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Articles

Feasibility of assessing male osteoporosis using MRI IDEAL-IQ sequence of proximal femur in prostate cancer patients

ORCID Icon, ORCID Icon, , , , , & show all
Pages 228-233 | Received 29 Jun 2022, Accepted 09 Aug 2022, Published online: 23 Aug 2022

Figures & data

Figure 1. MR images show PDFF (a) and R2* (b) of proximal femur measured in a 76-year-old man with prostate cancer. ROI is manually traced from the femoral head to the horizontal line of the lower end of the lesser trochanter to calculate R2* value and PDFF. PDFF: proton density fat fraction; ROI: region of interest.

As an actual measurement of R2* and PDFF using MRI IDEAL-IQ sequence, this figure shows the region of interest in the proximal femur of a prostate cancer patient.
Figure 1. MR images show PDFF (a) and R2* (b) of proximal femur measured in a 76-year-old man with prostate cancer. ROI is manually traced from the femoral head to the horizontal line of the lower end of the lesser trochanter to calculate R2* value and PDFF. PDFF: proton density fat fraction; ROI: region of interest.

Table 1. Clinical characteristics of study population.

Figure 2. Spearman’s rank correlation coefficient between BMD (g/cm2), MRI-based R2* value (a) and PDFF (b) in proximal femur. R2* values were significantly correlated with BMD compared with PDFF in prostate cancer patients. BMD: bone mineral density; PDFF: proton density fat fraction.

This figure shows Spearman’s rank correlation coefficient, where R2* values were significantly correlated with BMD compared to PDFF in prostate cancer patients.
Figure 2. Spearman’s rank correlation coefficient between BMD (g/cm2), MRI-based R2* value (a) and PDFF (b) in proximal femur. R2* values were significantly correlated with BMD compared with PDFF in prostate cancer patients. BMD: bone mineral density; PDFF: proton density fat fraction.

Figure 3. AUC of R2* for distinguishing BMD-T score ≤ −2.5 and > −2.5 was estimated to be 0.817, with cut-off values of 50.7 s−1. AUC: area under the curve; BMD: bone mineral density.

This figure shows ROC analysis, and the area under the curve value of R2* for distinguishing BMD-T score ≤ −2.5 and > −2.5 was estimated to be 0.817.
Figure 3. AUC of R2* for distinguishing BMD-T score ≤ −2.5 and > −2.5 was estimated to be 0.817, with cut-off values of 50.7 s−1. AUC: area under the curve; BMD: bone mineral density.