PURPOSE: To model the effects of external beam irradiation on the developing flat bones of pediatric patients undergoing radiation therapy (RT) for tumors involving the musculoskeletal system. METHODS AND MATERIALS: Patients with image-guided RT plans including areas adjacent to facial or pelvic flat bones underwent retrospective contouring of nontumor involved flat bones ipsilateral and contralateral to the treatment side. Radiation dose-volume information and bone volume data (initial and the most recent follow-up) were analyzed in 15 paired flat bones from 10 patients (ages 1.0-17.0 years). The models to predict bone growth after completion of RT (v(post)) were based on initial bone volume (v(pre)), the patient's age, time to follow-up (t), and the dose-volume parameter (v(Int35+)). RESULTS: We developed a dose effects model as follows: Log (v(post) / v(pre)) = beta(time)t + beta(age group)t + beta(dose)t v(Int35). The dose-volume parameter v(Int35) predicted significantly for alterations in growth in younger patients, but not for older patients. The predictability of the fitted model for relative change in bone growth improved in the younger age group with the addition of the dose-volume term v(Int35) (correlation coefficient of r = 0.5510 to r = 0.6760 with the addition v(Int35)). CONCLUSIONS: Our model accurately predicted flat bone growth and is notable for the inclusion of radiation dose-volume information, which is now available in the image-guided RT era. Further refinement of this model in a prospective patient population is underway.
PURPOSE: To model the effects of external beam irradiation on the developing flat bones of pediatric patients undergoing radiation therapy (RT) for tumors involving the musculoskeletal system. METHODS AND MATERIALS: Patients with image-guided RT plans including areas adjacent to facial or pelvic flat bones underwent retrospective contouring of nontumor involved flat bones ipsilateral and contralateral to the treatment side. Radiation dose-volume information and bone volume data (initial and the most recent follow-up) were analyzed in 15 paired flat bones from 10 patients (ages 1.0-17.0 years). The models to predict bone growth after completion of RT (v(post)) were based on initial bone volume (v(pre)), the patient's age, time to follow-up (t), and the dose-volume parameter (v(Int35+)). RESULTS: We developed a dose effects model as follows: Log (v(post) / v(pre)) = beta(time)t + beta(age group)t + beta(dose)t v(Int35). The dose-volume parameter v(Int35) predicted significantly for alterations in growth in younger patients, but not for older patients. The predictability of the fitted model for relative change in bone growth improved in the younger age group with the addition of the dose-volume term v(Int35) (correlation coefficient of r = 0.5510 to r = 0.6760 with the addition v(Int35)). CONCLUSIONS: Our model accurately predicted flat bone growth and is notable for the inclusion of radiation dose-volume information, which is now available in the image-guided RT era. Further refinement of this model in a prospective patient population is underway.
Authors: Matthew J Krasin; Kristin M Wiese; Sheri L Spunt; Chia-Ho Hua; Najat Daw; Fariba Navid; Andrew M Davidoff; Lisa McGregor; Thomas E Merchant; Larry E Kun; Lola McCrarey; Kelly A Hoth; Xiaowei Yan; Xiaoping Xiong Journal: Int J Radiat Oncol Biol Phys Date: 2010-11-17 Impact factor: 7.038
Authors: Chiaho Hua; Kelly A Hoth; Shengjie Wu; Larry E Kun; Monika L Metzger; Sheri L Spunt; Xiaoping Xiong; Mathew J Krasin Journal: Int J Radiat Oncol Biol Phys Date: 2010-01-07 Impact factor: 7.038
Authors: Matthew J Krasin; Andrew M Davidoff; Xiaoping Xiong; Shengjie Wu; Chia-Ho Hua; Fariba Navid; Carlos Rodriguez-Galindo; Bhaskar N Rao; Kelly A Hoth; Michael D Neel; Thomas E Merchant; Larry E Kun; Sheri L Spunt Journal: Int J Radiat Oncol Biol Phys Date: 2009-07-20 Impact factor: 7.038
Authors: John T Lucas; M Beth McCarville; David A Cooper; Mikhail Doubrovin; Daniel Wakefield; Teresa Santiago; Yimei Li; Xingyu Li; Matthew Krasin; Victor Santana; Wayne Furman; Andrew M Davidoff Journal: Int J Radiat Oncol Biol Phys Date: 2018-11-26 Impact factor: 7.038