The type of therapy a cancer patient receives, largely depends on the trained eye of a pathologist.
Investigating diseased organs and tissues under the microscope is one of their tasks. However, human judgment is, by its very nature, subject to a certain degree of variation. To enhance the quality of diagnosis, scientists at Vetmeduni Vienna, the Medical University of Vienna and the Ludwig Boltzmann Institute for Cancer Research have developed a software that specifically identifies cell structures and proteins in order to provide reliable diagnoses. The scientists published their data in the journal Plos One.
Together with the company Tissuegnostics, the pathologist Lukas Kenner and his colleagues have developed a software that is able to identify cancer cells in tissue sections and demonstrate the presence of specific biomarkers on cells. The overall information provides a precise picture of the disease and leads to the most suitable treatment.
According to the results of the study, “Two independent pathologists concur with each other only in regard of every third diagnosis.”
“The recently developed software offers, for the first time, the option of eliminating the so-called inter-observer-variability, which is the systematic variability of judgement among different observers,” chief investigators Lukas Kenner and Helmut Dolznig explain.
Software identifies the severity of cancer
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