- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Broad view of heart shows otherwise missed pathology
Almost a quarter of all patients in a recent study who underwent CT angiography had findings outside the heart and great vessels, leading to several serious diagnoses being missed.
Almost a quarter of all patients in a recent study who underwent CT angiography had findings outside the heart and great vessels, leading to several serious diagnoses being missed. A broad viewing approach led to more workup and follow-up imaging.
Out of 6920 patients, 1642 had one or more extracardiac findings for a total of 1901 findings in the broad viewing scheme. Of all the patients, 16.2% had a finding necessitating therapy, workup, or follow-up. By engaging in just the focused viewing scheme, most therapy (90.9%), workup (64.1%), and follow-up (51.2%) needs were missed (AJR 2010;195:143-148).
Use of the focused approach resulted in fewer false-positive diagnoses, but five malignant tumors of the breast, 88 lung infiltrates, 43 cases of adenopathy, two cases of polycystic kidney disease, one breast abscess, and one case of splenic flexure diverticulitis were missed.
Study Reveals Benefits of Photon-Counting CT for Assessing Acute Pulmonary Embolism
April 23rd 2024In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
AI Adjudication Bolsters Chest CT Assessment of Lung Adenocarcinoma
April 11th 2024The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
