Bin Gui, Jayavignesh Sekar, Margaret Locke, Shyamali Saha, Mitchell Tulchinsky, Brianna Jones, Nagashree Seetharamu, Maged Ghaly
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引用次数: 0
Abstract
Purpose/objectives: Recurrent and metastatic non-anaplastic thyroid cancer has traditionally been considered relatively radioresistant. We evaluated whether anatomic site or histology risk group better predicts local control (LC) following stereotactic radiation therapy (SBRT/SRS).
Materials/methods: We retrospectively reviewed 32 patients with 66 treated lesions (42 skeletal, 24 non-skeletal) treated between 2012 and 2025. Histology was dichotomized into low-risk (papillary, follicular, medullary, Hürthle cell; n=61) and high-risk (poorly differentiated and squamous cell carcinoma; n=5). BED10 was calculated using α/β = 10 Gy. LC was defined per RECIST 1.1. Kaplan-Meier and log-rank tests were used. Intra-patient correlation was addressed via generalized estimating equations (GEE) and Cox shared frailty models. A multivariable GEE model included histology risk, site, BED10, PTV volume, prior surgery, and age.
Results: Median follow-up was 15.0 months. Six local failures occurred (crude LC 90.9%); 1- and 2-year LC were 96.5% and 87.1%. Histology risk was the dominant determinant: low-risk histology achieved 95.1% crude LC versus 40.0% for high-risk (log-rank p=0.002). In multivariable GEE analysis, low-risk histology was independently associated with LC (OR 158.0, 95% CI 1.72-14,479.7; p=0.028), whereas skeletal site was not (OR 1.07, 95% CI 0.02-51.8; p=0.974). BED10 was not associated with LC after adjustment (p=0.752). Skeletal and non-skeletal LC were similar after histology stratification (95.0% vs 95.2% among low-risk). Treatment was well tolerated; no Grade ≥3 radiation toxicity, myelopathy, or fractures occurred.
Conclusion: In stereotactic radiation for metastatic non-anaplastic thyroid cancer, histology risk grouping-not anatomic site or dose escalation-is the dominant predictor of local control. These findings support histology-based risk stratification for SRT patient selection.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.