Alastair Crossley, Karen Habermann, Emma Horton, Jere Koskela, Andreas E. Kyprianou, Sarah Osman
{"title":"用于描述质子束放射治疗布拉格峰特征的跳跃式随机微分方程","authors":"Alastair Crossley, Karen Habermann, Emma Horton, Jere Koskela, Andreas E. Kyprianou, Sarah Osman","doi":"arxiv-2409.06965","DOIUrl":null,"url":null,"abstract":"Proton beam radiotherapy stands at the forefront of precision cancer\ntreatment, leveraging the unique physical interactions of proton beams with\nhuman tissue to deliver minimal dose upon entry and deposit the therapeutic\ndose precisely at the so-called Bragg peak, with no residual dose beyond this\npoint. The Bragg peak is the characteristic maximum that occurs when plotting\nthe curve describing the rate of energy deposition along the length of the\nproton beam. Moreover, as a natural phenomenon, it is caused by an increase in\nthe rate of nuclear interactions of protons as their energy decreases. From an\nanalytical perspective, Bortfeld proposed a parametric family of curves that\ncan be accurately calibrated to data replicating the Bragg peak in one\ndimension. We build, from first principles, the very first mathematical model\ndescribing the energy deposition of protons. Our approach uses stochastic\ndifferential equations and affords us the luxury of defining the natural\nanalogue of the Bragg curve in two or three dimensions. This work is purely\ntheoretical and provides a new mathematical framework which is capable of\nencompassing models built using Geant4 Monte Carlo, at one extreme, to pencil\nbeam calculations with Bortfeld curves at the other.","PeriodicalId":501245,"journal":{"name":"arXiv - MATH - Probability","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Jump stochastic differential equations for the characterisation of the Bragg peak in proton beam radiotherapy\",\"authors\":\"Alastair Crossley, Karen Habermann, Emma Horton, Jere Koskela, Andreas E. Kyprianou, Sarah Osman\",\"doi\":\"arxiv-2409.06965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proton beam radiotherapy stands at the forefront of precision cancer\\ntreatment, leveraging the unique physical interactions of proton beams with\\nhuman tissue to deliver minimal dose upon entry and deposit the therapeutic\\ndose precisely at the so-called Bragg peak, with no residual dose beyond this\\npoint. The Bragg peak is the characteristic maximum that occurs when plotting\\nthe curve describing the rate of energy deposition along the length of the\\nproton beam. Moreover, as a natural phenomenon, it is caused by an increase in\\nthe rate of nuclear interactions of protons as their energy decreases. From an\\nanalytical perspective, Bortfeld proposed a parametric family of curves that\\ncan be accurately calibrated to data replicating the Bragg peak in one\\ndimension. We build, from first principles, the very first mathematical model\\ndescribing the energy deposition of protons. Our approach uses stochastic\\ndifferential equations and affords us the luxury of defining the natural\\nanalogue of the Bragg curve in two or three dimensions. This work is purely\\ntheoretical and provides a new mathematical framework which is capable of\\nencompassing models built using Geant4 Monte Carlo, at one extreme, to pencil\\nbeam calculations with Bortfeld curves at the other.\",\"PeriodicalId\":501245,\"journal\":{\"name\":\"arXiv - MATH - Probability\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.06965\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Jump stochastic differential equations for the characterisation of the Bragg peak in proton beam radiotherapy
Proton beam radiotherapy stands at the forefront of precision cancer
treatment, leveraging the unique physical interactions of proton beams with
human tissue to deliver minimal dose upon entry and deposit the therapeutic
dose precisely at the so-called Bragg peak, with no residual dose beyond this
point. The Bragg peak is the characteristic maximum that occurs when plotting
the curve describing the rate of energy deposition along the length of the
proton beam. Moreover, as a natural phenomenon, it is caused by an increase in
the rate of nuclear interactions of protons as their energy decreases. From an
analytical perspective, Bortfeld proposed a parametric family of curves that
can be accurately calibrated to data replicating the Bragg peak in one
dimension. We build, from first principles, the very first mathematical model
describing the energy deposition of protons. Our approach uses stochastic
differential equations and affords us the luxury of defining the natural
analogue of the Bragg curve in two or three dimensions. This work is purely
theoretical and provides a new mathematical framework which is capable of
encompassing models built using Geant4 Monte Carlo, at one extreme, to pencil
beam calculations with Bortfeld curves at the other.