Joe D Baal1, Jonathan S Pai2, William C Chen2, Gabby B Joseph3, Richard J O'Donnell4, Thomas M Link5. 1. Department of Radiology and Biomedical Imaging, 400 Parnassus Ave, A-367, San Francisco, CA 94143; School of Medicine, 400 Parnassus Ave, A-367, San Francisco, CA 94143. 2. School of Medicine, 400 Parnassus Ave, A-367, San Francisco, CA 94143. 3. Department of Radiology and Biomedical Imaging, 400 Parnassus Ave, A-367, San Francisco, CA 94143. 4. Department of Orthopedic Surgery, 400 Parnassus Ave, A-367, San Francisco, CA 94143. 5. Department of Radiology and Biomedical Imaging, 400 Parnassus Ave, A-367, San Francisco, CA 94143. Electronic address: thomas.link@ucsf.edu.
Abstract
PURPOSE: To identify clinical and imaging variables associated with symptomatic recurrence of osteoid osteomas (OOs) treated with computerized tomography (CT)-guided radiofrequency (RF) ablation. MATERIALS AND METHODS: Seventy-one patients treated with the use of CT-guided RF ablation for OO at a single institution from July 2005 to May 2018 were included in this retrospective cohort analysis. Clinical data, including patient age, sex, race, and clinical outcomes, were collected from institutional electronic health records and telephone follow-up. Imaging variables regarding tumor characteristics were gathered from imaging reports and a blinded review of preprocedural images by an experienced musculoskeletal radiologist. Logistic regression, Cox proportional hazards, and Kaplan-Meier analyses were used to identify variables that are significantly associated with symptomatic recurrence, which was defined as pain occurring > 2 weeks after RF ablation. RESULTS: Ten patients (14.1%) experienced symptomatic recurrence at a median of 21.5 months after RF ablation. Univariable logistic regression classified young age (≤ 13 years), female sex, maximum tumor length, and "eccentricity index" (EI) ≥ 3 as predictive variables significantly associated with symptomatic recurrence. Multivariable logistic regression identified female sex and EI ≥ 3 to be significant predictors for symptomatic recurrence. A multivariable proportional hazards Cox regression of time to recurrence revealed EI ≥ 3 to be the only significant predictor of symptomatic recurrence. CONCLUSIONS: Female patients with OOs with an EI ≥ 3 have a greater risk of symptomatic recurrence following RF ablation. The EI is a useful tool to identify OOs with elongated 3-dimensional morphology, which may warrant more extensive ablation.
PURPOSE: To identify clinical and imaging variables associated with symptomatic recurrence of osteoid osteomas (OOs) treated with computerized tomography (CT)-guided radiofrequency (RF) ablation. MATERIALS AND METHODS: Seventy-one patients treated with the use of CT-guided RF ablation for OO at a single institution from July 2005 to May 2018 were included in this retrospective cohort analysis. Clinical data, including patient age, sex, race, and clinical outcomes, were collected from institutional electronic health records and telephone follow-up. Imaging variables regarding tumor characteristics were gathered from imaging reports and a blinded review of preprocedural images by an experienced musculoskeletal radiologist. Logistic regression, Cox proportional hazards, and Kaplan-Meier analyses were used to identify variables that are significantly associated with symptomatic recurrence, which was defined as pain occurring > 2 weeks after RF ablation. RESULTS: Ten patients (14.1%) experienced symptomatic recurrence at a median of 21.5 months after RF ablation. Univariable logistic regression classified young age (≤ 13 years), female sex, maximum tumor length, and "eccentricity index" (EI) ≥ 3 as predictive variables significantly associated with symptomatic recurrence. Multivariable logistic regression identified female sex and EI ≥ 3 to be significant predictors for symptomatic recurrence. A multivariable proportional hazards Cox regression of time to recurrence revealed EI ≥ 3 to be the only significant predictor of symptomatic recurrence. CONCLUSIONS: Female patients with OOs with an EI ≥ 3 have a greater risk of symptomatic recurrence following RF ablation. The EI is a useful tool to identify OOs with elongated 3-dimensional morphology, which may warrant more extensive ablation.
Authors: Antonio Izzo; Luigi Zugaro; Eva Fascetti; Federico Bruno; Carmine Zoccali; Francesco Arrigoni Journal: J Clin Med Date: 2021-12-07 Impact factor: 4.241