Typical CT imaging features for COVID-19. Unenhanced, thin-section axial images of the lungs in a 52-year-old man with a positive RT-PCR (A-D) show bilateral, multifocal rounded (asterisks) and peripheral GGO (arrows) with superimposed interlobular septal thickening and visible intralobular lines (“crazy-paving”). Routine screening CT for diagnosis or exclusion of COVID-19 is currently not recommended by most professional organizations or the US Centers for Disease Control and Prevention. Image courtesy of RSNA
Iva Speck, MD, explains research showing that novel, fully digital, high-resolution positron emission tomography/computed tomography imaging of small brain stem nuclei can provide clinicians with valuable information concerning the auditory pathway in patients with hearing impairment. The research is featured in The Journal of Nuclear Medicine (read more at http://jnm.snmjournals.org/content/current). Video courtesy of Iva Speck, University Hospital Freiburg, Germany.
Representative examples of the attention heatmaps generated using Grad-CAM method for (a) COVID-19, (b) CAP, and (c) Non-Pneumonia. The heatmaps are standard Jet colormap and overlapped on the original image, the red color highlights the activation region associated with the predicted class. COVID-19 = coronavirus disease 2019, CAP = community acquired pneumonia. Image courtesy of the journal Radiology
Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17. Image courtesy of the journal Radiology
Varian received FDA clearance for its Ethos therapy in February 2020, shown here displayed for the first time at ASTRO 2019. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.
Immunofluorescent staining performed to depict γ-H2AX foci. Representative images of γ-H2AX foci in peripheral blood lymphocytes in an 82-year-old woman who underwent standard-dose CT. (a) Nuclear DNA of four lymphocytes. (b) γ-H2AX foci (arrows). (c) Markers of DNA double-strand breaks. In this merged image, DNA is blue and γ-H2AX foci are red (arrows show small foci). γ-H2AX, a marker of DNA double-strand breaks, is a phosphorylated type of histone H2AX. Scale bar: 5 mm. Image courtesy of the Radiological Society of North America
Images in a 57-year-old woman noted to have "good prognosis" invasive cancer detected at digital breast tomosynthesis (DBT) screening. (a) Craniocaudal view of the left breast obtained with the two-dimensional digital mammography (DM) portion of the DM/DBT screening study demonstrates a subtle area of distortion in the medial left breast. (b) Single-slice image from the left craniocaudal DBT portion of the screening study shows an area of bridging distortion (circle). (c) Electronically enlarged image of the area of concern seen on the left craniocaudal view in a single DBT slice as shown in b. (d) Targeted US scan demonstrates two small adjacent irregular solid masses. US-guided core biopsy yielded an invasive carcinoma of the tubular subtype that was estrogen receptor positive, progesterone receptor positive, and human epidermal growth factor receptor 2 negative. The results of the sentinel node biopsy were negative. Image courtesy of the Radiological Society of North America
Example: SoftVue image stacks of sound speed, as shown for cases ranging across the four Breast Imaging Reporting and Data System (BI-RADS) breast density categories ((a), fatty; (b), scattered; (c), heterogeneously dense; (d), extremely dense). Note the quantitative scale indicating that absolute measurements are obtained. Image courtesy of MDPI