Notes

Paradigm Shift in Socio-Demographic User profile of Dengue Disease: A healthcare facility Centered Cross-Sectional Review.
Using the intraclass correlation coefficient, AFNI-LLS and CAMINO-RESTORE were the least consistent with the other algorithms. By combining data across all three acquisitions and nine fits, differences between AD and HC/MCI groups were observed in the fornix and corpus callosum, indicating FA differences in these regions may be robust DTI-based biomarkers. This study demonstrates that comparisons of FA across aging populations could be confounded by variability in acquisitions and fit methodologies and that identifying the most robust DTI methodology is critical to provide more reliable DTI-based neuroimaging biomarkers for assessing microstructural changes in AD.(1) Purpose The objective was to evaluate CT perfusion and radiomic features for prediction of one year disease free survival in laryngeal and hypopharyngeal cancer. (2) Method and Materials This retrospective study included pre and post therapy CT neck studies in 36 patients with laryngeal/hypopharyngeal cancer. Tumor contouring was performed semi-autonomously by the computer and manually by two radiologists. Twenty-six radiomic features including morphological and gray-level features were extracted by an internally developed and validated computer-aided image analysis system. The five perfusion features analyzed included permeability surface area product (PS), blood flow (flow), blood volume (BV), mean transit time (MTT), and time-to-maximum (Tmax). One year persistent/recurrent disease data were obtained following the final treatment of definitive chemoradiation or after total laryngectomy. We performed a two-loop leave-one-out feature selection and linear discriminant analysis classifier with generation of receiver operating characteristic (ROC) curves and confidence intervals (CI). (3) Results 10 patients (28%) had recurrence/persistent disease at 1 year. For prediction, the change in blood flow demonstrated a training AUC of 0.68 (CI 0.47-0.85) and testing AUC of 0.66 (CI 0.47-0.85). The best features selected were a combination of perfusion and radiomic features including blood flow and computer-estimated percent volume changes-training AUC of 0.68 (CI 0.5-0.85) and testing AUC of 0.69 (CI 0.5-0.85). The laryngoscopic percent change in volume was a poor predictor with a testing AUC of 0.4 (CI 0.16-0.57). EGFR inhibitors cancer (4) Conclusions A combination of CT perfusion and radiomic features are potential predictors of one-year disease free survival in laryngeal and hypopharyngeal cancer patients.The small animal imaging Digital Imaging and Communications in Medicine (DICOM) acquisition context structured report (SR) was developed to incorporate pre-clinical data in an established DICOM format for rapid queries and comparison of clinical and non-clinical datasets. Established terminologies (i.e., anesthesia, mouse model nomenclature, veterinary definitions, NCI Metathesaurus) were utilized to assist in defining terms implemented in pre-clinical imaging and new codes were added to integrate the specific small animal procedures and handling processes, such as housing, biosafety level, and pre-imaging rodent preparation. In addition to the standard DICOM fields, the small animal SR includes fields specific to small animal imaging such as tumor graft (i.e., melanoma), tissue of origin, mouse strain, and exogenous material, including the date and site of injection. Additionally, the mapping and harmonization developed by the Mouse-Human Anatomy Project were implemented to assist co-clinical research by providing cross-reference human-to-mouse anatomies. Furthermore, since small animal imaging performs multi-mouse imaging for high throughput, and queries for co-clinical research requires a one-to-one relation, an imaging splitting routine was developed, new Unique Identifiers (UID's) were created, and the original patient name and ID were saved for reference to the original dataset. We report the implementation of the small animal SR using MRI datasets (as an example) of patient-derived xenograft mouse models and uploaded to The Cancer Imaging Archive (TCIA) for public dissemination, and also implemented this on PET/CT datasets. The small animal SR enhancement provides researchers the ability to query any DICOM modality pre-clinical and clinical datasets using standard vocabularies and enhances co-clinical studies.Ventricular septal rupture (VSR) is a rare complication of myocardial infarction (MI), open heart surgery, and cardiac-based procedures, such as septal myectomy and valve replacement. VSR is associated with high mortality rates and the reported 30-day survival rate is less than 10% without any interventional therapy. Hence, prompt diagnosis and aggressive medical treatment with appropriate surgical intervention are necessary to improve survival. Immediate surgical intervention which is the standard treatment of VSR has a mortality rate of 19-60%. Due to persistent high mortality rate and challenging management of VSR, alternatives to surgical repair has been proposed; transcatheter approach as a new alternative method has been used for the closure of post-surgery residual defects or as a bridge to surgery and in some cases as a definitive therapy instead of surgical repair. Amplatzer Occluder® (AO), a type of transcatheter closure devices, is an approved method of repairing congenital atrial septal defects and it is being used as an alternative method of treatment in VSR. In this systemic review, we assessed the cases of VSR who underwent septal repair by using AO. The study shows that the total mortality rate of percutaneous VSR repair with AO is 20% which is comparable to 19-60% rate of death in patients who undergo surgery. While early intervention is necessary to prevent biventricular dysfunction, immediate surgical intervention on soft and friable tissue surrounding the infarction increases the risk of residual shunt and reoperation. However, this study reveals that the mortality rate of primary percutaneous VSR closure