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Near Infrared Spectroscopic Mapping of Functional Properties of Equine Articular Cartilage

Sarin, Jaakko K. ; Amissah, Michael ; Brommer, Harold ; [et al.]

Springer Science and Business Media LLC ; 2016

In: Annals of Biomedical Engineering Vol. 44, No. 11 ( 2016-11), p. 3335-3345

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In: Annals of Biomedical Engineering, Springer Science and Business Media LLC, Vol. 44, No. 11 ( 2016-11), p. 3335-3345

Type of Medium: Online Resource

ISSN: 0090-6964 , 1573-9686

URL: Article

DOI: 10.1007/s10439-016-1659-6

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2016

detail.hit.zdb_id: 1477155-X

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Visible and Near-Infrared Spectroscopy Enables Differentiation of Normal and Early Osteoarthritic Human Knee Joint Articular Cartilage

Linus, Awuniji ; Tanska, Petri ; Sarin, Jaakko K. ; [et al.]

Springer Science and Business Media LLC ; 2023

In: Annals of Biomedical Engineering Vol. 51, No. 10 ( 2023-10), p. 2245-2257

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In: Annals of Biomedical Engineering, Springer Science and Business Media LLC, Vol. 51, No. 10 ( 2023-10), p. 2245-2257

Abstract: Osteoarthritis degenerates cartilage and impairs joint function. Early intervention opportunities are missed as current diagnostic methods are insensitive to early tissue degeneration. We investigated the capability of visible light-near-infrared spectroscopy (Vis-NIRS) to differentiate normal human cartilage from early osteoarthritic one. Vis-NIRS spectra, biomechanical properties and the state of osteoarthritis (OARSI grade) were quantified from osteochondral samples harvested from different anatomical sites of human cadaver knees. Two support vector machines (SVM) classifiers were developed based on the Vis-NIRS spectra and OARSI scores. The first classifier was designed to distinguish normal (OARSI: 0–1) from general osteoarthritic cartilage (OARSI: 2–5) to check the general suitability of the approach yielding an average accuracy of 75% (AUC = 0.77). Then, the second classifier was designed to distinguish normal from early osteoarthritic cartilage (OARSI: 2–3) yielding an average accuracy of 71% (AUC = 0.73). Important wavelength regions for differentiating normal from early osteoarthritic cartilage were related to collagen organization (wavelength region: 400–600 nm), collagen content (1000–1300 nm) and proteoglycan content (1600–1850 nm). The findings suggest that Vis-NIRS allows objective differentiation of normal and early osteoarthritic tissue, e.g., during arthroscopic repair surgeries.

Type of Medium: Online Resource

ISSN: 0090-6964 , 1573-9686

URL: Article

DOI: 10.1007/s10439-023-03261-7

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2023

detail.hit.zdb_id: 1477155-X

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Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea

Korkalainen, Henri ; Leppanen, Timo ; Duce, Brett ; [et al.]

Institute of Electrical and Electronics Engineers (IEEE) ; 2021

In: IEEE Journal of Biomedical and Health Informatics Vol. 25, No. 7 ( 2021-7), p. 2567-2574

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In: IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers (IEEE), Vol. 25, No. 7 ( 2021-7), p. 2567-2574

Type of Medium: Online Resource

ISSN: 2168-2194 , 2168-2208

URL: Article

DOI: 10.1109/JBHI.2020.3043507

Language: Unknown

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publication Date: 2021

detail.hit.zdb_id: 2687987-6

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Impact of experimental setup parameters on the measurement of articular cartilage optical properties in the visible and short near-infrared spectral bands

Kafian-Attari, Iman ; Nippolainen, Ervin ; Bergmann, Florian ; [et al.]

Optica Publishing Group ; 2023

In: Biomedical Optics Express Vol. 14, No. 7 ( 2023-07-01), p. 3397-

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In: Biomedical Optics Express, Optica Publishing Group, Vol. 14, No. 7 ( 2023-07-01), p. 3397-

Abstract: There is increasing research on the potential application of diffuse optical spectroscopy and hyperspectral imaging for characterizing the health of the connective tissues, such as articular cartilage, during joint surgery. These optical techniques facilitate the rapid and objective diagnostic assessment of the tissue, thus providing unprecedented information toward optimal treatment strategy. Adaption of optical techniques for diagnostic assessment of musculoskeletal disorders, including osteoarthritis, requires precise determination of the optical properties of connective tissues such as articular cartilage. As every indirect method of tissue optical properties estimation consists of a measurement step followed by a computational analysis step, there are parameters associated with these steps that could influence the estimated values of the optical properties. In this study, we report the absorption and reduced scattering coefficients of articular cartilage in the spectral band of 400-1400 nm. We assess the impact of the experimental setup parameters, including surrounding medium, sample volume, and scattering anisotropy factor on the reported optical properties. Our results suggest that the absorption coefficient of articular cartilage is sensitive to the variation in the surrounding medium, whereas its reduced scattering coefficient is invariant to the experimental setup parameters.

