A new study found that approximately one-third of men with prostate cancer were diagnosed with at least one vertebral fracture prior to the initiation of androgen deprivation therapy (ADT).
Based on findings from a new study, researchers are advocating for systematic risk assessment of vertebral fractures in all patients who about to commence with androgen deprivation therapy (ADT) for prostate cancer (PCa).
In a cross-sectional study of 115 men (mean age of 73.3 years) with PCa, researchers assessed 10-year fracture risk, bone mineral density (via dual-energy X-ray absorptiometry) and possible vertebral fractures (via lateral X-rays of the thoracic and lumbar spine) prior to patients beginning androgen deprivation therapy (ADT). The study authors noted that 90 men (78.3 percent) in the cohort had localized PCa and 25 men (21.7 percent) had advanced PCa.
Researchers found low 10-year risks for hip fracture (1.7 percent) and osteoporotic fracture (4.4 percent), and a low rate of osteoporosis (4.3 percent as per bone mineral density testing), according to the study, which was recently published in the Journal of Bone Oncology. However, the authors also found that 32.2 percent of the study cohort had at least one vertebral fracture and spinal X-rays revealed osteoporosis and/or a vertebral fracture in 33.9 percent of the study participants.
“Vertebral fragility fractures are often asymptomatic and overlooked but are known to decrease quality of life, and can also affect mortality,” wrote study co-author Caroline E. Wyers, PhD, who is affiliated with the Department of Internal Medicine at the VieCuri Medical Centre in Venlo, the Netherlands, and colleagues. “These findings underline the importance of systematic imaging of the spine to detect prevalent (vertebral fractures) in PCa patients at initiation of ADT, improving identification of true incident (vertebral fractures) during ADT.”
(Editor’s note: For related content, see “Key Highlights from the Annual Symposium of the American Society of Spine Radiology” and “Could an Emerging PSMA/PET Imaging Agent Improve the Detection of Recurrent Prostate Cancer?”)
Wyers and colleagues noted that the most common locations for vertebral fractures were in the mid-thoracic (Th7-Th8) and thoracolumbar (Th12) areas of the spine. The study authors added that the majority of moderate and severe vertebral fractures occurred among men who had normal bone mineral density as well as study participants who had osteopenia.
In regard to study limitations, the study authors acknowledged that the cross-sectional study did not allow for assessment of direct correlations between risk factors and incident fractures. Wyers and colleagues noted the potential of selection bias as multiple factors, including physician and patient preferences, contribute to a decision to utilize ADT treatment. The researchers also pointed out that the predominantly Caucasian study cohort may prohibit broad extrapolation of the study findings.
Meta-Analysis Shows No Difference Between bpMRI and mpMRI in Ruling Out csPCa
March 6th 2025In an 18-study meta-analysis involving over 4,600 patients, researchers found that bpMRI and mpMRI had equivalent pooled negative predictive value (NPV) of 92 percent for clinically significant prostate cancer (csPCa).
Can Deep Learning Ultra-Fast bpMRI Have an Impact in Prostate Cancer Imaging?
March 3rd 2025A deep learning-enhanced ultra-fast bpMRI protocol offered similar sensitivity for csPCa as mpMRI with an 80 percent reduction in scan time, according to research findings presented at the European Congress of Radiology (ECR) conference.
Emerging AI Software for Prostate MRI Offers 95 Percent Sensitivity for csPCa
February 28th 2025In a multicenter study involving over 1,000 patients, a deep learning software offered comparable sensitivity and specificity for Gleason grade group > 2 tumors in comparison to radiologist interpretation.
Can CT-Based AI Help Predict Renal Function Decline After Radioligand Therapy for mCRPC?
February 25th 2025In patients who had at least four cycles of 177Lu-PSMA-I&T for mCRPC, new research shows that a 10 percent or greater decrease in total kidney volume on CT at six months has a 90 percent AUC for predicting estimated glomerular filtration rates (eGFRs) of 30 percent or greater at one year.