A new algorithm for automatically segmenting image data delivers fast and reproducible volumes of a wide variety of tumors, satisfying a significant unmet need in neuro-oncology, according to a new study in Academic Radiology. A panel of readers gave the algorithm high marks for how well it approximated manual data segmentation methods. {read more here}
Autosegmentation algorithm tackles array of brain tumors
Radiology, Advanced Visualization
The largest analysis to date of amyloid plaques in people’s brains confirms that the presence of the substance can help predict who will develop Alzheimer’s and determine who has the disease.
Two linked studies, published Tuesday in JAMA, also support the central early role in Alzheimer’s of beta amyloid, the protein that creates plaques. Data from nearly 9,500 people on five continents shows that amyloid can appear 20 to 30 years before symptoms of dementia, that the vast majority of Alzheimer’s patients have amyloid and that the ApoE4 gene, known to increase Alzheimer’s risk, greatly accelerates amyloid accumulation. {read more here}
With the dramatic increase in capabilities and importance of individualized cancer therapies targeting specific tumors according to molecular makeup, it would seem like a no-brainer to incorporate a wide-range of imaging biomarkers into clinical trials and, eventually, clinical practice. {read more here}
Using Positron Emission tomography to map inflammation, he has been able to show that even without obvious tissue damage, people who report whiplash pain have more inflammation in their necks. For the pain of tennis elbow, the inflammation is near the elbow. {read more here}