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@ARTICLE{Richlitzki:299589,
      author       = {C. Richlitzki and F. Manapov and A. Holzgreve and M. Rabe
                      and R. A. Werner and C. Belka$^*$ and M. Unterrainer and C.
                      Eze},
      title        = {{A}dvances of {PET}/{CT} in {T}arget {D}elineation of
                      {L}ung {C}ancer {B}efore {R}adiation {T}herapy.},
      journal      = {Seminars in nuclear medicine},
      volume       = {55},
      number       = {2},
      issn         = {0001-2998},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2025-00530},
      pages        = {190-201},
      year         = {2025},
      note         = {2025 Mar;55(2):190-201},
      abstract     = {In the clinical management of lung cancer, radiotherapy
                      remains a cornerstone of multimodal treatment strategies,
                      often used alongside surgery or in combination with systemic
                      therapies such as chemotherapy, tyrosine kinase inhibitors,
                      and immune checkpoint inhibitors. While conventional imaging
                      modalities like computed tomography (CT) and magnetic
                      resonance imaging (MRI) continue to play a central role in
                      staging, response assessment, and radiotherapy planning,
                      advanced imaging techniques, particularly [18F]FDG PET/CT,
                      are being increasingly integrated into routine clinical
                      practice. These advanced techniques address the limitations
                      of standard imaging by providing insight into molecular and
                      metabolic tumor characteristics, enabling precise tumor
                      visualization, accurate target volume delineation, and early
                      treatment response assessment. This review examines the role
                      of radiotherapy in the multidisciplinary management of lung
                      cancer, detailing current concepts of morphological and
                      functional imaging for staging and treatment planning. It
                      also highlights the growing importance of PET-based
                      radiotherapy planning, emphasizing its contributions to
                      target volume definition and predictive value for treatment
                      outcomes. Recent methodological advances, including the
                      integration of artificial intelligence (AI), radiomics,
                      technical innovations, and novel PET ligands, are discussed,
                      highlighting their potential to improve the precision,
                      efficacy, and personalization of lung cancer radiotherapy
                      planning.},
      subtyp        = {Review Article},
      cin          = {MU01},
      ddc          = {610},
      cid          = {I:(DE-He78)MU01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40064578},
      doi          = {10.1053/j.semnuclmed.2025.02.013},
      url          = {https://inrepo02.dkfz.de/record/299589},
}