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Predicting Wrist Osteoporosis from excised human finger bones using spatially offset Raman spectroscopy - A Cadaveric
Mohammad Hosseini1, Sadia Afrin2, Anthony Yosick2,3
1The Institute of Optics, University of Rochester, 275 Hutchison Rd, Rochester, NY 14620, USA.
Arxiv
|November 24, 2025
Summary
Spatially Offset Raman Spectroscopy (SORS) on finger bones can detect biochemical changes associated with osteoporosis. This non-ionizing technique shows promise for prescreening bone density loss, potentially replacing traditional methods.
Area of Science:
- Biomedical Spectroscopy
- Skeletal Biology
- Diagnostic Imaging
Background:
- Osteoporosis and osteopenia are underdiagnosed conditions.
- Current screening relies on dual-energy X-ray absorptiometry (DXA), which measures bone mineral density (BMD) but misses compositional changes.
- There is a need for alternative, non-ionizing screening tools.
Purpose of the Study:
- To investigate Spatially Offset Raman Spectroscopy (SORS) for assessing subsurface biochemical markers in excised finger bones.
- To determine if SORS can diagnose osteoporosis and osteopenia.
- To predict wrist DXA T-scores using phalangeal bone spectra.
Main Methods:
- Ex vivo Raman spectroscopy was performed on proximal phalanges from 25 female cadavers with known T-scores.
- Spectra were acquired at spatial offsets of 0, 3, and 6 mm.
- Partial-least-squares regression was used to build a predictive model for DXA T-scores.
Main Results:
- Group-averaged spectra at a 3-mm offset showed significant differences in mineral-to-matrix ratios between normal, osteopenic, and osteoporotic bone.
- The 3-mm offset provided better discrimination than 0-mm or 6-mm offsets.
- A predictive model based on 3-mm offset spectra correlated with distal radius DXA T-scores (r=0.85) and correctly classified 92% of specimens.
Conclusions:
- SORS with a 3-mm offset is sensitive to biochemical changes in bone composition.
- Phalangeal Raman spectra can serve as non-ionizing surrogates for wrist DXA metrics.
- Subsurface Raman spectroscopy shows potential as a fast, non-invasive prescreening tool for osteoporosis.

