@article{WoźnickiLaquaMessmeretal.2022,
  author    = {Wo{\'{z}}nicki, Piotr and Laqua, Fabian Christopher and Messmer, Katharina and Kunz, Wolfgang Gerhard and Stief, Christian and N{\"o}renberg, Dominik and Schreier, Andrea and W{\´o}jcik, Jan and Ruebenthaler, Johannes and Ingrisch, Michael and Ricke, Jens and Buchner, Alexander and Schulz, Gerald Bastian and Gresser, Eva},
  title     = {Radiomics for the prediction of overall survival in patients with bladder cancer prior to radical cystectomy},
  series = {Cancers},
  volume    = {14},
  journal   = {Cancers},
  number    = {18},
  issn      = {2072-6694},
  doi       = {10.3390/cancers14184449},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288098},
  year      = {2022},
  abstract  = {(1) Background: To evaluate radiomics features as well as a combined model with clinical parameters for predicting overall survival in patients with bladder cancer (BCa). (2) Methods: This retrospective study included 301 BCa patients who received radical cystectomy (RC) and pelvic lymphadenectomy. Radiomics features were extracted from the regions of the primary tumor and pelvic lymph nodes as well as the peritumoral regions in preoperative CT scans. Cross-validation was performed in the training cohort, and a Cox regression model with an elastic net penalty was trained using radiomics features and clinical parameters. The models were evaluated with the time-dependent area under the ROC curve (AUC), Brier score and calibration curves. (3) Results: The median follow-up time was 56 months (95\% CI: 48-74 months). In the follow-up period from 1 to 7 years after RC, radiomics models achieved comparable predictive performance to validated clinical parameters with an integrated AUC of 0.771 (95\% CI: 0.657-0.869) compared to an integrated AUC of 0.761 (95\% CI: 0.617-0.874) for the prediction of overall survival (p = 0.98). A combined clinical and radiomics model stratified patients into high-risk and low-risk groups with significantly different overall survival (p < 0.001). (4) Conclusions: Radiomics features based on preoperative CT scans have prognostic value in predicting overall survival before RC. Therefore, radiomics may guide early clinical decision-making.},
  language  = {en}
}
@article{FabritiusWoelferHerzbergetal.2021,
  author    = {Fabritius, Matthias Philipp and W{\"o}lfer, Teresa A. and Herzberg, Moriz and Tiedt, Steffen and Puhr-Westerheide, Daniel and Grosu, Sergio and Maurus, Stefan and Geyer, Thomas and Curta, Adrian and Kellert, Lars and K{\"u}pper, Clemens and Liebig, Thomas and Ricke, Jens and Dimitriadis, Konstantinos and Kunz, Wolfgang G. and Zimmermann, Hanna and Reidler, Paul},
  title     = {Course of early neurologic symptom severity after endovascular treatment of anterior circulation large vessel occlusion stroke: association with baseline multiparametric CT imaging and clinical parameters},
  series = {Diagnostics},
  volume    = {11},
  journal   = {Diagnostics},
  number    = {7},
  issn      = {2075-4418},
  doi       = {10.3390/diagnostics11071272},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-242681},
  year      = {2021},
  abstract  = {Background: Neurologic symptom severity and deterioration at 24 hours (h) predict long-term outcomes in patients with acute large vessel occlusion (LVO) stroke of the anterior circulation. We aimed to examine the association of baseline multiparametric CT imaging and clinical factors with the course of neurologic symptom severity in the first 24 h after endovascular treatment (EVT). Methods: Patients with LVO stroke of the anterior circulation were selected from a prospectively acquired consecutive cohort of patients who underwent multiparametric CT, including non-contrast CT, CT angiography and CT perfusion before EVT. The symptom severity was assessed on admission and after 24 h using the 42-point National Institutes of Health Stroke Scale (NIHSS). Clinical and imaging data were compared between patients with and without early neurological deterioration (END). END was defined as an increase in ≥4 points, and a significant clinical improvement as a decrease in ≥4 points, compared to NIHSS on admission. Multivariate regression analyses were used to determine independent associations of imaging and clinical parameters with NIHSS score increase or decrease in the first 24 h. Results: A total of 211 patients were included, of whom 38 (18.0\%) had an END. END was significantly associated with occlusion of the internal carotid artery (odds ratio (OR), 4.25; 95\% CI, 1.90-9.47) and the carotid T (OR, 6.34; 95\% CI, 2.56-15.71), clot burden score (OR, 0.79; 95\% CI, 0.68-0.92) and total ischemic volume (OR, 1.01; 95\% CI, 1.00-1.01). In a comprehensive multivariate analysis model including periprocedural parameters and complications after EVT, carotid T occlusion remained independently associated with END, next to reperfusion status and intracranial hemorrhage. Favorable reperfusion status and small ischemic core volume were associated with clinical improvement after 24 h. Conclusions: The use of imaging parameters as a surrogate for early NIHSS progression in an acute LVO stroke after EVT reached limited performance with only carotid T occlusion as an independent predictor of END. Reperfusion status and early complications in terms of intracranial hemorrhage are critical factors that influence patient outcome in the acute stroke phase after EVT.},
  language  = {en}
}