Cargando…
Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared
BACKGROUND AND PURPOSE: For accurate pre‐operative gastric radiotherapy, intrafractional changes must be taken into account. The aim of this study is to quantify local gastric deformations and compare these deformations with respiratory‐induced displacement. MATERIALS AND METHODS: Coronal 2D MRI sca...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113698/ https://www.ncbi.nlm.nih.gov/pubmed/36565168 http://dx.doi.org/10.1002/acm2.13864 |
_version_ | 1785027898701250560 |
---|---|
author | Driever, Theo Hulshof, Maarten C.C.M. Bel, Arjan Sonke, Jan‐Jakob van der Horst, Astrid |
author_facet | Driever, Theo Hulshof, Maarten C.C.M. Bel, Arjan Sonke, Jan‐Jakob van der Horst, Astrid |
author_sort | Driever, Theo |
collection | PubMed |
description | BACKGROUND AND PURPOSE: For accurate pre‐operative gastric radiotherapy, intrafractional changes must be taken into account. The aim of this study is to quantify local gastric deformations and compare these deformations with respiratory‐induced displacement. MATERIALS AND METHODS: Coronal 2D MRI scans (15–16 min; 120 repetitions of 25–27 interleaved slices) were obtained for 18 healthy volunteers. A deep‐learning network was used to auto‐segment the stomach. To separate out respiratory‐induced displacements, auto‐segmentations were rigidly shifted in superior‐inferior (SI) direction to align the centre of mass (CoM) within every slice. From these shifted auto‐segmentations, 3D iso‐probability surfaces (isosurfaces) were established: a reference surface for P(Occ) = 0.50 and 50 other isosurfaces (from P(Occ) = 0.01 to 0.99), with P(Occ) indicating the probability of occupation by the stomach. For each point on the reference surface, distances to all isosurfaces were determined and a cumulative Gaussian was fitted to this probability‐distance dataset to obtain a standard deviation (SD(deform)) expressing local deformation. For each volunteer, we determined median and 98(th) percentile of SD(deform) over the reference surface and compared these with the respiratory‐induced displacement SD(resp), that is, the SD of all CoM shifts (paired Wilcoxon signed‐rank, α = 0.05). RESULTS: Larger deformations were mostly seen in the antrum and pyloric region. Median SD(deform) (range, 2.0–2.9 mm) was smaller than SD(resp) (2.7–8.8 mm) for each volunteer (p < 0.00001); 98(th) percentile of SD(deform) (3.2–7.3 mm) did not significantly differ from SD(resp) (p = 0.13). CONCLUSION: Locally, gastric deformations can be large. Overall, however, these deformations are limited compared to respiratory‐induced displacement. Therefore, unless respiratory motion is considerably reduced, the need to separately include these deformation uncertainties in the treatment margins may be limited. |
format | Online Article Text |
id | pubmed-10113698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101136982023-04-20 Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared Driever, Theo Hulshof, Maarten C.C.M. Bel, Arjan Sonke, Jan‐Jakob van der Horst, Astrid J Appl Clin Med Phys Radiation Oncology Physics BACKGROUND AND PURPOSE: For accurate pre‐operative gastric radiotherapy, intrafractional changes must be taken into account. The aim of this study is to quantify local gastric deformations and compare these deformations with respiratory‐induced displacement. MATERIALS AND METHODS: Coronal 2D MRI scans (15–16 min; 120 repetitions of 25–27 interleaved slices) were obtained for 18 healthy volunteers. A deep‐learning network was used to auto‐segment the stomach. To separate out respiratory‐induced displacements, auto‐segmentations were rigidly shifted in superior‐inferior (SI) direction to align the centre of mass (CoM) within every slice. From these shifted auto‐segmentations, 3D iso‐probability surfaces (isosurfaces) were established: a reference surface for P(Occ) = 0.50 and 50 other isosurfaces (from P(Occ) = 0.01 to 0.99), with P(Occ) indicating the probability of occupation by the stomach. For each point on the reference surface, distances to all isosurfaces were determined and a cumulative Gaussian was fitted to this probability‐distance dataset to obtain a standard deviation (SD(deform)) expressing local deformation. For each volunteer, we determined median and 98(th) percentile of SD(deform) over the reference surface and compared these with the respiratory‐induced displacement SD(resp), that is, the SD of all CoM shifts (paired Wilcoxon signed‐rank, α = 0.05). RESULTS: Larger deformations were mostly seen in the antrum and pyloric region. Median SD(deform) (range, 2.0–2.9 mm) was smaller than SD(resp) (2.7–8.8 mm) for each volunteer (p < 0.00001); 98(th) percentile of SD(deform) (3.2–7.3 mm) did not significantly differ from SD(resp) (p = 0.13). CONCLUSION: Locally, gastric deformations can be large. Overall, however, these deformations are limited compared to respiratory‐induced displacement. Therefore, unless respiratory motion is considerably reduced, the need to separately include these deformation uncertainties in the treatment margins may be limited. John Wiley and Sons Inc. 2022-12-24 /pmc/articles/PMC10113698/ /pubmed/36565168 http://dx.doi.org/10.1002/acm2.13864 Text en © 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Driever, Theo Hulshof, Maarten C.C.M. Bel, Arjan Sonke, Jan‐Jakob van der Horst, Astrid Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared |
title | Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared |
title_full | Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared |
title_fullStr | Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared |
title_full_unstemmed | Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared |
title_short | Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared |
title_sort | quantifying intrafractional gastric motion using auto‐segmentation on mri: deformation and respiratory‐induced displacement compared |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113698/ https://www.ncbi.nlm.nih.gov/pubmed/36565168 http://dx.doi.org/10.1002/acm2.13864 |
work_keys_str_mv | AT drievertheo quantifyingintrafractionalgastricmotionusingautosegmentationonmrideformationandrespiratoryinduceddisplacementcompared AT hulshofmaartenccm quantifyingintrafractionalgastricmotionusingautosegmentationonmrideformationandrespiratoryinduceddisplacementcompared AT belarjan quantifyingintrafractionalgastricmotionusingautosegmentationonmrideformationandrespiratoryinduceddisplacementcompared AT sonkejanjakob quantifyingintrafractionalgastricmotionusingautosegmentationonmrideformationandrespiratoryinduceddisplacementcompared AT vanderhorstastrid quantifyingintrafractionalgastricmotionusingautosegmentationonmrideformationandrespiratoryinduceddisplacementcompared |