@article{WernerMarcusSheikhbahaeietal.2018,
  author    = {Werner, Rudolf A. and Marcus, Charles and Sheikhbahaei, Sara and Solnes, Lilja B. and Leal, Jeffrey P. and Du, Yong and Rowe, Steven P. and Higuchi, Takahiro and Buck, Andreas K. and Lapa, Constantin and Javadi, Mehrbod S.},
  title     = {Visual and Semiquantitative Accuracy in Clinical Baseline 123I-Ioflupane SPECT/CT Imaging},
  series = {Clinical Nuclear Medicine},
  volume    = {44},
  journal   = {Clinical Nuclear Medicine},
  number    = {1},
  issn      = {1536-0229},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168181},
  year      = {2018},
  abstract  = {PURPOSE: We aimed to (a) elucidate the concordance of visual assessment of an initial I-ioflupane scan by a human interpreter with comparison to results using a fully automatic semiquantitative method and (b) to assess the accuracy compared to follow-up (f/u) diagnosis established by movement disorder specialists. METHODS: An initial I-ioflupane scan was performed in 382 patients with clinically uncertain Parkinsonian syndrome. An experienced reader performed a visual evaluation of all scans independently. The findings of the visual read were compared with semiquantitative evaluation. In addition, available f/u clinical diagnosis (serving as a reference standard) was compared with results of the human read and the software. RESULTS: When comparing the semiquantitative method with the visual assessment, discordance could be found in 25 (6.5\%) of 382 of the cases for the experienced reader (ĸ = 0.868). The human observer indicated region of interest misalignment as the main reason for discordance. With neurology f/u serving as reference, the results of the reader revealed a slightly higher accuracy rate (87.7\%, ĸ = 0.75) compared to semiquantification (86.2\%, ĸ = 0.719, P < 0.001, respectively). No significant difference in the diagnostic performance of the visual read versus software-based assessment was found. CONCLUSIONS: In comparison with a fully automatic semiquantitative method in I-ioflupane interpretation, human assessment obtained an almost perfect agreement rate. However, compared to clinical established diagnosis serving as a reference, visual read seemed to be slightly more accurate as a solely software-based quantitative assessment.},
  subject      = {SPECT},
  language  = {en}
}
@article{WernerBundschuhHiguchietal.2018,
  author    = {Werner, Rudolf A. and Bundschuh, Ralph A. and Higuchi, Takahiro and Javadi, Mehrbod S. and Rowe, Steven P. and Zs{\´o}t{\´e}r, Norbert and Kroiss, Matthias and Fassnacht, Martin and Buck, Andreas K. and Kreissl, Michael C. and Lapa, Constantin},
  title     = {Volumetric and Texture Analysis of Pretherapeutic \(^{18}\)F-FDG PET can Predict Overall Survival in Medullary Thyroid Cancer Patients Treated with Vandetanib},
  series = {Endocrine},
  journal   = {Endocrine},
  issn      = {1355-008X},
  doi       = {10.1007/s12020-018-1749-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-167910},
  year      = {2018},
  abstract  = {Purpose: The metabolically most active lesion in 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) PET/CT can predict progression-free survival (PFS) in patients with medullary thyroid carcinoma (MTC) starting treatment with the tyrosine kinase inhibitor (TKI) vandetanib. However, this metric failed in overall survival (OS) prediction. In the present proof of concept study, we aimed to explore the prognostic value of intratumoral textural features (TF) as well as volumetric parameters (total lesion glycolysis, TLG) derived by pre-therapeutic \(^{18}\)F-FDG PET. Methods: Eighteen patients with progressive MTC underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after vandetanib initiation. By manual segmentation of the tumor burden at baseline and follow-up PET, intratumoral TF and TLG were computed. The ability of TLG, imaging-based TF, and clinical parameters (including age, tumor marker doubling times, prior therapies and RET (rearranged during transfection) mutational status) for prediction of both PFS and OS were evaluated. Results: The TF Complexity and the volumetric parameter TLG obtained at baseline prior to TKI initiation successfully differentiated between low- and high-risk patients. Complexity allocated 10/18 patients to the high-risk group with an OS of 3.3y (vs. low-risk group, OS=5.3y, 8/18, AUC=0.78, P=0.03). Baseline TLG designated 11/18 patients to the high-risk group (OS=3.5y vs. low-risk group, OS=5y, 7/18, AUC=0.83, P=0.005). The Hazard Ratio for cancer-related death was 6.1 for Complexity (TLG, 9.5). Among investigated clinical parameters, the age at initiation of TKI treatment reached significance for PFS prediction (P=0.02, OS, n.s.). Conclusions: The TF Complexity and the volumetric parameter TLG are both independent parameters for OS prediction.},
  subject      = {Positronen-Emissions-Tomografie},
  language  = {en}
}