Vol 25, No 1 (2020)
Original research articles
Published online: 2020-01-01

open access

Page views 279
Article views/downloads 355
Get Citation

Connect on Social Media

Connect on Social Media

Retrospective study on performance of constancy check device in Linac beam monitoring using Statistical Process Control

Bipasha Pal1, Angshuman Pal2, Suresh Das1, Soura Palit1, Papai Sarkar1, Subhayan Mondal1, Suman Mallik1, Jyotirup Goswami1, Sayan Das1, Arijit Sen1, Monidipa Mondol1
DOI: 10.1016/j.rpor.2019.12.004
Rep Pract Oncol Radiother 2020;25(1):91-99.

Abstract

Aim

To examine the application of Statistical Process Control (SPC) and Ishikawa diagrams for retrospective evaluation of machine Quality Assurance (QA) performance in radiotherapy

Background

SPC is a popular method for supplementing the performance of QA techniques in healthcare. This work investigates the applicability of SPC techniques and Ishikawa charts in machine QA.

Materials and Methods

SPC has been applied to recommend QA limits on the particular beam parameters using the QUICKCHECKwebline QA portable constancy check device for 6[[!--[[Diff id="80"/]]--]]MV and 10MV flattened photon beams from the Elekta Versa HD linear accelerator (Linac). Four machine QA parameters – beam flatness, beam symmetry along gun target direction and left-right direction, and beam quality factor (BQF) – were selected for retrospective analysis. Shewhart charts, Exponentially Weighted Moving Average (EWMA) charts and Cumulative Sum (CUSUM) charts were obtained for each parameter. The root causes for a failure in machine QA were broken down into an Ishikawa diagram enabling the user to identify the root cause of error and rectify the problem subsequently.

Results

Shewhart charts and EWMA charts applied could detect loss in control in one variable in the 6[[!--[[Diff id="81"/]]--]]MV beams and in all four variables in 10[[!--[[Diff id="82"/]]--]]MV beams. CUSUM charts detected offsets in the readings. The Ishikawa chart exhaustively included the possible errors that lead to loss of control.

Conclusion

SPC is proven to be effective for detection of loss in control in machine QA. The Ishikawa chart provides the set of probable root causes of machine error useful while troubleshooting.

Article available in PDF format

View PDF Download PDF file



Reports of Practical Oncology and Radiotherapy