Literature DB >> 33565210

Incorporating parotid gland inhomogeneity into head-and-neck treatment optimization through the use of artificial base plans.

Caleb M Sample1,2, Jonn Wu3,4, Steven Thomas1, Haley Clark5.   

Abstract

Despite a great improvement in target volume dose conformality made possible in recent years by modulated therapies, xerostomia remains a common and severe side effect for head-and-neck radiotherapy patients. It is known that parotid glands exhibit a spatially varying dose response; however, the relative importance of subregions throughout the entire gland has yet to be incorporated into treatment plan optimization, with the current standard being to minimize the mean dose to whole parotid glands. The relative importance of regions within contralateral parotid glands has been recently quantified, creating an opportunity for the development of a method for including this data in plan optimization. We present a universal and straightforward approach for imposing varying sub-parotid gland dose constraints during inverse treatment planning by using patient-specific artificial base plans to penalize dose deposited in sensitive regions. In this work, the proposed method of optimization is demonstrated to reduce dose to regions of high relative importance throughout contralateral parotids and improve predictions for stimulated saliva output at 1-year post-radiotherapy. This method may also be applied to impose varying dose constraints to other organs-at-risk for which regional importance data exists.
© 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals LLC on behalf of AmericanAssociation of Physicists in Medicine.

Entities:  

Keywords:  base plan; constraint; head-and-neck; parotid; radiotherapy; xerostomia

Mesh:

Year:  2021        PMID: 33565210      PMCID: PMC7984464          DOI: 10.1002/acm2.13192

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN: 1526-9914            Impact factor:   2.102


  21 in total

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2.  A split-parotid delineation approach for dose optimization in volumetric modulated arc therapy for nasopharyngeal carcinoma patients with parapharyngeal space invasion and level IIa cervical lymph node involvements.

Authors:  Wei Xiao; Zhixiong Lin; Wuzhe Zhang; Mei Li; Vincent W C Wu
Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

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Authors:  Michael F Gensheimer; Sharon M Hummel-Kramer; David Cain; Tony S Quang
Journal:  Med Dosim       Date:  2015-02-19       Impact factor: 1.482

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Authors:  Antonius W T Konings; Femmy Cotteleer; Hette Faber; Peter van Luijk; Harm Meertens; Rob P Coppes
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-07-15       Impact factor: 7.038

5.  Prospective randomized study of intensity-modulated radiotherapy on salivary gland function in early-stage nasopharyngeal carcinoma patients.

Authors:  Michael K M Kam; Sing-Fai Leung; Benny Zee; Ricky M C Chau; Joyce J S Suen; Frankie Mo; Maria Lai; Rosalie Ho; Kin-yin Cheung; Brian K H Yu; Samuel K W Chiu; Peter H K Choi; Peter M L Teo; Wing-hong Kwan; Anthony T C Chan
Journal:  J Clin Oncol       Date:  2007-11-01       Impact factor: 44.544

Review 6.  Xerostomia: clinical aspects and treatment.

Authors:  Sandra F Cassolato; Robert S Turnbull
Journal:  Gerodontology       Date:  2003-12       Impact factor: 2.980

Review 7.  Long-term outcomes of interventions for radiation-induced xerostomia: A review.

Authors:  Sung Jun Ma; Charlotte I Rivers; Lucas M Serra; Anurag K Singh
Journal:  World J Clin Oncol       Date:  2019-01-10

8.  Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer.

Authors:  Wei Jiang; Pranav Lakshminarayanan; Xuan Hui; Peijin Han; Zhi Cheng; Michael Bowers; Ilya Shpitser; Sauleh Siddiqui; Russell H Taylor; Harry Quon; Todd McNutt
Journal:  Adv Radiat Oncol       Date:  2018-11-29

9.  Intensity-modulated radiotherapy--what is it?

Authors:  A Taylor; M E B Powell
Journal:  Cancer Imaging       Date:  2004-03-26       Impact factor: 3.909

10.  A model for predicting the dose to the parotid glands based on their relative overlapping with planning target volumes during helical radiotherapy.

Authors:  Cheryl H Millunchick; Heming Zhen; Gage Redler; Yixiang Liao; Julius V Turian
Journal:  J Appl Clin Med Phys       Date:  2017-11-06       Impact factor: 2.102

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