We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Robotically Assisted Lung Transplants Could Soon Become a Reality

By HospiMedica International staff writers
Posted on 12 Apr 2024
Print article
Image: Robotically assisted lung transplants are on the horizon (Photo courtesy of 123RF)
Image: Robotically assisted lung transplants are on the horizon (Photo courtesy of 123RF)

Annually, around 4,600 lung transplants are conducted globally. While robots are frequently utilized in various surgeries, their use in lung transplants has been uncommon. Although robotic assistance has enhanced lung cancer surgeries by making them minimally invasive, lung transplant recipients still undergo more invasive surgical procedures. However, advancements in robotic technology are now being extended into the field of lung transplants.

In February 2023, a team of surgeons at Vall d'Hebron University Hospital (Barcelona, Spain) successfully performed Spain’s first robotically assisted single-lung transplant and followed with a second operation three months later. Both patients exhibited significant improvement during their recovery, requiring only mild pain management, a testament to the less invasive nature of the surgery. The primary aim was to minimize the surgical incision and reduce the need for strong pain medication, which can adversely affect wound healing. Extensive preparatory work was done by the surgical team, including practice on synthetic lungs and large animal models, to refine their technique. They discovered that by deflating the lung and utilizing the natural elasticity of the skin, it was possible to make smaller incisions below the sternum for both removing and inserting the lungs.

Following these successful procedures, the team is collaborating with a medical device company to develop robotic instruments tailored for lung transplantation. Their future objectives include performing a bilateral lung transplant and increasing the number of robotically assisted surgeries to five this year and ten in the next. They are also keen on disseminating this innovative technique to more lung transplant programs. The team believes that less invasive surgery will yield better outcomes for lung transplant patients, although more data are needed to validate this approach. Additionally, further enhancements in robotic technology are required before it can be routinely adopted for lung transplantation.

“Lung transplants are a very tough procedure, from donor selection through the surgery to the postoperative period,” said Albert Jauregui, MD, PhD, who led the surgical team. “Unlike other organs that are all protected inside the body, the lungs are connected to the environment through breathing. It’s one of the most difficult organs to transplant.”

Related Links:
Vall d'Hebron University Hospital

Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Pneumatic Stool
Avante 5-Leg Pneumatic Stool
New
Electric Cast Saw
CC4 System

Print article

Channels

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.