Osteoporosis, bone & mineral

Cervicothoracic volumetric bone mineral density assessed by opportunistic quantitative computed tomography (QCT) may be a reliable marker for osteoporosis in adults

Osteoporos IntPublished Diagnostic accuracy study

Authors' conclusion

Cervicothoracic vBMD may allow for determination of osteoporosis and prediction of VFs.

Study context

Population
Patients with routine non-contrast or contrast-enhanced multi-detector CT (MDCT) scans (65.3 ± 19.2 years, 140 women)140 women
Participants
325 patients
Comparison
Cervical and thoracic volumetric bone mineral density (vBMD) vs lumbar vBMD for discriminating osteoporosis and prevalent vertebral fractures (VFs)
Outcome
Discrimination of osteoporosis (lumbar vBMD < 80 mg/cm³) by cervicothoracic vBMD
Methodological detailsopportunistic QCT, convolutional neural network (CNN)-based automated vBMD extraction, lumbar vBMD as reference
  • Opportunistic QCT
  • CNN-based automated vBMD extraction
  • Lumbar vBMD as reference

Performance

As reported in the abstract

Discrimination of osteoporosis (vBMD < 80 mg/cm³)
Test or modelAUCAUC excluding degenerated vertebrae
Cervical vBMD0.940.97
Thoracic vBMD0.97— not stated in the abstract

AUC

Cervical vBMD0.94
Thoracic vBMD0.97

AUC excluding degenerated vertebrae

Cervical vBMD0.97
Thoracic vBMD— not stated in the abstract

— not stated in the abstract

Further findings

OutcomeCervical vBMDThoracic vBMDLumbar vBMD
Discrimination of patients with vs without prevalent VFs
AUC0.740.720.72
Proposed vBMD cut-offs indicating osteoporosis< 190 mg/cm³< 100 mg/cm³< 80 mg/cm³

Correlation of cervicothoracic with lumbar vBMD

Correlation, all vertebrae
r = 0.79
Correlation after excluding degenerated vertebrae (except C7-T3 and T9)
r = 0.89
  • Significant improvement after excluding degenerated vertebrae (p < 0.05)

Original publication

Cervicothoracic volumetric bone mineral density assessed by opportunistic QCT may be a reliable marker for osteoporosis in adults. Osteoporos Int. Published 31 December 2024. doi:10.1007/s00198-024-07373-1

Composed by AI from the published abstract and checked against it. How Briefs are made →

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