Zimmermanburch9991

042), and symbol digit modalities test (SDMT p = 0.027) significantly differed following application of p9NORM. In PD patients, the TMT-A (p less then 0.001), TMT-B (p = 0.001), and AM (p = 0.001) differed after correction. PD and MSA showed cognitive impairment relative to HC performance. When comparing MSA with PD, the SDMT, AM, and fluencies were similar. TMT-A and -B raw scores were different between groups (p = 0.006; p = 0.034), but these differences lost significance after p9NORM corrections (p = 0.100; p = 0.186). Conclusions We confirm that the p9NORM can be successfully used in both PD and MSA patients, as it mitigates the impact of disability on timed tests, resulting in a more accurate analysis of cognitive domains.Background This study aimed at exploring high-risk factors associated with survival outcomes in patients with advanced primary laryngeal carcinoma and at developing and validating a survival-predicting model to help to select the appropriate treatment for each patient. Methods Data of patients with advanced primary laryngeal cancer in 2003-2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. High-risk factors were identified and integrated to build a nomogram, which was internally validated using bootstrap and externally validated with a patient cohort from China. The impact of various treatments was examined on model-defined high-, moderate- and low-risk patient groups, respectively. Results A total of 6070 patients were analyzed. Patients' age, gender, tumor T stage, N stage, and differentiation grade were recognized and integrated into the model. The concordance index of this model (0.602) was significantly higher than that of the TNM staging system (0.547). The calibration curve showed a good agreement between model-predicted and actual survival outcomes. Patients were categorized into three different subgroups with incremental risks of overall mortality. The roles of three treatment strategies in these subgroups are varied. Conclusion In this large SEER-based study, we established a practical model to predict overall survival for patients with advanced primary laryngeal cancer. For patients identified as high-risk and moderate-risk, surgery plus adjuvant therapy is recommended, while for patients in the low-risk group, surgery alone plus regular re-examination is recommended as the primary treatment strategy.Purpose The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC). Methods 50 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after nCRT, the values of pre-nCRT and post-nCRT IVIM-DWI parameters apparent diffusion coefficient (ADC), diffusion coefficient (D), false diffusion coefficient (D*), and perfusion fraction (f), together with the percentage changes (∆% parametric value) induced by nCRT were calculated. According to the patient's response to nCRT, the patients were divided into pathological complete response (pCR) and non-pCR groups, Good Response (GR) group and Poor Response (PR) group, and the above values were compared between different groups. Univariate and multiple logistic regression analysis were done to investigate the relation between different parameters and patient nCRT. Draw ROC curve according to sensitivity and specificity, and compare its diagnostic efficacy. Results There were no significant differences in the baseline data of 50 patients. After nCRT, the ADC and D values for LARC increased significantly (all p less then 0.05). The pCR group (n = 9) had higher preD*, pref, postD*, ∆%ADC and ∆%D values than the non-pCR group (n = 41) (all p less then 0.05). The GR group (n = 17) exhibited higher post D, ∆%ADC and ∆%D values than the PR group (n = 33) (all p less then 0.05). From the results of Logistic regression analysis found that ∆%ADC and ∆%D were significantly correlated with patients' response to nCRT. Based on ROC analysis, ∆%D had a higher area under the curve value than ∆%ADC (p = 0.009) in discriminating the pCR from non-pCR groups. Conclusions IVIM-DWI technology may be helpful in identifying the pCR and GR patients to nCRT for LARC.Background Multiple quantitative magnetic resonance imaging (MRI) methods have been described to noninvasively detect and characterize liver fibrosis, including diffusion-weighted imaging (DWI). Purpose To evaluate associations between liver MRI DWI apparent diffusion coefficient (ADC) values and clinical factors and other quantitative liver MRI metrics in pediatric patients with autoimmune liver disease (AILD). Materials and methods Fifty-seven research liver MRI examinations performed from January 2017 to August 2018 for pediatric AILD registry participants were evaluated. Liver DWI ADC values, liver and spleen stiffness (kPa), and iron-corrected T1 (cT1; Perspectum Diagnostics) were measured at four anatomic levels. Participant age, sex, and laboratory data (alanine aminotransferase [ALT], total bilirubin, alkaline phosphatase, gamma-glutamyl transferase [GGT]) were recorded. Spearman's rank-order correlation (rho) and multiple linear regression were used to evaluate the associations between liver ADC values and predictor variables. Results Mean (SD) participant age was 14.8 (4.0) years, 45.6% (26/57) were girls. SGC 0946 Mean liver DWI ADC value was 1.34 (0.14 × 10-3) mm2/s. Liver ADC values showed weak to moderate correlations with liver stiffness (r = - 0.42, p = 0.001), spleen stiffness (r = - 0.34; p = 0.015), whole-liver mean cT1 (r = - 0.39; p = 0.007), ALT (r = - 0.50; p = 0.0001), and GGT (r = - 0.48; p = 0.0004). Multiple linear regression showed liver stiffness (p = 0.0009) and sex (p = 0.023) to be independent predictors of liver ADC values. Conclusion Liver DWI ADC values are significantly associated with liver and spleen stiffnesses, liver cT1, ALT, GGT, and participant sex, with liver stiffness and sex remaining significant at multivariable regression. Liver ADC ultimately may play a role in multi-parametric prediction of chronic liver disease/fibrosis severity.