Use of statistical approaches to improve the quality control of
the dose delivery in radiotherapy

J 2019

Use of statistical approaches to improve the quality control of the dose delivery in radiotherapy

TULIK, M., D. KABAT, M. BARAN, Radoslaw Antoni KYCIA, Z. TABOR et. al.

Základní údaje

Originální název

Use of statistical approaches to improve the quality control of the dose delivery in radiotherapy

Autoři

TULIK, M., D. KABAT, M. BARAN, Radoslaw Antoni KYCIA a Z. TABOR

Vydání

PHYSICS IN MEDICINE AND BIOLOGY, BRISTOL, IOP PUBLISHING LTD, 2019, 0031-9155

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10102 Applied mathematics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.883

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.1088/1361-6560/ab25ab

UT WoS

000476529600002

Klíčová slova anglicky

quality assurance; plan verification; gamma index

Štítky

RIV ne

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 3. 3. 2021 12:14, Mgr. Marie Šípková, DiS.

Anotace

V originále

The gamma index is a measure used routinely for the quality control of dose delivery in radiotherapy, implemented in commercial systems for the verification of treatment plans. It involves comparison of the difference between planned and delivered doses to a single reference. The same reference value is selected for all points in the plan that can potentially hide dose delivery errors, especially in medium and low dose areas. In this study, a receiver operating characteristic analysis is used to demonstrate the limits of the performance of the global gamma index as a method for detecting dose delivery errors. The performance of a global gamma index is compared with two approaches based on statistical tests for outlier detection. Two statistical approaches are considered: according to the first, the distribution of the delivered doses is estimated based on an appropriate calibration procedure. According to the second, the distribution of the delivered doses is estimated based on the detection of relatively homogeneous regions of a plan and analyzing the distributions of planned doses within these regions. The performance of the three approaches is compared based on analytical considerations and in simulations in which errors are intentionally introduced to the plan delivery and noise related to dose delivery is modeled. We have shown that a statistics-based approach to gamma analysis generally leads to better detection of true delivery errors. The results of analytical consideration coincide with the simulations. In simulations, we observe that both statistical approaches are better detectors of true delivery errors than the global method for the gamma-index passing rate in the range from 0.9-1.0. It is shown that the global gamma index is a weak detector of dose delivery errors, which in some circumstances behaves only slightly better than a purely random classifier.

Citovat

TULIK, M., D. KABAT, M. BARAN, Radoslaw Antoni KYCIA a Z. TABOR. Use of statistical approaches to improve the quality control of the dose delivery in radiotherapy. PHYSICS IN MEDICINE AND BIOLOGY. BRISTOL: IOP PUBLISHING LTD, 2019, roč. 64, č. 14, s. 1-14. ISSN 0031-9155. Dostupné z: https://dx.doi.org/10.1088/1361-6560/ab25ab.

@article{1645961,
   author = {Tulik, M. and Kabat, D. and Baran, M. and Kycia, Radoslaw Antoni and Tabor, Z.},
   article_location = {BRISTOL},
   article_number = {14},
   doi = {http://dx.doi.org/10.1088/1361-6560/ab25ab},
   keywords = {quality assurance; plan verification; gamma index},
   language = {eng},
   issn = {0031-9155},
   journal = {PHYSICS IN MEDICINE AND BIOLOGY},
   note = {Žádný z autorů nemá afiliaci na MU.},
   title = {Use of statistical approaches to improve the quality control of the dose delivery in radiotherapy},
   url = {https://iopscience.iop.org/article/10.1088/1361-6560/ab25ab},
   volume = {64},
   year = {2019}
}

TY  - JOUR
ID  - 1645961
AU  - Tulik, M. - Kabat, D. - Baran, M. - Kycia, Radoslaw Antoni - Tabor, Z.
PY  - 2019
TI  - Use of statistical approaches to improve the quality control of the dose delivery in radiotherapy
JF  - PHYSICS IN MEDICINE AND BIOLOGY
VL  - 64
IS  - 14
SP  - 1-14
EP  - 1-14
PB  - IOP PUBLISHING LTD
SN  - 00319155
N1  - Žádný z autorů nemá afiliaci na MU.
KW  - quality assurance
KW  - plan verification
KW  - gamma index
UR  - https://iopscience.iop.org/article/10.1088/1361-6560/ab25ab
L2  - https://iopscience.iop.org/article/10.1088/1361-6560/ab25ab
N2  - The gamma index is a measure used routinely for the quality control of dose delivery in radiotherapy, implemented in commercial systems for the verification of treatment plans. It involves comparison of the difference between planned and delivered doses to a single reference. The same reference value is selected for all points in the plan that can potentially hide dose delivery errors, especially in medium and low dose areas. In this study, a receiver operating characteristic analysis is used to demonstrate the limits of the performance of the global gamma index as a method for detecting dose delivery errors. The performance of a global gamma index is compared with two approaches based on statistical tests for outlier detection. Two statistical approaches are considered: according to the first, the distribution of the delivered doses is estimated based on an appropriate calibration procedure. According to the second, the distribution of the delivered doses is estimated based on the detection of relatively homogeneous regions of a plan and analyzing the distributions of planned doses within these regions. The performance of the three approaches is compared based on analytical considerations and in simulations in which errors are intentionally introduced to the plan delivery and noise related to dose delivery is modeled. We have shown that a statistics-based approach to gamma analysis generally leads to better detection of true delivery errors. The results of analytical consideration coincide with the simulations. In simulations, we observe that both statistical approaches are better detectors of true delivery errors than the global method for the gamma-index passing rate in the range from 0.9-1.0. It is shown that the global gamma index is a weak detector of dose delivery errors, which in some circumstances behaves only slightly better than a purely random classifier.
ER  -

TULIK, M., D. KABAT, M. BARAN, Radoslaw Antoni KYCIA a Z. TABOR. Use of statistical approaches to improve the quality control of the dose delivery in radiotherapy. \textit{PHYSICS IN MEDICINE AND BIOLOGY}. BRISTOL: IOP PUBLISHING LTD, 2019, roč.~64, č.~14, s.~1-14. ISSN~0031-9155. Dostupné z: https://dx.doi.org/10.1088/1361-6560/ab25ab.

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