Compared with postoperative stereotactic radiation therapy, an investigational intraoperative RT approach could significantly reduce local tumor recurrence and improve survival in patients with newly diagnosed operable brain metastases.
New findings could shift the standard approach to preventing brain metastases in SCLC, particularly as modern MRI allows clinicians to detect and treat brain disease earlier.
The imaging agent could potentially help doctors characterize a malignancy's aggression and identify lesions with a higher likelihood of invasion or metastasis.
A new review led by UCLA researchers examines the utility of commercially available AI tools for screening mammography and evidence surrounding their ability to detect interval cancers.
“Results of this case-control study suggest that even for maximum univariate biological differences, deviations between patients with MDD and healthy controls were remarkably small," experts shared in JAMA Psychiatry.
A new analysis offers a detailed comparison of soft-tissue lymphomas and soft-tissue tumors based on imaging characteristics from MRI scans—an area of study that has not yet been rigorously explored, the authors of the paper indicated.
When combined with artificial intelligence-based noise reduction techniques, new photon-counting CT technology can increase the detection of bone disease while also decreasing radiation exposure.
The event was the sixth Workshop on Medical Applications of Spectroscopic X-ray Detectors, which wrapped Sept. 1 at the largest particle physics lab in the world.
The effect shows up on functional MRI as increased brain activity in regions involved in pain, emotion and attention—not only during the procedure but also afterward, when patients remember the experience and score its discomfort level.
Six radiologists interpreting around 500 chest radiographs with an assist from AI bested unaided radiologists in measures of efficiency and/or accuracy in a new comparative performance study.
