Peter Dasiukevich, Sebastian Tattenberg, Cornelia Hoehr, Abdelkhalek Hammi
{"title":"Secondary cancer risk in head-and-neck cancer patients: A comparison of RBE-weighted proton therapy and photon therapy","authors":"Peter Dasiukevich, Sebastian Tattenberg, Cornelia Hoehr, Abdelkhalek Hammi","doi":"10.1002/mp.17705","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Secondary cancer is a serious side effect from external beam radiotherapy (EBRT). Conventional EBRT is performed using a beam of photons, however, due to their ability to produce more conformal dose distributions, the use of protons is becoming more wide-spread. Due to this sparing it would be expected that proton therapy could be associated with lower secondary cancer rates compared to photon therapy. However, since proton therapy data is still being accumulated and the follow-up period is often relatively short thus far, simulation studies can complement the existing data and extrapolate to longer time frames.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>This study aims to estimate and compare the risk of secondary cancer when treating head-and-neck cancer patients with proton therapy or photon therapy, while combining a whole-body computational human phantom with the patient treatment planning computed tomography (CT) scan in order to study organs that are partially or fully outside of the treatment planning CT. In addition, proton therapy secondary cancer rates are investigated further by including variable relative biological effectiveness (RBE) models.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>For 20 head-and-neck cancer patients, two clinical radiotherapy treatment plans were created, one for proton therapy and one for photon therapy. For proton therapy, linear energy transfer (LET) distributions were simulated and used to calculate the variable RBE-weighted dose distributions for six different variable RBE models, in addition to the constant RBE of 1.1 widely used clinically. In order to obtain the dose deposited outside the treatment planning CT scan, an adjustable whole-body digital reference phantom was stitched to the treatment planning CT. Based on the resulting dose distributions, the risk of secondary cancer was calculated for each modality.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Averaged across all patients and relevant organs, photon therapy compared to proton therapy with a constant RBE of 1.1 was estimated to be 1.8 times more likely to cause secondary cancer. This risk ratio varied between 1.6 and 2.0, depending on the variable RBE model used. Cases with lifetime attributable risk (LAR) values below 0.1% were excluded from this analysis to prevent the benefits of proton therapy (the ratio <span></span><math>\n <semantics>\n <mfrac>\n <mrow>\n <mi>L</mi>\n <mi>A</mi>\n <msub>\n <mi>R</mi>\n <mrow>\n <mi>p</mi>\n <mi>h</mi>\n <mi>o</mi>\n <mi>t</mi>\n <mi>o</mi>\n <mi>n</mi>\n </mrow>\n </msub>\n </mrow>\n <mrow>\n <mi>L</mi>\n <mi>A</mi>\n <msub>\n <mi>R</mi>\n <mrow>\n <mi>p</mi>\n <mi>r</mi>\n <mi>o</mi>\n <mi>t</mi>\n <mi>o</mi>\n <mi>n</mi>\n </mrow>\n </msub>\n </mrow>\n </mfrac>\n <annotation>$\\frac{LAR_{photon}}{LAR_{proton}}$</annotation>\n </semantics></math>) from being artificially elevated in cases in which <span></span><math>\n <semantics>\n <mrow>\n <mi>L</mi>\n <mi>A</mi>\n <msub>\n <mi>R</mi>\n <mrow>\n <mi>p</mi>\n <mi>r</mi>\n <mi>o</mi>\n <mi>t</mi>\n <mi>o</mi>\n <mi>n</mi>\n </mrow>\n </msub>\n <mo>≈</mo>\n <mn>0</mn>\n </mrow>\n <annotation>$LAR_{proton}\\approx 0$</annotation>\n </semantics></math>.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Proton therapy was associated with lower estimated secondary cancer rates compared to photon therapy when treating head-and-neck cancer patients. This trend was observed even when considering different variable RBE models to calculate the proton therapy dose distributions.</p>\n </section>\n </div>","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 5","pages":"3461-3470"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17705","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical physics","FirstCategoryId":"3","ListUrlMain":"https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.17705","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Secondary cancer is a serious side effect from external beam radiotherapy (EBRT). Conventional EBRT is performed using a beam of photons, however, due to their ability to produce more conformal dose distributions, the use of protons is becoming more wide-spread. Due to this sparing it would be expected that proton therapy could be associated with lower secondary cancer rates compared to photon therapy. However, since proton therapy data is still being accumulated and the follow-up period is often relatively short thus far, simulation studies can complement the existing data and extrapolate to longer time frames.
