Application of a new spectral deconvolution method for in vitro dosimetry in assessment of targeted alpha therapy

Author:

Doudard Alexis1,Corroyer‐Dulmont Aurélien23,Jaudet Cyril2,Bernaudin Myriam3,Valable Samuel3,Ledoux Xavier1,Frelin‐Labalme Anne‐Marie1

Affiliation:

1. Grand Accélérateur National d'Ions Lourds (GANIL), CEA/DRF CNRS/IN2P3 Caen France

2. Medical Physics Department CLCC François Baclesse Caen France

3. Normandie Univ, UNICAEN, CNRS, ISTCT, GIP CYCERON Caen France

Abstract

AbstractBackgroundThe improvement of in vitro assessment of targeted alpha therapy (reproducibility, comparability of experiments…) requires precise evaluation of the dose delivered to the cells. To answer this need, a previous study proposed an innovative dosimetry method based on α‐spectroscopy and a specific deconvolution process to recover the spatial distribution of 212Pb isotopes inside in vitro culture wells. Nevertheless, although promising, the deconvolution method was time consuming and only tested for a simple isotope decay chain.PurposeThe purpose of this work is to propose a new matrix deconvolution method of α spectra based on a constrained‐non‐negative‐maximum‐likelihood decomposition, both faster and offering a greater modelling flexibility, allowing to study independently the kinetics of each of the daughter nuclides of complex decay chains (illustrated here with 223Ra) in in vitro culture wells.MethodsFirstly, the performance of the new method was fully evaluated through Monte Carlo simulations of in vitro irradiations. Different spatial distributions of 212Pb and 223Ra, the corresponding α spectra measured by a silicon detector and the doses delivered to the cells were simulated with Geant4. The deconvolution results were then compared to the simulation results. Secondly, measurements were carried out in culture wells without cells containing 15 kBq of 212Pb or 9.3 kBq of 223Ra, placed above silicon detectors recording α spectra in real time. The matrix deconvolution was then applied to determine the spatial and temporal distribution of all α‐emitting daughters of studied isotopes.ResultsThe matrix deconvolution was proved to recover the simulated distribution gradients, ensuring simulated doses within 3 % for both tested radionuclides, with errors on dose normally distributed around the reference value (consequently not exhibiting any bias), even in the case of complex decay chains as 223Ra. The experimental study of 212Pb and 223Ra showed highly inhomogeneous distributions and time evolution of the concentration gradients, consistent with the previous study. Furthermore, it highlighted the complex kinetics of 223Ra with different distributions of its α‐emitting daughters (219Rn, 215Po, 215At, 211Bi, 211Po).ConclusionsThis study validates a new deconvolution method, fast and flexible, that proved to be accurate and reliable. This method allowed to reveal the complexity of isotopes kinetics in in vitro experiments, especially with complex decay chains. Experimental dosimetry, necessary to improve reliability of in vitro studies in targeted alpha therapy, is demonstrated to be feasible with the proposed method.

Publisher

Wiley

Subject

General Medicine

Reference24 articles.

1. Which radionuclide, carrier molecule and clinical indication for alpha‐immunotherapy?;Guerard F;Q J Nucl Med Mol Imaging Off Publ Ital Assoc Nucl Med AIMN Int Assoc Radiopharmacol IAR Sect Soc Of,2015

2. Revisiting the Radiobiology of Targeted Alpha Therapy

3. Toxicity and Relative Biological Effectiveness of Alpha Emitting Radioimmunoconjugates

4. Production and Supply of α-Particle–Emitting Radionuclides for Targeted α-Therapy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3