Ivan L Cordrey, Sare Kucuk, Chester Ramsey, Joseph Bowling, Dharmin D Desai
{"title":"伽玛刀中间剂量溢出的预测模型:R50%Analytic-GK.","authors":"Ivan L Cordrey, Sare Kucuk, Chester Ramsey, Joseph Bowling, Dharmin D Desai","doi":"10.1002/acm2.14579","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Minimizing intermediate dose spill in stereotactic radiosurgery (SRS) for brain treatment is crucial. Intermediate dose spill correlates with the exposure of normal brain tissue to high doses, which increases the risk of radionecrosis. R50%, defined as the volume of the 50% of prescription isodose cloud/planning target volume, is one metric for intermediate dose spill. A predictive model for R50% in linear accelerator VMAT-delivered SRS has been developed Desai et al. (2020) and is called R50%<sub>Analytic</sub>. This study extends the R50%<sub>Analytic</sub> model to Gamma Knife (GK) delivered SRS, resulting in the R50%<sub>Analytic-GK</sub> model.</p><p><strong>Methods: </strong>Phantom calculations were performed on 11 spherical target volumes ranging from 0.001 to 44 cm<sup>3</sup> to develop the R50%<sub>Analytic-GK</sub> model. R50%<sub>Analytic-GK</sub> was tested against clinical data from 18 brain metastasis cases with one to 11 targets treated on GK Icon and planned in GammaPlan with lightning dose optimizer. Thirty-five targets with volumes between 0.011 and 27.4 cm<sup>3</sup> were analyzed by extracting the R50% achieved clinically (R50%<sub>Clinical</sub>) for comparison to the predicted intermediate dose spill from R50%<sub>Analytic-GK</sub>.</p><p><strong>Results: </strong>The predicted R50%<sub>Analytic-GK</sub> values generally represent a lower bound for the R50%<sub>Clinical</sub> values as the model would predict. The Difference, R50%<sub>Clinical</sub> - R50%<sub>Analytic-GK</sub>, has a median value of 0.92, which quantifies the lower bound nature of R50%<sub>Analytic-GK</sub>. The model reflected the character of intermediate dose spill for the clinical cases. A few outliers were likely due to specific planning complexities.</p><p><strong>Conclusion: </strong>The R50%<sub>Analytic-GK</sub> model for intermediate dose spill successfully extends the theoretical framework of R50%<sub>Analytic</sub> to GK-delivered SRS. It provides a method to predict the intermediate dose spill for GK Icon treatments. This model can aid in assessing SRS treatment plans by providing a benchmark for the intermediate dose spill for comparison.</p>","PeriodicalId":14989,"journal":{"name":"Journal of Applied Clinical Medical Physics","volume":" ","pages":"e14579"},"PeriodicalIF":2.0000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A predictive model for Gamma Knife intermediate dose spill: R50%<sub>Analytic-GK</sub>.\",\"authors\":\"Ivan L Cordrey, Sare Kucuk, Chester Ramsey, Joseph Bowling, Dharmin D Desai\",\"doi\":\"10.1002/acm2.14579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Minimizing intermediate dose spill in stereotactic radiosurgery (SRS) for brain treatment is crucial. Intermediate dose spill correlates with the exposure of normal brain tissue to high doses, which increases the risk of radionecrosis. R50%, defined as the volume of the 50% of prescription isodose cloud/planning target volume, is one metric for intermediate dose spill. A predictive model for R50% in linear accelerator VMAT-delivered SRS has been developed Desai et al. (2020) and is called R50%<sub>Analytic</sub>. This study extends the R50%<sub>Analytic</sub> model to Gamma Knife (GK) delivered SRS, resulting in the R50%<sub>Analytic-GK</sub> model.</p><p><strong>Methods: </strong>Phantom calculations were performed on 11 spherical target volumes ranging from 0.001 to 44 cm<sup>3</sup> to develop the R50%<sub>Analytic-GK</sub> model. R50%<sub>Analytic-GK</sub> was tested against clinical data from 18 brain metastasis cases with one to 11 targets treated on GK Icon and planned in GammaPlan with lightning dose optimizer. Thirty-five targets with volumes between 0.011 and 27.4 cm<sup>3</sup> were analyzed by extracting the R50% achieved clinically (R50%<sub>Clinical</sub>) for comparison to the predicted intermediate dose spill from R50%<sub>Analytic-GK</sub>.</p><p><strong>Results: </strong>The predicted R50%<sub>Analytic-GK</sub> values generally represent a lower bound for the R50%<sub>Clinical</sub> values as the model would predict. The Difference, R50%<sub>Clinical</sub> - R50%<sub>Analytic-GK</sub>, has a median value of 0.92, which quantifies the lower bound nature of R50%<sub>Analytic-GK</sub>. The model reflected the character of intermediate dose spill for the clinical cases. A few outliers were likely due to specific planning complexities.