Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients

Background and purpose:: Diffusion tensor imaging (DTI) has been proposed to guide the anisotropic expansion from gross tumor volume to clinical target volume (CTV), aiming to integrate known tumor spread patterns into the CTV. This study investigate the potential of using a DTI atlas as an alternat...

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Main Authors: Kim Hochreuter, Gregory Buti, Ali Ajdari, Christopher P. Bridge, Gregory C. Sharp, Sune Jespersen, Slávka Lukacova, Thomas Bortfeld, Jesper F. Kallehauge
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Physics and Imaging in Radiation Oncology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405631624001581
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author Kim Hochreuter
Gregory Buti
Ali Ajdari
Christopher P. Bridge
Gregory C. Sharp
Sune Jespersen
Slávka Lukacova
Thomas Bortfeld
Jesper F. Kallehauge
author_facet Kim Hochreuter
Gregory Buti
Ali Ajdari
Christopher P. Bridge
Gregory C. Sharp
Sune Jespersen
Slávka Lukacova
Thomas Bortfeld
Jesper F. Kallehauge
author_sort Kim Hochreuter
collection DOAJ
description Background and purpose:: Diffusion tensor imaging (DTI) has been proposed to guide the anisotropic expansion from gross tumor volume to clinical target volume (CTV), aiming to integrate known tumor spread patterns into the CTV. This study investigate the potential of using a DTI atlas as an alternative to patient-specific DTI for generating anisotropic CTVs. Materials and Methods:: The dataset consisted of twenty-eight newly diagnosed glioblastoma patients from a Danish national DTI protocol with post-operative T1-contrast and DTI imaging. Three different DTI atlases, spatially aligned to the patient images using deformable image registration, were considered as alternatives. Anisotropic CTVs were constructed to match the volume of a 15 mm isotropic expansion by generating 3D distance maps using either patient- or atlas-DTI as input to the shortest path solver. The degree of CTV anisotropy was controlled by the migration ratio, modeling tumor cell migration along the dominant white matter fiber direction extracted from DTI. The similarity between patient- and atlas-DTI CTVs was analyzed using the Dice Similarity Coefficient (DSC), with significance testing according to a Wilcoxon test. Results:: The median (range) DSC between anisotropic CTVs generated using patient-specific and atlas-based DTI was 0.96 (0.93–0.97), 0.96 (0.93–0.97), and 0.95 (0.93–0.97) for the three atlases, respectively (p > 0.01), for a migration ratio of 10. The results remained consistent over the range of studied migration ratios (2 to 100). Conclusion:: The high degree of similarity between all anisotropic CTVs indicates that atlas-DTI is a viable replacement for patient-specific DTI for incorporating fiber direction into the CTV.
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spelling doaj-art-1cd16457e3b34ca296437d3652dfb3d92025-01-05T04:28:19ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162025-01-0133100688Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patientsKim Hochreuter0Gregory Buti1Ali Ajdari2Christopher P. Bridge3Gregory C. Sharp4Sune Jespersen5Slávka Lukacova6Thomas Bortfeld7Jesper F. Kallehauge8Aarhus University Hospital, Danish Centre for Particle Therapy, Palle Juul-Jensens Blvd. 25, 8200 Aarhus, Denmark; Aarhus University, Department of Clinical Medicine, Palle Juul-Jensens Blvd. 82, 8200 Aarhus, DenmarkMassachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Division of Radiation Biophysics, 100 Blossom St, Boston, MA 02114, USAMassachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Division of Radiation Biophysics, 100 Blossom St, Boston, MA 02114, USAMassachusetts General Hospital and Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, 149 Thirteenth St, Charlestown, MA 02129, USAMassachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Division of Radiation Biophysics, 100 Blossom St, Boston, MA 02114, USACenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Physics and Astronomy, Aarhus University, Aarhus, DenmarkAarhus University, Department of Clinical Medicine, Palle Juul-Jensens Blvd. 82, 8200 Aarhus, Denmark; Aarhus University Hospital, Department of Oncology, Palle Juul-Jensens Blvd. 99, 8200 Aarhus, DenmarkMassachusetts General Hospital and Harvard Medical School, Department of Radiation Oncology, Division of Radiation Biophysics, 100 Blossom St, Boston, MA 02114, USAAarhus University Hospital, Danish Centre for Particle Therapy, Palle Juul-Jensens Blvd. 25, 8200 Aarhus, Denmark; Aarhus University, Department of Clinical Medicine, Palle Juul-Jensens Blvd. 82, 8200 Aarhus, Denmark; Correspondence to: Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.Background and purpose:: Diffusion tensor imaging (DTI) has been proposed to guide the anisotropic expansion from gross tumor volume to clinical target volume (CTV), aiming to integrate known tumor spread patterns into the CTV. This study investigate the potential of using a DTI atlas as an alternative to patient-specific DTI for generating anisotropic CTVs. Materials and Methods:: The dataset consisted of twenty-eight newly diagnosed glioblastoma patients from a Danish national DTI protocol with post-operative T1-contrast and DTI imaging. Three different DTI atlases, spatially aligned to the patient images using deformable image registration, were considered as alternatives. Anisotropic CTVs were constructed to match the volume of a 15 mm isotropic expansion by generating 3D distance maps using either patient- or atlas-DTI as input to the shortest path solver. The degree of CTV anisotropy was controlled by the migration ratio, modeling tumor cell migration along the dominant white matter fiber direction extracted from DTI. The similarity between patient- and atlas-DTI CTVs was analyzed using the Dice Similarity Coefficient (DSC), with significance testing according to a Wilcoxon test. Results:: The median (range) DSC between anisotropic CTVs generated using patient-specific and atlas-based DTI was 0.96 (0.93–0.97), 0.96 (0.93–0.97), and 0.95 (0.93–0.97) for the three atlases, respectively (p > 0.01), for a migration ratio of 10. The results remained consistent over the range of studied migration ratios (2 to 100). Conclusion:: The high degree of similarity between all anisotropic CTVs indicates that atlas-DTI is a viable replacement for patient-specific DTI for incorporating fiber direction into the CTV.http://www.sciencedirect.com/science/article/pii/S2405631624001581RadiotherapyCTVDTIAnisotropic margin expansionGlioblastoma
spellingShingle Kim Hochreuter
Gregory Buti
Ali Ajdari
Christopher P. Bridge
Gregory C. Sharp
Sune Jespersen
Slávka Lukacova
Thomas Bortfeld
Jesper F. Kallehauge
Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
Physics and Imaging in Radiation Oncology
Radiotherapy
CTV
DTI
Anisotropic margin expansion
Glioblastoma
title Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
title_full Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
title_fullStr Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
title_full_unstemmed Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
title_short Investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
title_sort investigating the potential of diffusion tensor atlases to generate anisotropic clinical tumor volumes in glioblastoma patients
topic Radiotherapy
CTV
DTI
Anisotropic margin expansion
Glioblastoma
url http://www.sciencedirect.com/science/article/pii/S2405631624001581
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