Raman spectroscopy-based water measurements identify the origin of MRI T2 signal in human articular cartilage zones and predict histopathologic score.

Mustafa Unal, Robert L Wilson, Corey P Neu, Ozan Akkus

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Article in Journal of biophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

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2citing papers in PubMed

0.5field-weighted citation impact, top 33% of its field

1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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2 citing papers in PubMed, 3 citations in OpenAlex.

Bone intrinsic material and compositional properties in postmenopausal women diagnosed with long-term Type-1 diabetes.Bone · 2023
Article
Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 2: in-vivo tumor-targeting using a classification model combining spectral and MRI-radiomics features.Journal of biomedical optics · 2022
Article

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Mustafa UnalDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-9518-8952

Robert L WilsonPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.

Corey P NeuPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.

Ozan AkkusDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

University of Colorado Boulder · USCase Western Reserve University · USKaramanoğlu Mehmetbey University · TR

Funding

Probing Osteoarthritis Pathogenesis by Noninvasive Imaging of Cartilage StrainR01AR063712 · NIAMS · UNIVERSITY OF COLORADO · PI NEU, COREY P · 2013 to 2023

$4.7M

NIAMS NIH HHS R01 AR063712NIH HHS NIH R01 AR063712

6 · The paper itself

Abstract

We investigated for the first time zonal-dependent water distribution in articular cartilage by Raman spectroscopy (RS). We further investigated the association of histopathologic score with RS- and magnetic resonance imaging (MRI)-based water measurements. Cadaveric human cartilage plugs (N = 16) with different osteoarthritis (OA) severity were used. Water content distribution in cartilage zones was probed using RS- and MRI-based techniques. Histopathologic scoring was performed by two independent observers blindly. Moderate associations existed between RS- and MRI-based water measurements across all cartilage zones. RS-based analysis of different water compartments helped assign the origin of the T2 signal collected from the various cartilage zones. RS-based water parameters significantly correlated with OA-severity score, whereas MRI-based water measurements did not. RS can probe different water compartments in cartilage zones and predict up to 66% of the variation observed in the histopathologic score. RS-based water measurement could be developed further to assess cartilage quality in the clinic.

Indexed as

Cartilage, ArticularOsteoarthritisHumansMagnetic Resonance ImagingSpectrum Analysis, RamanWaterWaterarticular cartilagehistopathologyMRIosteoarthritisRaman spectroscopywater

Identifiers

PMID34669263

DOI10.1002/jbio.202100212

PMCPMC8727564

OpenAlexW3207496992

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.