This channel contains news about the Radiological Society of North America (RSNA), including coverage of its annual meeting. RSNA is a leading resource for the radiology and all its subspecialties. This includes all areas of medical imaging, angiography, computed tomography (CT), digital X-ray, magnetic resonance imaging (MRI), nuclear imaging, ultrasound, PACS and advanced visualization. For coverage of RSNA specific to cardiovascular medicine and interventional radiology, visit our sister publication Diagnostic and Interventional Cardiology (DAIC) and its RSNA channel.
This image is of an 80 kg woman with a newly diagnosed IDH-wildtype glioblastoma. The quarter dose image on the left was obtained after the administration of 4 ml of MultiHance. Subsequently, an additional 12 ml of MultiHance was administered and the cumulative full dose image in the center was obtained. The image on the right was rendered following artificial intelligence processing of the 4 ml image using eGad genetic algorithms. This image has the quality of triple dose gadolinium even though only one quarter dose gadolinium was given.
Axial unenhanced inspiratory CT images of the lungs in 51-year-old woman (a) before and (b) 6 months after bariatric surgery with 31-kg weight loss (body mass index decrease, 36.1%). The mosaic attenuation seen before surgery resolved after surgery. Image courtesy of Radiological Society of North America (RSNA)
Images show electronic cigarette or vaping product use-associated lung injury in a 32-year-old man with history of vaping who presented with fevers and night sweats for 1 week. (a) Coronal maximum intensity projection image shows diffuse centrilobular nodularity. (b) Histologic sections of his transbronchial cryobiopsy showed distinctive micronodular pattern of airway-centered organizing pneumonia, corresponding to centrilobular nodularity seen at CT. Similar imaging and pathologic findings have been described in patients with smoke synthetic cannabinoids. Image courtesy of Radiological Society of North America (RSNA)
This is a lung X-ray reviewed automatically by artificial intelligence (AI) to identify a collapsed lung (pneumothorax) in the color coded area. This AI app from Lunit is awaiting final FDA review and in planned to be integrated into several vendors' mobile digital radiography (DR) systems. Fujifilm showed this software integrated as a work-in-progress into its mobile X-ray system at RSNA 2019. GE Healthcare has its own version of this software for its mobile r=ray systems that gained FDA in 2019.
There were more than 150 companies showing some version of artificial intelligence at RSNA, but very few have FDA cleared products for sale. One of the trends seen on the floor was a movement toward AI app stores where these start-up companies can offer their wares through a larger vendor and provide a single point of contracts and IT integration for hospitals.