</p><p><strong>Conclusion: </strong>The R50%<sub>Analytic-GK</sub> model for intermediate dose spill successfully extends the theoretical framework of R50%<sub>Analytic</sub> to GK-delivered SRS. It provides a method to predict the intermediate dose spill for GK Icon treatments. This model can aid in assessing SRS treatment plans by providing a benchmark for the intermediate dose spill for comparison.</p>\",\"PeriodicalId\":14989,\"journal\":{\"name\":\"Journal of Applied Clinical Medical Physics\",\"volume\":\" \",\"pages\":\"e14579\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Clinical Medical Physics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/acm2.14579\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Clinical Medical Physics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/acm2.14579","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
A predictive model for Gamma Knife intermediate dose spill: R50%Analytic-GK.
Purpose: Minimizing intermediate dose spill in stereotactic radiosurgery (SRS) for brain treatment is crucial. Intermediate dose spill correlates with the exposure of normal brain tissue to high doses, which increases the risk of radionecrosis. R50%, defined as the volume of the 50% of prescription isodose cloud/planning target volume, is one metric for intermediate dose spill. A predictive model for R50% in linear accelerator VMAT-delivered SRS has been developed Desai et al. (2020) and is called R50%Analytic. This study extends the R50%Analytic model to Gamma Knife (GK) delivered SRS, resulting in the R50%Analytic-GK model.
Methods: Phantom calculations were performed on 11 spherical target volumes ranging from 0.001 to 44 cm3 to develop the R50%Analytic-GK model. R50%Analytic-GK was tested against clinical data from 18 brain metastasis cases with one to 11 targets treated on GK Icon and planned in GammaPlan with lightning dose optimizer. Thirty-five targets with volumes between 0.011 and 27.4 cm3 were analyzed by extracting the R50% achieved clinically (R50%Clinical) for comparison to the predicted intermediate dose spill from R50%Analytic-GK.
Results: The predicted R50%Analytic-GK values generally represent a lower bound for the R50%Clinical values as the model would predict. The Difference, R50%Clinical - R50%Analytic-GK, has a median value of 0.92, which quantifies the lower bound nature of R50%Analytic-GK. The model reflected the character of intermediate dose spill for the clinical cases. A few outliers were likely due to specific planning complexities.
Conclusion: The R50%Analytic-GK model for intermediate dose spill successfully extends the theoretical framework of R50%Analytic to GK-delivered SRS. It provides a method to predict the intermediate dose spill for GK Icon treatments. This model can aid in assessing SRS treatment plans by providing a benchmark for the intermediate dose spill for comparison.
期刊介绍:
Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission.
JACMP will publish:
-Original Contributions: Peer-reviewed, investigations that represent new and significant contributions to the field. Recommended word count: up to 7500.
-Review Articles: Reviews of major areas or sub-areas in the field of clinical medical physics. These articles may be of any length and are peer reviewed.
-Technical Notes: These should be no longer than 3000 words, including key references.
-Letters to the Editor: Comments on papers published in JACMP or on any other matters of interest to clinical medical physics. These should not be more than 1250 (including the literature) and their publication is only based on the decision of the editor, who occasionally asks experts on the merit of the contents.
-Book Reviews: The editorial office solicits Book Reviews.
-Announcements of Forthcoming Meetings: The Editor may provide notice of forthcoming meetings, course offerings, and other events relevant to clinical medical physics.
-Parallel Opposed Editorial: We welcome topics relevant to clinical practice and medical physics profession. The contents can be controversial debate or opposed aspects of an issue. One author argues for the position and the other against. Each side of the debate contains an opening statement up to 800 words, followed by a rebuttal up to 500 words. Readers interested in participating in this series should contact the moderator with a proposed title and a short description of the topic