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Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network

The effectiveness of single-session gamma knife radiosurgery (GKRS) for small metastatic brain tumors has been proven, but hypofractionated GKRS (hfGKRS) for large brain metastases (BM) from the linear quadratic (LQ) model is uncertain. The purpose of this study was to investigate volume changes lar...

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Detalles Bibliográficos
Autores principales: Moon, Hyeong Cheol, Park, Young Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542824/
https://www.ncbi.nlm.nih.gov/pubmed/36221403
http://dx.doi.org/10.1097/MD.0000000000030964
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author Moon, Hyeong Cheol
Park, Young Seok
author_facet Moon, Hyeong Cheol
Park, Young Seok
author_sort Moon, Hyeong Cheol
collection PubMed
description The effectiveness of single-session gamma knife radiosurgery (GKRS) for small metastatic brain tumors has been proven, but hypofractionated GKRS (hfGKRS) for large brain metastases (BM) from the linear quadratic (LQ) model is uncertain. The purpose of this study was to investigate volume changes large BM after hfGKRS from the LQ model and predict volume changes using artificial neural network (ANN). We retrospectively investigated the clinical findings of 28 patients who underwent hfGKRS with large BM (diameter >3 cm or volume >10 cc). A total of 44 tumors were extracted from 28 patients with features. We randomly divided 30 large brain tumors as training set and 14 large brain tumors as test set. To predict the volume changes after hfGKRS, we used ANN models (single-layer perceptron (SLP) and multi-layer perceptron (MLP)). The volume reduction was 96% after hfGKRS for large BM from the LQ model. ANN model predicted volume changes with 70% and 80% accuracy for SLP and MLP, respectively. Even in large BM, hfGKRS from the LQ model could be a good treatment option. Additionally, the MLP model could predict volume changes with 80% accuracy after hfGKRS for large BM.
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spelling pubmed-95428242022-10-11 Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network Moon, Hyeong Cheol Park, Young Seok Medicine (Baltimore) 7100 The effectiveness of single-session gamma knife radiosurgery (GKRS) for small metastatic brain tumors has been proven, but hypofractionated GKRS (hfGKRS) for large brain metastases (BM) from the linear quadratic (LQ) model is uncertain. The purpose of this study was to investigate volume changes large BM after hfGKRS from the LQ model and predict volume changes using artificial neural network (ANN). We retrospectively investigated the clinical findings of 28 patients who underwent hfGKRS with large BM (diameter >3 cm or volume >10 cc). A total of 44 tumors were extracted from 28 patients with features. We randomly divided 30 large brain tumors as training set and 14 large brain tumors as test set. To predict the volume changes after hfGKRS, we used ANN models (single-layer perceptron (SLP) and multi-layer perceptron (MLP)). The volume reduction was 96% after hfGKRS for large BM from the LQ model. ANN model predicted volume changes with 70% and 80% accuracy for SLP and MLP, respectively. Even in large BM, hfGKRS from the LQ model could be a good treatment option. Additionally, the MLP model could predict volume changes with 80% accuracy after hfGKRS for large BM. Lippincott Williams & Wilkins 2022-10-07 /pmc/articles/PMC9542824/ /pubmed/36221403 http://dx.doi.org/10.1097/MD.0000000000030964 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 7100
Moon, Hyeong Cheol
Park, Young Seok
Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
title Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
title_full Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
title_fullStr Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
title_full_unstemmed Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
title_short Volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
title_sort volume prediction for large brain metastases after hypofractionated gamma knife radiosurgery through artificial neural network
topic 7100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542824/
https://www.ncbi.nlm.nih.gov/pubmed/36221403
http://dx.doi.org/10.1097/MD.0000000000030964
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