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@ARTICLE{Watanabe:274138,
      author       = {M. Watanabe$^*$ and R. Ashida and C. Miyakoshi and S.
                      Arizono and T. Suga and S. Kanao and K. Kitamura and T.
                      Ogawa and R. Ishikura},
      title        = {{P}rognostic analysis of curatively resected pancreatic
                      cancer using harmonized positron emission tomography
                      radiomic features.},
      journal      = {European journal of hybrid imaging},
      volume       = {7},
      number       = {1},
      issn         = {2510-3636},
      address      = {London},
      publisher    = {SpringerOpen},
      reportid     = {DKFZ-2023-00448},
      pages        = {5},
      year         = {2023},
      abstract     = {Texture features reflecting tumour heterogeneity enable us
                      to investigate prognostic factors. The R package ComBat can
                      harmonize the quantitative texture features among several
                      positron emission tomography (PET) scanners. We aimed to
                      identify prognostic factors among harmonized PET radiomic
                      features and clinical information from pancreatic cancer
                      patients who underwent curative surgery.Fifty-eight patients
                      underwent preoperative enhanced dynamic computed tomography
                      (CT) scanning and fluorodeoxyglucose PET/CT using four PET
                      scanners. Using LIFEx software, we measured PET radiomic
                      parameters including texture features with higher order and
                      harmonized these PET parameters. For progression-free
                      survival (PFS) and overall survival (OS), we evaluated
                      clinical information, including age, TNM stage, and neural
                      invasion, and the harmonized PET radiomic features based on
                      univariate Cox proportional hazard regression. Next, we
                      analysed the prognostic indices by multivariate Cox
                      proportional hazard regression (1) by using either
                      significant (p < 0.05) or borderline significant (p =
                      0.05-0.10) indices in the univariate analysis (first
                      multivariate analysis) or (2) by using the selected features
                      with random forest algorithms (second multivariate
                      analysis). Finally, we checked these multivariate results by
                      log-rank test.Regarding the first multivariate analysis for
                      PFS after univariate analysis, age was the significant
                      prognostic factor (p = 0.020), and MTV and GLCM contrast
                      were borderline significant (p = 0.051 and 0.075,
                      respectively). Regarding the first multivariate analysis of
                      OS, neural invasion, Shape sphericity and GLZLM LZLGE were
                      significant (p = 0.019, 0.042 and 0.0076). In the second
                      multivariate analysis, only MTV was significant (p = 0.046)
                      for PFS, whereas GLZLM LZLGE was significant (p = 0.047),
                      and Shape sphericity was borderline significant (p = 0.088)
                      for OS. In the log-rank test, age, MTV and GLCM contrast
                      were borderline significant for PFS (p = 0.08, 0.06 and
                      0.07, respectively), whereas neural invasion and Shape
                      sphericity were significant (p = 0.03 and 0.04,
                      respectively), and GLZLM LZLGE was borderline significant
                      for OS (p = 0.08).Other than the clinical factors, MTV and
                      GLCM contrast for PFS and Shape sphericity and GLZLM LZLGE
                      for OS may be prognostic PET parameters. A prospective
                      multicentre study with a larger sample size may be
                      warranted.},
      keywords     = {Complete surgery (Other) / FDG PET/CT (Other) /
                      Harmonization (Other) / Overall survival (Other) / PET
                      radiomics (Other) / Pancreatic cancer (Other) /
                      Progression-free survival (Other) / Random forest (Other)},
      cin          = {ED01},
      ddc          = {610},
      cid          = {I:(DE-He78)ED01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:36872413},
      doi          = {10.1186/s41824-023-00163-8},
      url          = {https://inrepo02.dkfz.de/record/274138},
}