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@ARTICLE{Wessendorf:302010,
      author       = {J. Wessendorf and A.-M. Spektor and B. Aboulmaouahib and J.
                      Daum and F. M. Glatting and K. Schlamp and M. Grott and F.
                      Eichhorn and C. P. Heußel and H. U. Kauczor and M. Kreuter
                      and M. Schreckenberger and H. Winter and U. Haberkorn$^*$
                      and M. Röhrich},
      title        = {{I}mage analysis: 68{G}a-{FAPI}-46 {PET} derived texture
                      parameters improve the differentiation of malignant and
                      benign pulmonary lesions.},
      journal      = {Cancer imaging},
      volume       = {25},
      number       = {1},
      issn         = {1470-7330},
      address      = {London},
      publisher    = {BioMed Central},
      reportid     = {DKFZ-2025-01208},
      pages        = {73},
      year         = {2025},
      abstract     = {Pulmonary lesions inconclusive in 18F-FDG PET/CT are a
                      known clinical problem. Both texture analysis and
                      68Ga-FAPI-46 have shown potential in thoracic oncological
                      problems but their combination has not been assessed yet.
                      This initial analysis aims to evaluate the utility of
                      68Ga-FAPI-46 PET texture parameters to differentiate between
                      lung cancer and benign pulmonary lesions inconclusive in
                      18F-FDG PET/CT.20 histologically confirmed pulmonary lesions
                      (13 lung cancer, 7 benign) in 19 patients were evaluated.
                      All patients underwent an inconclusive 18F-FDG PET/CT before
                      68Ga-FAPI-46 PET/CT. 64 texture parameters and conventional
                      parameters (SUVs, TBRs) were analyzed. Texture parameters
                      with significant (P < 0.05) differences between lung cancer
                      and benign lesions were detected by the Mann-Whitney U test.
                      Boxplots and a scatter plot matrix were created. Principal
                      component analyses and Spearman correlations were performed.
                      Receiver operating characteristics curves with area under
                      the curve (AUC) values were created for univariable and
                      bivariable logistic regression.The texture parameters HIST
                      Maximum grey level (AUC = 0.901), HIST Mean (AUC = 0.802),
                      HIST Mode (AUC = 0.835), HIST Range (AUC = 0.901) and GLCM
                      Information correlation 1 (AUC = 0.824) showed significant
                      differences between lung cancer and benign pulmonary
                      lesions. AUC values of conventional parameters (SUVmax,
                      SUVmean, TBR(SUVmax), TBR(SUVmean)) were 0.791, 0.868, 0.802
                      and 0.857, respectively. Maximum AUC values of bivariable
                      logistic regression were 0.967 and 0.978 for two texture
                      parameters and the combination of conventional and texture
                      parameters, respectively. Correlations between texture
                      parameter pairs were mainly moderate (0.4≤ρ≤0.59). 2/5
                      texture parameters (HIST Mean, HIST Mode) displayed no very
                      strong correlations (0.8≤ρ≤1.00) to any conventional
                      parameters or lesion volume.68Ga-FAPI-46 PET texture
                      parameters show great potential to differentiate between
                      lung cancer and benign pulmonary lesions inconclusive in
                      18F-FDG/PET. Spearman correlations indicate additional
                      information value of texture parameters.},
      keywords     = {Humans / Lung Neoplasms: diagnostic imaging / Lung
                      Neoplasms: pathology / Female / Male / Middle Aged / Aged /
                      Positron Emission Tomography Computed Tomography: methods /
                      Diagnosis, Differential / Gallium Radioisotopes /
                      Fluorodeoxyglucose F18 / Radiopharmaceuticals / Aged, 80 and
                      over / Adult / Image analysis (Other) / Lung cancer (Other)
                      / Pulmonary lesion (Other) / Texture analysis (Other) /
                      Gallium Radioisotopes (NLM Chemicals) / Fluorodeoxyglucose
                      F18 (NLM Chemicals) / Radiopharmaceuticals (NLM Chemicals)},
      cin          = {E060},
      ddc          = {610},
      cid          = {I:(DE-He78)E060-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40506754},
      doi          = {10.1186/s40644-025-00886-w},
      url          = {https://inrepo02.dkfz.de/record/302010},
}