To be published online Monday, March 3, a special issue of the Journal of the American College of Radiology (JACR) focuses on improving the safety of computed tomography (CT) exams through careful radiation dose optimization. The issue was guest edited by Rebecca Smith-Bindman, M.D., from the University of California San Francisco, and John M. Boone, Ph.D., from the University of California Davis.
Dose Is Not Always What It Seems: Where Very Misleading Values Can Result From Volume CT Dose Index and Dose Length Product J. Anthony Seibert, Ph.D; John M. Boone, Ph.D.
CTDIvol is not the radiation dose that the patient receives from a CT exam. The authors explain why patient size must be considered when estimating patient dose.
Content and Style of Radiation Risk Communication for Pediatric Patients Joshua S. Broder, M.D.; Donald P. Frush, M.D.
Communication of radiation risks from diagnostic imaging of children requires a shared and defined responsibility between health care professionals, including the ordering physician and imaging experts such as radiologists.
Improving the Application of Imaging Clinical Decision Support Tools: Making the Complex Simple Joshua S. Broder, M.D.; Safwan S. Halabi, M.D.
Optimal decision support tools could improve the appropriate use of diagnostic imaging by the automatic incorporation of data from the electronic medical record into evidence-based diagnostic algorithms tailored to individual patients.
CT Protocol Review and Optimization James M. Kofler, Ph.D.; Dianna D. Cody, Ph.D.; Richard L. Morin, Ph.D.
The authors describe methods for pinpointing deficiencies in CT protocols and provide a systematic approach for optimizing protocols.
CTSim: An Interactive Computer Simulation to Learn the Fundamentals of CT Dose Optimization Cindy S. Lee, M.D.; Erika Bildsten Reinhardt, B.S.; Rebecca Smith-Bindman, M.D.
CTSim represents a unique educational approach to help you understand how to optimize CT protocols for diagnostic quality and patient safety.
|Contact: Heather Williams|
American College of Radiology