Literature DB >> 33768005

Inter-Observer Variation in Delineating the Pharyngeal Constrictor Muscle as Organ at Risk in Radiotherapy for Head and Neck Cancer.

Imran Petkar1,2, Dualta McQuaid3, Alex Dunlop3, Justine Tyler4, Emma Hall5, Chris Nutting1,2.   

Abstract

BACKGROUND AND
PURPOSE: To evaluate the inter-observer variation (IOV) in pharyngeal constrictor muscle (PCM) contouring, and resultant impact on dosimetry and estimated toxicity, as part of the pre-trial radiotherapy trial quality assurance (RTQA) within DARS, a multicenter phase III randomized controlled trial investigating the functional benefits of dysphagia-optimized intensity-modulated radiotherapy (Do-IMRT) in pharyngeal cancers. METHODS AND MATERIALS: Outlining accuracy of 15 clinicians' superior and middle PCM (SMPCM) and inferior PCM (IPCM) were retrospectively assessed against gold standards (GS) using volume, location, and conformity indices (CIs) on a pre-trial benchmark case of oropharyngeal cancer. The influence of delineation variability on dose delivered to the constrictor muscles with Do-IMRT and resultant normal tissue complication probability (NTCP) for physician-scored radiation-associated dysphagia at 6 months was evaluated.
RESULTS: For GS, SMPCM, and IPCM volumes were 13.51 and 1.67 cm3; corresponding clinician mean volumes were 12.18 cm3 (SD 3.0) and 2.40 cm3 (SD 0.9) respectively. High IOV in SMPCM and IPCM delineation was observed by the low DICE similarity coefficient value, along with high geographical miss index and discordance index values. Delineation variability did not significantly affect the mean dose delivered to the constrictors, relative to the GS plan. Mean clinician NTCP was 24.6% (SD 0.6), compared to the GS-NTCP of 24.7%.
CONCLUSIONS: Results from this benchmark case demonstrate that inaccurate PCM delineation existed, even with protocol guidelines. This did not impact on delivered dose to this structure with Do-IMRT, or on estimated swallowing toxicity, in this single benchmark case.
Copyright © 2021 Petkar, McQuaid, Dunlop, Tyler, Hall and Nutting.

Entities:  

Keywords:  DARS; dysphagia; dysphagia-optimized IMRT; head and neck cancer; inter-observer variation; normal tissue complication probability; oropharyngeal cancer; pharyngeal constrictor muscles

Year:  2021        PMID: 33768005      PMCID: PMC7985335          DOI: 10.3389/fonc.2021.644767

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  21 in total

1.  Variations in the contouring of organs at risk: test case from a patient with oropharyngeal cancer.

Authors:  Benjamin E Nelms; Wolfgang A Tomé; Greg Robinson; James Wheeler
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-12-01       Impact factor: 7.038

2.  Morphometric analysis of white matter lesions in MR images: method and validation.

Authors:  A P Zijdenbos; B M Dawant; R A Margolin; A C Palmer
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

3.  Global harmonization of quality assurance naming conventions in radiation therapy clinical trials.

Authors:  Christos Melidis; Walther R Bosch; Joanna Izewska; Elena Fidarova; Eduardo Zubizarreta; Kenneth Ulin; Satoshi Ishikura; David Followill; James Galvin; Annette Haworth; Deidre Besuijen; Catharine H Clark; Clark H Clark; Elizabeth Miles; Edwin Aird; Damien C Weber; Coen W Hurkmans; Dirk Verellen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-12-01       Impact factor: 7.038

4.  Is accurate contouring of salivary and swallowing structures necessary to spare them in head and neck VMAT plans?

Authors:  Alexander R Delaney; Max Dahele; Ben J Slotman; Wilko F A R Verbakel
Journal:  Radiother Oncol       Date:  2018-03-28       Impact factor: 6.280

5.  The potential benefit of swallowing sparing intensity modulated radiotherapy to reduce swallowing dysfunction: an in silico planning comparative study.

Authors:  Hans Paul van der Laan; Miranda E M C Christianen; Hendrik P Bijl; Cornelis Schilstra; Johannes A Langendijk
Journal:  Radiother Oncol       Date:  2011-11-21       Impact factor: 6.280

6.  Swallowing sparing intensity modulated radiotherapy (SW-IMRT) in head and neck cancer: Clinical validation according to the model-based approach.

Authors:  Miranda E M C Christianen; Arjen van der Schaaf; Hans Paul van der Laan; Irma M Verdonck-de Leeuw; Patricia Doornaert; Olga Chouvalova; Roel J H M Steenbakkers; Charles René Leemans; Sjoukje F Oosting; Bernard F A M van der Laan; Jan L N Roodenburg; Ben J Slotman; Hendrik P Bijl; Johannes A Langendijk
Journal:  Radiother Oncol       Date:  2015-12-14       Impact factor: 6.280

Review 7.  Dysphagia-optimised Intensity-modulated Radiotherapy Techniques in Pharyngeal Cancers: Is Anyone Going to Swallow it?

Authors:  I Petkar; S Bhide; K Newbold; K Harrington; C Nutting
Journal:  Clin Oncol (R Coll Radiol)       Date:  2017-02-24       Impact factor: 4.126

8.  DARS: a phase III randomised multicentre study of dysphagia- optimised intensity- modulated radiotherapy (Do-IMRT) versus standard intensity- modulated radiotherapy (S-IMRT) in head and neck cancer.

Authors:  Imran Petkar; Keith Rooney; Justin W G Roe; Joanne M Patterson; David Bernstein; Justine M Tyler; Marie A Emson; James P Morden; Kathrin Mertens; Elizabeth Miles; Matthew Beasley; Tom Roques; Shreerang A Bhide; Kate L Newbold; Kevin J Harrington; Emma Hall; Christopher M Nutting
Journal:  BMC Cancer       Date:  2016-10-06       Impact factor: 4.430

9.  Toward semi-automated assessment of target volume delineation in radiotherapy trials: the SCOPE 1 pretrial test case.

Authors:  Sarah Gwynne; Emiliano Spezi; Lucy Wills; Lisette Nixon; Chris Hurt; George Joseph; Mererid Evans; Gareth Griffiths; Tom Crosby; John Staffurth
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-08-08       Impact factor: 7.038

10.  PATHOS: a phase II/III trial of risk-stratified, reduced intensity adjuvant treatment in patients undergoing transoral surgery for Human papillomavirus (HPV) positive oropharyngeal cancer.

Authors:  Waheeda Owadally; Chris Hurt; Hayley Timmins; Emma Parsons; Sarah Townsend; Joanne Patterson; Katherine Hutcheson; Ned Powell; Matthew Beasley; Nachi Palaniappan; Max Robinson; Terence M Jones; Mererid Evans
Journal:  BMC Cancer       Date:  2015-08-27       Impact factor: 4.430

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  1 in total

1.  Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT.

Authors:  Aditi Iyer; Maria Thor; Ifeanyirochukwu Onochie; Jennifer Hesse; Kaveh Zakeri; Eve LoCastro; Jue Jiang; Harini Veeraraghavan; Sharif Elguindi; Nancy Y Lee; Joseph O Deasy; Aditya P Apte
Journal:  Phys Med Biol       Date:  2022-01-17       Impact factor: 3.609

  1 in total

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