The researches find that the neurosurgeons to identify cancerous tissue during surgery and enables the more precise excision of tumors. Electrosurgical resection using devices such as an electric knife or diathermy blade is currently a widely use technique in neurosurgery. When tissue is burn; but tissue molecules are disperse in the form of surgical smoke.
The neurosurgeons to identify
In the method developed by researchers at Tampere University, therefore the surgical smoke is fed into a new type of measuring system that can identify malignant tissue and distinguish it from healthy tissue. A neurosurgeon is a physician who specializes in the diagnosis and surgical treatment of disorders of the central and peripheral nervous system including congenital anomalies; trauma, tumors, vascular disorders; infections of the brain or spine, stroke, or degenerative diseases of the spine.
The precise planning and performance of neurosurgical procedures on the brain; spine, spinal cord and peripheral nerves require the operating surgeon‘s utmost concentration. Every decision has consequences and must be made with great care. step carries risks and must be approached with caution. surgery is strongly connected with hopes and fears of the patient and their relatives in anticipation of a full recovery.
Neurosurgeon is a physician
An article on using surgical smoke to identify brain tumors was recently publish 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.”
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.
Neurosurgical operating theatres
“The specific advantage of the equipment is that it can be connect to the instrumentation already present in neurosurgical operating theatres,” Haapala points out. The technology is base 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 collect from 28 brain tumors and control specimens. The equipment use is develop 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 use to produce the flue gas from the tissues.
Tumors and control specimens
The system’s classification accuracy is 83% when all the samples are analyze. The accuracy improve in more restrict 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.