@article{MihatschBeissertPomperetal.2022,
  author    = {Mihatsch, Patrick W. and Beissert, Matthias and Pomper, Martin G. and Bley, Thorsten A. and Seitz, Anna K. and K{\"u}bler, Hubert and Buck, Andreas K. and Rowe, Steven P. and Serfling, Sebastian E. and Hartrampf, Philipp E. and Werner, Rudolf A.},
  title     = {Changing threshold-based segmentation has no relevant impact on semi-quantification in the context of structured reporting for PSMA-PET/CT},
  series = {Cancers},
  volume    = {14},
  journal   = {Cancers},
  number    = {2},
  issn      = {2072-6694},
  doi       = {10.3390/cancers14020270},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-254782},
  year      = {2022},
  abstract  = {Prostate-specific membrane antigen (PSMA)-directed positron emission tomography/computed tomography (PET/CT) is increasingly utilized for staging of men with prostate cancer (PC). To increase interpretive certainty, the standardized PSMA reporting and data system (RADS) has been proposed. Using PSMA-RADS, we characterized lesions in 18 patients imaged with \(^{18}\)F-PSMA-1007 PET/CT for primary staging and determined the stability of semi-quantitative parameters. Six hundred twenty-three lesions were categorized according to PSMA-RADS and manually segmented. In this context, PSMA-RADS-3A (soft-tissue) or -3B (bone) lesions are defined as being indeterminate for the presence of PC. For PMSA-RADS-4 and -5 lesions; however, PC is highly likely or almost certainly present [with further distinction based on absence (PSMA-RADS-4) or presence (PSMA-RADS-5) of correlative findings on CT]. Standardized uptake values (SUV\(_{max}\), SUV\(_{peak}\), SUV\(_{mean}\)) were recorded, and volumetric parameters [PSMA-derived tumor volume (PSMA-TV); total lesion PSMA (TL-PSMA)] were determined using different maximum intensity thresholds (MIT) (40 vs. 45 vs. 50\%). SUV\(_{max}\) was significantly higher in PSMA-RADS-5 lesions compared to all other PSMA-RADS categories (p ≤ 0.0322). In particular, the clinically challenging PSMA-RADS-3A lesions showed significantly lower SUV\(_{max}\) and SUV\(_{peak}\) compared to the entire PSMA-RADS-4 or -5 cohort (p < 0.0001), while for PSMA-RADS-3B this only applies when compared to the entire PSMA-RADS-5 cohort (p < 0.0001), but not to the PSMA-RADS-4 cohort (SUV\(_{max}\), p = 0.07; SUV\(_{peak}\), p = 0.08). SUV\(_{mean}\) (p = 0.30) and TL-PSMA (p = 0.16) in PSMA-RADS-5 lesions were not influenced by changing the MIT, while PSMA-TV showed significant differences when comparing 40 vs. 50\% MIT (p = 0.0066), which was driven by lymph nodes (p = 0.0239), but not bone lesions (p = 0.15). SUV\(_{max}\) was significantly higher in PSMA-RADS-5 lesions compared to all other PSMA-RADS categories in \(^{18}\)F-PSMA-1007 PET/CT. As such, the latter parameter may assist the interpreting molecular imaging specialist in assigning the correct PSMA-RADS score to sites of disease, thereby increasing diagnostic certainty. In addition, changes of the MIT in PSMA-RADS-5 lesions had no significant impact on SUV\(_{mean}\) and TL-PSMA in contrast to PSMA-TV.},
  language  = {en}
}
@article{BuhlBeissertGaffaletal.2020,
  author    = {Buhl, Timo and Beissert, Stefan and Gaffal, Evelyn and Goebeler, Matthias and Hertl, Michael and Mauch, Cornelia and Reich, Kristian and Schmidt, Enno and Sch{\"o}n, Michael P. and Sticherling, Michael and Sunderk{\"o}tter, Cord and Traidl-Hoffmann, Claudia and Werfel, Thomas and Wilsman-Theis, Dagmar and Worm, Margitta},
  title     = {COVID-19 and implications for dermatological and allergological diseases},
  series = {JDDG: Journal der Deutschen Dermatologischen Gesellschaft},
  volume    = {18},
  journal   = {JDDG: Journal der Deutschen Dermatologischen Gesellschaft},
  number    = {8},
  doi       = {10.1111/ddg.14195},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-217860},
  pages     = {815 -- 824},
  year      = {2020},
  abstract  = {COVID-19, caused by the coronavirus SARS-CoV-2, has become pandemic. A further level of complexity opens up as soon as we look at diseases whose pathogenesis and therapy involve different immunological signaling pathways, which are potentially affected by COVID-19. Medical treatments must often be reassessed and questioned in connection with this infection. This article summarizes the current knowledge of COVID-19 in the light of major dermatological and allergological diseases. It identifies medical areas lacking sufficient data and draws conclusions for the management of our patients during the pandemic. We focus on common chronic inflammatory skin diseases with complex immunological pathogenesis: psoriasis, eczema including atopic dermatitis, type I allergies, autoimmune blistering and inflammatory connective tissue diseases, vasculitis, and skin cancers. Since several other inflammatory skin diseases display related or comparable immunological reactions, clustering of the various inflammatory dermatoses into different disease patterns may help with therapeutic decisions. Thus, following these patterns of skin inflammation, our review may supply treatment recommendations and thoughtful considerations for disease management even beyond the most frequent diseases discussed here.},
  language  = {en}
}