SU-E-T-246: Practical Quality Assurance for Image-Guided Robotic Brachytherapy System

2011 ◽  
Vol 38 (6Part14) ◽  
pp. 3543-3543
Author(s):  
I Buzurovic ◽  
T Podder ◽  
Y Yu
Keyword(s):  
Quality Assurance ◽  
Image Guided

Image-guided in vivo dosimetry for quality assurance of IMRT treatment for prostate cancer

2007 ◽  
Vol 67 (1) ◽  
pp. 288-295 ◽  
Author(s):  
Hansjoerg Wertz ◽  
Judit Boda-Heggemann ◽  
Cornelia Walter ◽  
Barbara Dobler ◽  
Sabine Mai ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Quality Assurance ◽  
In Vivo Dosimetry ◽  
Image Guided

scholarly journals A novel compound 6D-offset simulating phantom and quality assurance program for stereotactic image-guided radiation therapy system

2013 ◽  
Vol 14 (6) ◽  
pp. 100-116 ◽  
Author(s):  
Dennis Yuen-Kan Ngar ◽  
Michael Lok-Man Cheung ◽  
Michael Koon-Ming Kam ◽  
Wai-Sang Poon ◽  
Anthony Tak-Cheung Chan
Keyword(s):  
Quality Assurance ◽  
Radiation Therapy ◽  
Quality Assurance Program ◽  
Image Guided Radiation Therapy ◽  
Image Guided

scholarly journals 4:12 PM Abstract No. 149 Development of an automated system for quality assurance of image-guided biopsies

2018 ◽  
Vol 29 (4) ◽  
pp. S67
Author(s):  
J. Chen ◽  
D. Lalevic ◽  
X. Zhang ◽  
J. Wildenberg ◽  
S. Trerotola ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Automated System ◽  
Image Guided

TU-E-BRB-11: End-To-End Positioning Quality Assurance for Image-Guided Radiosurgery of Multiple Targets Using a Single-Isocenter

2012 ◽  
Vol 39 (6Part24) ◽  
pp. 3910-3910
Author(s):  
R Popple ◽  
J Fiveash ◽  
J Duan ◽  
X Wu ◽  
S Shen ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Multiple Targets ◽  
Image Guided ◽  
End To End ◽  
Single Isocenter

A 3D printed modular phantom for quality assurance of image‐guided small animal irradiators: Design, imaging experiments, and Monte Carlo simulations

2019 ◽  
Vol 46 (5) ◽  
pp. 2015-2024 ◽  
Author(s):  
Dylan Yamabe Breitkreutz ◽  
Spencer Bialek ◽  
Boris Vojnovic ◽  
Anthony Kavanagh ◽  
Christopher D. Johnstone ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Quality Assurance ◽  
Monte Carlo Simulations ◽  
Small Animal ◽  
Image Guided ◽  
3D Printed

A breast analytics dashboard to allow near-real-time visualization of quality assurance data.

2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 186-186
Author(s):  
Mia Alyce Levy ◽  
Jeremy Warner ◽  
Neal Sanders ◽  
Pam Carney ◽  
Joy Pratt ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Real Time ◽  
Clinical Data ◽  
Breast Biopsy ◽  
Pilot Project ◽  
Quality Reporting ◽  
Image Guided ◽  
Time Period ◽  
National Quality ◽  
Clinical Systems

186 Background: Quality metrics for internal use (e.g. quality improvement; quality assurance [QA/QI] activities) and external use (e.g. accreditation; national quality reporting) are currently primarily obtained through retrospective manual data abstraction on subsets of patients, at a majority of cancer centers. Real-time QA/QI of all patients is attractive but requires collection of electronic data from disparate clinical systems that are rarely fully interoperable. We developed a dashboard to aggregate relevant clinical information in near real-time for QA/QI visualizations. Methods: Tableau® software was used to visualize data from multiple clinical systems at Vanderbilt University Medical Center (VUMC). Custom extract, transform, and load (ETL) processes were developed to collect radiology, pathology, professional billing, and clinical data on a daily basis. An integrated dashboard was developed through an iterative process involving physicians, nurses, and software engineers. As a pilot project, data from all patients with an image-guided breast biopsy obtained at VUMC from 2009-2013 was visualized. Results: 4177 biopsies were included in the visualized cohort as of June 2014. 3,210 (77%) of the biopsies were preceded by a BiRADS 4 or 5 mammogram. The annual biopsy rate increased by 51% over the time period. Despite this increase in volume, the median number of weekdays from BiRADS 4 or 5 mammogram to image-guided biopsy was stable at 5 days over the time period. Prior diagnosis status, lesion class, procedure type, and imaging exam type were also included in the dashboard. Conclusions: This pilot project demonstrates the ability to visualize near real-time clinical data for QA/QI purposes. Tableau® is interactive, so that certain patterns (e.g. the distribution of number of days from screening mammogram to biopsy) can be explored at a granular level. This functionality also allows the user to investigate why 23% of patients had no apparent imaging before biopsy. Based on a perceived pattern of delayed biopsy in certain outliers, QI efforts at VUMC are underway to ensure timely biopsy. Interactive visual dashboards such as the one described present opportunities to rapidly cycle QA findings into QI actions.

Sign in / Sign up

Export Citation Format

Share Document