Irreversible electroporation (IRE) is a new, non-thermal image-guided tumour ablation technique. The repeated application of high-voltage electrical pulses causes pores to form in the cell membrane, so that cells lose their homeostatic properties, and die. The advantage of IRE over other local ablation techniques is that IRE selectively destroys cells, whilst the surrounding extracellular matrix structures remain intact. Therefore, the anatomic framework that gives vulnerable structures such as bile ducts, blood vessels, ureters and nerves their shape and strength is preserved during IRE, which allows for safe ablation of tumours near these vulnerable structures. Both in the Netherlands and worldwide, various clinical studies are being run on the safety and efficacy of IRE for centrally located hepatic and pancreatic tumours, which are unsuitable for the current local therapies (surgical resection, irradiation or thermal ablation) due to their anatomic location. Although the long-term results are as yet unknown, the future of IRE appears promising. IRE may prove a valuable tool to add in the multidisciplinary treatment of cancer.
Download full-text PDF |
Source |
---|
Zhonghua Nei Ke Za Zhi
February 2025
Department of Ultrasound Medicine, China-Japan Friendship Hospital, Beijing100029, China Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing100730, China National Respiratory Medicine Center, National Key Laboratory of Respiratory and Comorbidity, National Respiratory Medical Center National Clinical Research Center, Respiratory Diseases Respiratory Research Institute of Chinese Academy of Medical Sciences, Respiratory Center of China-Japan Friendship Hospital, Beijing100029, China.
Medicina (Kaunas)
December 2024
Department of Medical Oncology, Sanko University Medical Faculty Gaziantep Türkiye, Gaziantep 27090, Türkiye.
: Among breast cancer molecular types, HER2 positive and triple negative (TN) subtypes have the highest likelihood of pathological complete response (pCR), which is a surrogate marker for reduced recurrence and improved patient survival after neoadjuvant systemic treatment (NST). Preoperative pathological identification of these exceptional responders is a new era. Therefore, we aimed to determine the accuracy of trucut biopsy in identifying the exceptional responders in selected molecular subtypes of breast cancer patients.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Radiation Oncology, Miami Cancer Institute, Miami, FL 33176, USA.
: Over the past decade, significant advances have been made in image-guided radiotherapy (RT) particularly with the introduction of magnetic resonance (MR)-guided radiotherapy (MRgRT). However, the optimal clinical applications of MRgRT are still evolving. The intent of this analysis was to describe our institutional MRgRT utilization patterns and evolution therein, specifically as an early adopter within a center endowed with multiple other technology platforms.
View Article and Find Full Text PDFRadiother Oncol
January 2025
Department of Radiation Oncology, Stanford University, Stanford, CA, United States. Electronic address:
Background And Purpose: Radiation therapy (RT) is highly effective, but its success depends on accurate, manual target delineation, which is time-consuming, labor-intensive, and prone to variability. Despite AI advancements in auto-contouring normal tissues, accurate RT target volume delineation remains challenging. This study presents Radformer, a novel visual language model that integrates text-rich clinical data with medical imaging for accurate automated RT target volume delineation.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Machine Learning Department, H. Lee Moffit Cancer Center and Research Institute, Tampa, FL.
Purpose: Adaptive radiotherapy accounts for interfractional anatomic changes. We hypothesize that changes in the gross tumor volumes identified during daily scans could be analyzed using delta-radiomics to predict disease progression events. We evaluated whether an auxiliary data set could improve prediction performance.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!