Evidence map›Paper›PMID 42603948›Full record

ArticleMethodsX2026

Visible and near-infrared spectroscopic method for correlative joint tissue analysis and visual and histologic grading.

Amanda Spurri, Shu-Jin Kust, Alexandra Arnold, Petra Baylin, Nicholas Allen, Binyam Fentaw, Leslie Barnes, Daniela Proca, Nancy Pleshko

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In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Amanda SpurriTemple University, Department of Bioengineering, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Shu-Jin KustTemple University, Department of Bioengineering, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Alexandra ArnoldLewis Katz School of Medicine, Temple University, Department of Orthopedic Surgery and Sports Medicine, 3500 N. Broad Street, Philadelphia, PA, 19140, USA.
Petra BaylinTemple University, Department of Bioengineering, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.
Nicholas AllenLewis Katz School of Medicine, Temple University, Department of Orthopedic Surgery and Sports Medicine, 3500 N. Broad Street, Philadelphia, PA, 19140, USA.
Binyam FentawLewis Katz School of Medicine Temple University, Department of Pathology and Laboratory Medicine, 3500 N. Broad Street, Philadelphia, PA, 19140, USA.
Leslie BarnesLewis Katz School of Medicine, Temple University, Department of Orthopedic Surgery and Sports Medicine, 3500 N. Broad Street, Philadelphia, PA, 19140, USA.
Daniela ProcaLewis Katz School of Medicine Temple University, Department of Pathology and Laboratory Medicine, 3500 N. Broad Street, Philadelphia, PA, 19140, USA.
Nancy PleshkoTemple University, Department of Bioengineering, 1947 N. 12th Street, Philadelphia, PA, 19122, USA.

Funding

Overall: Resource-based Center for Musculoskeletal Disorders Research (Overall Application)P30AR069619 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI LOUIS J SOSLOWSKY · 2016 to 2026
$9.1M
Evaluation of Cartilage Tissue Engineering Strategies by IR ImagingR01AR056145 · NIAMS · TEMPLE UNIV OF THE COMMONWEALTH · PI PLESHKO, NANCY · 2009 to 2020
$3.3M
NIAMS NIH HHS P30 AR069619NIAMS NIH HHS R01 AR056145
6 · The paper itself

Abstract

Visible near-infrared (VNIR) spectroscopy is an analytical modality being investigated for non-destructive compositional assessment of musculoskeletal tissues, with recent work focused on development to enhance arthroscopic diagnostics. In this context, a primary objective is validation of the approach with histological grading which entails 1. Collection of hundreds of spectra from regions of joint cartilage in various degradation states followed by 2. Gold standard tissue histological grading, and 3. Correlative analysis of those data sets. A significant related challenge is spatial identification of regions of VNIR spectra collection from intact tissue segments and subsequent precision matching of those regions to guide locations for histological grading. Through establishing robust data sets, improved multivariate models can be developed for optical spectroscopic data-guided cartilage diagnostics. The method described here proposes a strategy to support this essential aspect of data collection required to advance the VNIR modality for arthroscopic use and includes guidance for the following: •Collection of VNIR spectra from human joint tissues after surgical tissue excision as part of arthroplasty surgery •Association of collected spectra with tissue spatial location and identification of locations for histology grading •Correlative multivariate analysis of VNIR spectra with corresponding histologic grade.

Indexed as

CartilageFiber optic probesHistologic gradingMusculoskeletal tissuesVibrational spectroscopy

Identifiers

PMID42603948
PMCPMC13476469

What Socratic holds

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Registered trials

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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 Socratic graph.