New software, created by scientists at Imperial College London and the University of Edinburgh, has been able to identify and measure the severity of small vessel disease, one of the commonest causes of stroke and dementia. The study, published in Radiology, took place at Charing Cross Hospital, part of Imperial College Healthcare NHS Trust.
Researchers say that this technology can help clinicians to administer the best treatment to patients more quickly in emergency settings – and predict a person’s likelihood of developing dementia. The development may also pave the way for more personalised medicine.
Dr Paul Bentley, lead author and Clinical Lecturer at Imperial College London, said:
“This is the first time that machine learning methods have been able to accurately measure a marker of small vessel disease in patients presenting with stroke or memory impairment who undergo CT scanning. Our technique is consistent and achieves high accuracy relative to an MRI scan – the current gold standard technique for diagnosis. This could lead to better treatments and care for patients in everyday practice.”
Professor Joanna Wardlaw, Head of Neuroimaging Sciences at the University of Edinburgh, added: “This is a first step in making a scan reading tool that could be useful in mining large routine scan datasets and, after more testing, might aid patient assessment at hospital admission with stroke.”
Small vessel disease (SVD) is a very common neurological disease in older people that reduces blood flow to the deep white matter connections of the brain, damaging and eventually killing the brain cells. It causes stroke and dementia as well as mood disturbance. SVD increases with age but is accelerated by hypertension and diabetes.
At the moment, doctors diagnose SVD by looking for changes to white matter in the brain during MRI or CT scans. However, this relies on a doctor gauging from the scan how far the disease has spread. In CT scans it is often difficult to decide where the edges of the SVD are, making it difficult to estimate the severity of the disease, explains Dr Bentley.
Although MRI can detect and measure SVD more sensitively it is not the most common method used due to scanner availability, and suitability for emergency or older patients.
Dr Bentley added: “Current methods to diagnose the disease through CT or MRI scans can be effective, but it can be difficult for doctors to diagnose the severity of the disease by the human eye. The importance of our new method is that it allows for precise and automated measurement of the disease. This also has applications for widespread diagnosis and monitoring of dementia, as well as for emergency decision-making in stroke.”
Dr Bentley explains that this software could help influence doctors decision-making in emergency neurological conditions and lead to more personalised medicine. For example, in stroke, treatments such as ‘clot busting medications’ can be quickly administered to unblock an artery. However, these treatments can be hazardous by causing bleeding, which becomes more likely as the amount of SVD increases. The software could be applied in future to estimate the likely risk of haemorrhage in patients and doctors can decide on a personal basis, along with other factors, whether to treat or not with clot busters.
He also suggests that the software can help quantify the likelihood of patients developing dementia or immobility, due to slowly progressive SVD. This would alert doctors to potentially reversible causes such as high blood pressure or diabetes.
The study used historical data of 1082 CT scans of stroke patients across 70 hospitals in the UK between 2000-2014, including cases from the Third International Stroke Trial. The software identified and measured a marker of SVD, and then gave a score indicating how severe the disease was ranging from mild to severe. The researchers then compared the results to a panel of expert doctors who estimated SVD severity from the same scans. The level of agreement of the software with the experts was as good as agreements between one expert with another.
Additionally, in 60 cases they obtained MRI and CT in the same subjects, and used the MRI to estimate the exact amount of SVD. This showed that the software is 85 per cent accurate at predicting how severe SVD is.
The team are now using similar methods to measure the amount of brain shrinkage and other types of conditions commonly diagnosed on brain CT
The Latest on: Artificial intelligence diagnostics
via Google News
The Latest on: Artificial intelligence diagnostics
- Cisco Unveils Server for Artificial Intelligence and Machine Learning on September 19, 2018 at 1:23 am
Meanwhile in healthcare, they're interested in better insights and diagnostics, improving medical image classification, and speeding drug discovery and research. Powering Artificial Intelligence at Sc... […]
- Artificial Intelligence vs Human Intelligence: Who Will Win The Ultimate Battle? on September 18, 2018 at 3:14 am
Artificial intelligence vs human intelligence is a ... Watson sifts through the abundance of newly published and existing medical-diagnostic materials to present the doctors with new pieces ... […]
- Arguing the Pros and Cons of Artificial Intelligence in Healthcare on September 17, 2018 at 7:16 am
The idea that artificial intelligence will replace human workers has been around ... Babylon Health announced that an AI algorithm scored higher than humans on the written test on diagnostics used to ... […]
- The promise of artificial intelligence in diagnosing illness on September 17, 2018 at 4:00 am
But advancements in artificial intelligence are about to disrupt disease diagnosis ... The digital images become a historical record of the blood or tissue sample. The entire diagnostic process could ... […]
- Over 40% CAGR Healthcare Artificial Intelligence Market to reach $10 billion by 2024 on September 14, 2018 at 8:34 am
Increasing application of artificial intelligence in diagnostics and imaging industry will further growth. Ask for Sample copy of this report @ https://www.gminsights.com/request-sample/detail/1557 In... […]
- Pentagon maps future plans with Artificial Intelligence on September 14, 2018 at 7:35 am
The Pentagon is making a massive push to accelerate the application of artificial intelligence to ships ... The new carriers use advanced algorithms to perform diagnostics and other on-board maintenan... […]
- Advanced Diagnostics for Personalized Medicine on September 14, 2018 at 6:21 am
This combination of high-throughput omics technology and artificial intelligence is ushering in a new era of advanced diagnostics that will transform the understanding and treatment of many diseases, ... […]
- Conviva Introduces Ecosystem Module as Artificial Intelligence Continues to Improve Streaming TV Viewing Experiences on September 14, 2018 at 12:37 am
14, 2018 /PRNewswire/ -- Conviva, the real-time measurement and intelligence platform for streaming TV ... will enable publishers to route alerts in real-time, with granular diagnostics, to approved c... […]
- SRL Diagnostics to harness AI-based pathology solutions of Microsoft on September 11, 2018 at 4:58 am
SRL Diagnostics on Tuesday said it is partnering Satya Nadella-led Microsoft’s India arm to adopt pathology solutions based on artificial intelligence (AI). Arindam Haldar, chief executive of SRL, sai... […]
via Bing News