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

BACKGROUND: To evaluate the performance of surface-based deformable image registration (DR) for adaptive radiotherapy of non-small cell lung cancer (NSCLC). METHODS: Based on 13 patients with locally advanced NSCLC, CT images acquired at treatment planning, midway and the end of the radio- (n = 1) o...

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Autores principales: Guckenberger, Matthias, Baier, Kurt, Richter, Anne, Wilbert, Juergen, Flentje, Michael
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2804595/
https://www.ncbi.nlm.nih.gov/pubmed/20025753
http://dx.doi.org/10.1186/1748-717X-4-68
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author Guckenberger, Matthias
Baier, Kurt
Richter, Anne
Wilbert, Juergen
Flentje, Michael
author_facet Guckenberger, Matthias
Baier, Kurt
Richter, Anne
Wilbert, Juergen
Flentje, Michael
author_sort Guckenberger, Matthias
collection PubMed
description BACKGROUND: To evaluate the performance of surface-based deformable image registration (DR) for adaptive radiotherapy of non-small cell lung cancer (NSCLC). METHODS: Based on 13 patients with locally advanced NSCLC, CT images acquired at treatment planning, midway and the end of the radio- (n = 1) or radiochemotherapy (n = 12) course were used for evaluation of DR. All CT images were manually [gross tumor volume (GTV)] and automatically [organs-at-risk (OAR) lung, spinal cord, vertebral spine, trachea, aorta, outline] segmented. Contours were transformed into 3D meshes using the Pinnacle treatment planning system and corresponding mesh points defined control points for DR with interpolation within the structures. Using these deformation maps, follow-up CT images were transformed into the planning images and compared with the original planning CT images. RESULTS: A progressive tumor shrinkage was observed with median GTV volumes of 170 cm(3 )(range 42 cm(3 )- 353 cm(3)), 124 cm(3 )(19 cm(3 )- 325 cm(3)) and 100 cm(3 )(10 cm(3 )- 270 cm(3)) at treatment planning, mid-way and at the end of treatment. Without DR, correlation coefficients (CC) were 0.76 ± 0.11 and 0.74 ± 0.10 for comparison of the planning CT and the CT images acquired mid-way and at the end of treatment, respectively; DR significantly improved the CC to 0.88 ± 0.03 and 0.86 ± 0.05 (p = 0.001), respectively. With manual landmark registration as reference, DR reduced uncertainties on the GTV surface from 11.8 mm ± 5.1 mm to 2.9 mm ± 1.2 mm. Regarding the carina and intrapulmonary vessel bifurcations, DR reduced uncertainties by about 40% with residual errors of 4 mm to 6 mm on average. Severe deformation artefacts were observed in patients with resolving atelectasis and pleural effusion, in one patient, where the tumor was located around large bronchi and separate segmentation of the GTV and OARs was not possible, and in one patient, where no clear shrinkage but more a decay of the tumor was observed. DISCUSSION: The surface-based DR performed accurately for the majority of the patients with locally advanced NSCLC. However, morphological response patterns were identified, where results of the surface-based DR are uncertain.
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spelling pubmed-28045952010-01-12 Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC) Guckenberger, Matthias Baier, Kurt Richter, Anne Wilbert, Juergen Flentje, Michael Radiat Oncol Research BACKGROUND: To evaluate the performance of surface-based deformable image registration (DR) for adaptive radiotherapy of non-small cell lung cancer (NSCLC). METHODS: Based on 13 patients with locally advanced NSCLC, CT images acquired at treatment planning, midway and the end of the radio- (n = 1) or radiochemotherapy (n = 12) course were used for evaluation of DR. All CT images were manually [gross tumor volume (GTV)] and automatically [organs-at-risk (OAR) lung, spinal cord, vertebral spine, trachea, aorta, outline] segmented. Contours were transformed into 3D meshes using the Pinnacle treatment planning system and corresponding mesh points defined control points for DR with interpolation within the structures. Using these deformation maps, follow-up CT images were transformed into the planning images and compared with the original planning CT images. RESULTS: A progressive tumor shrinkage was observed with median GTV volumes of 170 cm(3 )(range 42 cm(3 )- 353 cm(3)), 124 cm(3 )(19 cm(3 )- 325 cm(3)) and 100 cm(3 )(10 cm(3 )- 270 cm(3)) at treatment planning, mid-way and at the end of treatment. Without DR, correlation coefficients (CC) were 0.76 ± 0.11 and 0.74 ± 0.10 for comparison of the planning CT and the CT images acquired mid-way and at the end of treatment, respectively; DR significantly improved the CC to 0.88 ± 0.03 and 0.86 ± 0.05 (p = 0.001), respectively. With manual landmark registration as reference, DR reduced uncertainties on the GTV surface from 11.8 mm ± 5.1 mm to 2.9 mm ± 1.2 mm. Regarding the carina and intrapulmonary vessel bifurcations, DR reduced uncertainties by about 40% with residual errors of 4 mm to 6 mm on average. Severe deformation artefacts were observed in patients with resolving atelectasis and pleural effusion, in one patient, where the tumor was located around large bronchi and separate segmentation of the GTV and OARs was not possible, and in one patient, where no clear shrinkage but more a decay of the tumor was observed. DISCUSSION: The surface-based DR performed accurately for the majority of the patients with locally advanced NSCLC. However, morphological response patterns were identified, where results of the surface-based DR are uncertain. BioMed Central 2009-12-21 /pmc/articles/PMC2804595/ /pubmed/20025753 http://dx.doi.org/10.1186/1748-717X-4-68 Text en Copyright ©2009 Guckenberger et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Guckenberger, Matthias
Baier, Kurt
Richter, Anne
Wilbert, Juergen
Flentje, Michael
Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)
title Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)
title_full Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)
title_fullStr Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)
title_full_unstemmed Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)
title_short Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)
title_sort evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (nsclc)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2804595/
https://www.ncbi.nlm.nih.gov/pubmed/20025753
http://dx.doi.org/10.1186/1748-717X-4-68
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