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OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery

OBJECTIVES: The objective of this study is to evaluate the user‐defined optimization settings in the Fast Inverse Planning (FIP) optimizer in Leksell GammaPlan® and determine the parameters that result in the best stereotactic radiosurgery (SRS) plan quality for brain metastases, benign tumors, and...

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Autores principales: Tolakanahalli, Ranjini, Wieczorek, D Jay J., Lee, Yongsook C., Tom, Martin C., Hall, Matthew D., McDermott, Michael W., Mehta, Minesh P., Kotecha, Rupesh, Gutierrez, Alonso N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243324/
https://www.ncbi.nlm.nih.gov/pubmed/36855958
http://dx.doi.org/10.1002/acm2.13936
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author Tolakanahalli, Ranjini
Wieczorek, D Jay J.
Lee, Yongsook C.
Tom, Martin C.
Hall, Matthew D.
McDermott, Michael W.
Mehta, Minesh P.
Kotecha, Rupesh
Gutierrez, Alonso N.
author_facet Tolakanahalli, Ranjini
Wieczorek, D Jay J.
Lee, Yongsook C.
Tom, Martin C.
Hall, Matthew D.
McDermott, Michael W.
Mehta, Minesh P.
Kotecha, Rupesh
Gutierrez, Alonso N.
author_sort Tolakanahalli, Ranjini
collection PubMed
description OBJECTIVES: The objective of this study is to evaluate the user‐defined optimization settings in the Fast Inverse Planning (FIP) optimizer in Leksell GammaPlan® and determine the parameters that result in the best stereotactic radiosurgery (SRS) plan quality for brain metastases, benign tumors, and arteriovenous malformations (AVMs). METHODS: Thirty patients with metastases and 30 with benign lesions—vestibular schwannoma, AVMs, pituitary adenoma, and meningioma‐treated with SRS were evaluated. Each target was planned by varying the low dose (LD) and beam‐on‐time (BOT) penalties in increments of 0.1, from 0 to 1. The following plan quality metrics were recorded for each plan: Paddick conformity index (PCI), gradient index (GI), BOT, and maximum organ‐at‐risk (OAR) doses. A novel objective score matrix was calculated for each target using a linearly weighted combination of the aforementioned metrics. A histogram of optimal solutions containing the five best scores was extracted. RESULTS: A total of 7260 plans were analyzed with 121 plans per patient for the range of LD/BOT penalties. The ranges of PCI, GI, and BOT across all metastatic lesions were 0.58–0.97, 2.1–3.8, and 8.8–238 min, respectively, and were 0.13–0.97, 2.1–3.8, and 8.8–238 min, respectively, for benign lesions. The objective score matrix showed unique optimal solutions for metastatic lesions and benign lesions. Additionally, the plan metrics of the optimal solutions were significantly improved compared to the clinical plans for metastatic lesions with equivalent metrics for all other cases. CONCLUSION: In this study, FIP optimizer was evaluated to determine the optimal solution space to maximize PCI and minimize GI, BOT and OAR doses simultaneously for single metastatic/benign/non‐neoplastic targets. The optimal solution chart was determined using a novel objective score which provides novice and expert planners a roadmap to generate the most optimal plans efficiently using FIP.
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spelling pubmed-102433242023-06-07 OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery Tolakanahalli, Ranjini Wieczorek, D Jay J. Lee, Yongsook C. Tom, Martin C. Hall, Matthew D. McDermott, Michael W. Mehta, Minesh P. Kotecha, Rupesh Gutierrez, Alonso N. J Appl Clin Med Phys Radiation Oncology Physics OBJECTIVES: The objective of this study is to evaluate the user‐defined optimization settings in the Fast Inverse Planning (FIP) optimizer in Leksell GammaPlan® and determine the parameters that result in the best stereotactic radiosurgery (SRS) plan quality for brain metastases, benign tumors, and arteriovenous malformations (AVMs). METHODS: Thirty patients with metastases and 30 with benign lesions—vestibular schwannoma, AVMs, pituitary adenoma, and meningioma‐treated with SRS were evaluated. Each target was planned by varying the low dose (LD) and beam‐on‐time (BOT) penalties in increments of 0.1, from 0 to 1. The following plan quality metrics were recorded for each plan: Paddick conformity index (PCI), gradient index (GI), BOT, and maximum organ‐at‐risk (OAR) doses. A novel objective score matrix was calculated for each target using a linearly weighted combination of the aforementioned metrics. A histogram of optimal solutions containing the five best scores was extracted. RESULTS: A total of 7260 plans were analyzed with 121 plans per patient for the range of LD/BOT penalties. The ranges of PCI, GI, and BOT across all metastatic lesions were 0.58–0.97, 2.1–3.8, and 8.8–238 min, respectively, and were 0.13–0.97, 2.1–3.8, and 8.8–238 min, respectively, for benign lesions. The objective score matrix showed unique optimal solutions for metastatic lesions and benign lesions. Additionally, the plan metrics of the optimal solutions were significantly improved compared to the clinical plans for metastatic lesions with equivalent metrics for all other cases. CONCLUSION: In this study, FIP optimizer was evaluated to determine the optimal solution space to maximize PCI and minimize GI, BOT and OAR doses simultaneously for single metastatic/benign/non‐neoplastic targets. The optimal solution chart was determined using a novel objective score which provides novice and expert planners a roadmap to generate the most optimal plans efficiently using FIP. John Wiley and Sons Inc. 2023-03-01 /pmc/articles/PMC10243324/ /pubmed/36855958 http://dx.doi.org/10.1002/acm2.13936 Text en © 2023 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
Tolakanahalli, Ranjini
Wieczorek, D Jay J.
Lee, Yongsook C.
Tom, Martin C.
Hall, Matthew D.
McDermott, Michael W.
Mehta, Minesh P.
Kotecha, Rupesh
Gutierrez, Alonso N.
OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery
title OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery
title_full OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery
title_fullStr OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery
title_full_unstemmed OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery
title_short OptImal Gamma kNife lIghTnIng sOlutioN (IGNITION) score to characterize the solution space of the Gamma Knife FIP optimizer for stereotactic radiosurgery
title_sort optimal gamma knife lightning solution (ignition) score to characterize the solution space of the gamma knife fip optimizer for stereotactic radiosurgery
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243324/
https://www.ncbi.nlm.nih.gov/pubmed/36855958
http://dx.doi.org/10.1002/acm2.13936
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