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Virus World provides a daily blog of the latest news in the Virology field and the COVID-19 pandemic. News on new antiviral drugs, vaccines, diagnostic tests, viral outbreaks, novel viruses and milestone discoveries are curated by expert virologists. Highlighted news include trending and most cited scientific articles in these fields with links to the original publications. Stay up-to-date with the most exciting discoveries in the virus world and the last therapies for COVID-19 without spending hours browsing news and scientific publications. Additional comments by experts on the topics are available in Linkedin (https://www.linkedin.com/in/juanlama/detail/recent-activity/)
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CT Scans in Childhood Linked to Increased Blood Cancer Risk

CT Scans in Childhood Linked to Increased Blood Cancer Risk | Virus World | Scoop.it

In new research, scientists have linked increased CT scan exposure to an increased risk of blood cancer in younger people. A team of researchers at Barcelona Institute for Global Health found that childhood exposure to CT scan radiation is linked to an increased risk of blood cancer in the years that follow. The study is published today (9 November) in the scientific journal, Nature Medicine.  "We must keep studying how we can limit radiation exposure in those seeking diagnoses, as this could help prevent cases of blood cancer, potentially saving lives"

What did the researchers do?

The researchers looked at 876,771 people who underwent at least one CT scan before the age of 22. Researchers estimated the dose of radiation delivered to the bone marrow, where blood cells are produced, of each person. Scientists then linked these people to national cancer registries of nine countries and identified those who developed a blood cancer over time. They followed people for an average of 7.8 years, and in some cases, researchers were able to monitor cancer incidence for more than 20 years after the first scan.

What did the researchers find?

The team found a total of 790 blood cancer cases during the study. This included blood cancers that affected the myeloid and lymphoid. This included the forms of blood cancer including AML, Hodgkin’s and Non-Hodgkins lymphoma and myeloma.  Just over half of the cases of cancer were younger than 20 at diagnosis, and 88.5% of those were we younger than 30.

What does this mean?

A dose of radiation at 100 mGy multiplied the risk of developing a blood cancer by a factor of about 3. Today’s average CT scan dose is around 8 mGy. The findings from this study suggest that a typical scan today, which has an average dose of about 8 mGy, during childhood increases the risk of developing blood cancer by about 16%. In absolute terms, this means for every 10,000 children that have a CT scan there are 1-2 cases of blood cancer.

Our expert opinion

Sarah McDonald, Deputy Director of Research at Blood Cancer UK, said: “A CT scan is an important medical procedure for diagnosing disease, planning treatment, and for follow up. While this large and well-run study doesn’t prove a direct cause between a CT scan and blood cancer risk, researchers found for every 10,000 children who have a CT scan, there were 1-2 extra cases of blood cancer in the 12 years following the examination. “Blood cancer is the UK’s fifth most common cancer, and the UK’s third largest cancer killer and the key message to anyone who has been diagnosed with blood cancer is this: it is not your fault. Risk factors are not the same as causes and there are various risk factors for blood cancer that all interlink, with things like your age, sex and ethnicity playing an important role too. “We must keep studying how we can limit radiation exposure in those seeking diagnoses, as this could help prevent cases of blood cancer, potentially saving lives. If you have any concerns, you should talk to your healthcare provider and Blood Cancer UK’s team are contactable on 0808 2080 888, if you want any support.”

 
Study published in Nature Medicine (Nov. 2023):
Coline Boyé's curator insight, December 3, 2023 2:31 PM
Lien entre une exposition accrue au scanner et un risque accru de cancer du sang chez les jeunes. Etude qui s'avère très intéressante !!
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Alibaba Says AI Can identify Coronavirus Infections with 96% Accuracy

Alibaba Says AI Can identify Coronavirus Infections with 96% Accuracy | Virus World | Scoop.it

A new AI-powered diagnosis system promises to detect new coronavirus cases with an accuracy rate of up to 96% via computerized tomographyscans, Chinese tech outlet Sina Tech News reported. 

 

The diagnosis algorithm was developed by Alibaba's research institute Damo Academy. Researchers at the academy said they had trained the AI model with sample data from more than 5,000 confirmed cases, adding that the system could identify differences in CT scans between patients infected with the novel virus and those with ordinary viral pneumonia with an accuracy of up to 96%. The algorithm included the latest treatment guidelines and recently published research, said its creators. The new diagnostic tool was first introduced in the new Qiboshan Hospital in Zhengzhou, Henan province, which was modeled on Beijing's Xiaotangshan Hospital, completed in 2003 to deal with the SARS crisis. The new hospital started accepting patients infected with coronavirus on Sunday.

 

The system would also be adopted in more than 100 hospitals in the provinces of Hubei, Guangdong and Anhui, said Alibaba. The new algorithm could alleviate pressure on hospitals, as it can complete the recognition process within 20 seconds, according to Alibaba. Usually, it will take a doctor between five and 15 minutes to analyze a CT scan of one suspected patient and give a clinical diagnosis, with scans sometimes including more than 300 images.

 

The Chinese National Health Commission on Feb. 5 widened the criteria for the diagnosis of new infections, adding CT scan results on top of the previous nucleic acid test method, to ensure patients with clinical symptoms will receive standard treatment as soon as possible. This new diagnosis system is not Alibaba's first attempt to use AI to combat coronavirus. Researchers from Damo Academy have developed an AI-powered public health service tool that provides information related to the SARS-CoV-2 coronavirus, which was first deployed by the government of Zhejiang province on Jan. 27. The system can answer most inquiries regarding the pandemic via an app.