Catch up on a variety of FDA news in radiology from the past week.
|Articles|April 1, 2009
- Diagnostic Imaging Vol 31 No 4
- Volume 31
- Issue 4
Apple hypes iPhone radiology application
Author(s)H.A. Abella
OK radiologists, listen up. And watchyour iPhone screen, too, because itmay soon be filled with an image you’llneed to interpret.
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OK radiologists, listen up. And watch your iPhone screen, too, because it may soon be filled with an image you’ll need to interpret. At least that’s the message from Apple, whose latest television ad includes the phrase, “If you want to read an MRI, there is an app for that.”
The application is called OsiriX. It is open-source Macintosh-compatible software for medical imaging data display and manipulation.
An Apple official said OsiriX for iPhone caters to neurosurgeons, cardiologists, and ER physicians as well as radiologists. Even consumers can use an iPhone for fast access to their personal imaging records. Health Insurance Portability and Accountability Act privacy implications have not been fully explored, however.
The only way for us to know if radiologists are buying the concept is to ask you directly. Do you use OsiriX, or some other clinical imaging viewing application, on your iPhone or other smart phone? Share your experience with us by sending an e-mail message to
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Catch up on the top radiology content of the past week.
Reportedly one of the first FDA-cleared chest X-ray AI software platforms derived from a foundation model, the Chest Xray software facilitates detection and localization of lung nodules, pneumothorax, mediastinal abnormalities and other thoracic abnormalities.
Incorporating structural MRI to improve PET imaging resolution, the MICSI-PET software also offers automated Centiloid quantification from amyloid PET scans.
Emerging research demonstrates the increasing stability of attenuation on clinically relevant VMIs with photon-counting CT and a redefined role of kV that may have implications for longitudinal quantitative CT.
For patients with intermediate-risk prostate cancer, those with lower apparent diffusion coefficient (ADC) values on pre-treatment DWI MRI had a fourfold higher prevalence of distant metastasis in a study with a 10.3-year median follow-up.
In the second of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss challenges with evaluating value and ROI for AI software, the physician time required to do so, and possible solutions to facilitate improved clarity and consistency with AI reimbursement.
In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, MD, MPH, FSBI, offer pertinent takeaways for breast radiologists from recently issued guidelines for addressing proliferative breast lesions with atypia and lobular carcinoma in situ (LCIS).
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