Coverage-based treatment planning to accommodate delineation uncertainties in prostate cancer treatment

被引:7
作者
Xu, Huijun [1 ,2 ]
Gordon, J. James [3 ]
Siebers, Jeffrey V. [1 ,4 ]
机构
[1] Virginia Commonwealth Univ, Dept Radiat Oncol, Richmond, VA 23298 USA
[2] Univ Maryland, Dept Radiat Oncol, Baltimore, MD 21201 USA
[3] Henry Ford Hlth Syst, Dept Radiat Oncol, Detroit, MI 48202 USA
[4] Univ Virginia, Dept Radiat Oncol, Charlottesville, VA 22908 USA
关键词
coverage; treatment planning; IMRT optimization; delineation uncertainties; prostate cancer; IMRT TREATMENT PLANS; SEMINAL-VESICLES; RADIOTHERAPY; MARGINS; TARGET; PROBABILITY; DEFINITION; SIMULATION; ACCURACY; ERRORS;
D O I
10.1118/1.4928490
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To compare two coverage-based planning (CP) techniques with fixed margin-based (FM) planning for high-risk prostate cancer treatments, with the exclusive consideration of the dosimetric impact of delineation uncertainties of target structures and normal tissues. Methods: In this work, 19-patient data sets were involved. To estimate structure dose for each delineated contour under the influence of interobserver contour variability and CT image quality limitations, 1000 alternative structures were simulated by an average-surface-of-standard-deviation model, which utilized the patient-specific information of delineated structure and CT image contrast. An IMRT plan with zero planning-target-volume (PTV) margin on the delineated prostate and seminal vesicles [clinical-target-volume (CTVprostate) and CTVSV] was created and dose degradation due to contour variability was quantified by the dosimetric consequences of 1000 alternative structures. When D-98 failed to achieve a 95% coverage probability objective D-98,D-95 >= 78 Gy (CTVprostate) or D-98,D-95 >= 66 Gy (CTVSV), replanning was performed using three planning techniques: (1) FM (PTVprostate margin = 4,5,6 mm and PTVSV margin = 4,5,7 mm for RL, PA, and SI directions, respectively), (2) CPOM which optimized uniform PTV margins for CTVprostate and CTVSV to meet the D-98,D-95 objectives, and (3) CPCOP which directly optimized coverage-based objectives for all the structures. These plans were intercompared by computing percentile dose-volume histograms and tumor-control probability/normal tissue complication probability (TCP/NTCP) distributions. Results: Inherent contour variability resulted in unacceptable CTV coverage for the zero-PTV-margin plans for all patients. For plans designed to accommodate contour variability, 18/19 CP plans were most favored by achieving desirable D-98,D-95 and TCP/NTCP values. The average improvement of probability of complication free control was 9.3% for CPCOP plans and 3.4% for CPOM plans. Conclusions: When the delineation uncertainties need to be considered for prostate patients, CP techniques can produce more desirable plans than FM plans for most patients. The relative advantages between CPCOP and CPOM techniques are patient specific. (C) 2015 American Association of Physicists in Medicine.
引用
收藏
页码:5435 / 5443
页数:9
相关论文
共 33 条
[11]   Accuracy in contouring of small and low contrast lesions: Comparison between diagnostic quality computed tomography scanner and computed tomography simulation scanner-A phantom study [J].
Ho, Yick Wing ;
Wong, Wing Kei Rebecca ;
Yu, Siu Ki ;
Lam, Wai Wang ;
Geng, Hui .
MEDICAL DOSIMETRY, 2012, 37 (04) :401-405
[12]   A qualitative and a quantitative analysis of an auto-segmentation module for prostate cancer [J].
Huyskens, Dominique P. ;
Maingon, Philippe ;
Vanuytsel, Luc ;
Remouchamps, Vincent ;
Roques, Tom ;
Dubray, Bernard ;
Haas, Benjamin ;
Kunz, Patrik ;
Coradi, Thomas ;
Buehlman, Rene ;
Reddick, Robin ;
Van Esch, Ann ;
Salamon, Emile .
RADIOTHERAPY AND ONCOLOGY, 2009, 90 (03) :337-345
[13]  
ICRU, 2000, 62 ICRU
[14]  
ICRU, 1994, 50 ICRU
[15]   The use of probability maps to deal with the uncertainties in prostate cancer delineation [J].
Korporaal, Johannes G. ;
van den Berg, Cornelis A. T. ;
Groenendaal, Greetje ;
Moman, Maaike R. ;
van Vulpen, Marco ;
van der Heide, Uulke A. .
RADIOTHERAPY AND ONCOLOGY, 2010, 94 (02) :168-172
[16]   Margins for geometric uncertainty around organs at risk in radiotherapy [J].
McKenzie, A ;
van Herk, M ;
Mijnheer, B .
RADIOTHERAPY AND ONCOLOGY, 2002, 62 (03) :299-307
[17]   Tumor delineation: The weakest link in the search for accuracy in radiotherapy [J].
Njeh, C. F. .
JOURNAL OF MEDICAL PHYSICS, 2008, 33 (04) :136-140
[18]   IGRT has limited clinical value due to lack of accurate tumor delineation [J].
Njeh, Christopher F. ;
Dong, Lei ;
Orton, Colin G. .
MEDICAL PHYSICS, 2013, 40 (04)
[19]   Inter- and intraobserver variation in HR-CTV contouring: Intercomparison of transverse and paratransverse image orientation in 3D-MRI assisted cervix cancer brachytherapy [J].
Petric, Primoz ;
Dimopoulos, Johannes ;
Kirisits, Christian ;
Berger, Daniet ;
Hudej, Robert ;
Poetter, Richard .
RADIOTHERAPY AND ONCOLOGY, 2008, 89 (02) :164-171
[20]   Definition of the prostate in CT and MRI: A multi-observer study [J].
Rasch, C ;
Barillot, I ;
Remeijer, P ;
Touw, A ;
van Herk, M ;
Lebesque, JV .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1999, 43 (01) :57-66