Artificial Intelligence can help treat brain tumours
Researchers have developed an artificial
intelligence-based (AI) method for analysis of brain tumours, paving the
way for individualised treatment of tumours.
According to the study, AI machine learning methods, carefully trained on standard magnetic resonance imaging (MRI), are more reliable and precise than established radiological methods in the treatment of gliomas.
Glioma, a type of tumour that occurs in the brain and spinal cord, is common and most malignant of brain tumours in adults.
“With this study, we were able to demonstrate the potential of artificial neural networks in radiological diagnostics,” said a researcher.
For the study, the team included 500 brain tumour patients. Using a reference database with MRI scans of patients, the algorithms automatically recognised and localised brain tumours using artificial neural networks.
The algorithms were also enabled to volumetrically measure the individual areas (contrast medium-absorbing tumour portion, peritumoral edema).
“We want to advance the technology for automated high-throughput analysis of medical image data and transfer it not only to brain tumours but also to other diseases like brain metastases or multiple sclerosis,” said a researcher.
Glioma tumours often cannot be completely removed by surgery. Chemotherapy or radiotherapy are only effective to a limited extent because tumours are highly resistant. Therefore, new and precisely validated treatment approaches are urgently needed, the team noted.
According to the study, AI machine learning methods, carefully trained on standard magnetic resonance imaging (MRI), are more reliable and precise than established radiological methods in the treatment of gliomas.
Glioma, a type of tumour that occurs in the brain and spinal cord, is common and most malignant of brain tumours in adults.
“With this study, we were able to demonstrate the potential of artificial neural networks in radiological diagnostics,” said a researcher.
For the study, the team included 500 brain tumour patients. Using a reference database with MRI scans of patients, the algorithms automatically recognised and localised brain tumours using artificial neural networks.
The algorithms were also enabled to volumetrically measure the individual areas (contrast medium-absorbing tumour portion, peritumoral edema).
“We want to advance the technology for automated high-throughput analysis of medical image data and transfer it not only to brain tumours but also to other diseases like brain metastases or multiple sclerosis,” said a researcher.
Glioma tumours often cannot be completely removed by surgery. Chemotherapy or radiotherapy are only effective to a limited extent because tumours are highly resistant. Therefore, new and precisely validated treatment approaches are urgently needed, the team noted.
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Labels: analysis, artificial intelligence(AI), artificial neural networks, Brain tumor, gliomas, individualised, precise, recognised, reliable, resistant, spinal cord, standard magnetic resonance imaging (MRI), treatment
posted by G S Iyer at 3:36 AM
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