multiple techniques have been developed to evaluate bone quality, there are still gaps to be filled. Here we report a non-invasive approach for the prediction of bone strength in vivo using spatially offset Raman spectroscopy. Raman spectra were acquired transcutaneously from the tibiae of mice from 4 to 23 weeks old and subsequently on the exposed bones. Partial least squares regression was applied to generate predictions of the areal bone mineral density (aBMD), volumetric bone mineralization density (vBMD), and maximum torque (MT) of each tibia as quantified by dual-energy X-ray absorptiometry, microCT imaging, and biomechanical tests, respectively. Significant correlations were observed between Raman spectral predictions and the reference values in all three categories. To our knowledge, this is the first demonstration of Raman spectroscopy predicting a biomechanical bone parameter (MT) in vivo with an uncertainty much smaller than the spread in the reference values.
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Affiliation(s)
- Chi Shu
- The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA
- Contributed equally to this work and should be considered joint first authors
| | - Keren Chen
- The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA
- Contributed equally to this work and should be considered joint first authors
| | - Maria Lynch
- University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642, USA
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
| | - Jason R. Maher
- The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA
| | - Hani A. Awad
- University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642, USA
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
| | - Andrew J. Berger
- The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
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12
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Feng G, Ochoa M, Maher JR, Awad HA, Berger AJ. Sensitivity of spatially offset Raman spectroscopy (SORS) to subcortical bone tissue. JOURNAL OF BIOPHOTONICS 2017; 10:990-996. [PMID: 28464501 PMCID: PMC5971662 DOI: 10.1002/jbio.201600317] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 02/15/2017] [Accepted: 02/28/2017] [Indexed: 05/04/2023]
Abstract
The development of spatially offset Raman spectroscopy (SORS) has enabled deep, non-invasive chemical characterization of turbid media. Here, we use SORS to measure subcortical bone tissue and depth-resolved biochemical variability in intact, exposed murine bones. We also apply the technique to study a mouse model of the genetic bone disorder osteogenesis imperfecta. The results suggest that SORS is more sensitive to disease-related biochemical differences in subcortical trabecular bone and marrow than conventional Raman measurements.
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Affiliation(s)
- Guanping Feng
- University of Rochester, The Institute of Optics, 275 Hutchinson Road, Rochester, New York 14627
| | - Marien Ochoa
- University of Rochester, The Institute of Optics, 275 Hutchinson Road, Rochester, New York 14627
- University of Rochester, Department of Biomedical Engineering, 207 Robert B. Goergen Hall, Rochester, New York 14627
| | - Jason R. Maher
- University of Rochester, The Institute of Optics, 275 Hutchinson Road, Rochester, New York 14627
| | - Hani A. Awad
- University of Rochester, Department of Biomedical Engineering, 207 Robert B. Goergen Hall, Rochester, New York 14627
- University of Rochester Medical Center, The Center for Musculoskeletal Research, 601 Elmwood Avenue, Rochester, New York 14642
| | - Andrew J. Berger
- University of Rochester, The Institute of Optics, 275 Hutchinson Road, Rochester, New York 14627
- University of Rochester, Department of Biomedical Engineering, 207 Robert B. Goergen Hall, Rochester, New York 14627
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Raman Plus X: Biomedical Applications of Multimodal Raman Spectroscopy. SENSORS 2017; 17:s17071592. [PMID: 28686212 PMCID: PMC5539739 DOI: 10.3390/s17071592] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 07/04/2017] [Accepted: 07/04/2017] [Indexed: 12/11/2022]
Abstract
Raman spectroscopy is a label-free method of obtaining detailed chemical information about samples. Its compatibility with living tissue makes it an attractive choice for biomedical analysis, yet its translation from a research tool to a clinical tool has been slow, hampered by fundamental Raman scattering issues such as long integration times and limited penetration depth. In this review we detail the how combining Raman spectroscopy with other techniques yields multimodal instruments that can help to surmount the translational barriers faced by Raman alone. We review Raman combined with several optical and non-optical methods, including fluorescence, elastic scattering, OCT, phase imaging, and mass spectrometry. In each section we highlight the power of each combination along with a brief history and presentation of representative results. Finally, we conclude with a perspective detailing both benefits and challenges for multimodal Raman measurements, and give thoughts on future directions in the field.
