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

Download Mobile App

Innovative Technique for Distinguishing Tumor from Normal Tissue to Improve Surgical Resections

By HospiMedica International staff writers
Posted on 17 Oct 2023
Print article
Image: The visual and quantitative technique has been tested using specimens from multiple cancer types (Photo courtesy of Mass General Brigham)
Image: The visual and quantitative technique has been tested using specimens from multiple cancer types (Photo courtesy of Mass General Brigham)

Taking out a tumor from a patient while leaving healthy tissue untouched is a delicate operation, often dependent on the surgeon's eyes and hands to guide the scalpel. Several technologies like fluorescence imaging and advanced microscopy have been explored to better visualize tumors during surgery. However, these methods haven't gained widespread use and are generally applicable only to certain kinds or subtypes of cancer. Fluorescence imaging involves using dyes to highlight cancer-specific molecules, but traditional imaging methods can be unreliable in identifying the boundaries between tumors and healthy tissue. This is due to the varying expression of these molecules both within and among different tumor types. Now, a new visualization tool combines high-speed cameras and fluorescent injection to differentiate tumor tissue from normal tissue across cancer types during resection surgery.

The new imaging technology, known as fluorescence lifetime (FLT) imaging, was developed by a team led by investigators at Mass General Brigham (Somerville, MA, USA). Instead of solely depending on dyes to target cancerous cells, the new method employs high-speed cameras to observe changes in the property of light emitted by the tissue. Prior studies in animal models had shown that when mice with tumors were injected with a dye called indocyanine green (ICG), the tumor tissue displayed a longer fluorescence lifetime compared to the surrounding healthy tissue. Capitalizing on this discovery, the team began to test this method on human samples, specifically those from patients about to undergo liver surgery who had been given an ICG injection at least one day prior.

Expanding on this initial work, the researchers partnered with multiple institutions to assess tissue samples from over 60 patients, suffering from various types of cancer including liver, brain, tongue, skin, bone, and soft tissue. They discovered that the FLT shift was consistent at the cellular level across these different types of tumors. Moreover, the method could also differentiate between benign and cancerous lymph nodes. It achieved an impressive accuracy rate of over 97% in distinguishing tumor tissue from healthy tissue. It's worth noting that while ICG has received FDA approval for other medical uses, it is not yet approved for clinical use as a tumor marking agent. The researchers are planning a larger clinical trial to further investigate the safety and effectiveness of using FLT imaging with ICG in tumor identification during surgical procedures.

“This technology has taken us to the brink of a revolution in solid tumor surgery,” said Mark Varvares, MD, chief of Otolaryngology–Head and Neck Surgery at Mass Eye and Ear. “By using the advanced imaging techniques combined with the dye, surgeons in the near future will have the ability to more completely remove all malignant cells during tumor surgery while at the same time, with confidence, spare normal tissue, enhancing postoperative function and in some cases, the patient’s appearance.”

Related Links:
Mass General Brigham 

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Silver Member
Compact 14-Day Uninterrupted Holter ECG
Hydrogen Peroxide Sterilizer

Print article


Critical Care

view channel
Image: The AI model uses data from patients\' electronic health records to predict their chances of surviving CRRT (Photo courtesy of 123RF)

AI Model Accurately Predicts Continuous Renal Replacement Therapy Survival

Continuous renal replacement therapy (CRRT) is a type of dialysis used for severely ill patients who are unable to undergo regular hemodialysis. Although CRRT has been in use for many decades, there is... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... 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: POCT offers cost-effective, accessible, and immediate diagnostic solutions (Photo courtesy of Flinders University)

POCT for Infectious Diseases Delivers Laboratory Equivalent Pathology Results

On-site pathology tests for infectious diseases in rural and remote locations can achieve the same level of reliability and accuracy as those conducted in hospital laboratories, a recent study suggests.... Read more


view channel
Image: The finalists have been announced for the IHF Awards 2024 (Photo courtesy of IHF)

International Hospital Federation Awards 2024 Finalists Announced

The International Hospital Federation (IHF; Geneva, Switzerland) has announced the finalists of the IHF Awards 2024 after the judges completed scoring entries in all 7 Award categories. The IHF Awards... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.