within 7 days of VSR detection was 37 % which is significantly lower than 60% in surgical repair in the same period. In conclusion, given that the prevalence of residual leak in both interventions are similar and close to 20%, percutaneous VSR closure with AO device could be superior to the surgical repair as a primary intervention in unstable or high-risk surgical patients.Lemierre's syndrome (LS) is an uncommon clinical entity characterized by a primary oropharyngeal infection with subsequent septic thrombophlebitis. Diagnosis is made with clinical or radiographic evidence of internal jugular vein (IJV) thrombosis, along with metastatic focus such as lungs or joints. Life threatening thrombocytopenia in Lemierre's syndrome in the absence of disseminated intravascular coagulation (DIC) is rarely reported. We present a case of a 41-year-old woman with Lemierre's syndrome caused by beta-hemolytic group C streptococci and fusobacterium species manifested as worsening pharyngitis, IJV thrombosis, and complicated by severe thrombocytopenia.Epidemic spreading is a widely studied process due to its importance and possibly grave consequences for society. While the classical context of epidemic spreading refers to pathogens transmitted among humans or animals, it is straightforward to apply similar ideas to the spread of information (e.g., a rumor) or the spread of computer viruses. This paper addresses the question of how to optimally select nodes for monitoring in a network of timestamped contact events between individuals. We consider three optimization objectives the detection likelihood, the time until detection, and the population that is affected by an outbreak. The optimization approach we use is based on a simple greedy approach and has been proposed in a seminal paper focusing on information spreading and water contamination. We extend this work to the setting of disease spreading and present its application with two example networks a timestamped network of sexual contacts and a network of animal transports between farms. We apply the opic propagation models.Infectious disease surveillance is often case-based, focused on people diagnosed and their contacts in a predefined time window, and treated as independent across infections. Network analysis of partners and contacts joining multiple investigations and infections can reveal social or temporal trends, providing opportunities for epidemic control within broader networks. We constructed a sociosexual network of all HIV and early syphilis cases and contacts investigated among residents of 11 contiguous counties in North Carolina over a two-year period (2012-2013). We anchored the analysis on new HIV diagnoses ("indexes"), but also included nodes and edges from syphilis investigations that were within the same network component as any new HIV index. After adding syphilis investigations and deduplicating people included in multiple investigations (entity resolution), the final network comprised 1470 people 569 HIV indexes, 700 contacts to HIV indexes who were not also new cases themselves, and 201 people who were either indexes or contacts in eligible syphilis investigations. Among HIV indexes, nearly half (48%; n = 273) had no located contacts during single-investigation contact tracing, though 25 (9%) of these were identified by other network members and thus not isolated in the final multiple investigation network. Constructing a sociosexual network from cases and contacts across multiple investigations mitigated some effects of unobserved partnerships underlying the HIV epidemic and demonstrated the HIV and syphilis overlap in these networks.[This corrects the article DOI 10.1016/j.ijcha.2020.100500.][This corrects the article DOI 10.1016/j.ijcha.2019.100449.].[This corrects the article DOI 10.1016/j.ijcha.2019.100440.][This corrects the article DOI 10.1016/j.ijcha.2019.100448.][This corrects the article DOI 10.1016/j.ijcha.2019.100380.][This corrects the article DOI 10.1016/j.ijcha.2020.100549.][This corrects the article DOI 10.1016/j.ijcha.2019.100372.][This corrects the article DOI 10.1016/j.ijcha.2020.100468.].[This corrects the article DOI 10.1016/j.ijcha.2020.100561.][This corrects the article DOI 10.1016/j.ijcha.2018.12.003.][This corrects the article DOI 10.1016/j.ijcha.2020.100539.][This corrects the article DOI 10.1016/j.ijcha.2020.100477.][This corrects the article DOI 10.1016/j.ijcha.2020.100476.][This corrects the article DOI 10.1016/j.ijcha.2020.100505.][This corrects the article DOI 10.1016/j.ijcha.2020.100530.][This corrects the article DOI 10.1016/j.ijcha.2018.02.001.][This corrects the article DOI 10.1016/j.ijcha.2019.100464.][This corrects the article DOI 10.1016/j.ijcha.2019.100426.][This corrects the article DOI 10.1016/j.ijcha.2019.100418.][This corrects the article DOI 10.1016/j.ijcha.2020.100537.][This corrects the article DOI 10.1016/j.ijcha.2018.03.006.][This corrects the article DOI 10.1016/j.ijcha.2020.100540.][This corrects the article DOI 10.1016/j.ijcha.2019.100406.].Subjective cognitive decline (SCD) is receiving increasing attention as studies have suggested that SCD status is associated with risk of future cognitive decline and dementia. Population-based measures of SCD can be extremely useful to the public health community, health-care providers, researchers, and policymakers. A large population-based SCD measure now exists through the state-based Behavioral Risk Factor Surveillance System (BRFSS). All 50 states have included the cognitive decline module, which asks about SCD, to their BRFSS survey one or more times. Population measures of SCD can aid researchers in designing clinical studies by better estimating the populations that may be at risk for more severe cognitive decline based on their SCD status to ensure that the optimal groups are targeted. Population-level estimates of SCD can also help to inform health-care providers' decisions about initiating cognitive assessments, managing other conditions among those with memory problems, and identifying the needs of caregivers.
Read More: https://www.selleckchem.com/EGFR(HER).html