Literature DB >> 28754289

Dosimetric benefits of automation in the treatment of lower thoracic esophageal cancer: Is manual planning still an alternative option?

Xiadong Li1, Lu Wang2, Jiahao Wang3, Xu Han4, Bing Xia1, Shixiu Wu1, Weigang Hu4.   

Abstract

This study aimed to design automated volumetric-modulated arc therapy (VMAT) plans in Pinnacle auto-planning and compare it with manual plans for patients with lower thoracic esophageal cancer (EC). Thirty patients with lower thoracic EC were randomly selected for replanning VMAT plans using auto-planning in Pinnacle treatment planning system (TPS) version 9.10. Historical plans of these patients were then compared. Dose-volume histogram (DVH) statistics, dose uniformity, and dose homogeneity were analyzed to evaluate treatment plans. Auto-planning was superior in terms of conformity index (CI) and homogeneity index (HI) for planning target volume (PTV), significantly improving 8.2% (p = 0.013) and 25% (p = 0.007) compared with manual planning, respectively, and decreasing dose of heart and liver irradiated by 20 to 40 Gy and 5 to 30 Gy, respectively (p < 0.05). Meanwhile, auto-planning further reduced the maximum dose (Dmax) of spinal cord by 6.9 Gy compared with manual planning (p = 0.000). Additionally, manual planning showed the significantly lower low-dose volume (V5) for the lung (p = 0.005). For auto-planning, the V5 of the lung was significantly associated with the relative volume index (the volume ratio of PTV to the lung), and the correlation coefficient (R) and p-value were 0.994 and 0.000. Pinnacle auto-planning achieved superior target conformity and homogeneity and similar target coverage compared with historical manual planning. Most of organs at risk (OARs) sparing was significantly improved by auto-planning except for the V5 of the lung, and the low dose distribution was highly associated with PTV volume and lung volume in auto-planning.
Copyright © 2017 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Auto planning; Lower thoracic esophageal cancer; Manual planning

Mesh:

Year:  2017        PMID: 28754289     DOI: 10.1016/j.meddos.2017.06.004

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  3 in total

Review 1.  Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations.

Authors:  Mohammad Hussein; Ben J M Heijmen; Dirk Verellen; Andrew Nisbet
Journal:  Br J Radiol       Date:  2018-09-04       Impact factor: 3.039

2.  A hybrid automated treatment planning solution for esophageal cancer.

Authors:  Chifang Ling; Xu Han; Peng Zhai; Hao Xu; Jiayan Chen; Jiazhou Wang; Weigang Hu
Journal:  Radiat Oncol       Date:  2019-12-19       Impact factor: 3.481

3.  Preoperative Chemoradiotherapy for Gastroesophageal Junction Adenocarcinoma Modified by PET/CT: Results of Virtual Planning Study.

Authors:  Marek Slavik; Petr Burkon; Iveta Selingerova; Pavel Krupa; Tomas Kazda; Jaroslava Stankova; Tomas Nikl; Renata Hejnova; Zdenek Rehak; Pavel Osmera; Tomas Prochazka; Eva Dvorakova; Petr Pospisil; Peter Grell; Pavel Slampa; Radka Obermannova
Journal:  Medicina (Kaunas)       Date:  2021-12-06       Impact factor: 2.430

  3 in total

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