Newly developed artificial nose can effectively identify brain tumors during surgery, reports a new study. The findings of the study are published in the Journal of Neurosurgery.
An artificial nose developed at Tampere University, Finland, helps neurosurgeons to identify cancerous tissue during surgery and enables the more precise excision of tumors.
Brain Tumor
Brain tumors are the abnormal growth of brain cells that may be benign or metastatic. Brain tumors account for about 2.4% of all the tumor diagnosesandare most challenging due to their critically delicate location.
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‘Newly developed artificial nose helps neurosurgeons to identify brain tumors during surgery and also enables a more precise removal of cancerous tissue.’
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Electrosurgical resection using devices such as an electric knife or diathermy blade is currently a widely used technique in neurosurgery. When tissue is burned, tissue molecules are dispersed in the form of surgical smoke. In the method developed by researchers at Tampere University, the surgical smoke is fed into a new type of measuring system that can identify malignant tissue and distinguish it from healthy tissue.
An article on using surgical smoke to identify brain tumors was recently published in the Journal of Neurosurgery.
"In current clinical practice, frozen section analysis is the gold standard for intraoperative tumor identification. In that method, a small sample of the tumor is given to a pathologist during surgery," says researcher Ilkka Haapala from Tampere University.
![Brain Tumor in Children]( "Brain Tumor in Children")
An abnormal growth of cells in the brain is called brain tumor. Most tumors arise within the brain (primary). They can be benign or cancerous.
The pathologist undertakes a microscopic analysis of the sample and phones the operating theatre to report the results.
"Our new method offers both a promising way to identify malignant tissue in real time and the ability to study several samples from different points of the tumor," Haapala explains.
"The specific advantage of the equipment is that it can be connected to the instrumentation already present in neurosurgical operating theatres," Haapala points out.
The technology is based on differential mobility spectrometry (DMS), wherein flue gas ions are fed into an electric field. The distribution of ions in the electric field is tissue-specific, and the tissue can be identified on the basis of the resulting 'odor fingerprint.'
The study analyzed 694 tissue samples collected from 28 brain tumors and control specimens.
The equipment used was developed specifically for the study. It consists of a machine learning system, which analyses the flue gas with DMS technology, and an electric knife, which is used to produce the flue gas from the tissues.
The system's classification accuracy was 83% when all the samples were analyzed. The accuracy improved in more restricted settings. When comparing low malignancy tumors (gliomas) to control samples, the classification accuracy of the system was 94%, reaching to 97% sensitivity and 90% specificity.
Source: Eurekalert
"In current clinical practice, frozen section analysis is the gold standard for intraoperative tumor identification. In that method, a small sample of the tumor is given to a pathologist during surgery," says researcher Ilkka Haapala from Tampere University.
Brain Tumor in Children
An abnormal growth of cells in the brain is called brain tumor. Most tumors arise within the brain (primary). They can be benign or cancerous.
Advertisement
The pathologist undertakes a microscopic analysis of the sample and phones the operating theatre to report the results.
"Our new method offers both a promising way to identify malignant tissue in real time and the ability to study several samples from different points of the tumor," Haapala explains.
"The specific advantage of the equipment is that it can be connected to the instrumentation already present in neurosurgical operating theatres," Haapala points out.
The technology is based on differential mobility spectrometry (DMS), wherein flue gas ions are fed into an electric field. The distribution of ions in the electric field is tissue-specific, and the tissue can be identified on the basis of the resulting 'odor fingerprint.'
The study analyzed 694 tissue samples collected from 28 brain tumors and control specimens.
The equipment used was developed specifically for the study. It consists of a machine learning system, which analyses the flue gas with DMS technology, and an electric knife, which is used to produce the flue gas from the tissues.
The system's classification accuracy was 83% when all the samples were analyzed. The accuracy improved in more restricted settings. When comparing low malignancy tumors (gliomas) to control samples, the classification accuracy of the system was 94%, reaching to 97% sensitivity and 90% specificity.
Source: Eurekalert
Brain Tumors can Occur in Children With Common Genetic Syndrome
Brain tumors can occur in children and adults with the common genetic syndrome known as neurofibromatosis type 1 (NF1), which is a disorder characterized by birthmarks on the skin and benign nerve tumors.
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