Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer

被引:38
|
作者
Krayenbuehl, J. [1 ]
Zamburlini, M. [1 ]
Ghandour, S. [2 ]
Pachoud, M. [2 ]
Lang-Tanadini, S. [1 ]
Tol, J. [3 ]
Guckenberger, M. [1 ]
Verbakel, W. F. A. R. [3 ]
机构
[1] Univ Hosp Zurich, Dept Radiat Oncol, Ramistr 100, CH-8091 Zurich, Switzerland
[2] Hop Riviera Chablais, Dept Radiat Oncol, Ave Prairie 3, CH-1800 Vevey, Switzerland
[3] Vrije Univ Amsterdam Med Ctr, Dept Radiotherapy, Boelelaan 1117, NL-1081 HV Amsterdam, Netherlands
来源
RADIATION ONCOLOGY | 2018年 / 13卷
关键词
Volumetric modulated arc therapy; Automated treatment planning; Head and neck carcinoma; Planning study; RapidPlan; Auto-planning; Raystation multicriteria optimization; MODULATED ARC THERAPY; MULTICRITERIA OPTIMIZATION; RADIOTHERAPY; IMRT; VOLUME; RISK;
D O I
10.1186/s13014-018-1113-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Automated treatment planning and/or optimization systems (ATPS) are in the process of broad clinical implementation aiming at reducing inter-planner variability, reducing the planning time allocated for the optimization process and improving plan quality. Five different ATPS used clinically were evaluated for advanced head and neck cancer (HNC). Methods: Three radiation oncology departments compared 5 different ATPS: 1) Automatic Interactive Optimizer (AIO) in combination with RapidArc (in-house developed and Varian Medical Systems); 2) Auto-Planning (AP) (Philips Radiation Oncology Systems); 3) RapidPlan version 13.6 (RP1) with HNC model from University Hospital A (Varian Medical Systems, Palo Alto, USA); 4) RapidPlan version 13.7 (RP2) combined with scripting for automated setup of fields with HNC model from University Hospital B; 5) Raystation multicriteria optimization algorithm version 5 (RS) (Laboratories AB, Stockholm, Sweden). Eight randomly selected HNC cases from institution A and 8 from institution B were used. PTV coverage, mean and maximum dose to the organs at risk and effective planning time were compared. Ranking was done based on 3 Gy increments for the parallel organs. Results: All planning systems achieved the hard dose constraints for the PTVs and serial organs for all patients. Overall, AP achieved the best ranking for the parallel organs followed by RS, AIO, RP2 and RP1. The oral cavity mean dose was the lowest for RS (31.3 +/- 17.6 Gy), followed by AP (33.8 +/- 17.8 Gy), RP1 (34.1 +/- 16.7 Gy), AIO (36.1 +/- 16.8 Gy) and RP2 (36.3 +/- 16.2 Gy). The submandibular glands mean dose was 33.6 +/- 10.8 Gy (AP), 35.2 +/- 8.4 Gy (AIO), 35.5 +/- 9. 3 Gy (RP2), 36.9 +/- 7.6 Gy (RS) and 38.2 +/- 7.0 Gy (RP1). The average effective planning working time was substantially different between the five ATPS (in minutes): <2 +/- 1 for AIO and RP2, 5 +/- 1 for AP, 15 +/- 2 for RP1 and 340 +/- 48 for RS, respectively. Conclusions: All ATPS were able to achieve all planning DVH constraints and the effective working time was kept bellow 20 min for each ATPS except for RS. For the parallel organs, AP performed the best, although the differences were small.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Radiochemotherapy in the treatment of locally advanced head and neck cancer: Results after five years of a randomized study
    Santarelli, M
    Raffetto, N
    Torcia, P
    De Santis, V
    Donato, V
    Enrici, RM
    EUROPEAN JOURNAL OF CANCER, 1999, 35 : S167 - S167
  • [32] Clinical Outcomes in Integrated PET-CT Radiotherapy Planning for Radiochemotherapy of Locally Advanced Head and Neck Cancer
    Ampil, F. L.
    Richards, T. A.
    Baluna, R. G.
    Ngo, Y.
    Kim, D.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 106 (05): : 1172 - 1172
  • [33] Integrated PET-CT treatment planning of locally advanced head and neck cancer: a review of imaging features and the contribution to clinical outcomes
    Ampil, Federico
    Norton, Michelle
    JOURNAL OF RADIOTHERAPY IN PRACTICE, 2022, 21 (04) : 553 - 555
  • [34] Automatic IMRT and VMAT Treatment Planning for Head and Neck Cancer
    Shen, Z. L.
    Murray, E.
    Yu, N.
    Kolar, M. D.
    Greskovich, J. F., Jr.
    Koyfman, S.
    Bzdusek, K.
    Xia, P.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2015, 93 (03): : E560 - E561
  • [35] Implementation of Virtual Endoscopy in Head and Neck Cancer Treatment Planning
    Chan, A.
    Hasan, M.
    Chen, G.
    Wolfgang, J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 78 (03): : S430 - S430
  • [36] The Application of PET in Radiation Treatment Planning for Head and Neck Cancer
    Woods, Charles
    Sohn, Jason
    Yao, Min
    PET CLINICS, 2011, 6 (02) : 149 - +
  • [37] Correction to: Automated IMRT planning in Pinnacle—A study in head-and-neck cancer
    J. M. A. M. Kusters
    K. Bzdusek
    P. Kumar
    P. G. M van Kollenburg
    M. C. Kunze-Busch
    M. Wendling
    T. Dijkema
    J. H. A. M. Kaanders
    Strahlentherapie und Onkologie, 2017, 193 : 1077 - 1078
  • [38] Concurrent paclitaxel and radiation in the treatment of locally advanced head and neck cancer
    Sunwoo, JB
    Herscher, LL
    Kroog, GS
    Thomas, GR
    Ondrey, FG
    Duffey, DC
    Solomon, BI
    Boss, C
    Albert, PS
    McCullugh, L
    Rudy, S
    Muir, C
    Zhai, S
    Figg, WD
    Cook, JA
    Mitchell, JB
    Van Waes, C
    JOURNAL OF CLINICAL ONCOLOGY, 2001, 19 (03) : 800 - 811
  • [39] Is there a role for induction chemotherapy in the treatment of locally advanced head and neck cancer?
    Forastiere, AA
    ORAL ONCOLOGY, 2005, 1 (01) : 52 - 52
  • [40] Radiation therapy in the multidisciplinary treatment of locally advanced head and neck cancer
    Perez, C
    Emami, B
    Simpson, J
    1ST WORLD CONGRESS ON HEAD AND NECK ONCOLOGY, 1998, : 853 - 858