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14
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Matousek P, Stone N. Development of deep subsurface Raman spectroscopy for medical diagnosis and disease monitoring. Chem Soc Rev 2016; 45:1794-802. [DOI: 10.1039/c5cs00466g] [Citation(s) in RCA: 124] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The advent of non-invasive deep Raman techniques heralds the emergence of novel diagnostic and disease monitoring methods.
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Affiliation(s)
- Pavel Matousek
- Central Laser Facility
- Research Complex at Harwell
- STFC Rutherford Appleton Laboratory
- Harwell Oxford
- UK
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15
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Maher JR, Chuchuen O, Henderson MH, Kim S, Rinehart MT, Kashuba ADM, Wax A, Katz DF. Co-localized confocal Raman spectroscopy and optical coherence tomography (CRS-OCT) for depth-resolved analyte detection in tissue. BIOMEDICAL OPTICS EXPRESS 2015; 6:2022-35. [PMID: 26114026 PMCID: PMC4473741 DOI: 10.1364/boe.6.002022] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Revised: 05/01/2015] [Accepted: 05/04/2015] [Indexed: 05/21/2023]
Abstract
We report the development of a combined confocal Raman spectroscopy (CRS) and optical coherence tomography (OCT) instrument (CRS-OCT) capable of measuring analytes in targeted biological tissues with sub-100-micron spatial resolution. The OCT subsystem was used to measure depth-resolved tissue morphology and guide the acquisition of chemically-specific Raman spectra. To demonstrate its utility, the instrument was used to accurately measure depth-resolved, physiologically-relevant concentrations of Tenofovir, a microbicide drug used to prevent the sexual transmission of HIV, in ex vivo tissue samples.
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Affiliation(s)
- Jason R. Maher
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Oranat Chuchuen
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Marcus H. Henderson
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Sanghoon Kim
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Matthew T. Rinehart
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Angela D. M. Kashuba
- University of North Carolina Eshelman School of Pharmacy and University of North Carolina Center for AIDS Research, University of North Carolina, Chapel Hill, NC, USA
- Department of Infectious Diseases, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Adam Wax
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - David F. Katz
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
- Department of Obstetrics and Gynecology, Duke University, Durham, NC 27708, USA
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16
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Mandair GS, Morris MD. Contributions of Raman spectroscopy to the understanding of bone strength. BONEKEY REPORTS 2015; 4:620. [PMID: 25628882 DOI: 10.1038/bonekey.2014.115] [Citation(s) in RCA: 210] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Accepted: 10/24/2014] [Indexed: 02/07/2023]
Abstract
Raman spectroscopy is increasingly commonly used to understand how changes in bone composition and structure influence tissue-level bone mechanical properties. The spectroscopic technique provides information on bone mineral and matrix collagen components and on the effects of various matrix proteins on bone material properties as well. The Raman spectrum of bone not only contains information on bone mineral crystallinity that is related to bone hardness but also provides information on the orientation of mineral crystallites with respect to the collagen fibril axis. Indirect information on collagen cross-links is also available and will be discussed. After a short introduction to bone Raman spectroscopic parameters and collection methodologies, advances in in vivo Raman spectroscopic measurements for animal and human subject studies will be reviewed. A discussion on the effects of aging, osteogenesis imperfecta, osteoporosis and therapeutic agents on bone composition and mechanical properties will be highlighted, including genetic mouse models in which structure-function and exercise effects are explored. Similarly, extracellular matrix proteins, proteases and transcriptional proteins implicated in the regulation of bone material properties will be reviewed.
