Can Ultrasonographic Measurement of Bone Cortical Thickness Predict Osteoporosis?

Acad Radiol. 2023 Mar;30(3):516-527. doi: 10.1016/j.acra.2022.07.021. Epub 2022 Aug 30.

Abstract

Rationale and objectives: In this study, we aimed to describe a more accessible and safe diagnostic tool for osteoporosis or osteopenia diagnosis. We utilized cortical thickness (CoT) measurement of various bones via ultrasonography and evaluated the method's accuracy relative to bone mineral density (BMD) results determined by dual-energy X-ray absorptiometry (DXA).

Materials and methods: A total of 200 volunteers (all female) who agreed to participate in the study and had undergone BMD measurement (femoral or vertebral) were included in the study. Patients with normal BMD result (≥-1.0 T-score) were defined as controls. CoT measurements were made from three bones (radius, tibia, and second metatarsal) for each patient via ultrasonography.

Results: Radius CoT and tibial CoT measurements of both femoral and vertebral osteoporotic or osteopenic patients were significantly higher compared to controls. Second metatarsal CoT of femoral osteoporotic and osteopenic patients was also found to be significantly higher than the control group. We found tibia CoT and radius CoT to have high sensitivity and positive predictive value in identifying patients with abnormal femoral T-scores (<-1). In multivariable analyzes, radius CoT was found to be independently predictive in distinguishing patients with abnormal T-score (<-1) from controls in both the femur and vertebral BMD groups.

Conclusion: Radius CoT and tibia CoT values appear to have value in predicting patients with abnormal T-scores measured via DXA. This method may be a very simple technique that can be used for early detection of osteoporosis and osteopenia, but its results need to be supported by more comprehensive studies.

Keywords: Bone mineral density; Cortical thickness; Osteopenia; Osteoporosis; Sonographic imaging.

MeSH terms

  • Absorptiometry, Photon
  • Bone Density
  • Bone Diseases, Metabolic* / diagnostic imaging
  • Bone and Bones
  • Female
  • Humans
  • Osteoporosis* / diagnostic imaging