Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy

Background and Purpose: Intra-fraction motion management is key in Stereotactic Ablative Radiotherapy (SABR) gated delivery. This study assessed the accuracy of automatic tumor segmentation in the delivery of MR-guided radiotherapy (MRgRT) by comparing it to manual delineations performed by experien...

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Main Authors: Miguel A. Palacios, Georgi Gerganov, Paul Cobussen, Shyama U. Tetar, Tobias Finazzi, Berend J. Slotman, Suresh Senan, Cornelis J.A. Haasbeek, Iwan Kawrakow
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631623000283
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author Miguel A. Palacios
Georgi Gerganov
Paul Cobussen
Shyama U. Tetar
Tobias Finazzi
Berend J. Slotman
Suresh Senan
Cornelis J.A. Haasbeek
Iwan Kawrakow
author_facet Miguel A. Palacios
Georgi Gerganov
Paul Cobussen
Shyama U. Tetar
Tobias Finazzi
Berend J. Slotman
Suresh Senan
Cornelis J.A. Haasbeek
Iwan Kawrakow
author_sort Miguel A. Palacios
collection DOAJ
description Background and Purpose: Intra-fraction motion management is key in Stereotactic Ablative Radiotherapy (SABR) gated delivery. This study assessed the accuracy of automatic tumor segmentation in the delivery of MR-guided radiotherapy (MRgRT) by comparing it to manual delineations performed by experienced observers. Materials and Methods: Twenty patients previously treated with MR-guided SABR for thoracic and abdominal tumors were included. Five observers with at least two years of experience in MRgRT manually delineated the gross tumor volume (GTV) for 20 patients on 240 frames of a cine MRI on a sagittal plane. Deformable Image Registration (DIR) based GTV contours were propagated using four different algorithms from a reference frame to subsequent frames.Geometrical analysis based on the Dice Similarity Coefficient (DSC), centroid distance and Hausdorff Distance (HDD) were performed to assess the inter-observer variability and the accuracy of automatic segmentation. A Confidence Value (CV) metric for the reliability of the tumor auto-contouring was also calculated. Results: Inter-observer delineation variability resulted in mean DSC of 0.89, HDD of 5.8 mm and centroid distance of 1.7 mm. Tumor auto-contouring by the four DIR algorithms resulted in an excellent agreement with the manual delineations by the experienced observers. Mean DSC for each algorithm across all patients was greater than 0.90, whereas the HDD and centroid distances were below 4.0 mm and 1.5 mm, respectively. The CV showed a strong correlation with the DSC. Conclusions: DIR-based auto-contouring in MRgRT exhibited a high level of agreement with the manual contouring performed by experts, allowing accurate gated delivery.
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spelling doaj.art-6c3f6cdf49964eee881060360ec4632d2023-06-08T04:19:27ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162023-04-0126100437Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapyMiguel A. Palacios0Georgi Gerganov1Paul Cobussen2Shyama U. Tetar3Tobias Finazzi4Berend J. Slotman5Suresh Senan6Cornelis J.A. Haasbeek7Iwan Kawrakow8Amsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Corresponding author.Viewray Inc, 2 Thermo Fischer Way, Oakwood Village, OH 44146, USAAmsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the NetherlandsAmsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the NetherlandsAmsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the NetherlandsAmsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the NetherlandsAmsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the NetherlandsAmsterdam UMC, Vrije Universiteit Medical Centre, Dept. of Radiation Oncology, de Boelelaan 1117, 1081 HV Amsterdam, the NetherlandsViewray Inc, 2 Thermo Fischer Way, Oakwood Village, OH 44146, USABackground and Purpose: Intra-fraction motion management is key in Stereotactic Ablative Radiotherapy (SABR) gated delivery. This study assessed the accuracy of automatic tumor segmentation in the delivery of MR-guided radiotherapy (MRgRT) by comparing it to manual delineations performed by experienced observers. Materials and Methods: Twenty patients previously treated with MR-guided SABR for thoracic and abdominal tumors were included. Five observers with at least two years of experience in MRgRT manually delineated the gross tumor volume (GTV) for 20 patients on 240 frames of a cine MRI on a sagittal plane. Deformable Image Registration (DIR) based GTV contours were propagated using four different algorithms from a reference frame to subsequent frames.Geometrical analysis based on the Dice Similarity Coefficient (DSC), centroid distance and Hausdorff Distance (HDD) were performed to assess the inter-observer variability and the accuracy of automatic segmentation. A Confidence Value (CV) metric for the reliability of the tumor auto-contouring was also calculated. Results: Inter-observer delineation variability resulted in mean DSC of 0.89, HDD of 5.8 mm and centroid distance of 1.7 mm. Tumor auto-contouring by the four DIR algorithms resulted in an excellent agreement with the manual delineations by the experienced observers. Mean DSC for each algorithm across all patients was greater than 0.90, whereas the HDD and centroid distances were below 4.0 mm and 1.5 mm, respectively. The CV showed a strong correlation with the DSC. Conclusions: DIR-based auto-contouring in MRgRT exhibited a high level of agreement with the manual contouring performed by experts, allowing accurate gated delivery.http://www.sciencedirect.com/science/article/pii/S2405631623000283Intra-fractionMotion managementMR-guidedReal-time trackingAutocontouring
spellingShingle Miguel A. Palacios
Georgi Gerganov
Paul Cobussen
Shyama U. Tetar
Tobias Finazzi
Berend J. Slotman
Suresh Senan
Cornelis J.A. Haasbeek
Iwan Kawrakow
Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy
Physics and Imaging in Radiation Oncology
Intra-fraction
Motion management
MR-guided
Real-time tracking
Autocontouring
title Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy
title_full Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy
title_fullStr Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy
title_full_unstemmed Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy
title_short Accuracy of deformable image registration-based intra-fraction motion management in Magnetic Resonance-guided radiotherapy
title_sort accuracy of deformable image registration based intra fraction motion management in magnetic resonance guided radiotherapy
topic Intra-fraction
Motion management
MR-guided
Real-time tracking
Autocontouring
url http://www.sciencedirect.com/science/article/pii/S2405631623000283
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