Lauesen Brinch (lawyerstove9)
The use of antidepressants and statins were associated with post-stroke fatigue, while women and younger patients were more likely to develop neuropsychiatric symptoms after the stroke (p<0.05). Eighteen (30.0%) patients were diagnosed with both post-stroke fatigue and psychiatric disorders. Post-stroke fatigue and neuropsychiatric symptoms are prevalent in minor stroke and should be independently addressed as a part of the recovery goal. Post-stroke fatigue and neuropsychiatric symptoms are prevalent in minor stroke and should be independently addressed as a part of the recovery goal. Patients with cancer experience significant psychological distress. IM156 Most studies investigated individual risk factors for distress in their respective treatment setting, which limit generalizability of results or comparison of relative importance. To investigate the relation between psychological distress in patients referred to a psycho-oncology clinic and its correlates in a comprehensive manner. Medical charts of patients who visited the psycho-oncology clinic at a tertiary hospital from May 2019 to May 2020 were reviewed. Demographic, cancer-related, and psychiatric factors; health-related quality of life; and somatic pain were investigated. The Hospital Anxiety and Depression Scale, item 9 on the Patient Health Questionnaire-9, Functional Assessment of Cancer Therapy-General, Present Pain Intensity, and Distress Thermometer were measured at the index visit. Simple and multiple linear regression analyses were performed with the Distress Thermometer score as a dependent variable. A total of 454 patdistress if they had female genital cancer, low health-related quality of life score, severe anxiety, or somatic pain.We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model2 for automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR imaging (bpMRI). Deep attention mechanisms drive its detection network, targeting salient structures and highly discriminative feature dimensions across multiple resolutions. Its goal is to accurately identify csPCa lesions from indolent cancer and the wide range of benign pathology that can afflict the prostate gland. Simultaneously, a decoupled residual classifier is used to achieve consistent false positive reduction, without sacrificing high sensitivity or computational efficiency. In order to guide model generalization with domain-specific clinical knowledge, a probabilistic anatomical prior is used to encode the spatial prevalence and zonal distinction of csPCa. Using a large dataset of 1950 prostate bpMRI paired with radiologically-estimated annotations, we hypothesize that such CNN-based models can be trained to detect biopsy-confirmed malignancies in an independent cohort. For 486 institutional testing scans, the 3D CAD system achieves 83.69±5.22% and 93.19±2.96% detection sensitivity at 0.50 and 1.46 false positive(s) per patient, respectively, with 0.882±0.030 AUROC in patient-based diagnosis -significantly outperforming four state-of-the-art baseline architectures (U-SEResNet, UNet++, nnU-Net, Attention U-Net) from recent literature. For 296 external biopsy-confirmed testing scans, the ensembled CAD system shares moderate agreement with a consensus of expert radiologists (76.69%; kappa = 0.51±0.04) and independent pathologists (81.08%; kappa = 0.56±0.06); demonstrating strong generalization to histologically-confirmed csPCa diagnosis.The conversion of epithelial cells into mesenchymal ones, through a process known as epithelial-mesenchymal transition (or EMT) is a reversible process involved in critical steps of animal development as early as gastrulation and throughout organogenesis. In pathological conditions such as aggressive cancers, EMT is often associated with increased drug resistance, motility and invasiveness. The characterisation of the upstream signals and main deci
