Literature DB >> 20122749

Inter-observer and intra-observer reliability for lung cancer target volume delineation in the 4D-CT era.

Alexander V Louie1, George Rodrigues, Jason Olsthoorn, David Palma, Edward Yu, Brian Yaremko, Belal Ahmad, Inge Aivas, Stewart Gaede.   

Abstract

BACKGROUND AND
PURPOSE: To investigate inter-observer and intra-observer target volume delineation (TVD) error in 4D-CT imaging of thoracic tumours.
MATERIALS AND METHODS: Primary and nodal gross tumour volumes (GTV) of 10 lung tumours on the 10 respiratory phases of a 4D-CT scan were contoured by six radiation oncologist observers. Inter-observer and intra-observer variability were assessed by the coefficient of variation (COV) and the volume overlap index (VOI). ANOVA was performed to assess differences in inter-observer and intra-observer variability based on patient case difficulty, respiratory phase, physician seniority, and physician observer.
RESULTS: VOI analysis determined that inter-observer was a more significant source of error than intra-observer variability. VOI improved with the use of 4D-CT as compared to conventional CT. ANOVA analysis for COVs found case difficulty (easy versus difficult) to be significant for inter-observer primary tumour and intra-observer nodal disease delineation. Physician seniority, respiratory phase, and individual physician were not found to be significant for TVD error.
CONCLUSION: Variability in TVD is a major source of error in 4D-CT treatment planning. Development of measures to reduce inter-observer and intra-observer TVD variability are necessary in order to deliver high quality radiotherapy. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20122749     DOI: 10.1016/j.radonc.2009.12.028

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  32 in total

1.  Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy.

Authors:  I Fotina; C Lütgendorf-Caucig; M Stock; R Pötter; D Georg
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2.  Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapy.

Authors:  Sarah A Mattonen; Shyama Tetar; David A Palma; Alexander V Louie; Suresh Senan; Aaron D Ward
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-12

Review 3.  New techniques for assessing response after hypofractionated radiotherapy for lung cancer.

Authors:  Sarah A Mattonen; Kitty Huang; Aaron D Ward; Suresh Senan; David A Palma
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

4.  Systematic analysis of bias and variability of texture measurements in computed tomography.

Authors:  Marthony Robins; Justin Solomon; Jocelyn Hoye; Ehsan Abadi; Daniele Marin; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2019-07-12

Review 5.  Radiation oncology in the era of precision medicine.

Authors:  Michael Baumann; Mechthild Krause; Jens Overgaard; Jürgen Debus; Søren M Bentzen; Juliane Daartz; Christian Richter; Daniel Zips; Thomas Bortfeld
Journal:  Nat Rev Cancer       Date:  2016-03-18       Impact factor: 60.716

6.  Delineation of the larynx as organ at risk in radiotherapy: a contouring course within "Rete Oncologica Piemonte-Valle d'Aosta" network to reduce inter- and intraobserver variability.

Authors:  Domenico Cante; Edoardo Petrucci; Cristina Piva; Valeria Casanova Borca; Piera Sciacero; Maurizio Bertodatto; Caterina Marta; Pierfrancesco Franco; Monica Viale; Giovanni La Valle; Maria Rosa La Porta; Oscar Bertetto
Journal:  Radiol Med       Date:  2016-07-15       Impact factor: 3.469

Review 7.  Innovative technologies in thoracic radiation therapy for lung cancer.

Authors:  Andrea Riccardo Filippi; Cristina Mantovani; Umberto Ricardi
Journal:  Transl Lung Cancer Res       Date:  2012-12

Review 8.  A review of automatic lung tumour segmentation in the era of 4DCT.

Authors:  Nadine Wong Yuzhen; Sarah Barrett
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-22

9.  Technology assessment of automated atlas based segmentation in prostate bed contouring.

Authors:  Jeremiah Hwee; Alexander V Louie; Stewart Gaede; Glenn Bauman; David D'Souza; Tracy Sexton; Michael Lock; Belal Ahmad; George Rodrigues
Journal:  Radiat Oncol       Date:  2011-09-09       Impact factor: 3.481

10.  Assessment of respiration-induced motion and its impact on treatment outcome for lung cancer.

Authors:  Yan Wang; Yong Bao; Li Zhang; Wei Fan; Han He; Zong-Wen Sun; Xiao Hu; Shao-Min Huang; Ming Chen; Xiao-Wu Deng
Journal:  Biomed Res Int       Date:  2013-06-04       Impact factor: 3.411

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