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Predicting Wrist Osteoporosis from excised human finger bones using spatially offset Raman spectroscopy - A Cadaveric

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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.

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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.