Is accurate contouring of salivary and swallowing structures necessary to spare them in head and neck VMAT plans?

被引:15
作者
Delaney, Alexander R. [1 ]
Dahele, Max [1 ]
Slotman, Ben J. [1 ]
Verbakel, Wilko F. A. R. [1 ]
机构
[1] Vrije Univ Amsterdam Med Ctr, Canc Ctr Amsterdam, Dept Radiat Oncol, De Boelelaan 1117, NL-1081 HV Amsterdam, Netherlands
关键词
Contouring; Head and neck cancer; Knowledge-based planning; MODULATED ARC THERAPY; INTERACTIVE OPTIMIZATION; RADIOTHERAPY; CANCER; DELINEATION; VALIDATION; MODEL; RISK; QUALITY; ORGANS;
D O I
10.1016/j.radonc.2018.03.012
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and purpose: Current standards for organ-at-risk (OAR) contouring encourage anatomical accuracy which can be resource intensive. Certain OARs may be suitable for alternative delineation strategies. We investigated whether simplified salivary and swallowing structure contouring can still lead to good OAR sparing in automated head and neck cancer (HNC) plans. Materials and methods: For 15 HNC patients, knowledge-based plans (KBPs) using RapidPlan (TM) were created using: (1) standard clinical contours for all OARs (benchmark-plans), (2) automated knowledge-based contours for the salivary glands, with standard contours for the remaining OARs (SS-plans) and (3) simplified contours (SC-plans) consisting of quick-to-draw tubular structures to account for the oral cavity, salivary glands and swallowing muscles. Individual clinical OAR contours in a RapidPlan (TM) model were combined to create composite salivary/swallowing structures. These were matched to tube-contours to create SC-plans. All plans were compared based on dose to anatomically accurate clinical OAR contours. Results: Salivary gland delineation in SS-plans required on average 2 min, compared with 7 min for manual delineation of all tubular-contours. Automated atlas-based contours overlapped with, on average, 71% of clinical salivary gland contours while tube-contours overlapped with 95%/75%/93% of salivary gland/oral cavity/swallowing structure contours. On average, SC-plans were comparable to benchmark-plans and SS-plans, with average differences in composite salivary and swallowing structure dose <= 2 Gy and <1 Gy respectively. Conclusions: Simplified-contours could be created quickly and resulted in clinically acceptable HNC VMAT plans. They can be combined with automated planning to facilitate the implementation of advanced radiotherapy, even when resources are limited. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:190 / 196
页数:7
相关论文
共 24 条
  • [1] Caria N, VARIAN MED SYST, P1
  • [2] Development of a standardized method for contouring the larynx and its substructures
    Choi, Mehee
    Refaat, Tamer
    Lester, Malisa S.
    Bacchus, Ian
    Rademaker, Alfred W.
    Mittal, Bharat B.
    [J]. RADIATION ONCOLOGY, 2014, 9
  • [3] Swallowing sparing intensity modulated radiotherapy (SW-IMRT) in head and neck cancer: Clinical validation according to the model-based approach
    Christianen, Miranda E. M. C.
    van der Schaaf, Arjen
    van der Laan, Hans Paul
    Verdonck-de Leeuw, Irma M.
    Doornaert, Patricia
    Chouvalova, Olga
    Steenbakkers, Roel J. H. M.
    Leemans, Charles Rene
    Oosting, Sjoukje F.
    van der Laan, Bernard F. A. M.
    Roodenburg, Jan L. N.
    Slotman, Ben J.
    Bijl, Hendrik P.
    Langendijk, Johannes A.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2016, 118 (02) : 298 - 303
  • [4] Delineation of organs at risk involved in swallowing for radiotherapy treatment planning
    Christianen, Miranda E. M. C.
    Langendijk, Johannes A.
    Westerlaan, Henriette E.
    van de Water, Tara A.
    Bijl, Hendrik P.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2011, 101 (03) : 394 - 402
  • [5] Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation
    Daisne, Jean-Francois
    Blumhofer, Andreas
    [J]. RADIATION ONCOLOGY, 2013, 8
  • [6] A novel method for delineation of oral mucosa for radiotherapy dose-response studies
    Dean, Jamie A.
    Welsh, Liam C.
    Gulliford, Sarah L.
    Harrington, Kevin J.
    Nutting, Christopher M.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2015, 115 (01) : 63 - 66
  • [7] Effect of Dosimetric Outliers on the Performance of a Commercial Knowledge-Based Planning Solution
    Delaney, Alexander R.
    Tol, Jim P.
    Dahele, Max
    Cuijpers, Johan
    Slotman, Ben J.
    Verbakel, Wilko F. A. R.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 94 (03): : 469 - 477
  • [8] Establishing and Delivering Quality Radiation Therapy in Resource-Constrained Settings: The Story of Botswana
    Efstathiou, Jason A.
    Heunis, Magda
    Karumekayi, Talkmore
    Makufa, Remigio
    Bvochora-Nsingo, Memory
    Gierga, David P.
    Suneja, Gita
    Grover, Surbhi
    Kasese, Joseph
    Mmalane, Mompati
    Moffat, Howard
    von Paleske, Alexander
    Makhema, Joseph
    Dryden-Peterson, Scott
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (01) : 27 - +
  • [9] A broad scope knowledge based model for optimization of VMAT in esophageal cancer: validation and assessment of plan quality among different treatment centers
    Fogliata, Antonella
    Nicolini, Giorgia
    Clivio, Alessandro
    Vanetti, Eugenio
    Laksar, Sarbani
    Tozzi, Angelo
    Scorsetti, Marta
    Cozzi, Luca
    [J]. RADIATION ONCOLOGY, 2015, 10
  • [10] On the pre-clinical validation of a commercial model-based optimisation engine: Application to volumetric modulated arc therapy for patients with lung or prostate cancer
    Fogliata, Antonella
    Belosi, Francesca
    Clivio, Alessandro
    Navarria, Piera
    Nicolini, Giorgia
    Scorsetti, Marta
    Vanetti, Eugenio
    Cozzi, Luca
    [J]. RADIOTHERAPY AND ONCOLOGY, 2014, 113 (03) : 385 - 391