Literature DB >> 16198064

Reduction of observer variation using matched CT-PET for lung cancer delineation: a three-dimensional analysis.

Roel J H M Steenbakkers1, Joop C Duppen, Isabelle Fitton, Kirsten E I Deurloo, Lambert J Zijp, Emile F I Comans, Apollonia L J Uitterhoeve, Patrick T R Rodrigus, Gijsbert W P Kramer, Johan Bussink, Katrien De Jaeger, José S A Belderbos, Peter J C M Nowak, Marcel van Herk, Coen R N Rasch.   

Abstract

PURPOSE: Target delineation using only CT information introduces large geometric uncertainties in radiotherapy for lung cancer. Therefore, a reduction of the delineation variability is needed. The impact of including a matched CT scan with 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) and adaptation of the delineation protocol and software on target delineation in lung cancer was evaluated in an extensive multi-institutional setting and compared with the delineations using CT only. METHODS AND MATERIALS: The study was separated into two phases. For the first phase, 11 radiation oncologists (observers) delineated the gross tumor volume (GTV), including the pathologic lymph nodes of 22 lung cancer patients (Stages I-IIIB) on CT only. For the second phase (1 year later), the same radiation oncologists delineated the GTV of the same 22 patients on a matched CT-FDG-PET scan using an adapted delineation protocol and software (according to the results of the first phase). All delineated volumes were analyzed in detail. The observer variation was computed in three dimensions by measuring the distance between the median GTV surface and each individual GTV. The variation in distance of all radiation oncologists was expressed as a standard deviation. The observer variation was evaluated for anatomic regions (lung, mediastinum, chest wall, atelectasis, and lymph nodes) and interpretation regions (agreement and disagreement; i.e., >80% vs. <80% of the radiation oncologists delineated the same structure, respectively). All radiation oncologist-computer interactions were recorded and analyzed with a tool called "Big Brother."
RESULTS: The overall three-dimensional observer variation was reduced from 1.0 cm (SD) for the first phase (CT only) to 0.4 cm (SD) for the second phase (matched CT-FDG-PET). The largest reduction in the observer variation was seen in the atelectasis region (SD 1.9 cm reduced to 0.5 cm). The mean ratio between the common and encompassing volume was 0.17 and 0.29 for the first and second phases, respectively. For the first phase, the common volume was 0 in 4 patients (i.e., no common point for all GTVs). In the second phase, the common volume was always >0. For all anatomic regions, the interpretation differences among the radiation oncologists were reduced. The amount of disagreement was 45% and 18% for the first and second phase, respectively. Furthermore, the mean delineation time (12 vs. 16 min, p<0.001) and mean number of corrections (25 vs. 39, p<0.001) were reduced in the second phase compared with the first phase.
CONCLUSION: For high-precision radiotherapy, the delineation of lung target volumes using only CT introduces too great a variability among radiation oncologists. Implementing matched CT-FDG-PET and adapted delineation protocol and software reduced observer variation in lung cancer delineation significantly with respect to CT only. However, the remaining observer variation was still large compared with other geometric uncertainties (setup variation and organ motion).

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Year:  2005        PMID: 16198064     DOI: 10.1016/j.ijrobp.2005.06.034

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  73 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
Journal:  Strahlenther Onkol       Date:  2012-01-27       Impact factor: 3.621

2.  Evaluation of the spatial dependence of the point spread function in 2D PET image reconstruction using LOR-OSEM.

Authors:  D Wiant; J A Gersh; M Bennett; J D Bourland
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

Review 3.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

4.  Human-computer interaction in radiotherapy target volume delineation: a prospective, multi-institutional comparison of user input devices.

Authors: 
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

Review 5.  Magnetic resonance imaging in lung: a review of its potential for radiotherapy.

Authors:  Shivani Kumar; Gary Liney; Robba Rai; Lois Holloway; Daniel Moses; Shalini K Vinod
Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

6.  From anatomical to biological target volumes: the role of PET in radiation treatment planning.

Authors:  D A X Schinagl; J H A M Kaanders; W J G Oyen
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

7.  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
Journal:  Strahlenther Onkol       Date:  2015-02-10       Impact factor: 3.621

8.  Should patient setup in lung cancer be based on the primary tumor? An analysis of tumor coverage and normal tissue dose using repeated positron emission tomography/computed tomography imaging.

Authors:  Wouter van Elmpt; Michel Öllers; Philippe Lambin; Dirk De Ruysscher
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-17       Impact factor: 7.038

Review 9.  Magnetic resonance imaging in precision radiation therapy for lung cancer.

Authors:  Hannah Bainbridge; Ahmed Salem; Rob H N Tijssen; Michael Dubec; Andreas Wetscherek; Corinne Van Es; Jose Belderbos; Corinne Faivre-Finn; Fiona McDonald
Journal:  Transl Lung Cancer Res       Date:  2017-12

10.  Experimental investigation of a general real-time 3D target localization method using sequential kV imaging combined with respiratory monitoring.

Authors:  Byungchul Cho; Per Poulsen; Dan Ruan; Amit Sawant; Paul J Keall
Journal:  Phys Med Biol       Date:  2012-10-24       Impact factor: 3.609

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