Cargando…

Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy

BACKGROUND: Stereotactic body radiotherapy has been suggested to provide high rates of local control for locally advanced pancreatic cancer. However, the close proximity of highly radiosensitive normal tissues usually causes the labor-intensive planning process and may impede further escalation of t...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shuo, Zheng, Dandan, Lin, Chi, Lei, Yu, Verma, Vivek, Smith, April, Ma, Rongtao, Enke, Charles A., Zhou, Sumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572905/
https://www.ncbi.nlm.nih.gov/pubmed/31195891
http://dx.doi.org/10.1177/1533033819851520
_version_ 1783427743516459008
author Wang, Shuo
Zheng, Dandan
Lin, Chi
Lei, Yu
Verma, Vivek
Smith, April
Ma, Rongtao
Enke, Charles A.
Zhou, Sumin
author_facet Wang, Shuo
Zheng, Dandan
Lin, Chi
Lei, Yu
Verma, Vivek
Smith, April
Ma, Rongtao
Enke, Charles A.
Zhou, Sumin
author_sort Wang, Shuo
collection PubMed
description BACKGROUND: Stereotactic body radiotherapy has been suggested to provide high rates of local control for locally advanced pancreatic cancer. However, the close proximity of highly radiosensitive normal tissues usually causes the labor-intensive planning process and may impede further escalation of the prescription dose. PURPOSE: The present study aims to evaluate the consistency and efficiency of Pinnacle Auto-Planning for pancreas stereotactic body radiotherapy with original prescription and escalated prescription. METHODS: Twenty-four patients with pancreatic cancer treated with stereotactic body radiotherapy were studied retrospectively. The prescription is 40 Gy over 5 consecutive fractions. Most of patients (n = 21) also had 3 other different dose-level targets (6 Gy/fraction, 5 Gy/fraction, and 4 Gy/fraction). Two types of plans were generated by Pinnacle Auto-Planning with the original prescription (8 Gy/fraction, 6 Gy/fraction, 5 Gy/fraction, and 4 Gy/fraction) and escalated prescription (9 Gy/fraction, 7 Gy/fraction, 6 Gy/fraction, and 5 Gy/fraction), respectively. The same Auto-Planning template, including beam geometry, intensity-modulated radiotherapy objectives and intensity-modulated radiotherapy optimization parameters, were utilized for all the auto-plans in each prescription group. The intensity-modulated radiotherapy objectives do not include any manually created structures. Dosimetric parameters including percentage volume of PTV receiving 100% of the prescription dose, percentage volume of PTV receiving 93% of the prescription dose, and consistency of the dose-volume histograms of the target volumes were assessed. D(max) and D(1 cc) of highly radiosensitive organs were also evaluated. RESULTS: For all the pancreas stereotactic body radiotherapy plans with the original or escalated prescriptions, auto-plans met institutional dose constraints for critical organs, such as the duodenum, small intestine, and stomach. Furthermore, auto-plans resulted in acceptable planning target volume coverage for all targets with different prescription levels. All the plans were generated in a one-attempt manner, and very little human intervention is necessary to achieve such plan quality. CONCLUSIONS: Pinnacle(3) Auto-Planning consistently and efficiently generate acceptable treatment plans for multitarget pancreas stereotactic body radiotherapy with or without dose escalation and may play a more important role in treatment planning in the future.
format Online
Article
Text
id pubmed-6572905
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-65729052019-06-24 Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy Wang, Shuo Zheng, Dandan Lin, Chi Lei, Yu Verma, Vivek Smith, April Ma, Rongtao Enke, Charles A. Zhou, Sumin Technol Cancer Res Treat Artificial Intelligence Based Treatment Planning for Radiotherapy BACKGROUND: Stereotactic body radiotherapy has been suggested to provide high rates of local control for locally advanced pancreatic cancer. However, the close proximity of highly radiosensitive normal tissues usually causes the labor-intensive planning process and may impede further escalation of the prescription dose. PURPOSE: The present study aims to evaluate the consistency and efficiency of Pinnacle Auto-Planning for pancreas stereotactic body radiotherapy with original prescription and escalated prescription. METHODS: Twenty-four patients with pancreatic cancer treated with stereotactic body radiotherapy were studied retrospectively. The prescription is 40 Gy over 5 consecutive fractions. Most of patients (n = 21) also had 3 other different dose-level targets (6 Gy/fraction, 5 Gy/fraction, and 4 Gy/fraction). Two types of plans were generated by Pinnacle Auto-Planning with the original prescription (8 Gy/fraction, 6 Gy/fraction, 5 Gy/fraction, and 4 Gy/fraction) and escalated prescription (9 Gy/fraction, 7 Gy/fraction, 6 Gy/fraction, and 5 Gy/fraction), respectively. The same Auto-Planning template, including beam geometry, intensity-modulated radiotherapy objectives and intensity-modulated radiotherapy optimization parameters, were utilized for all the auto-plans in each prescription group. The intensity-modulated radiotherapy objectives do not include any manually created structures. Dosimetric parameters including percentage volume of PTV receiving 100% of the prescription dose, percentage volume of PTV receiving 93% of the prescription dose, and consistency of the dose-volume histograms of the target volumes were assessed. D(max) and D(1 cc) of highly radiosensitive organs were also evaluated. RESULTS: For all the pancreas stereotactic body radiotherapy plans with the original or escalated prescriptions, auto-plans met institutional dose constraints for critical organs, such as the duodenum, small intestine, and stomach. Furthermore, auto-plans resulted in acceptable planning target volume coverage for all targets with different prescription levels. All the plans were generated in a one-attempt manner, and very little human intervention is necessary to achieve such plan quality. CONCLUSIONS: Pinnacle(3) Auto-Planning consistently and efficiently generate acceptable treatment plans for multitarget pancreas stereotactic body radiotherapy with or without dose escalation and may play a more important role in treatment planning in the future. SAGE Publications 2019-06-13 /pmc/articles/PMC6572905/ /pubmed/31195891 http://dx.doi.org/10.1177/1533033819851520 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Artificial Intelligence Based Treatment Planning for Radiotherapy
Wang, Shuo
Zheng, Dandan
Lin, Chi
Lei, Yu
Verma, Vivek
Smith, April
Ma, Rongtao
Enke, Charles A.
Zhou, Sumin
Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
title Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
title_full Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
title_fullStr Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
title_full_unstemmed Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
title_short Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
title_sort technical assessment of an automated treatment planning on dose escalation of pancreas stereotactic body radiotherapy
topic Artificial Intelligence Based Treatment Planning for Radiotherapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572905/
https://www.ncbi.nlm.nih.gov/pubmed/31195891
http://dx.doi.org/10.1177/1533033819851520
work_keys_str_mv AT wangshuo technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT zhengdandan technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT linchi technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT leiyu technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT vermavivek technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT smithapril technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT marongtao technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT enkecharlesa technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy
AT zhousumin technicalassessmentofanautomatedtreatmentplanningondoseescalationofpancreasstereotacticbodyradiotherapy