<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-27T13:59:29Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/13783" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/13783</identifier><datestamp>2023-08-25T10:55:20Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Vidal, Marie</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Ibáñez García, Paula Beatriz</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Guerra, P.</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Valdivieso Casique, M. F.</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Rodrigues, R.</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Illane, C.</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Udías Moinelo, José Manuel</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2023-06-17T13:34:30Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2023-06-17T13:34:30Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2019-04</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="issn">0031-9155</mods:identifier>
   <mods:identifier type="doi">10.1088/1361-6560/ab03e7</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/13783</mods:identifier>
   <mods:identifier type="officialurl">https://doi.org/10.1088/1361-6560/ab03e7</mods:identifier>
   <mods:identifier type="relatedurl">https://iopscience.iop.org/</mods:identifier>
   <mods:abstract>Low energy x-ray intra-operative radiation therapy (IORT) is used mostly for breast cancer treatment with spherical applicators. X-ray IORT treatment delivered during surgery (ex: INTRABEAM (R), Carl Zeiss) can benefit from accurate and fast dose prediction in a patient 3D volume. However, full Monte Carlo (MC) simulations are time-consuming and no commercial treatment planning system (TPS) was available for this treatment delivery technique. Therefore, the aim of this work is to develop a dose computation tool based on MC phase space information, which computes fast and accurate dose distributions for spherical and needle INTRABEAM (R) applicators. First, a database of monoenergetic phase-space (PHSP) files and depth dose profiles (DDPs) in water for each applicator is generated at factory and stored for on-site use. During commissioning of a given INTRABEAM (R) unit, the proposed fast and optimized phase-space (FOPS) generation process creates a phase-space at the exit of the applicator considered, by fitting the energy spectrum of the source to a combination of the monoenergetic precomputed phase-spaces, by means of a genetic algorithm, with simple experimental data of DDPs in water provided by the user. An in-house hybrid MC (HMC) algorithm which takes into account condensed history simulations of photoelectric, Rayleigh and Compton interactions for x-rays up to 1 MeV computes the dose from the optimized phase-space file. The whole process has been validated against radiochromic films in water as well as reference MC simulations performed with pen Easy in heterogeneous phantoms. From the pre-computed monoenergetic PHSP files and DDPs, building the PHSP file optimized to a particular depth-dose curve in water only takes a few minutes in a single core (i7@2.5 GHz), for all the applicators considered in this work, and this needs to be done only when the x-ray source (XRS) is replaced. Once the phase-space file is ready, the HMC code is able to compute dose distributions within 10 min. For all the applicators, more than 95% of voxels from dose distributions computed with the FOPS+hybrid code agreed within 7%-0.5 mm with both reference MC simulations and measurements. The method proposed has been fully validated and it is now implemented into radiance (GMV SA, Spain), the first commercial IORT TPS.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">https://creativecommons.org/licenses/by-nc-nd/3.0/es/</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">Atribución-NoComercial-SinDerivadas 3.0 España</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Fast optimized Monte Carlo phase-space generation and dose prediction for low energy x-ray intra-operative radiation therapy</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>