An automated software algorithm for optimizing microwave ablation parameters for treatment of liver tumors.

• Tác giả: Grayson L Baird, Scott A Collins, Celina Hsieh, DaeHee Kim, Hyeonseon Kim, Sabrina Q R Liew, Aaron W P Maxwell, Nathaniel Rex
• Ngôn ngữ: eng
• Ký hiệu phân loại: 616.85880231 Diseases of nervous system and mental disorders
• Thông tin xuất bản: England : International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group , 2025
• Bộ sưu tập: NCBI
• ID: 753702

Tóm tắt

PURPOSE: To evaluate the performance of a software algorithm developed to streamline microwave liver ablation parameter selection and to compare performance of this algorithm to that of experienced interventional radiologists. METHODS: Patients who underwent microwave ablation for treatment of liver tumors were retrospectively identified. An automated software platform was developed to select the top three 'best fit' combinations of microwave ablation power, time, and vendor for a given tumor to achieve a 5 mm minimal ablative margin (MAM). Generalized linear modeling was used to compare the performance of the software algorithm and experienced interventional radiologists with respect to selected ablation parameters and estimates of total ablative volume (TAV) and MAM. Statistical significance was set at RESULTS: 35 patients were identified who underwent single-antenna microwave ablation for liver tumors. Mean estimated TAV was not significantly different between clinical practice (24.96 cm CONCLUSION: Streamlining microwave liver ablation parameter selection using an automated software algorithm reduces variability and improves estimated MAM coverage of liver tumors.