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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 4 of 4 Research Studies DisplayedQiu J, Harold Li H, Zhang T
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
Insufficient image contrast associated with radiation therapy daily setup x-ray images could negatively affect accurate patient treatment setup. The study authors developed a method to perform automatic and user-independent contrast enhancement on 2D kilo voltage (kV) and megavoltage (MV) x-ray images. The study concluded that the proposed method is able to outperform the standard image contrast adjustment procedures that are currently used in the commercial clinical systems.
AHRQ-funded; HS022888.
Citation: Qiu J, Harold Li H, Zhang T .
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
J Appl Clin Med Phys 2017 Nov;18(6):218-23. doi: 10.1002/acm2.12172..
Keywords: Diagnostic Safety and Quality, Quality of Care, Imaging, Patient Safety
Guo JW, Bennett H, Crouch BI
Reference website use patterns of poison control center specialists.
The purpose of this pilot study was to describe web reference use patterns of poison control center specialists using time tracking software. Investigators analyzed two weeks of web site use data from Utah poison control center (PCC) computers to describe patterns of reference web site use. The study demonstrated the utility of time tracking software for better understanding reference utilization in the PCC setting.
AHRQ-funded; HS021472.
Citation: Guo JW, Bennett H, Crouch BI .
Reference website use patterns of poison control center specialists.
2017 IEEE International Conference on Healthcare Informatics (ICHI) 2017 Aug:453. doi: 10.1109/ICHI.2017.40..
Keywords: Patient Safety, Imaging, Quality of Care
Wang Y, Mazur TR, Park JC
Development of a fast Monte Carlo dose calculation system for online adaptive radiation therapy quality assurance.
This article describes the development of a fast Monte Carlo dose calculating system for validating online magnetic resonance imaging radiation therapy adaptive plans with both speed and accuracy. The Monte Carlo system is based on a simplified dose planning method code that incorporates a vendor-provided head model. A validated Monte Carlo code (gPENELOPE) was used to benchmark the new system.
AHRQ-funded; HS022888.
Citation: Wang Y, Mazur TR, Park JC .
Development of a fast Monte Carlo dose calculation system for online adaptive radiation therapy quality assurance.
Phys Med Biol 2017 Jun 21;62(12):4970-90. doi: 10.1088/1361-6560/aa6e38..
Keywords: Cancer, Quality of Care, Imaging
Liu S, Mazur TR, Li H
A method to reconstruct and apply 3D primary fluence for treatment delivery verification.
In this study, a method is reported to perform IMRT and VMAT treatment delivery verification using 3D volumetric primary beam fluences reconstructed directly from planned beam parameters and treatment delivery records. The goals of this paper are to demonstrate that 1) 3D beam fluences can be reconstructed efficiently, and 2) quality assurance (QA) based on the reconstructed 3D fluences is capable of detecting additional treatment delivery errors, particularly for VMAT plans.
AHRQ-funded; HS022888.
Citation: Liu S, Mazur TR, Li H .
A method to reconstruct and apply 3D primary fluence for treatment delivery verification.
J Appl Clin Med Phys 2017 Jan;18(1):128-38. doi: 10.1002/acm2.12017.
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Keywords: Patient Safety, Imaging, Cancer: Lung Cancer, Treatments, Quality of Care