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Radiology & Imaging news

Oncology & Cancer

30-year smoking duration-based criteria could increase lung cancer screening

Thirty-year smoking duration-based criteria could reduce eligibility gaps for all races relative to whites, while improving six-year lung cancer detection sensitivity, according to a study published online Dec. 16 in the ...

Oncology & Cancer

New Raman imaging system detects subtle tumor signals

Researchers have developed a new compact Raman imaging system that is sensitive enough to differentiate between tumor and normal tissue. The system offers a promising route to earlier cancer detection and to making molecular ...

Oncology & Cancer

WISDOM trial weighs risk-based cancer screening

University of California, San Francisco investigators led WISDOM, a randomized comparison of risk-based breast cancer screening and annual mammography. Rates of stage ≥IIB breast cancers met a noninferiority threshold under ...

Oncology & Cancer

New technology reduces false positives in breast ultrasounds

New ultrasound technology developed at Johns Hopkins can distinguish fluid from solid breast masses with near perfect accuracy, an advance that could save patients, especially those with dense breast tissue, from unnecessary ...

Radiology & Imaging

AI can detect early signs of aging from chest X-rays

Artificial intelligence may be able to reveal how fast your body is aging by analyzing a chest X-ray, according to a new study published in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. ...

Diseases, Conditions, Syndromes

Neutron scattering sheds light on lung injuries linked to vaping

Researchers from the University of Windsor are using neutrons at the Department of Energy's Oak Ridge National Laboratory to better understand symptoms associated with e-cigarette/vaping-associated lung injury (EVALI).

Neuroscience

Unified EEG imaging improves mapping for epilepsy surgery

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible for drug-resistant epilepsy. Surgery can be a life-changing option for millions of epilepsy patients ...

Radiology & Imaging

Mammography AI can cost patients extra: Is it worth it?

As I checked in at a Manhattan radiology clinic for my annual mammogram in November, the front desk staffer reviewing my paperwork asked an unexpected question: Would I like to spend $40 for an artificial intelligence analysis ...

Oncology & Cancer

Clinical breast exam rarely detects second breast cancer after DCIS

For patients undergoing surveillance following diagnosis and treatment of ductal carcinoma in situ (DCIS), very few second breast cancers are detected by clinical breast examination by a physician, according to a study published ...

Radiology & Imaging

Targeted MRI detects chronic liver disease

Chronic liver diseases such as hepatitis, liver cirrhosis, and hepatocellular carcinoma are a major cause of morbidity and mortality worldwide. Fibrosis—the thickening and scarring of connective tissue—plays a major role ...

Radiology & Imaging

New AI tool accurately detects COVID-19 from chest X-rays

Researchers have developed an artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98% accuracy. The study results have just been published in Scientific Reports.

Neuroscience

Using spectroscopy to measure visual recognition

The brain is not only the most complex organ of the human body, but also one of the most difficult to study. To understand the roles of different regions of the human brain and how they interact, it is crucial to measure ...

Radiology & Imaging

Machine learning can make medical images more reliable

Magnetic resonance imaging (MRI) offers great opportunities when it comes to diagnosing cancer. However, the scanning procedure is extremely sensitive. One of the many problems occurs if the patient moves ever so slightly ...

Radiology & Imaging

Dlung: A novel method for lung image registration

Research published in Journal of Shanghai Jiao Tong University (Science) has proposed a new method for lung image registration named Dlung. Dlung is an unsupervised few-shot learning-based diffeomorphic lung image registration, ...

Neuroscience

Shining a light on the hidden damage of mild brain injuries

Researchers have created a new brain imaging method that allows mild traumatic brain injuries (mTBIs) to be diagnosed, even when existing imaging techniques like magnetic resonance imaging (MRI) don't show any structural ...

Oncology & Cancer

How AI could dramatically improve cancer patients' prognosis

With 1.2 million deaths in the 2020, or 23% of the total number of deaths, cancer is the second biggest killer in the European Union. The figure is all the more tragic given 40% of these cancers could be prevented through ...