Thoracic Surgery

Learning curve for robot-assisted Ivor Lewis esophagectomy.

This study aimed to demonstrate the learning curve of robot-assisted minimally invasive esophagectomy (RAMIE). A retrospective analysis of the first 124 consecutive patients who underwent RAMIE with intrathoracic anastomosis (Ivor Lewis) by a single surgeon between May 2015 and August 2020 was performed. An risk-adjusted cumulative sum (RA-CUSUM) analysis was applied to generate a learning curve o...

[Deep Learning-based Risk Prediction Model for Postoperative Healthcare-associated Infections].

Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoperative vital signs for postoperative healthcare-associated infection(HAI)based on deep learning. Methods We carried out a retrospective study based on two randomized controlled trials(NCT02715076,ChiCTR-IPR-17011099).The patients who underwent elective radical resection of advanced digestive system t...

[Ⅰ. Robot-Assisted Transmediastinal Esophagectomy for Esophageal Cancer].

Comparison between robot-assisted thoracoscopic surgery and video-assisted thoracoscopic surgery for mediastinal and hilar lymph node dissection in lung cancer surgery.

OBJECTIVES: Lymph node dissection (LND) with robot-assisted thoracoscopic surgery (RATS) in lung cancer surgery has not been fully evaluated. The aim ...

Long-term and short-term outcomes of robot- versus video-assisted anatomic lung resection in lung cancer: a systematic review and meta-analysis.

OBJECTIVES: Minimally invasive thoracic surgery has evolved with the introduction of robotic platforms. This study aimed to compare the long-term and ...

[Robot-assisted thoracic surgery-Areas of application and limitations].

The proportion of robot-assisted thoracic surgery (RATS) is continuously increasing. The main areas of clinical application are anatomical lung resect...

Robotic transhiatal esophagectomy.

Horgan et al. described the first robotic-assisted transhiatal esophagectomy in 2003. Although there is debate regarding the oncologic appropriateness...

A structured training pathway to implement robot-assisted minimally invasive esophagectomy: the learning curve results from a high-volume center.

To ensure safe implementation of robot-assisted minimally invasive esophagectomy (RAMIE), the learning process should be optimized. This study aimed t...

Robot-assisted cervical esophagectomy: first clinical experiences and review of the literature.

Pulmonary complications, and especially pneumonia, remain one of the most common complications after esophagectomy for esophageal cancer. These compli...

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagectomy (RAMIE) and open transthoracic esophagectomy (O...

Technical details of the hand-sewn and circular-stapled anastomosis in robot-assisted minimally invasive esophagectomy.

The circular mechanical and hand-sewn intrathoracic anastomosis are most often used in robot-assisted minimally invasive esophagectomy (RAMIE). The ai...

Robot-assisted minimally invasive esophagectomy (RAMIE): tips and tricks from the bedside assistant view-expert experiences.

The role of bedside assistants in robot-assisted minimally invasive esophagectomy is important. It includes knowledge of the procedure, knowledge of t...

[Robotics in thoracic surgery].

The number of interventions using robot-assisted thoracic surgery (RATS) is increasing in Germany, following the previous international development. R...

Comparative outcomes of robot-assisted minimally invasive versus open esophagectomy in patients with esophageal squamous cell carcinoma: a propensity score-weighted analysis.

Robots are increasingly used in minimally invasive surgery. We evaluated the clinical benefits of robot-assisted minimally invasive esophagectomy (RAM...

Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.

The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in a wide variety of fields, medicine not being the e...

Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care: Beyond Image Interpretation.

Artificial intelligence (AI) is a broad field of computational science that includes many subsets. Today the most widely used subset in medical imagin...

Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.

Artificial intelligence (AI) algorithms are dependent on a high amount of robust data and the application of appropriate computational power and softw...

Commentary: Robotic Techniques in Cardiac and Thoracic Surgery (Innovations, May/June 2020).

This is a response to the papers in the May/June issue of focused on robotic techniques in cardiac and thoracic surgery. Successful robotic surgery r...

Introduction of thoracoscopic surgery for congenital pulmonary airway malformation in infants: review of 13 consecutive surgical cases.

BACKGROUND: Although complete video-assisted thoracic surgery (C-VATS) has been demonstrated to have several advantages compared with conventional tho...

Glasses-free 3D versus 2D video-assisted thoracoscopic thymectomy: a single-center short-term comparative study.

BACKGROUND: Thymectomy is widely used to for the treatment of thymomas, thymic cysts, thymic adenocarcinomas, and other thymic diseases. The developme...