Surgical Technique and Implementation of Total Minimally Invasive (Laparo-Thoracoscopic) Ivor Lewis Esophagectomy for Cancer.

Background/objectives: Esophagectomy represents a major oncological operation due to the surgical involvement of both the abdominal and thoracic cavities. The minimally invasive technique has been developed to minimize the operative impact on patients undergoing esophageal resections, often presenting with nutritional deterioration and poor functional reserves.

Methods: The present article provides an illustrative description of the total minimally invasive (laparo-thoracoscopic) Ivor Lewis esophagectomy for cancer integrated with complementary components of perioperative clinical management.

The Near-Infrared Visualization and Preemptive Ligation of the Thoracic Duct Effectively Reduce the Chyle Leak Incidence After Minimally Invasive Esophagectomy.

Objective: The aim of the present study is to assess the effectiveness of indocyanine-green (ICG)-guided lymphography (ICG-Lg) in reducing the incidence of chyle leak (CL) after esophagectomy.

Background: Chylothorax may severely impact esophageal cancer surgery, and the pre-emptive ligation of the thoracic duct (TD) is the most widespread control of this complication. Intraoperative ICG-Lg has been recently embedded in minimally invasive esophagectomy to facilitate TD detection and pre-emptive ligation.

Short- and Long-Term Advantages of Laparoscopic Gastrectomy for Elderly Patients with Locally Advanced Cancer.

Minimally invasive surgery has provided several clinical advantages in locally advanced gastric cancer (LAGC) care, although a consensus on its application criteria remains unclear. Surgery remains a careful choice in elderly patients, who frequently present with frailty, comorbidities, and other disabling diseases. This study aims to assess the possible advantages of laparoscopic gastric resections in elderly patients presenting with LAGC.

Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition-results from the EX-MACHYNA trial.

Background: Hyperspectral imaging (HSI), combined with machine learning, can help to identify characteristic tissue signatures enabling automatic tissue recognition during surgery. This study aims to develop the first HSI-based automatic abdominal tissue recognition with human data in a prospective bi-center setting.

Methods: Data were collected from patients undergoing elective open abdominal surgery at two international tertiary referral hospitals from September 2020 to June 2021.

Implementing protocol-based relaparoscopy for severe complications in laparoscopic colorectal surgery.

Background: Although laparoscopy has demonstrated growing applications for either primary colorectal resections or reoperations, no standardized criteria for implementing laparoscopy in revisional surgery have been reported. This study analyzes a single-center series of major complications after laparoscopic colorectal surgery, undergoing laparoscopic (LR), or open reoperations in compliance with a hemodynamics-based institutional management.

Methods: This study retrospectively analyzes a series of consecutive patients who primarily underwent either laparoscopic left colectomy or low anterior resection in a tertiary referral center between 2016 and 2021.