Type of Medium: Online Resource

ISSN: 2156-7085 , 2156-7085

URL: Article

DOI: 10.1364/BOE.488801

Language: English

Publisher: Optica Publishing Group

Publication Date: 2023

detail.hit.zdb_id: 2572216-5

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Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure

Sarin, Jaakko K. ; Rieppo, Lassi ; Brommer, Harold ; [et al.]

Springer Science and Business Media LLC ; 2017

In: Scientific Reports Vol. 7, No. 1 ( 2017-09-06)

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In: Scientific Reports, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2017-09-06)

Abstract: Conventional arthroscopic evaluation of articular cartilage is subjective and poorly reproducible. Therefore, implementation of quantitative diagnostic techniques, such as near infrared spectroscopy (NIRS) and optical coherence tomography (OCT), is essential. Locations ( n = 44) with various cartilage conditions were selected from mature equine fetlock joints ( n = 5). These locations and their surroundings were measured with NIRS and OCT ( n = 530). As a reference, cartilage proteoglycan (PG) and collagen contents, and collagen network organization were determined using quantitative microscopy. Additionally, lesion severity visualized in OCT images was graded with an automatic algorithm according to International Cartilage Research Society (ICRS) scoring system. Artificial neural network with variable selection was then employed to predict cartilage composition in the superficial and deep zones from NIRS data, and the performance of two models, generalized (including all samples) and condition-specific models (based on ICRS-grades), was compared. Spectral data correlated significantly ( p 〈 0.002) with PG and collagen contents, and collagen orientation in the superficial and deep zones. The combination of NIRS and OCT provided the most reliable outcome, with condition-specific models having lower prediction errors (9.2%) compared to generalized models (10.4%). Therefore, the results highlight the potential of combining both modalities for comprehensive evaluation of cartilage during arthroscopy.

Type of Medium: Online Resource

ISSN: 2045-2322

URL: Article

DOI: 10.1038/s41598-017-10973-z

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2017

detail.hit.zdb_id: 2615211-3

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Author Correction: Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea

Nikkonen, Sami ; Afara, Isaac O. ; Leppänen, Timo ; [et al.]

Springer Science and Business Media LLC ; 2020

In: Scientific Reports Vol. 10, No. 1 ( 2020-03-13)

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In: Scientific Reports, Springer Science and Business Media LLC, Vol. 10, No. 1 ( 2020-03-13)

Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Type of Medium: Online Resource

ISSN: 2045-2322

URL: Article

DOI: 10.1038/s41598-020-62003-0

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2020

detail.hit.zdb_id: 2615211-3

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Near-Infrared Spectroscopy for Mapping of Human Meniscus Biochemical Constituents

Ala-Myllymäki, Juho ; Paakkonen, Tommi ; Joukainen, Antti ; [et al.]

Springer Science and Business Media LLC ; 2021

In: Annals of Biomedical Engineering Vol. 49, No. 1 ( 2021-01), p. 469-476

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In: Annals of Biomedical Engineering, Springer Science and Business Media LLC, Vol. 49, No. 1 ( 2021-01), p. 469-476

Abstract: Degenerative changes in meniscus are diagnosed during surgery by means of mechanical testing and visual evaluation. This method is qualitative and highly subjective, providing very little information on the internal state of the meniscus. Thus, there is need for novel quantitative methods that can support decision-making during arthroscopic surgery. In this study, we investigate the potential of near-infrared spectroscopy (NIRS) for mapping the biochemical constituents of human meniscus, including water, uronic acid, and hydroxyproline contents. Partial least squares regression models were developed using data from 115 measurement locations of menisci samples extracted from 7 cadavers and 11 surgery patient donors. Model performance was evaluated using an independent test set consisting of 55 measurement locations within a meniscus sample obtained from a separate cadaver. The correlation coefficient of calibration ( ρ training ), test set ( ρ test ), and root-mean-squared error of test set (RMSEP) were as follows: water ( ρ training = 0.61, ρ test = 0.39, and RMSEP = 2.27 percentage points), uronic acid ( ρ training = 0.68, ρ test = 0.69, and RMSEP = 6.09 basis points), and hydroxyproline ( ρ training = 0.84, ρ test = 0.58, and error = 0.54 percentage points). In conclusion, the results suggest that NIRS could enable rapid arthroscopic mapping of changes in meniscus biochemical constituents, thus providing means for quantitative assessment of meniscus degeneration.

