Thoracic Surgery

Differences Between Attending and Trainee Surgeon Performance Using Objective Performance Indicators During Robot-Assisted Lobectomy.

OBJECTIVE: Existing approaches for assessing surgical performance are subjective and prone to bias. ...

Short- and long-term outcomes of robot-assisted versus thoracoscopy-assisted minimally invasive esophagectomy.

Comparison of Global Evaluative Assessment of Robotic Surgery with objective performance indicators for the assessment of skill during robotic-assisted thoracic surgery.

BACKGROUND: The Global Evaluative Assessment of Robotic Skills is a popular but ultimately subjectiv...

Comparison of Clinical Efficacy Between Da Vinci Robot-Assisted Ivor Lewis Esophagectomy and McKeown Esophagectomy for Middle and Lower Thoracic Esophageal Cancer: A Multicenter Propensity Score-Matched Study.

BACKGROUND: We compared the perioperative efficacy and safety of da Vinci robot-assisted Ivor Lewis ...

Starting a robotic thoracic surgery program: From wedge resection to sleeve lobectomy in six months. Initial conclusions.

INTRODUCTION: Robot-assisted thoracic surgery (RATS) is a rapidly expanding technique. In our study,...

The learning curve on robot-assisted transaxillary thyroidectomy performed by a single endocrine surgeon in a third-level institution in Europe: a cumulative sum (CUSUM) analysis.

Robot-assisted transaxillary thyroidectomy is widely performed in Asian countries, although it is st...

Lung-PNet: An Automated Deep Learning Model for the Diagnosis of Invasive Adenocarcinoma in Pure Ground-Glass Nodules on Chest CT.

Pure ground-glass nodules (pGGNs) on chest CT representing invasive adenocarcinoma (IAC) warrant lo...

Left recurrent nerve lymph node dissection in robotic esophagectomy for esophageal cancer without esophageal traction.

BACKGROUND: Because the robotic arm is located on the dorsal side of the patient, when the esophagus...

Stapler port position determination using 3-dimensional virtual simulation software in robot-assisted thoracic surgery.

BACKGROUND: In robot-assisted thoracic surgery (RATS) lobectomy using a robotic stapler, stapling is...

Short-term outcomes of robot-assisted versus video-assisted thoracoscopic surgery for non-small cell lung cancer patients with neoadjuvant immunochemotherapy: a single-center retrospective study.

BACKGROUND: Neoadjuvant immunochemotherapy has been increasingly applied to treat non-small cell lun...

Robot-assisted thoracoscopic right upper lobectomy with displaced B and absence of minor fissure: a case report.

INTRODUCTION: B downward-shifting is a rare bronchial anomaly characterized by abnormal pulmonary ar...

ASO Author Reflections: Immediate Postoperative High Syndecan-1 is an Early Biomarker for Morbidity After Robot-Assisted Esophagectomy.

Immediate Postoperative High Syndecan-1 is Associated with Short-Term Morbidity and Mortality After Robot-Assisted Esophagectomy: A Prospective Observational Study.

BACKGROUND: Disruption of the endothelial glycocalyx (EG) is associated with a poor prognosis in var...

Short-term outcomes of robot-assisted versus thoracoscopic-assisted Mckeown esophagectomy.

BACKGROUND: Thoracoscopic-assisted and robot-assisted Mckeown esophagectomy are currently two common...

Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.

INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insuffic...

[Video-assisted Double-lumen Tubes in Robot-assisted Oesophageal Surgery].

Robot-assisted esophagectomies are still considered high-risk procedures requiring complex surgical ...

Learning Curve of Robot-Assisted Lymph Node Dissection of the Left Recurrent Laryngeal Nerve: A Retrospective Study of 417 Patients.

OBJECTIVE: Left recurrent laryngeal nerve (no.106recL) lymph node dissection is a challenging proced...

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy.

OBJECTIVE: To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frame...

Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.

BACKGROUND AND OBJECTIVES: Bedside chest radiographs (CXRs) are challenging to interpret but importa...

Robot-assisted thoracic surgery for stages IIB-IVA non-small cell lung cancer: retrospective study of feasibility and outcome.

Robot-assisted thoracic surgery (RATS) for higher stages non-small cell lung carcinoma (NSCLC) remai...

[Robotic esophageal surgery].

Robot-assisted minimally invasive esophagectomy (RAMIE) is increasingly becoming established as a st...