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.
Examples of axial FLAIR sequences from studies within dataset A. From left to right: a patient with a 'likely normal' brain; a patient presenting an intraparenchymal hemorrhage within the right temporal lobe; a patient presenting an acute infarct of the inferior division of the right middle cerebral artery; and a patient with known neurocysticercosis presenting a rounded cystic lesion in the left middle frontal gyrus. Image courtesy of Radiological Society of North America
Spectral DLR enables improved assessment of lumen stenosis in the presence of calcified plaque. Interactive monochromatic image display enables improved opacification of the injected contrast with low keV images and reduced calcium blooming artifacts with high keV images. The range of monochromatic energy levels (35-135 keV) can be visualized in real time through an image slider in the application that can be integrated in to a PACS.
Axial chest CT examination in a 54-year-old participant. A, On the axial noncontrast chest CT image, the pectoralis muscle (PM) area was segmented and measured in the section above the aortic arch. B, The subcutaneous adipose tissue (SAT) area as the area between the PM and the skin surface on the same section was also measured and the attenuation of pixels in the SAT area was used to determine the individualized threshold for the intermuscular adipose tissue (IMAT). C, The IMAT within the PM was segmented as the areas with Hounsfield units below this threshold for the IMAT (arrowheads). Image courtesy of the Radiological Society of North America
GE Healthcare introduced its artificial intelligence (AI) automation features on its Voluson Swift ultrasound platform at the 2020 Radiological Society of North America (RSNA) virtual meeting. Features of this system include semi-automated contouring, auto identification of fetal anatomy and positioning on imaging. AI is seeing increasing integration in ultrasound systems from numerous vendors.
Images in 69-year-old man with biopsy-confirmed Gleason score 7 (3+4) prostate cancer. (a) Pretreatment axial T2-weighted fast spin-echo MRI scan (repetition time msec/echo time msec, 3820/97) shows tumor in midline anterior transition zone (arrow). (b) Intraoperative MRI scan shows contoured rectal wall (red line), prostate margin (blue outline), and region of interest (orange outline). Because the urethra was included in planned treatment volume, a suprapubic catheter was placed for continuous bladder drainage during treatment. (c) Intraoperative MRI scan shows focused ultrasound beam path (blue) overlaid on treatment plan. Rectangles illustrate each sonication spot. (d) Thermal map image obtained during treatment with heat deposition color coded in red overlaid on sonication spot. (e) Axial gadopentetate dimeglumine-enhanced MRI scan (230/2.97) obtained immediately after treatment shows devascularized ablated volume (arrows). (f) Corresponding T2-weighted fast spin-echo MRI scan (3820/97) at 5 months after ablation shows complete involution of transition zone. All seven cores from treatment area margins were negative for cancer at biopsy. Image courtesy of the Radiological Society of North America