IKnife
LONDON (Reuters) - Scientists have created an "intelligent" surgical knife that can detect in seconds whether tissue being cut is cancerous or not. promising more effective and accurate surgery in future.
The device, built by researchers at London's Imperial College, could allow doctors to cut back on additional operations to remove further pieces of cancerous tumors.
Surgeons often find it impossible to tell by sight where tumours end and healthy tissue begins, so some cancer cells are often left behind. One fifth of breast cancer patients who have lumpectomy surgery need a second operation.
The new "iKnife" is designed to get round the problem by instantly sampling the smoke given off as tissue is cut through using an electric current to see if it is cancerous.
In the first study to test the device in patients, the iKnife diagnosed tissue samples from 91 patients with 100 percent accuracy, researchers at Imperial College London reported in Science Translational Medicine on Wednesday.
Currently, removed tissue can be sent for laboratory analysis while the patient remains under general anesthetic - but each test takes around half an hour, while the iKnife provides feedback in less than three seconds.
It does this by analyzing biological information given off from burning tissue and comparing the findings to a database of biological fingerprints from tumors and healthy tissue.
"It's a really exciting innovation and a very promising technique for all types of surgery," said Emma King, a head and neck surgeon at Southampton Hospital, England, who was not involved in the research.
Still, she now wants to see how the iKnife performs in a randomized clinical trial.
CLINICAL TRIAL
Zoltan Takats of Imperial College, who invented the device, said he aimed to test it in such a study, involving between 1,000 and 1,500 patients with various types of cancers.
That trial process is likely to take two or three years and only then will the iKnife be submitted for regulatory approval, paving the way for its commercialization.
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