In order to obtain additional information on bone density in patients with planned spinal surgery, we measured the HU in vertebral bodies L4, L5 and S1 via a CT scan (as described by Pickhardt et al.) and correlated the results with DXA measurements. The results for L4 and L5 served to validate the approach of Pickhardt et al. [3, 4]. The results for S1 provided novel information.
Patients
We studied all patients admitted to our hospital for spinal surgery between June 2016 and September 2018 and for whom DXA was available. A total of 164 patients (93 females, 71 males) were identified. A total of 50 patients (27 females, 23 males) met inclusion criteria for this retrospective study. All patients were Caucasian. Patients with a preoperative CT scan of the spine were included in the final analysis. Valid assessment of bone quality was only possible when lumbar vertebral bodies 4, 5 and S1 were intact. The maximum interval between CT scan and DXA was 4 weeks. Exclusion criteria were:
Incomplete imaging.
DXA of the radius.
Fracture in L4, L5 or S1.
Previous spinal surgery to L4, L5 or S1.
Severe degenerative changes (see supplement Fig. 5 and Fig. 6).
The cohort was also analyzed by gender, body mass index, age, medication, vitamin D deficiency and underlying diseases.
Radiological assessment
Dual-energy X-ray absorptiometry
According to the study protocol, the bone mineral density (BMD, measured in g/cm2) was assessed for the lumbar spine and proximal femurs using central DXA—employing standard techniques in accordance with the International Society for Clinical Densitometry [5]. A Lunar Prodigy densitometer (GE Healthcare, Madison, USA) was used for the measurements. Osteoporosis was defined as a DXA T-score between − 2.5 and less and osteopenia as a score between − 1.0 and − 2.4. Individuals with T-score higher than − 1.0 were rated as having normal bone density [6].
In clinical practice, individual patients are categorized and treated according to their lowest central T-score [7], as a low BMD at one site implies an increased risk at other sites too. Analogously, in this study we also used the lowest T-score (hip or lumbar spine) for evaluation.
Simple trabecular ROI attenuation technique
All CT scans were carried out with a 16-detector row scanner (Somatom Emotion, Siemens AG Medical Solutions, Germany). The study was restricted to native scans without a contrast medium. The field of view was adapted to the individual anatomy. In every case, the entire lumbar and sacral spine were included in the assessment. For all scans, a bone and soft-tissue kernel was reconstructed with 3-mm-thick slices.
For each patient, CT vertebral body attenuation in a pre-defined region of interest (ROI) was recorded through trabecular bone in the L4, L5 and S1 vertebral bodies in Hounsfield units (HU). There was no initial step of plane angulation. The assessment was performed by placing a single oval over the trabecular bone in the axial view. The correct position in the middle of the vertebral body was double checked in the sagittal plane (see Fig. 1). The measurements were taken by a single rater on a standard PACS work station. The rater was blinded to the DXA results.
Statistics
The statistical analysis was performed with SPSS statistical software, version 24.0 (SPSS, Chicago, IL). p values < 0.05 (2-tailed) were considered statistically significant. Comparison of the two groups was based on descriptive statistics, presented as proportions for categorical variables and means plus standard deviations for continuous variables.
A Chi-squared test was used to examine correlations between two categorical variables. Whenever the expected numbers in a single cell were smaller than 5, Fisher’s exact test was applied to calculate p values.
Logistic regression models were used to examine correlations of metric variables with binary outcomes.
Analysis of variance (ANOVA) was performed to determine whether HU values for normal, osteopenic and osteoporotic conditions or other variables differ significantly between groups. Estimated means are presented, with the corresponding 95% confidence interval and p values. In addition, the receiver operating characteristic (ROC) curve was used to assess areas under the curve (AUC, with 95% confidence interval), as well as optimal cutoff points, and calculate sensitivity and specificity for bone disease. T-scores of − 1.0 and − 2.5 were used to subclassify the bone disease as osteopenia or osteoporosis. ROC was calculated for the DXA T-score.