J Cancer 2015; 6(1):66-69. doi:10.7150/jca.10288
Short Research Communication
Spatial and Temporal Fracture Pattern in Breast and Gynecologic Cancer Survivors
1. Department of Therapeutic Radiology, University of Minnesota, Minneapolis;
2. Masonic Cancer Center, University of Minnesota, Minneapolis;
3. Department of Obstetrics and Gynecology, University of Minnesota, Minneapolis;
4. Department of Medicine, University of Minnesota, Minneapolis.
Hui SK, Arentsen L, Wilcox A, Shanley R, Yee D, Ghebre R. Spatial and Temporal Fracture Pattern in Breast and Gynecologic Cancer Survivors. J Cancer 2015; 6(1):66-69. doi:10.7150/jca.10288. Available from https://www.jcancer.org/v06p0066.htm
Objective(s): To assess skeletal wide fracture location and time of fracture after cancer treatment
Study Design: One hundred thirty-nine women diagnosed with breast or gynecologic cancer between 2003 and 2012 that subsequently had a radiologic diagnosis of fracture were identified retrospectively using electronic medical records. Results were compared with skeletal fracture pattern previously reported for a general population.
Results: Skeletal fractures in cancer patients occur throughout the entire skeleton similar to general population. The most common sites were vertebrae (16%), feet and toes (15%), ribs (12%), hands and fingers (10%), and pelvis (8%). Fracture incidence was observed starting within the first year of survivorship, and continued to after five years. The median time from cancer diagnosis to fracture varied by age (p<0.01), from a high of 3.2 years for ages 50-59 to a low of 1.2 years for patients older than 70.
Conclusion: The pattern of skeletal fracture is similar between cancer survivor and general population. Contrary to general assumption, survivors can experience skeletal fracture early after cancer treatment, especially at an older age. Thus, cancer survivorship care should include assessment of early time points with improved management of cancer treatment related bone injury.
Keywords: Bone loss, chemotherapy, radiation, quantitative computed tomography.