Raman spectroscopic analysis for osteoporosis identification in humans with hip fractures.
Spectrochim Acta A Mol Biomol Spectrosc
; 314: 124193, 2024 Jun 05.
Article
in En
| MEDLINE
| ID: mdl-38569386
ABSTRACT
Osteoporosis is a significant health concern. While multiple techniques have been utilized to diagnose this condition, certain limitations still persist. Raman spectroscopy has shown promise in predicting bone strength in animal models, but its application to humans requires further investigation. In this study, we present an in vitro approach for predicting osteoporosis in 10 patients with hip fractures using Raman spectroscopy. Raman spectra were acquired from exposed femoral heads collected during surgery. Employing a leave-one-out cross-validated linear discriminant analysis (LOOCV-LDA), we achieved accurate classification (90 %) between osteoporotic and osteopenia groups. Additionally, a LOOCV partial least squares regression (PLSR) analysis based on the complete Raman spectra demonstrated a significant prediction (r2 = 0.84, p < 0.05) of bone mineral density as measured by dual X-ray absorptiometry (DXA). To the best of our knowledge, this study represents the first successful demonstration of Raman spectroscopy correlating with osteoporotic status in humans.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Osteoporosis
/
Hip Fractures
Limits:
Animals
/
Humans
Language:
En
Journal:
Spectrochim Acta A Mol Biomol Spectrosc
/
Spectrochim. acta, Part A, Mol. biomol. spectrosc. (Print)
/
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy (Print)
Journal subject:
BIOLOGIA MOLECULAR
Year:
2024
Document type:
Article
Country of publication:
Reino Unido