Literature DB >> 31071687

Quantifying the dosimetric impact of organ-at-risk delineation variability in head and neck radiation therapy in the context of patient setup uncertainty.

Eric Aliotta1, Hamidreza Nourzadeh, Jeffrey Siebers.   

Abstract

The purpose of this study was to quantify the potential dosimetric impact of delineation variability (DV) in head and neck radiation therapy (RT) when inherent patient setup variability (SV) is also considered. The impact of DV was assessed by generating plans with multiple structure sets, cross-evaluating them, including SV, across sets, and determining P PQM: the probability of achieving organ-specific plan quality metrics (PQM). DV was incorporated by: (1) using multiple organ at risk (OAR) structure sets delineated by independent manual observers; and (2) randomly perturbing manually generated OARs to generate alternatives with varying levels of uncertainty (low, medium, and high DV). For each structure set, independent VMAT plans were auto-generated to meet clinical PQMs. Each plan was cross-evaluated using OARs from multiple structure sets with simulated SV including per-fraction random (σ s) and per-treatment-course systematic (Σs) setup errors. The dosimetric impact of DV was assessed by examining P PQM with and without SV/DV. Clinically significant differences were defined by those that exceeded differences caused by a  +2% output variation. Without including SV, simulated DV at the medium level reduced P PQM by an average of 5.5% for all OARs with D max PQMs. This reduction decreased to 2.8% for SV  =  2 mm and 2.4% for SV  =  4 mm (the average P PQM reduction due to 2% output errors was 2.7%). For OARs with D mean PQMs, the average P PQM reduction was 0.9% for SV  =  0 and  ⩽0.1% for SV  ⩾  2 mm. The effect of DV was larger for OARs that directly abutted a target volume than for those that did not. These trends were also observed with real DV from multi-observer delineations. The dosimetric impact of DV appeared to decrease when random and systematic SV was considered. Sensitivity to DV was affected by OAR objective type (i.e. D mean versus D max objectives) as well as distance from the target volume.

Entities:  

Mesh:

Year:  2019        PMID: 31071687      PMCID: PMC7384596          DOI: 10.1088/1361-6560/ab205c

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  33 in total

1.  A system for continual quality improvement of normal tissue delineation for radiation therapy treatment planning.

Authors:  Jennifer Breunig; Sophy Hernandez; Jeffrey Lin; Stacy Alsager; Christine Dumstorf; Jennifer Price; Jennifer Steber; Richard Garza; Suneel Nagda; Edward Melian; Bahman Emami; John C Roeske
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-05-12       Impact factor: 7.038

2.  Inter- and intraobserver variation in HR-CTV contouring: intercomparison of transverse and paratransverse image orientation in 3D-MRI assisted cervix cancer brachytherapy.

Authors:  Primoz Petric; Johannes Dimopoulos; Christian Kirisits; Daniel Berger; Robert Hudej; Richard Pötter
Journal:  Radiother Oncol       Date:  2008-09-12       Impact factor: 6.280

3.  Clinical adequacy assessment of autocontours for prostate IMRT with meaningful endpoints.

Authors:  Hamidreza Nourzadeh; William T Watkins; Mahmoud Ahmed; Cheukkai Hui; David Schlesinger; Jeffrey V Siebers
Journal:  Med Phys       Date:  2017-04       Impact factor: 4.071

Review 4.  Interobserver variation in parotid gland delineation: a study of its impact on intensity-modulated radiotherapy solutions with a systematic review of the literature.

Authors:  S W Loo; W M C Martin; P Smith; S Cherian; T W Roques
Journal:  Br J Radiol       Date:  2012-08       Impact factor: 3.039

5.  Prospective assessment of an atlas-based intervention combined with real-time software feedback in contouring lymph node levels and organs-at-risk in the head and neck: Quantitative assessment of conformance to expert delineation.

Authors:  Musaddiq Awan; Jayashree Kalpathy-Cramer; G Brandon Gunn; Beth M Beadle; Adam S Garden; Jack Phan; Emma Holliday; William E Jones; Elizabeth Maani; Abhilasha Patel; Jehee Choi; Virginia Clyburn; Bundhit Tantiwongkosi; David I Rosenthal; Clifton D Fuller
Journal:  Pract Radiat Oncol       Date:  2012-12-21

6.  Irradiation of paranasal sinus tumors, a delineation and dose comparison study.

Authors:  Coen Rasch; Avraham Eisbruch; Peter Remeijer; Luc Bos; Mischa Hoogeman; Marcel van Herk; Joos V Lebesque
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-01-01       Impact factor: 7.038

7.  Inter- and intrafraction patient positioning uncertainties for intracranial radiotherapy: a study of four frameless, thermoplastic mask-based immobilization strategies using daily cone-beam CT.

Authors:  Erik Tryggestad; Matthew Christian; Eric Ford; Carmen Kut; Yi Le; Giuseppe Sanguineti; Danny Y Song; Lawrence Kleinberg
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-10-15       Impact factor: 7.038

Review 8.  Set-up verification using portal imaging; review of current clinical practice.

Authors:  C W Hurkmans; P Remeijer; J V Lebesque; B J Mijnheer
Journal:  Radiother Oncol       Date:  2001-02       Impact factor: 6.280

9.  Comparison of plastic and Orfit masks for patient head fixation during radiotherapy: precision and costs.

Authors:  C Weltens; K Kesteloot; G Vandevelde; W Van den Bogaert
Journal:  Int J Radiat Oncol Biol Phys       Date:  1995-09-30       Impact factor: 7.038

10.  Setup uncertainties for inter-fractional head and neck cancer in radiotherapy.

Authors:  Eun-Tae Park; Sung Kwang Park
Journal:  Oncotarget       Date:  2016-07-19
View more
  3 in total

1.  Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network.

Authors:  Xianjin Dai; Yang Lei; Tonghe Wang; Jun Zhou; Soumon Rudra; Mark McDonald; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2022-01-21       Impact factor: 3.609

2.  Systematic quantitative evaluation of Plan-IQ for intensity-modulated radiation therapy after modified radical mastectomy.

Authors:  Kunzhi Chen; Zhuangzhuang Zheng; Lijuan Ding; Na Tao; Libo Wang; Wenming Xia; Huidong Wang; Xin Jiang
Journal:  Sci Rep       Date:  2021-11-08       Impact factor: 4.379

3.  Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk.

Authors:  Noémie Johnston; Jeffrey De Rycke; Yolande Lievens; Marc van Eijkeren; Jan Aelterman; Eva Vandersmissen; Stephan Ponte; Barbara Vanderstraeten
Journal:  Phys Imaging Radiat Oncol       Date:  2022-07-25
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.