Now, `intelligent knife` that tells which tissue is cancerous

Scientists have created an “intelligent knife," which will tell surgeons whether the tissue they are operating on is cancerous or not.

In the first study to test the invention in the operating theatre, the "iKnife" diagnosed tissue samples from 91 patients with 100 percent accuracy, instantly providing information that normally takes up to half an hour to reveal using laboratory tests.

In cancers involving solid tumours, removal of the cancer in surgery is generally the best hope for treatment. The surgeon normally takes out the tumour with a margin of healthy tissue. 

However, it is often impossible to tell by sight which tissue is cancerous. 

The iKnife is based on electro-surgery  a technology invented in the 1920s that is commonly used today. Electro-surgical knives use an electrical current to rapidly heat tissue, cutting through it while minimising blood loss. 

In doing so, they vaporise the tissue, creating smoke that is normally sucked away by extraction systems.

The inventor of the iKnife, Dr Zoltan Takats of Imperial College London, realised that this smoke would be a rich source of biological information. To create the iKnife, he connected an electro-surgical knife to a mass spectrometer, an analytical instrument used to identify what chemicals are present in a sample. 

Different types of cell produce thousands of metabolites in different concentrations, so the profile of chemicals in a biological sample can reveal information about the state of that tissue.

In the new study, the researchers first used the iKnife to analyse tissue samples collected from 302 surgery patients, recording the characteristics of thousands of cancerous and non- cancerous tissues, including brain, lung, breast, stomach, colon and liver tumours to create a reference library. 

The iKnife works by matching its readings during surgery to the reference library to determine what type of tissue is being cut, giving a result in less than three seconds.

The technology was then transferred to the operating theatre to perform real-time analysis during surgery. In all 91 tests, the tissue type identified by the iKnife matched the post-operative diagnosis based on traditional methods.



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