Type of Medium: Online Resource

ISSN: 0090-6964 , 1573-9686

URL: Article

DOI: 10.1007/s10439-020-02578-x

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2021

detail.hit.zdb_id: 1477155-X

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Tribological efficacy and stability of phospholipid-based membrane lubricants in varying p H chemical conditions

Pawlak, Zenon ; Urbaniak, Wieslaw ; Afara, Isaac O. ; [et al.]

American Vacuum Society ; 2016

In: Biointerphases Vol. 11, No. 1 ( 2016-03-01)

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In: Biointerphases, American Vacuum Society, Vol. 11, No. 1 ( 2016-03-01)

Abstract: In this study, the authors examine the influence of joint chemical environment by measuring changes in the tribological properties (friction coefficient and charge density) of contacting surfaces of normal and degenerated cartilage samples in bath solutions of varying pH (2.0–9.0). Bovine articular cartilage samples (n = 54) were subjected to several surface measurements, including interfacial energy, contact angle, and friction coefficient, at varying pH. The samples were delipidized and then subjected to the same measurement protocols. Our results reveal that the interfacial energy and charge density, which have been shown to be related to friction coefficient, decrease with pH in the acidic range and approach constant values at physiological (or synovial fluid) pH of 7.4 and beyond it, i.e., toward basic pH domain. The authors conclude that this rather complex response explains the long-term efficacy with respect to ageing and associated pH changes, of the phospholipid layers that facilitate the almost frictionless, hydration–lubrication involving contact in the mammalian musculoskeletal system.

Type of Medium: Online Resource

ISSN: 1934-8630 , 1559-4106

URL: Article

DOI: 10.1116/1.4939246

Language: English

Publisher: American Vacuum Society

Publication Date: 2016

detail.hit.zdb_id: 2234510-3

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Near infrared spectroscopic evaluation of biochemical and crimp properties of knee joint ligaments and patellar tendon

Torniainen, Jari ; Ristaniemi, Aapo ; Sarin, Jaakko K. ; [et al.]

Public Library of Science (PLoS) ; 2022

In: PLOS ONE Vol. 17, No. 2 ( 2022-2-14), p. e0263280-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 2 ( 2022-2-14), p. e0263280-

Abstract: Knee ligaments and tendons play an important role in stabilizing and controlling the motions of the knee. Injuries to the ligaments can lead to abnormal mechanical loading of the other supporting tissues (e.g., cartilage and meniscus) and even osteoarthritis. While the condition of knee ligaments can be examined during arthroscopic repair procedures, the arthroscopic evaluation suffers from subjectivity and poor repeatability. Near infrared spectroscopy (NIRS) is capable of non-destructively quantifying the composition and structure of collagen-rich connective tissues, such as articular cartilage and meniscus. Despite the similarities, NIRS-based evaluation of ligament composition has not been previously attempted. In this study, ligaments and patellar tendon of ten bovine stifle joints were measured with NIRS, followed by chemical and histological reference analysis. The relationship between the reference properties of the tissue and NIR spectra was investigated using partial least squares regression. NIRS was found to be sensitive towards the water ( R 2 CV = .65) and collagen ( R 2 CV = .57) contents, while elastin, proteoglycans, and the internal crimp structure remained undetectable. As collagen largely determines the mechanical response of ligaments, we conclude that NIRS demonstrates potential for quantitative evaluation of knee ligaments.

Type of Medium: Online Resource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0263280

DOI: 10.1371/journal.pone.0263280.g001

DOI: 10.1371/journal.pone.0263280.g002

DOI: 10.1371/journal.pone.0263280.g003

DOI: 10.1371/journal.pone.0263280.g004

DOI: 10.1371/journal.pone.0263280.g005

DOI: 10.1371/journal.pone.0263280.g006

DOI: 10.1371/journal.pone.0263280.t001

DOI: 10.1371/journal.pone.0263280.t002

DOI: 10.1371/journal.pone.0263280.s001

DOI: 10.1371/journal.pone.0263280.r001

DOI: 10.1371/journal.pone.0263280.r002

DOI: 10.1371/journal.pone.0263280.r003

DOI: 10.1371/journal.pone.0263280.r004

Language: English

Publisher: Public Library of Science (PLoS)

Publication Date: 2022

detail.hit.zdb_id: 2267670-3

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Power spectral densities of nocturnal pulse oximetry signals differ in OSA patients with and without daytime sleepiness

Kainulainen, Samu ; Töyräs, Juha ; Oksenberg, Arie ; [et al.]

Elsevier BV ; 2020

In: Sleep Medicine Vol. 73 ( 2020-09), p. 231-237

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In: Sleep Medicine, Elsevier BV, Vol. 73 ( 2020-09), p. 231-237

Type of Medium: Online Resource

ISSN: 1389-9457

URL: Article

DOI: 10.1016/j.sleep.2020.07.015

Language: English

Publisher: Elsevier BV

Publication Date: 2020

detail.hit.zdb_id: 2041737-8

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