Control chart analysis of data from a multicenter monitor unit verification study.
Nordström, Fredrik LU ; Af Wetterstedt, Sacha ; Johnsson, Stefan ; Ceberg, Crister LU
and Bäck, Sven
LU
(2012)
In Radiotherapy and Oncology
102(3).
p.364-370
- Abstract
- BACKGROUND AND PURPOSE: This study aims to investigate the process of monitor unit verification using control charts. Control charts is a key tool within statistical process control (SPC), through which process characteristics can be visualized, usually chronologically with statistically determined limits. MATERIAL AND METHODS: Our group has developed a monitor unit verification software that has been adopted at several Swedish institutions for pre-treatment verification of radiotherapy treatments. Deviations between point dose calculations using the treatment planning systems and using the independent monitor unit verification software from 9219 treatment plans and five different institutions were included in this multicenter study. The... (More)
- BACKGROUND AND PURPOSE: This study aims to investigate the process of monitor unit verification using control charts. Control charts is a key tool within statistical process control (SPC), through which process characteristics can be visualized, usually chronologically with statistically determined limits. MATERIAL AND METHODS: Our group has developed a monitor unit verification software that has been adopted at several Swedish institutions for pre-treatment verification of radiotherapy treatments. Deviations between point dose calculations using the treatment planning systems and using the independent monitor unit verification software from 9219 treatment plans and five different institutions were included in this multicenter study. The process of monitor unit verification was divided into subprocesses. Each subprocess was analyzed using probability plots and control charts. RESULTS: Differences in control chart parameters for the investigated subprocesses were found between different treatment sites and different institutions, as well as between different treatment techniques. 19 of 37 subprocesses met the clinical specification (±5%), i.e. process capability index was equal to or above one. CONCLUSIONS: Control charts were found to be a useful tool for continuous analysis of data from the monitor unit verification software for patient specific quality control, as well as for comparisons between different institutions and treatment sites. The derived control chart limits were in agreement with AAPM TG114 guidelines on action levels. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2336472
- author
- Nordström, Fredrik
LU
; Af Wetterstedt, Sacha
; Johnsson, Stefan
; Ceberg, Crister
LU
and Bäck, Sven
LU
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Radiotherapy and Oncology
- volume
- 102
- issue
- 3
- pages
- 364 - 370
- publisher
- Elsevier
- external identifiers
-
- wos:000302048900007
- pmid:22239866
- scopus:84857915956
- ISSN
- 1879-0887
- DOI
- 10.1016/j.radonc.2011.11.016
- language
- English
- LU publication?
- yes
- id
- 5394df69-34e7-4885-a9e5-b0097632577e (old id 2336472)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/22239866?dopt=Abstract
- date added to LUP
- 2016-04-04 08:55:14
- date last changed
- 2022-04-23 18:26:00
@article{5394df69-34e7-4885-a9e5-b0097632577e,
abstract = {{BACKGROUND AND PURPOSE: This study aims to investigate the process of monitor unit verification using control charts. Control charts is a key tool within statistical process control (SPC), through which process characteristics can be visualized, usually chronologically with statistically determined limits. MATERIAL AND METHODS: Our group has developed a monitor unit verification software that has been adopted at several Swedish institutions for pre-treatment verification of radiotherapy treatments. Deviations between point dose calculations using the treatment planning systems and using the independent monitor unit verification software from 9219 treatment plans and five different institutions were included in this multicenter study. The process of monitor unit verification was divided into subprocesses. Each subprocess was analyzed using probability plots and control charts. RESULTS: Differences in control chart parameters for the investigated subprocesses were found between different treatment sites and different institutions, as well as between different treatment techniques. 19 of 37 subprocesses met the clinical specification (±5%), i.e. process capability index was equal to or above one. CONCLUSIONS: Control charts were found to be a useful tool for continuous analysis of data from the monitor unit verification software for patient specific quality control, as well as for comparisons between different institutions and treatment sites. The derived control chart limits were in agreement with AAPM TG114 guidelines on action levels.}},
author = {{Nordström, Fredrik and Af Wetterstedt, Sacha and Johnsson, Stefan and Ceberg, Crister and Bäck, Sven}},
issn = {{1879-0887}},
language = {{eng}},
number = {{3}},
pages = {{364--370}},
publisher = {{Elsevier}},
series = {{Radiotherapy and Oncology}},
title = {{Control chart analysis of data from a multicenter monitor unit verification study.}},
url = {{http://dx.doi.org/10.1016/j.radonc.2011.11.016}},
doi = {{10.1016/j.radonc.2011.11.016}},
volume = {{102}},
year = {{2012}},
}