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Software publication: Range-shift prediction with prompt gamma timing in clinically realistic proton therapy fields

Kieslich, Aaron Markus; Makarevich, Krystsina; Zwanenburg, Alex; Kögler, Toni; Löck, Steffen


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  <identifier identifierType="DOI">10.14278/rodare.4575</identifier>
  <creators>
    <creator>
      <creatorName>Kieslich, Aaron Markus</creatorName>
      <givenName>Aaron Markus</givenName>
      <familyName>Kieslich</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0000-2227-2013</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Makarevich, Krystsina</creatorName>
      <givenName>Krystsina</givenName>
      <familyName>Makarevich</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5199-3901</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Zwanenburg, Alex</creatorName>
      <givenName>Alex</givenName>
      <familyName>Zwanenburg</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0342-9545</nameIdentifier>
      <affiliation>OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Kögler, Toni</creatorName>
      <givenName>Toni</givenName>
      <familyName>Kögler</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9501-0898</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Löck, Steffen</creatorName>
      <givenName>Steffen</givenName>
      <familyName>Löck</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7017-3738</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Software publication: Range-shift prediction with prompt gamma timing in clinically realistic proton therapy fields</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject>proton radiotherapy</subject>
    <subject>treatment verification</subject>
    <subject>prompt gamma-ray timing</subject>
    <subject>machine learning</subject>
    <subject>multivariate modelling</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2026-03-25</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4575</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-43176</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-43854</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4574</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/health</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/oncoray</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/restrictedAccess">Restricted Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This software supports the study &amp;ldquo;Range-shift prediction with prompt gamma timing in clinically realistic proton therapy fields&amp;rdquo;. It provides a Snakemake-based workflow for processing prompt gamma timing measurements, extracting histogram features, developing and selecting regression models, and evaluating proton range-shift predictions. The release includes preprocessing routines, the final prediction model, performance evaluation scripts, and configuration files to support reproduction of the study&amp;rsquo;s analyses.&lt;/p&gt;</description>
  </descriptions>
</resource>
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