Background The COVID-19 pandemic reduced mammography utilization, potentially delaying breast cancer diagnoses. Purpose To examine breast biopsy recommendations and breast cancers diagnosed before and during the COVID-19 pandemic by mode of detection (screen-detected versus symptomatic) and women’s characteristics. Materials and Methods In this secondary analysis of prospectively collected data,…
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep learning (DL) methods have provided accelerated high-quality image reconstructions from undersampled…
IntroductionSoon after Roentgen’s discovery of the x-ray (radiography) in 1895, chest fluoroscopy and chest radiography became established clinical procedures. The standard radiograph remained the mainstay…
Purpose To update previously summarized estimates of diagnostic accuracy for acute cholecystitis and to obtain summary estimates for more recently introduced modalities. Materials and Methods…
References1. Hwang EJ, Nam JG, Lim WH, et al. Deep Learning for Chest Radiograph Diagnosis in the Emergency Department. Radiology 2019;293(3):573–580. Link, Google Scholar2. Niehues SM,…
Dr. Manisha Bahl discusses the issues surrounding implementation of clinical artificial intelligence in radiology with Dr. Dania Daye and Dr. Curtis Langlotz.
Background The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) is a recognized tool for management of thyroid nodules in adults…
Background To the knowledge of the authors, no strong evidence supports surveillance imaging in patients with head and neck cancer (HNC). Purpose To investigate the…
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Gallium 68 (68Ga)–labeled fibroblast activation protein (FAP) inhibitor (FAPI) PET is based on the molecular targeting of the FAP, which is known to be highly…
Background Breast cancer tumors can be identified as different luminal molecular subtypes depending on either immunohistochemical (IHC) staining or St Gallen criteria that includes Ki-67.…
