New Technique Could Spare Cancer Patients from Further Surgery

EU-funded researchers have developed a technique that could allow surgeons to distinguish between cancerous and healthy tissue in real time as they carry out operations. The novel technique, which is described in an article in the journal Angewandte Chemie International Edition, could spare cancer patients from having to undergo a second round of surgery to remove tumour tissue that was missed during the first operation.

EU support for the work came from the DESI_JEDI-IMAGING (Development of mass spectrometric techniques for three-dimensional imaging and in-vivo analysis of biological tissues) project, which received a EUR 1.75 million grant from the European Research Council (ERC) under the Seventh Framework Programme (FP7).

Surgery is a common tool in cancer treatment. Tissue removed during an operation is sent to the laboratory for analysis to ensure that all of the diseased tissue has been removed. Currently, it takes several days to examine the tissue; if it turns out that some diseased tissue has been left in the patient, he or she may require a second operation.

The starting point of the new technique is electrosurgery. In electrosurgery, the conventional scalpel is replaced with an electroscalpel, in which a high-frequency electrical current is used to cut through and remove tissue. An advantage of electrosurgery is that while a cut is being made, blood vessels are closed off, thereby avoiding excessive bleeding.

As the surgeon works, the treated tissue becomes extremely hot and is partially vaporised. In addition, the electrical current triggers the production of electrically charged molecules. Different types of tissue have different molecular profiles, and, crucially, the molecular profile of cancerous tissue looks very different to that of healthy tissue.

In this latest study, German and Hungarian researchers fitted a conventional electroscalpel with a special pump that sucks up the vaporised molecules and sends them to a mass spectrometer. Here, the molecular profile of the tissue being cut is analysed and the information is provided to the surgeon in real time. The researchers have dubbed their new technique REIMS (rapid evaporation ionisation mass spectrometry).

"Tissue analysis with REIMS, including data analysis, requires only fractions of a second," commented Dr Zoltán Takáts of Justus Liebig University in Germany. "During an operation, the surgeon thus received virtually real-time information about the nature of the tissue as he was cutting it." Furthermore, the system was able to tell the surgeon whether the cancer was at an early or advanced stage.

"The presented results serve as a basis for future development of surgical methods guided by mass spectrometry," the researchers write. "REIMS allows rapid analysis of vital and processed tissues and real-time identification of tissue features during surgery."

Although the system has not yet been tested on humans, the researchers point out that all the experiments were carried out under the conditions required for human surgical facilities. They are therefore optimistic that the new technique could be easily transferred to the operating theatre.

For furhter information, please visit:

Copyright ©European Communities, 2009
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...

AI Revolutionizes Glaucoma Care

Imagine walking into a supermarket, train station, or shopping mall and having your eyes screened for glaucoma within seconds - no appointment needed. With the AI-based Glaucoma Screening (AI-GS) network...

AI may Help Clinicians Personalize Treat…

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI)...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

AI can Open Up Beds in the ICU

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging...

Can AI Help Detect Cognitive Impairment?

Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI Model Predicting Two-Year Risk of Com…

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences including life-threatening blood clots and stroke if left undetected or untreated. A new study...

Patients' Affinity for AI Messages …

In a Duke Health-led survey, patients who were shown messages written either by artificial intelligence (AI) or human clinicians indicated a preference for responses drafted by AI over a human...

New Research Explores How AI can Build T…

In today’s economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine...