Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

https://www.medpagetoday.com/upload/2008/3/6/CRC.pdf

Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology.

The physical principles underlying some current biomedical applications of magnetic nanoparticles are reviewed. Starting from well-known basic concepts, and drawing on examples from biology and biomedicine, the relevant physics of magnetic materials and their responses to applied magnetic fields are surveyed. The way these properties are controlled and used is illustrated with reference to (i) magnetic separation of labelled cells and other biological entities; (ii) therapeutic drug, gene and radionuclide delivery; (iii) radio frequency methods for the catabolism of tumours via hyperthermia; and (iv) contrast enhancement agents for magnetic resonance imaging applications. Future prospects are also discussed.

https://iopscience.iop.org/article/10.1088/0022-3727/36/13/201/pdf

Applications of magnetic nanoparticles in biomedicine

The aim was to develop clinical guidelines for multi-parametric MRI of the prostate by a group of prostate MRI experts from the European Society of Urogenital Radiology (ESUR), based on literature evidence and consensus expert opinion. True evidence-based guidelines could not be formulated, but a compromise, reflected by “minimal” and “optimal” requirements has been made. The scope of these ESUR guidelines is to promulgate high quality MRI in acquisition and evaluation with the correct indications for prostate cancer across the whole of Europe and eventually outside Europe. The guidelines for the optimal technique and three protocols for “detection”, “staging” and “node and bone” are presented. The use of endorectal coil vs. pelvic phased array coil and 1.5 vs. 3 T is discussed. Clinical indications and a PI-RADS classification for structured reporting are presented. Key Points
 • This report provides guidelines for magnetic resonance imaging (MRI) in prostate cancer. • Clinical indications, and minimal and optimal imaging acquisition protocols are provided. • A structured reporting system (PI-RADS) is described.

https://link.springer.com/content/pdf/10.1007%2Fs00330-011-2377-y.pdf

ESUR prostate MR guidelines 2012

Thank you very much for downloading applied longitudinal data analysis modeling change and event occurrence. As you may know, people have look hundreds times for their favorite novels like this applied longitudinal data analysis modeling change and event occurrence, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer.

Applied Longitudinal Data Analysis Modeling Change And Event Occurrence

The evaluation of upper gastrointestinal motility requires either invasive techniques or ionizing radiation. Videofluoroscopy offers the opportunity to examine the oropharynx and cervical esophagus in patients who are at risk for aspiration due to swallowing difficulty. Because of the drawback of ionizing radiation exposure, repeated evaluation, especially in children, can be problematic.

MRI of Upper GI Tract Motility

Trapianto cardiaco: controllo post-operatorio

Role of Non-Functional Imaging in the Diagnosis of Abdominal Neuroendocrine Tumors

Multidetector Computed Tomography (CT) plays a pivotal role in the evaluation of liver pathologies due to its fast acquisition time, thinner image thickness and narrow collimation, resulting in high temporal and spatial resolution, fundamental to detect subtle liver lesions and to optimize radiation exposure.

Computed Tomography of the Liver

This work aims to realize a computer-aided method in order to correctly predict and classify complete responders (CRs) patients, with rectal cancer diseases diagnosed and treated with neoadjuvant radiochemotherapy (RCT), employing the tumor regression grade (MR-TRG) estimated by magnetic resonance imaging. The study involved a total of 65 patients and a 3.0 Tesla scanner was employed to perform the magnetic resonance (MR) examinations in order to calculate TRG. The automatic method, by processing and testing patients' data, allows to determine the optimum threshold dividing CRs patients from patients that are considered non responders. To automatically determine the best testing rule, a cross-validation statistical analysis was carried out to evaluate the prediction accuracy of the classifier. The algorithm collected the outcomes of the performed cross-validation analysis and the obtained results show the percentages of correct instances and misclassified patients. A sensitivity analysis has also been carried out to study the effect of non-optimum thresholds in the classification procedure. The computer-aided classification of CRs appears to be feasible and it may represent a helpful method to recognize CRs patients, supporting clinicians performing disease prognoses and patient survival expectations in order to provide treatments' customization.

Andrea Laghi

Papers

MRI of Upper GI Tract Motility

Trapianto cardiaco: controllo post-operatorio

Role of Non-Functional Imaging in the Diagnosis of Abdominal Neuroendocrine Tumors

Computed Tomography of the Liver

Mr Image Processing to Predict Complete Responders by Evaluating the Tumor Regression Grade: A Sensitivity Analysis