The use of adjunctive CT bone reading software in women with breast cancer detected between 8 to 22 percent more metastatic lesions for reviewing radiologists and reduced CT interpretation time by 50 percent or more, according to a new study.
|Articles|September 1, 2009
- Diagnostic Imaging Vol 31 No 9
- Volume 31
- Issue 9
MRI software predicts Alzheimer's disease
Massachusetts General Hospital researchers are using automated MRI software to detect individuals in the preclinical phase of Alzheimer's disease with 95% accuracy.
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Massachusetts General Hospital researchers are using automated MRI software to detect individuals in the preclinical phase of Alzheimer's disease with 95% accuracy.
Dr. Rahul Desikan, a researcher at MGH, and colleagues identified which regions of the brain are affected by AD and mild cognitive impairment in two patient groups of 97 and 216, respectively. Based on earlier pathological and imaging studies, the investigators confirmed that those with AD or MCI demonstrate a significant difference in thickness and volume in their entorhinal cortex, hippocampus, and supramarginal gyrus. The researchers then processed MRI scans of individuals with AD and MCI using FreeSurfer, open source software developed at MGH and the University of California, San Diego (Brain 2009;May 21 online).
Articles in this issue
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ERs find assault victim SOP pelvic x-rays unnecessaryabout 17 years ago
Researchers clash over AAA screening's worthabout 17 years ago
fMRI hints 'will' and 'grace' are not equally honestabout 17 years ago
Partial reform invites docs to game the systemabout 17 years ago
Cardiac CT certification hinges on experienceabout 17 years ago
Mammography patients feel pinch of recessionabout 17 years ago
Will patient pics improve or harm interpretation quality?about 17 years ago
Diffusion tensor imaging charts path to schizophreniaabout 17 years ago
RSNA's integration effort tackles radiation exposureabout 17 years ago
Radiologist incomes rise despite slower job growthAdvertisement
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How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
While the allure of partnership or a hierarchical promotion system for those who paid their dues once sounded promising, the current reality amid declining reimbursements, thinning practice margins and private equity acquisitions is going after the gig with the most optimal lifestyle and paycheck.
Catch up on the top radiology content of the past week.
In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
In a recent interview, Amir Iravani, MD, FRACP, discussed the radiotherapeutic agent 177Lu-edotreotide and new dosimetry data from the COMPETE trial that was recently presented at the ASTRO conference.
While AI offers the lure of efficiency and cleaner writing in scientific research, maintaining the principles of authorship and intellectual engagement is perhaps more important than ever before.
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