Lung RFA's midterm results beat expectations

Article

More than 90% of patients undergoing radiofrequency ablation for primary and secondary lung cancer could outlive their treatment for two years or longer, provided they don't succumb to other causes. Researchers from Italy reported these findings at the Society of Interventional Radiology meeting in April.

More than 90% of patients undergoing radiofrequency ablation for primary and secondary lung cancer could outlive their treatment for two years or longer, provided they don't succumb to other causes. Researchers from Italy reported these findings at the Society of Interventional Radiology meeting in April.

Dr. Riccardo Lencioni and colleagues at the University of Pisa treated 186 nonoperable tumors in 106 patients enrolled in the multicenter Radiofrequency Ablation of Pulmonary Tumors Response Evaluation (RAPTURE) trial. The study included 33 patients with non-small cell lung cancer, 53 with colorectal cancer metastases, and 20 with metastases from other types of malignancy.

RFA yielded high local tumor control rates and cancer-specific survival outcomes for patients with NSCLC or CRC metastases. CT follow-up three months after the procedure confirmed ablation's effectiveness rate at 93%. Cancer-specific survival rates for NSCLC and CRC metastases were 91% and 88% at one year and 91% and 72% at two years, respectively.

Recent Videos
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.