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Affiliation(s)
- Gurjit S Mandair
- Department of Chemistry, University of Michigan , Ann Arbor, MI, USA
| | - Michael D Morris
- Department of Chemistry, University of Michigan , Ann Arbor, MI, USA
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17
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Soares LGP, Marques AMC, Aciole JMS, da Guarda MG, Cangussú MCT, Silveira L, Pinheiro ALB. Do laser/LED phototherapies influence the outcome of the repair of surgical bone defects grafted with biphasic synthetic microgranular HA + β-tricalcium phosphate? A Raman spectroscopy study. Lasers Med Sci 2014; 29:1575-84. [DOI: 10.1007/s10103-014-1563-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Accepted: 03/03/2014] [Indexed: 10/25/2022]
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18
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Lan SM, Wu YN, Wu PC, Sun CK, Shieh DB, Lin RM. Advances in noninvasive functional imaging of bone. Acad Radiol 2014; 21:281-301. [PMID: 24439341 DOI: 10.1016/j.acra.2013.11.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2013] [Revised: 11/20/2013] [Accepted: 11/26/2013] [Indexed: 02/03/2023]
Abstract
The demand for functional imaging in clinical medicine is comprehensive. Although the gold standard for the functional imaging of human bones in clinical settings is still radionuclide-based imaging modalities, nonionizing noninvasive imaging technology in small animals has greatly advanced in recent decades, especially the diffuse optical imaging to which Britton Chance made tremendous contributions. The evolution of imaging probes, instruments, and computation has facilitated exploration in the complicated biomedical research field by allowing longitudinal observation of molecular events in live cells and animals. These research-imaging tools are being used for clinical applications in various specialties, such as oncology, neuroscience, and dermatology. The Bone, a deeply located mineralized tissue, presents a challenge for noninvasive functional imaging in humans. Using nanoparticles (NP) with multiple favorable properties as bioimaging probes has provided orthopedics an opportunity to benefit from these noninvasive bone-imaging techniques. This review highlights the historical evolution of radionuclide-based imaging, computed tomography, positron emission tomography, and magnetic resonance imaging, diffuse optics-enabled in vivo technologies, vibrational spectroscopic imaging, and a greater potential for using NPs for biomedical imaging.
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Maher JR, Matthews TE, Reid AK, Katz DF, Wax A. Sensitivity of coded aperture Raman spectroscopy to analytes beneath turbid biological tissue and tissue-simulating phantoms. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:117001. [PMID: 25371979 PMCID: PMC4221093 DOI: 10.1117/1.jbo.19.11.117001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 09/24/2014] [Indexed: 05/05/2023]
Abstract
Traditional slit-based spectrometers have an inherent trade-off between spectral resolution and throughput that can limit their performance when measuring diffuse sources such as light returned from highly scattering biological tissue. Recently, multielement fiber bundles have been used to effectively measure diffuse sources, e.g., in the field of spatially offset Raman spectroscopy, by remapping the source (or some region of the source) into a slit shape for delivery to the spectrometer. Another approach is to change the nature of the instrument by using a coded entrance aperture, which can increase throughput without sacrificing spectral resolution.In this study, two spectrometers, one with a slit-based entrance aperture and the other with a coded aperture, were used to measure Raman spectra of an analyte as a function of the optical properties of an overlying scattering medium. Power-law fits reveal that the analyte signal is approximately proportional to the number of transport mean free paths of the scattering medium raised to a power of -0.47 (coded aperture instrument) or -1.09 (slit-based instrument). These results demonstrate that the attenuation in signal intensity is more pronounced for the slit-based instrument and highlight the scattering regimes where coded aperture instruments can provide an advantage over traditional slit-based spectrometers.
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Affiliation(s)
- Jason R. Maher
- Duke University, Department of Biomedical Engineering, Durham, North Carolina 27708, United States
| | - Thomas E. Matthews
- Duke University, Department of Biomedical Engineering, Durham, North Carolina 27708, United States
| | - Ashley K. Reid
- Duke University, Department of Biomedical Engineering, Durham, North Carolina 27708, United States
| | - David F. Katz
- Duke University, Department of Biomedical Engineering, Durham, North Carolina 27708, United States
- Duke University, Department of Obstetrics and Gynecology, Durham, North Carolina 27708, United States
| | - Adam Wax
- Duke University, Department of Biomedical Engineering, Durham, North Carolina 27708, United States
- Address all correspondence to: Adam Wax, E-mail:
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Affiliation(s)
- Karen A. Antonio
- University of Notre Dame, Department of
Chemistry and Biochemistry, Notre
Dame, Indiana 46556, United States
| | - Zachary D. Schultz
- University of Notre Dame, Department of
Chemistry and Biochemistry, Notre
Dame, Indiana 46556, United States
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