BACKGROUND: The aim of this study was to evaluate the safety and effectiveness of robot-assisted thymectomy (RAT) in large anterior mediastinal tumors (AMTs) (size ≥6 cm) compared with video-assisted thymectomy (VAT) and open surgery.
The Thoracic and cardiovascular surgeon
Mar 25, 2015
BACKGROUND: Thymectomy is an essential component in the treatment of myasthenia gravis (MG) and the best treatment for localized thymoma. Minimally invasive thymectomy has advanced to include robotic-assisted techniques. The acceptance of this approa...
The international journal of medical robotics + computer assisted surgery : MRCAS
Oct 1, 2022
BACKGROUND: The aim of this study was to evaluate the long-term results of robot-assisted (RATS) thymectomy in the treatment of large thymomas, defined as larger than 5 cm.
Removal of adipose tissues located behind the left innominate vein and at the aortocaval groove is technically complex for minimally invasive extended thymectomy. The study describes the technical tips of the subxiphoid robotic procedure to remove th...
OBJECTIVE: To examine whether the machine-learning approach using 18-fludeoxyglucose positron emission tomography (F-FDG-PET)-based radiomic and deep-learning features is useful for predicting the pathological risk subtypes of thymic epithelial tumor...
Multimedia manual of cardiothoracic surgery : MMCTS
Oct 7, 2021
Robotic thymectomy is the most innovative surgical approach for treating disease of the anterior mediastinum. Robotic surgery offers low postoperative morbidity, faster recovery, shorter hospital stay, and better cosmetic results, without compromisin...
OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epithelial tumor (TET) stage (TNM classification), histology (WHO classification) and the presence of myasthenia gravis (MG).
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Aug 1, 2020
OBJECTIVES: Robotic thymectomy via the subxiphoid approach (RTX) is a recently introduced surgical approach. This study aimed to report on the surgical technique and early outcomes of RTX in our institute.
PURPOSE: To evaluate the performance of machine-learning-based computed tomography (CT) radiomic analysis to differentiate high-risk thymic epithelial tumours (TETs) from low-risk TETs according to the WHO classification.
BACKGROUND: Minimally invasive thymectomy (MIT) has demonstrated improved short-term outcomes compared with open thymectomy (OT). Although adoption of MIT for thymoma is increasing, oncologic outcomes have not been well characterized.