Research: Evaluation of bone mineral density of the lumbar spine using a novel phantomless dual-energy CT post-processing algorithm in comparison with dual-energy X-ray absorptiometry.

 2017;1(1):11. doi: 10.1186/s41747-017-0017-2. Epub 2017 Sep 20.

Evaluation of bone mineral density of the lumbar spine using a novel phantomless dual-energy CT post-processing algorithm in comparison with dual-energy X-ray absorptiometry.

Abstract

BACKGROUND:

Current techniques for evaluation of bone mineral density (BMD) commonly require phantom calibration. The purpose of this study was to evaluate a novel algorithm for phantomless in vivo dual-energy computed tomography (DECT)-based assessment of BMD of the lumbar spine in comparison with dual-energy X-ray absorptiometry (DEXA).

METHODS:

Data from clinically indicated DECT and DEXA examinations within two months comprising the lumbar spine of 47 patients were retrospectively evaluated. By using a novel automated dedicated post-processing algorithm for DECT, the trabecular bone of lumbar vertebrae L1-L4 was selected and analysed. Linear correlation was analysed using Pearson’s product-moment correlation coefficient for the comparison of the results from DECT and DEXA.

RESULTS:

A total of 186 lumbar vertebrae in 47 patients (mean age, 58 years; age range, 24-85 years) were analysed, 24 men (mean age, 55 years; age range, 24-85 years) and 23 women (mean age, 59 years; age range, 31-80 years). Mean BMD of L1-L4 determined with DEXA was 0.985 g/cm2 and 20/47 patients (42.6%) showed an osteoporotic BMD (T score lower than - 2.5) of at least two vertebrae. Average DECT-based BMD of L1-L4 was 86.8 mg/cm3. Regression analysis demonstrated a lack of correlation between DECT- and DEXA-based BMD values with a Pearson’s product-moment correlation coefficient r = 0.4205.

CONCLUSIONS:

Dedicated post-processing of DECT data using a novel algorithm for retrospective phantomless BMD assessment of the trabecular bone of lumbar vertebrae from clinically indicated DECT examinations is feasible.

https://www.ncbi.nlm.nih.gov/pubmed/29708178

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