Evidence map›Paper›PMID 35003849›Full record

ArticleBiomedical optics express2021

Determination of best Raman spectroscopy spatial offsets for transcutaneous bone quality assessments in human hands.

Keren Chen, Christine Massie, Hani A Awad, Andrew J Berger

Abstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Bone Fragility: Time to Address the Matrix.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. In Vivo Assessment of Bone Quality Without X-rays.Current osteoporosis reports · 2024
    Review
  7. Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality.Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy · 2023
    Article
  8. Article
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

4 authors.

Keren ChenThe Institute of Optics, University of Rochester, Rochester, NY 14620, USA.
Christine MassieDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14620, USA.ORCID https://orcid.org/0000-0003-0616-7963
Hani A AwadDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14620, USA.
Andrew J BergerThe Institute of Optics, University of Rochester, Rochester, NY 14620, USA.ORCID https://orcid.org/0000-0001-5090-1198

Funding

Rochester Resource-Based Center for Bone, Muscle and Orthopaedic Research (ROCSTARR) (Overall Application)P30AR069655 · NIAMS · UNIVERSITY OF ROCHESTER · PI Edward M. Schwarz · 2016 to 2026
$7.8M
Raman spectroscopic platform for transcutaneous monitoring of bone qualityR01AR070613 · NIAMS · UNIVERSITY OF ROCHESTER · PI Hani A Awad, ANDREW J BERGER · 2016 to 2026
$4.0M
NIAMS NIH HHS P30 AR069655NIAMS NIH HHS R01 AR070613
6 · The paper itself

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.

Identifiers

PMID35003849
PMCPMC8713657

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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.