Contouring variation affects estimates of normal tissue complication probability for breast fibrosis after radiotherapy

被引:2
作者
Jaikuna, Tanwiwat [1 ,2 ]
Osorio, Eliana Vasquez [1 ]
Azria, David [3 ]
Chang-Claude, Jenny [4 ,5 ]
De Santis, Maria Carmen [6 ]
Gutierrez-Enriquez, Sara [7 ]
van Herk, Marcel [1 ]
Hoskin, Peter [1 ]
Lambrecht, Maarten [8 ]
Lingard, Zoe [1 ]
Seibold, Petra [4 ]
Seoane, Alejandro [9 ]
Sperk, Elena [10 ]
Symonds, R. Paul [11 ]
Talbot, Christopher J. [11 ]
Rancati, Tiziana [12 ]
Rattay, Tim [11 ]
Reyes, Victoria [13 ]
Rosenstein, Barry S. [14 ]
de Ruysscher, Dirk [15 ]
Vega, Ana [16 ,17 ,18 ]
Veldeman, Liv [19 ]
Webb, Adam [20 ]
West, Catharine M. L. [1 ]
Aznar, Marianne C. [1 ]
机构
[1] Univ Manchester, Christie NHS Fdn Trust Hosp, Fac Biol, Div Canc Sci,Sch Med Sci, Manchester, Lancs, England
[2] Mahidol Univ, Fac Med, Dept Radiol, Div Radiat Oncol,Siriraj Hosp, Bangkok, Thailand
[3] Univ Montpellier, Montpellier Canc Inst, Dept Radiat Oncol, Inserm,U1194, Montpellier, France
[4] German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany
[5] Univ Med Ctr Hamburg Eppendorf, Univ Canc Ctr Hamburg UCCH, Hamburg, Germany
[6] Fdn IRCCS Ist Nazl Tumori, Radiat Oncol, Milan, Italy
[7] Vall dHebron Inst Oncol VHIO, Hereditary Canc Genet Grp, Vall dHebron Hosp Campus, Barcelona, Spain
[8] Katholieke Univ Leuven, Dept Radiat Oncol, Leuven, Belgium
[9] Vall dHebron Hosp Univ, Med Phys Dept, Vall dHebron Barcelona Hosp Campus, Barcelona, Spain
[10] Heidelberg Univ, Med Fac Mannheim, Mannheim Canc Ctr, Dept Radiat Oncol, Mannheim, Germany
[11] Univ Leicester, Leicester Canc Res Ctr, Leicester, Leics, England
[12] Fdn IRCCS Ist Nazl Tumori, Data Sci Unit, Milan, Italy
[13] Vall dHebron Hosp Univ, Radiat Oncol Dept, Vall dHebron Barcelona Hosp Campus, Barcelona, Spain
[14] Icahn Sch Med Mt Sinai, Dept Radiat Oncol, Dept Genet & Genom Sci, New York, NY USA
[15] Maastricht Univ, GROW Sch Oncol & Dev Biol, Dept Radiat Oncol, Maastro Clin,Med Ctr, Maastricht, Netherlands
[16] USC, Grp Med Xen, Fdn Publ Galega Med Xen, Santiago De Compostela, Spain
[17] Inst Invest Sanitaria, Santiago De Compostela, Spain
[18] Biomed Network Rare Dis CIBERER, Madrid, Spain
[19] Ghent Univ Hosp, Dept Radiat Oncol, Ghent, Belgium
[20] Univ Leicester, Dept Genet & Genome Biol, Leicester, Leics, England
基金
英国工程与自然科学研究理事会;
关键词
Radiotherapy; Inter-observer variation; Late effects; Fibrosis; Breast cancer; NTCP modelling; RADIATION-THERAPY; DOSE-RESPONSE; CANCER; DELINEATION; SEGMENTATION; TOXICITY; TARGET; RISK; UNCERTAINTIES; GUIDELINE;
D O I
10.1016/j.breast.2023.103578
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Normal tissue complication probability (NTCP) models can be useful to estimate the risk of fibrosis after breast-conserving surgery (BCS) and radiotherapy (RT) to the breast. However, they are subject to un-certainties. We present the impact of contouring variation on the prediction of fibrosis. Materials and methods: 280 breast cancer patients treated BCS-RT were included. Nine Clinical Target Volume (CTV) contours were created for each patient: i) CTV_crop (reference), cropped 5 mm from the skin and ii) CTV_skin, uncropped and including the skin, iii) segmenting the 95% isodose (Iso95%) and iv) 3 different auto-contouring atlases generating uncropped and cropped contours (Atlas_skin/Atlas_crop). To illustrate the impact of contour variation on NTCP estimates, we applied two equations predicting fibrosis grade >= 2 at 5 years, based on Lyman-Kutcher-Burman (LKB) and Relative Seriality (RS) models, respectively, to each contour. Differences were evaluated using repeated-measures ANOVA. For completeness, the association between observed fibrosis events and NTCP estimates was also evaluated using logistic regression.
引用
收藏
页数:9
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