Universität zu Köln

von Muenchow, Asmus, Straub, Katrin, Losert, Christoph, Shpani, Roel, Hofmaier, Jan, Freislederer, Philipp, Heinz, Christian, Thieke, Christian, Sohn, Matthias, Alber, Markus, Floca, Ralf, Belka, Claus, Parodi, Katia, Reiner, Michael and Kamp, Florian (2022). Statistical breathing curve sampling to quantify interplay effects of moving lung tumors in a 4D Monte Carlo dose calculation framework. Phys. Medica, 101. S. 104 - 112. OXFORD: ELSEVIER SCI LTD. ISSN 1724-191X

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Abstract

Purpose: The interplay between respiratory tumor motion and dose application by intensity modulated radio-therapy (IMRT) techniques can potentially lead to undesirable and non-intuitive deviations from the planned dose distribution. We developed a 4D Monte Carlo (MC) dose recalculation framework featuring statistical breathing curve sampling, to precisely simulate the dose distribution for moving target volumes aiming at a comprehensive assessment of interplay effects. Methods: We implemented a dose accumulation tool that enables dose recalculations of arbitrary breathing curves including the actual breathing curve of the patient. This MC dose recalculation framework is based on linac log-files, facilitating a high temporal resolution up to 0.1 s. By statistical analysis of 128 different breathing curves, interplay susceptibility of different treatment parameters was evaluated for an exemplary patient case. To facilitate prospective clinical application in the treatment planning stage, in which patient breathing curves or linac log-files are not available, we derived a log-file free version with breathing curves generated by a random walk approach. Interplay was quantified by standard deviations sigma in D-5%, D(50% )and D-95%. Results: Interplay induced dose deviations for single fractions were observed and evaluated for IMRT and volumetric arc therapy (sigma(D95%) up to 1.3 %) showing a decrease with higher fraction doses and an increase with higher MU rates. Interplay effects for conformal treatment techniques were negligible (sigma < 0.1%). The log-file free version and the random walk generated breathing curves yielded similar results (deviations in sigma < 0.1 %) and can be used as substitutes for interplay assessment. Conclusion: It is feasible to combine statistically sampled breathing curves with MC dose calculations. The universality of the presented framework allows comprehensive assessment of interplay effects in retrospective and prospective clinically relevant scenarios.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code von Muenchow, Asmus UNSPECIFIED UNSPECIFIED UNSPECIFIED Straub, Katrin UNSPECIFIED UNSPECIFIED UNSPECIFIED Losert, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Shpani, Roel UNSPECIFIED UNSPECIFIED UNSPECIFIED Hofmaier, Jan UNSPECIFIED UNSPECIFIED UNSPECIFIED Freislederer, Philipp UNSPECIFIED UNSPECIFIED UNSPECIFIED Heinz, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED Thieke, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED Sohn, Matthias UNSPECIFIED UNSPECIFIED UNSPECIFIED Alber, Markus UNSPECIFIED UNSPECIFIED UNSPECIFIED Floca, Ralf UNSPECIFIED UNSPECIFIED UNSPECIFIED Belka, Claus UNSPECIFIED UNSPECIFIED UNSPECIFIED Parodi, Katia UNSPECIFIED UNSPECIFIED UNSPECIFIED Reiner, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Kamp, Florian UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-688399
DOI:	10.1016/j.ejmp.2022.07.006
Journal or Publication Title:	Phys. Medica
Volume:	101
Page Range:	S. 104 - 112
Date:	2022
Publisher:	ELSEVIER SCI LTD
Place of Publication:	OXFORD
ISSN:	1724-191X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MODULATED ARC THERAPY; RESPIRATORY MOTION; DOSIMETRIC IMPACT; DELIVERY; RADIOTHERAPY; RECONSTRUCTION; VALIDATION; MANAGEMENT; SCANS Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/68839