Purpose
This study aims to estimate and compare the risk of secondary cancer when treating head-and-neck cancer patients with proton therapy or photon therapy, while combining a whole-body computational human phantom with the patient treatment planning computed tomography (CT) scan in order to study organs that are partially or fully outside of the treatment planning CT. In addition, proton therapy secondary cancer rates are investigated further by including variable relative biological effectiveness (RBE) models.
Methods
For 20 head-and-neck cancer patients, two clinical radiotherapy treatment plans were created, one for proton therapy and one for photon therapy. For proton therapy, linear energy transfer (LET) distributions were simulated and used to calculate the variable RBE-weighted dose distributions for six different variable RBE models, in addition to the constant RBE of 1.1 widely used clinically. In order to obtain the dose deposited outside the treatment planning CT scan, an adjustable whole-body digital reference phantom was stitched to the treatment planning CT. Based on the resulting dose distributions, the risk of secondary cancer was calculated for each modality.
Results
Averaged across all patients and relevant organs, photon therapy compared to proton therapy with a constant RBE of 1.1 was estimated to be 1.8 times more likely to cause secondary cancer. This risk ratio varied between 1.6 and 2.0, depending on the variable RBE model used. Cases with lifetime attributable risk (LAR) values below 0.1% were excluded from this analysis to prevent the benefits of proton therapy (the ratio ) from being artificially elevated in cases in which .
Conclusion
Proton therapy was associated with lower estimated secondary cancer rates compared to photon therapy when treating head-and-neck cancer patients. This trend was observed even when considering different variable RBE models to calculate the proton therapy dose distributions.
背景:继发性癌症是体外放射治疗(EBRT)的严重副作用。传统的EBRT是使用光子束进行的,然而,由于它们能够产生更适形的剂量分布,质子的使用正变得越来越广泛。由于这种节省,可以预期质子治疗与光子治疗相比,可能与较低的继发性癌症发生率相关。然而,由于质子治疗数据仍在积累中,随访期通常相对较短,因此模拟研究可以补充现有数据并推断更长的时间框架。目的:本研究旨在评估和比较质子治疗或光子治疗头颈癌患者继发性癌症的风险,同时将全身计算人体幻影与患者治疗计划计算机断层扫描(CT)相结合,以研究部分或完全不在治疗计划CT外的器官。此外,质子治疗继发性癌症的发生率进一步研究包括可变相对生物有效性(RBE)模型。方法:对20例头颈部肿瘤患者,制定质子治疗和光子治疗两种临床放疗治疗方案。对于质子治疗,模拟线性能量转移(LET)分布,并用于计算六种不同的可变RBE模型的可变RBE加权剂量分布,以及临床上广泛使用的恒定RBE 1.1。为了获得治疗计划CT扫描外沉积的剂量,将可调节的全身数字参考幻影缝合到治疗计划CT上。根据得到的剂量分布,计算每种方式的继发性癌症风险。结果:在所有患者和相关器官中,光子治疗与恒定RBE为1.1的质子治疗相比,估计继发性癌症的可能性高1.8倍。这一风险比在1.6到2.0之间变化,取决于所使用的可变RBE模型。终生归因危险度(LAR)值低于0.1的病例% were excluded from this analysis to prevent the benefits of proton therapy (the ratio L A R p h o t o n L A R p r o t o n $\frac{LAR_{photon}}{LAR_{proton}}$ ) from being artificially elevated in cases in which L A R p r o t o n ≈ 0 $LAR_{proton}\approx 0$ .Conclusion: Proton therapy was associated with lower estimated secondary cancer rates compared to photon therapy when treating head-and-neck cancer patients. This trend was observed even when considering different variable RBE models to calculate the proton therapy dose distributions.
期刊介绍:
Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments
Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.