A Pancreatic Enzyme Medication Self-Management Initiative
This is the seventh article in a new series about evidence-based practice (EBP) that builds on AJN's award-winning previous series—Evidence-Based Practice, Step by Step—published between 2009 and 2011 (to access the series, go to http://links.lww.com/AJN/A133). This follow-up series features exemplars illustrating the various strategies that can be used to implement EBP changes—one of the most challenging steps in the EBP process.
Publication date: Available online 13 July 2020Source: Journal of Vascular and Interventional RadiologyAuthor(s): Eric M. Chang, Narek Shaverdian, Nina Capiro, Michael L. Steinberg, Ann C. Raldow
Publication date: Available online 13 July 2020Source: Journal of Vascular and Interventional RadiologyAuthor(s): James J. Morrison, Albert Jiao, Sean Robinson, Younes Jahangiri, John A. Kaufman
Publication date: Available online 13 July 2020Source: Journal of the American College of RadiologyAuthor(s): Lori A. Deitte, Asim Z. Mian, Shadi A. Esfahani, Jiun-Yiing Hu
Publication date: Available online 13 July 2020Source: Journal of the American College of RadiologyAuthor(s): Mourão Rodrigo, Correa Diogo, Ventura Nina, Pereira Ronaldo
ConclusionsThe study suggests that EA-PM TCC cannot be diagnosed based on the classical indirect radiological signs of TCC, but can be identified by prominence of the posterior subtalar joint.
ConclusionFDG-PET/CT may steer the diagnosis (particularly thanks to a relatively high PPV and value of semiquantitative measurements), but cannot always classify vertebral bone lesions as malignant or benign with sufficient certainty. In these cases, biopsy and/or follow-up remain necessary to establish a final diagnosis.
ConclusionWe achieved promising results with this computer-aided diagnosis method that we tried to develop using convolutional neural networks based on transfer learning. This method can help clinicians for the diagnosis of hip osteoarthritis while interpreting plain pelvic radiographs, also provides assistance for a second objective interpretation. It may also reduce the need for advanced imaging methods in the diagnosis of hip osteoarthritis.
ConclusionThe shorthand bone age method and the automated algorithm produced values that are in agreement with the gold standard while reducing analysis time.