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Related Concept Videos

Quality Assurance01:19

Quality Assurance

168
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
168
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

778
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
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Quality Control01:05

Quality Control

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Production Efficiency01:01

Production Efficiency

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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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Multimachine Stability01:25

Multimachine Stability

208
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Machines01:19

Machines

312
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for CuIn,GaSe2 Solar Cells
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Daily Quality Assurance Efficiency Evaluation Using SunCHECK Machine and Machine Performance Check.

Cassandra Stambaugh1, Jessica Yancey1, Utkarsh Shukla1

  • 1Radiation Oncology, Tufts Medical Center, Boston, USA.

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|April 4, 2023
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Summary

A web-based quality assurance (QA) platform (SunCHECK Machine) and a vendor-dependent system (Machine Performance Check) were compared for daily linear accelerator (LINAC) QA. Both systems efficiently verify LINAC performance, with MPC serving as a valuable backup.

Keywords:
daily quality assuranceefficiencyexternal beam radiation therapymethods for quality assurancequality assurancequality assurance & improvement

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Assurance

Background:

  • Daily quality assurance (QA) is critical for linear accelerator (LINAC) performance and patient safety in radiation oncology.
  • Evaluating the efficiency and accuracy of different QA platforms is essential for optimizing clinical workflows.
  • Task Group report 142 (TG-142) provides guidelines for essential LINAC QA tests.

Purpose of the Study:

  • To compare the time efficiency, applicability, and accuracy of a web-based, independent QA platform (SunCHECK Machine - SCM) versus a vendor-dependent system check (Machine Performance Check - MPC) for daily LINAC QA.
  • To assess the suitability of SCM and MPC for meeting TG-142 compliance and for daily output verification.

Main Methods:

  • Daily QA was performed on a single LINAC for three months using both SCM and MPC.
  • Tests included dosimetry, imaging (planar kV & MV, kV cone-beam CT), and mechanical/safety checks.
  • Time taken for each platform, usability, features, and output accuracy against monthly standards were evaluated.

Main Results:

  • SCM averaged 22 minutes (SD=6) and MPC averaged 15 minutes (SD=3) for daily QA.
  • MPC output results showed a mean disagreement of -1.41% with SCM after three months, potentially due to coupled beam output and profile changes.
  • SCM tests were more aligned with TG-142, while MPC proved useful as a secondary backup for daily output verification.

Conclusions:

  • A comprehensive TG-142 daily QA can be effectively implemented using SCM.
  • MPC can be integrated as a beneficial tool and backup for output verification, enhancing the overall QA process efficiency.
  • Understanding the limitations of each system is crucial for optimal implementation in clinical practice.