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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 ...

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. ...

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 ...

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

AI-powered map of the abdomen could help find cancer early on

Radiologists are beginning to use AI-based computer vision models to help speed up the laborious process of parsing medical scans. However, these models require large amounts of carefully labeled training data to achieve ...

Inflammatory disorders

PET probe images inflammation with high sensitivity and selectivity

Researchers at Dana-Farber Cancer Institute have developed a breakthrough method to detect inflammation in the body using positron emission tomography (PET) imaging. This innovative probe targets CD45, a marker abundantly ...

Radiology & Imaging

MRI for dense breasts: What to know

Nearly half of all women who have had a mammogram to screen for breast cancer have been identified as having dense breasts. This makes it more challenging to detect breast cancer because dense tissue and tumors both appear ...

Radiology & Imaging

Deep learning model helps detect lung tumors on CT scans

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in Radiology. The findings of the study could have important implications for lung cancer treatment.

Radiology & Imaging

AI models tested for privacy-safe radiology report analysis

Artificial intelligence (AI) and, above all, large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected. Researchers at the ...