Purpose: An audit was conducted of patient schedules for computed tomography simulation (CT-Sim) scans within the Radiation Medicine Program at the Princess Margaret Cancer Centre to investigate opportunities for improved efficiencies, enhancing process, reducing rescanning rates, and decreasing wait times.
Methods And Materials: A 3-phased approach was undertaken to evaluate the current practice in the CT-Sim facility with a view toward implementing improvements. The first phase involved a review and assessment of the validity of current guidelines and protocols associated with 16 different disease sites. The second phase incorporated the use of a patient record and verification program MOSAIQ to capture the duration of each appointment. The last phase allocated additional time for patient-centered care and staff engagement.
Results: The audit revealed that efficiency could be achieved through staff training, updating protocols, and improving process coordination. With the exception of sarcoma, pediatric, and palliative patients who require unique management approaches, the duration for each CT-Sim appointment was successfully shortened for all disease sites by 22% to 33%, corresponding to a reduction of 10 to 15 minutes per appointment. Rescanning rates for patients requiring self-administered preparations before CT-Sim procedures were also significantly reduced by enhancing processes to increase patient compliance. Implementation of procedural changes resulted in an overall net gain of 3060 minutes, equivalent to 102 additional 30-minute CT-Sim appointment slots available for each month.
Conclusions: This retrospective evaluation, review, and optimization of CT-Sim guidelines and practices identified opportunities to shorten appointment timeslots, and reduce rescanning rates for CT-Sim procedures, thereby significantly shortening wait times and improving access to service for our patients.
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http://dx.doi.org/10.1016/j.prro.2016.06.007 | DOI Listing |
J Cardiovasc Comput Tomogr
October 2024
Division of Cardiovascular Medicine, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA; Division of Noninvasive Cardiovascular Imaging, Department of Radiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, VA, USA. Electronic address:
Radiol Imaging Cancer
November 2024
From the Molecular Imaging Branch (E.C.Y., S.A.H., M.J.B., Y.L., D.G.G., K.B.O., N.S.L., P.E., P.L.C., B.T.), Biometric Research Program, Division of Cancer Treatment and Diagnosis (E.P.H.), Center for Interventional Oncology (L.A.H., C.G., B.J.W.), Department of Radiology, Clinical Center (L.A.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.); and NVIDIA Corporation, Santa Clara, Calif (D.Y., Z.X., J.T., D.X.).
Cereb Cortex
October 2024
Department of Radiology, and Functional and Molecular Imaging key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Guoxuexiang 37#, Wuhou, Chengdu 610041, China.
Radiat Oncol
September 2024
Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashiogu, Arakawa, Tokyo, 116-8551, Japan.
Background: The interaction between breathing motion and scanning beams causes interplay effects in spot-scanning proton therapy for lung cancer, resulting in compromised treatment quality. This study investigated the effects and clinical robustness of two types of spot-scanning proton therapy with motion-mitigation techniques for locally advanced non-small cell lung cancer (NSCLC) using a new simulation tool (4DCT-based dose reconstruction).
Methods: Three-field single-field uniform dose (SFUD) and robustly optimized intensity-modulated proton therapy (IMPT) plans combined with gating and re-scanning techniques were created using a VQA treatment planning system for 15 patients with locally advanced NSCLC (70 GyRBE/35 fractions).
Neuroimage
September 2024
Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy; Siena Imaging S.r.l., Siena, Italy. Electronic address:
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