Literature DB >> 19339069

The delineation of target volumes for radiotherapy of lung cancer patients.

Hilke Vorwerk1, Gabriele Beckmann, Michael Bremer, Maria Degen, Barbara Dietl, Rainer Fietkau, Tammo Gsänger, Robert Michael Hermann, Markus Karl Alfred Herrmann, Ulrike Höller, Michael van Kampen, Wolfgang Körber, Burkhard Maier, Thomas Martin, Michael Metz, Ronald Richter, Birgit Siekmeyer, Martin Steder, Daniela Wagner, Clemens Friedrich Hess, Elisabeth Weiss, Hans Christiansen.   

Abstract

PURPOSE: Differences in the delineation of the gross target volume (GTV) and planning target volume (PTV) in patients with non-small-cell lung cancer are considerable. The focus of this work is on the analysis of observer-related reasons while controlling for other variables.
METHODS: In three consecutive patients, eighteen physicians from fourteen different departments delineated the GTV and PTV in CT-slices using a detailed instruction for target delineation. Differences in the volumes, the delineated anatomic lymph node compartments and differences in every delineated pixel of the contoured volumes in the CT-slices (pixel-by-pixel-analysis) were evaluated for different groups: ten radiation oncologists from ten departments (ROs), four haematologic oncologists and chest physicians from four departments (HOs) and five radiation oncologists from one department (RO1D).
RESULTS: Agreement (overlap > or = 70% of the contoured pixels) for the GTV and PTV delineation was found in 16.3% and 23.7% (ROs), 30.4% and 38.6% (HOs) and 32.8% and 35.9% (RO1D), respectively.
CONCLUSION: A large interobserver variability in the PTV and much more in the GTV delineation were observed in spite of a detailed instruction for delineation. The variability was smallest for group ROID where due to repeated discussions and uniform teaching a better agreement was achieved.

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Year:  2009        PMID: 19339069     DOI: 10.1016/j.radonc.2009.03.014

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


  28 in total

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Authors:  I Fotina; C Lütgendorf-Caucig; M Stock; R Pötter; D Georg
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2.  A teaching intervention in a contouring dummy run improved target volume delineation in locally advanced non-small cell lung cancer: Reducing the interobserver variability in multicentre clinical studies.

Authors:  Tanja Schimek-Jasch; Esther G C Troost; Gerta Rücker; Vesna Prokic; Melanie Avlar; Viola Duncker-Rohr; Michael Mix; Christian Doll; Anca-Ligia Grosu; Ursula Nestle
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3.  Baseline PET features to predict prognosis in primary mediastinal B cell lymphoma: a comparative analysis of different methods for measuring baseline metabolic tumour volume.

Authors:  Luca Ceriani; Lisa Milan; Peter W M Johnson; Maurizio Martelli; Stefano Presilla; Luca Giovanella; Emanuele Zucca
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4.  Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparison.

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Review 5.  A review on segmentation of positron emission tomography images.

Authors:  Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu; Daniel J Mollura
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Review 6.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
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7.  Quantitative assessment of target delineation variability for thymic cancers: Agreement evaluation of a prospective segmentation challenge.

Authors:  Emma Holliday; Clifton D Fuller; Jayashree Kalpathy-Cramer; Daniel Gomez; Andreas Rimner; Ying Li; Suresh Senan; Lynn D Wilson; Jehee Choi; Ritsuko Komaki; Charles R Thomas
Journal:  J Radiat Oncol       Date:  2015-11-03

8.  Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC).

Authors:  Matthias Guckenberger; Kurt Baier; Anne Richter; Juergen Wilbert; Michael Flentje
Journal:  Radiat Oncol       Date:  2009-12-21       Impact factor: 3.481

9.  A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen.

Authors:  Emmanuel Rios Velazquez; Hugo J W L Aerts; Yuhua Gu; Dmitry B Goldgof; Dirk De Ruysscher; Andre Dekker; René Korn; Robert J Gillies; Philippe Lambin
Journal:  Radiother Oncol       Date:  2012-11-15       Impact factor: 6.280

10.  Coverage-based treatment planning to accommodate delineation uncertainties in prostate cancer treatment.

Authors:  Huijun Xu; J James Gordon; Jeffrey V Siebers
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

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