View in EDS HTML Full Text PDF Full Text

Simulation-free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study.

Saved in:
Bibliographic Details
Title: Simulation-free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study.
Authors: Zhu L; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA., Yu NY; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA., Ahmed SK; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA., Ashman JB; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA., Toesca DS; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA., Grams MP; Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA., Deufel CL; Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA., Duan J; Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, Alabama, USA., Chen Q; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA., Rong Y; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
Source: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2025 Jul; Vol. 26 (7), pp. e70137. Date of Electronic Publication: 2025 Jun 12.
Publication Type: Journal Article
Journal Info: Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40504103
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Simulation-free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhu+L%22">Zhu L</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Yu+NY%22">Yu NY</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Ahmed+SK%22">Ahmed SK</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Ashman+JB%22">Ashman JB</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Toesca+DS%22">Toesca DS</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Grams+MP%22">Grams MP</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.<br /><searchLink fieldCode="AU" term="%22Deufel+CL%22">Deufel CL</searchLink>; Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.<br /><searchLink fieldCode="AU" term="%22Duan+J%22">Duan J</searchLink>; Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.<br /><searchLink fieldCode="AU" term="%22Chen+Q%22">Chen Q</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Rong+Y%22">Rong Y</searchLink>; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101089176%22">Journal of applied clinical medical physics</searchLink> [J Appl Clin Med Phys] 2025 Jul; Vol. 26 (7), pp. e70137. <i>Date of Electronic Publication: </i>2025 Jun 12.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley+on+behalf+of+American+Association+of+Physicists+in+Medicine%22">Wiley on behalf of American Association of Physicists in Medicine </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101089176 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1526-9914 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215269914%22">15269914 </searchLink><i>NLM ISO Abbreviation: </i>J Appl Clin Med Phys <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40504103
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/acm2.70137
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e70137
    Titles:
      – TitleFull: Simulation-free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhu L
      – PersonEntity:
          Name:
            NameFull: Yu NY
      – PersonEntity:
          Name:
            NameFull: Ahmed SK
      – PersonEntity:
          Name:
            NameFull: Ashman JB
      – PersonEntity:
          Name:
            NameFull: Toesca DS
      – PersonEntity:
          Name:
            NameFull: Grams MP
      – PersonEntity:
          Name:
            NameFull: Deufel CL
      – PersonEntity:
          Name:
            NameFull: Duan J
      – PersonEntity:
          Name:
            NameFull: Chen Q
      – PersonEntity:
          Name:
            NameFull: Rong Y
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2025 Jul
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1526-9914
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Journal of applied clinical medical physics
              Type: main
ResultId 1