Treatment Planning and Fracture Prediction in Patients with Skeletal Metastasis with CT-Based Rigidity Analysis

Ara Nazarian(Beth Israel Deaconess Medical Center), Vahid Entezari(Beth Israel Deaconess Medical Center), David Zurakowski(Boston Children's Hospital), Nathan Calderon(Baylor College of Medicine), John A. Hipp(Baylor College of Medicine), Juan C. Villa‐Camacho(Beth Israel Deaconess Medical Center), Patrick P. Lin(The University of Texas MD Anderson Cancer Center), Felix H. Cheung(Marshall University), Albert J. Aboulafia(Sinai Hospital), Robert Turcotte(McGill University Health Centre), Megan E. Anderson(Beth Israel Deaconess Medical Center), Mark C. Gebhardt(Beth Israel Deaconess Medical Center), Edward Y. Cheng(University of Minnesota Medical Center), Richard M. Terek(Rhode Island Hospital), Michael J. Yaszemski(Mayo Clinic), Timothy A. Damron(SUNY Upstate Medical University), Brian D. Snyder(Boston Children's Hospital)
Clinical Cancer Research
February 27, 2015
Cited by 54Open Access
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Abstract

PURPOSE: Pathologic fractures could be prevented if reliable methods of fracture risk assessment were available. A multicenter prospective study was conducted to identify significant predictors of physicians' treatment plan for skeletal metastasis based on clinical fracture risk assessments and the proposed CT-based Rigidity Analysis (CTRA). EXPERIMENTAL DESIGN: Orthopedic oncologists selected a treatment plan for 124 patients with 149 metastatic lesions based on the Mirels method. Then, CTRA was performed, and the results were provided to the physicians, who were asked to reassess their treatment plan. The pre- and post-CTRA treatment plans were compared to identify cases in which the treatment plan was changed based on the CTRA report. Patients were followed for a 4-month period to establish the incidence of pathologic fractures. RESULTS: Pain, lesion type, and lesion size were significant predictors of the pre-CTRA plan. After providing the CTRA results, physicians changed their plan for 36 patients. CTRA results, pain, and primary source of metastasis were significant predictors of the post-CTRA plan. Follow-up of patients who did not undergo fixation resulted in 7 fractures; CTRA predicted these fractures with 100% sensitivity and 90% specificity, whereas the Mirels method was 71% sensitive and 50% specific. CONCLUSIONS: Lesion type and size and pain level influenced the physicians' plans for the management of metastatic lesions. Physicians' treatment plans and fracture risk predictions were significantly influenced by the availability of CTRA results. Due to its high sensitivity and specificity, CTRA could potentially be used as a screening method for pathologic fractures.


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