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- Mammography
Ultrasound proves true in pediatric appendicitis
In many institutions, children with suspected appendicitis head straight to the CT scanner for evaluation. But ultrasound provides an alternative, accurate means of making an initial diagnosis, sparing many children from potentially harmful radiation exposure, according to a study presented at the RSNA meeting.
In many institutions, children with suspected appendicitis head straight to the CT scanner for evaluation. But ultrasound provides an alternative, accurate means of making an initial diagnosis, sparing many children from potentially harmful radiation exposure, according to a study presented at the RSNA meeting.
In the retrospective study of 129 patients with suspected appendicitis, ultrasound as the primary imaging modality accurately identified positive cases and spared 45% of patients from CT radiation exposure, said Shlomit Goldberg, a medical student at Stanford University who presented the results.
Ultrasound has a high positive predictive value in pediatric appendicitis and can be relied upon to identify patients who need surgery. But it also has a high false-negative rate. At Stanford, ultrasound is the primary imaging modality for pediatric appendicitis, and positive cases are sent to the operating room for surgery. Indeterminate or negative ultrasound studies are followed up with CT.
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
