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http://dx.doi.org/10.1016/j.jacr.2018.04.003 | DOI Listing |
Clin Nucl Med
December 2024
From the Department of Radiology, University of California Davis, Sacramento, CA.
Accidental intra-arterial injections of radiotracers are rare events resulting in a specific imaging pattern, described as "hot-forearm," "hot-hand," "glove-phenomenon," or "glove-like pattern." We present a case 68 Ga-DOTATATE total-body PET/CT for restaging of a neuroendocrine tumor, where intra-arterial misinjection resulted in a glove phenomenon. Since patients may present with minimal symptoms, like in this case, and PET findings may only be seen at the distal upper extremity (placed above the head), these accidental injections may be more frequently detected with total-body PET/CT due to the longer field-of-view.
View Article and Find Full Text PDFCurr Probl Diagn Radiol
October 2024
Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14624, USA. Electronic address:
EClinicalMedicine
October 2024
Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands.
AJR Am J Roentgenol
April 2024
Department of Diagnostic Imaging, Brown University, Warren Alpert Medical School.
Breast cryoablation is a minimally invasive image-guided percutaneous procedure to treat fibroadenomas and early-stage breast cancer utilizing liquid nitrogen or argon gas to create extremely cold temperatures that devitalize targeted tissue. Although more long term data are needed, this outpatient procedure is well tolerated and carries minimal risks, including non-target thermal injury that can be mitigated by careful planning and proper technique. Building a sustainable breast cryoablation service in a radiology practice poses several practical considerations, such as training proceduralists, purchasing equipment, recruiting patients, and understanding the revenue cycle.
View Article and Find Full Text PDFJ Am Coll Radiol
October 2024
Project Leader HEOR, Radiology & Digital, Bayer, Berlin, Germany.
Purpose: A comprehensive return on investment (ROI) calculator was developed to evaluate the monetary and nonmonetary benefits of an artificial intelligence (AI)-powered radiology diagnostic imaging platform to inform decision makers interested in adopting AI.
Methods: A calculator was constructed to calculate comparative costs, estimated revenues, and quantify the clinical value of using an AI platform compared with no use of AI in radiology workflows of a US hospital over a 5-year time horizon. Parameters were determined on the basis of expert interviews and a literature review.
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