David Sevillano , Petar Ivaylov , Eva Fernández-Lizarbe , Juan David García , Mercedes Martín , Rafael Morís , Belén Capuz , Rafael Colmenares , Miguel Cámara , Rubén Chillida , Carlos Rodríguez-Manzaneque , Juan Trujillo , María José Béjar , Daniel Prieto , Feliciano García-Vicente
{"title":"机器人放射手术治疗多发性脑转移瘤中递送时间的放射生物学效应","authors":"David Sevillano , Petar Ivaylov , Eva Fernández-Lizarbe , Juan David García , Mercedes Martín , Rafael Morís , Belén Capuz , Rafael Colmenares , Miguel Cámara , Rubén Chillida , Carlos Rodríguez-Manzaneque , Juan Trujillo , María José Béjar , Daniel Prieto , Feliciano García-Vicente","doi":"10.1016/j.ejmp.2025.105087","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>To analyze the dose effect of the delivery time in CyberKnife Stereotactic Radiosurgery treatments. A prediction tool and methods to minimize this effect are presented.</div></div><div><h3>Methods</h3><div>Eighty CyberKnife plans of multiple brain metastases (BMs) were analyzed. The Microdosimetric Kinetic Model was used to assess the biological effectiveness of each treatment at each BM. Results were obtained in terms of relative dose (RD) between delivered and planned treatments.</div><div>A prediction algorithm of RD was developed by predicting beam delivery times of not yet delivered plans. Two strategies to optimize treatments in terms of biological effectiveness were proposed: beam reordering and treatment splitting.</div></div><div><h3>Results</h3><div>An average RD of 92.3 % (SD = 2.6 %) was obtained for our patient population. Differences between treated and predicted RD were −0.12 % (SD = 0.6 %). Beam reordering improved RD by a mean value of 5.5 % (SD = 3.3 %) with 17.3 % mean increase in overall treatment time.</div><div>Splitted treatments yielded a mean increase of 5.8 % in RD with a time increase of 35 %, while healthy brain was equally spared if treatments were delivered in different days. For those five treatments, an 8.0 % increase in RD and a 20 % increase in treatment time were obtained with reordered beams.</div></div><div><h3>Conclusions</h3><div>The effect of treatment time on the dose delivered to BMs in SRS with CyberKnife should be taken into consideration, especially when a large number of BMs are involved. This effect can be predicted and minimized by reordering beams at the cost of increasing overall treatment time.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"137 ","pages":"Article 105087"},"PeriodicalIF":2.7000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radiobiological effect of delivery time in treatments of multiple brain metastases with robotic radiosurgery\",\"authors\":\"David Sevillano , Petar Ivaylov , Eva Fernández-Lizarbe , Juan David García , Mercedes Martín , Rafael Morís , Belén Capuz , Rafael Colmenares , Miguel Cámara , Rubén Chillida , Carlos Rodríguez-Manzaneque , Juan Trujillo , María José Béjar , Daniel Prieto , Feliciano García-Vicente\",\"doi\":\"10.1016/j.ejmp.2025.105087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>To analyze the dose effect of the delivery time in CyberKnife Stereotactic Radiosurgery treatments. A prediction tool and methods to minimize this effect are presented.</div></div><div><h3>Methods</h3><div>Eighty CyberKnife plans of multiple brain metastases (BMs) were analyzed. The Microdosimetric Kinetic Model was used to assess the biological effectiveness of each treatment at each BM. Results were obtained in terms of relative dose (RD) between delivered and planned treatments.</div><div>A prediction algorithm of RD was developed by predicting beam delivery times of not yet delivered plans. Two strategies to optimize treatments in terms of biological effectiveness were proposed: beam reordering and treatment splitting.</div></div><div><h3>Results</h3><div>An average RD of 92.3 % (SD = 2.6 %) was obtained for our patient population. Differences between treated and predicted RD were −0.12 % (SD = 0.6 %). Beam reordering improved RD by a mean value of 5.5 % (SD = 3.3 %) with 17.3 % mean increase in overall treatment time.</div><div>Splitted treatments yielded a mean increase of 5.8 % in RD with a time increase of 35 %, while healthy brain was equally spared if treatments were delivered in different days. For those five treatments, an 8.0 % increase in RD and a 20 % increase in treatment time were obtained with reordered beams.</div></div><div><h3>Conclusions</h3><div>The effect of treatment time on the dose delivered to BMs in SRS with CyberKnife should be taken into consideration, especially when a large number of BMs are involved. This effect can be predicted and minimized by reordering beams at the cost of increasing overall treatment time.</div></div>\",\"PeriodicalId\":56092,\"journal\":{\"name\":\"Physica Medica-European Journal of Medical Physics\",\"volume\":\"137 \",\"pages\":\"Article 105087\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica Medica-European Journal of Medical Physics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1120179725001978\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica Medica-European Journal of Medical Physics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1120179725001978","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Radiobiological effect of delivery time in treatments of multiple brain metastases with robotic radiosurgery
Purpose
To analyze the dose effect of the delivery time in CyberKnife Stereotactic Radiosurgery treatments. A prediction tool and methods to minimize this effect are presented.
Methods
Eighty CyberKnife plans of multiple brain metastases (BMs) were analyzed. The Microdosimetric Kinetic Model was used to assess the biological effectiveness of each treatment at each BM. Results were obtained in terms of relative dose (RD) between delivered and planned treatments.
A prediction algorithm of RD was developed by predicting beam delivery times of not yet delivered plans. Two strategies to optimize treatments in terms of biological effectiveness were proposed: beam reordering and treatment splitting.
Results
An average RD of 92.3 % (SD = 2.6 %) was obtained for our patient population. Differences between treated and predicted RD were −0.12 % (SD = 0.6 %). Beam reordering improved RD by a mean value of 5.5 % (SD = 3.3 %) with 17.3 % mean increase in overall treatment time.
Splitted treatments yielded a mean increase of 5.8 % in RD with a time increase of 35 %, while healthy brain was equally spared if treatments were delivered in different days. For those five treatments, an 8.0 % increase in RD and a 20 % increase in treatment time were obtained with reordered beams.
Conclusions
The effect of treatment time on the dose delivered to BMs in SRS with CyberKnife should be taken into consideration, especially when a large number of BMs are involved. This effect can be predicted and minimized by reordering beams at the cost of increasing overall treatment time.
期刊介绍:
Physica Medica, European Journal of Medical Physics, publishing with Elsevier from 2007, provides an international forum for research and reviews on the following main topics:
Medical Imaging
Radiation Therapy
Radiation Protection
Measuring Systems and Signal Processing
Education and training in Medical Physics
Professional issues in Medical Physics.