View clinical trials related to Screening.
Filter by:This study aims to investigate the pathological characteristics and surgical outcomes of stage III CRC patients detected through screening. Data extracted from the database included the following patient information: age at diagnosis, gender, tumor location, neoadjuvant therapy, surgical procedures, histologic type, differentiation, vascular invasion, perineural invasion, pathological T stage, pathological N stage, and survival outcomes.
Artificial intelligence (AI) is fast gaining reputation as a highly promising solution for cervical cancer screening. AI-based detection of cervical neoplasias is named automated visual exam (AVE) by the National Cancer Institute, USA. The investigators propose to develop and evaluate the performance characteristics of a novel AI system to both screen and triage women as well as help in treatment decision making. AI will analyse infrared spectroscopic signals derived from urine samples of unscreened women for the presence of high-risk human papillomavirus (hr-HPV). Our preliminary study has shown that spectroscopy can detect hr-HPV in urine. For screen-positive women the AI will interpret a set of cervical images captured with a high-quality devoted camera to detect high grade cervical precancers and cancers and to determine the type of transformation zone (TZ) (helps in treatment decision). The prototype device for image capture and the AI algorithms are already developed by us. The technologies will be further improved in part 1 (initial 2 years) and validated in part 2 (subsequent 3 years). During Part 1, the investigators will analyse urine samples collected from 1100 women at multiple screening clinics in Zimbabwe for the presence of hr-HPV using spectroscopy and use the signals generated to improve the AI algorithm. In this part the investigators will also assess the concordance between hr-HPV detection in urine samples using spectroscopy and cervical human papillomavirus (HPV) detection using a validated HPV test. The cervical image recognition device and the AI algorithm will be further improved during part 1 by collecting more images from hr-HPV positive and negative women. AI will also be trained to interpret the cervical images to determine the TZ type. In part 2 total 2100 women will be screened in Zimbabwe with AI-supported spectroscopic analysis of urine to detect hr-HPV and a validated HPV test to evaluate and compare their sensitivity and specificity to detect histology-proved high grade cervical precancers and cancers. The sensitivity and specificity of AI-supported detection of cervical neoplasias on cervical images will be evaluated to triage the HPV positive women. The accuracy of AI to determine TZ type will be compared with expert opinion. During the field validation part (part 2), the investigators will also conduct a cost analysis and compare cost of our approach to current standard Zimbabwean practice. The International Agency for Research on Cancer- World Health Organization WHO (IARC-WHO) has partnered with The Neo Sense Vector Company (NSV), Delaware, USA (industry), The Engineering Department, Lancaster University, Lancaster, UK and The University of Zimbabwe, College of Health Sciences, Harare, Zimbabwe to implement this study focusing on innovation that will greatly contribute to the global elimination of cervical cancer, a WHO priority.
Mortality due to cardiovascular disease (CVD) in Spain accounted for 29% of all deaths (32% in women and 26% in men) in 2017. Out of those, 67% were related to a coronary or a cerebrovascular disease . A key strategy in primary prevention of CVD is to use risk functions to individualize preventive interventions for each patient. The current CV risk-screening program in some regions of Spain, is based using an adapted Framingham scale, REGICOR's risk function, which is integrated in the primary care electronic health record. This risk function predicts the probability within 10 years of developing a coronary event. However, this function fails to identify patients that fall into low- or intermediate-risk level, and might develop a CV event in the up following 10 years. Ankle-brachial index (ABI) is a simple, non-invasive and economic technique, which allows detecting peripheral arterial disease (PAD), and gives independent risk function information compared to other coronary risk functions. Even tough, between 13-27% of middle age population have an ABI ≤ 9, around 50-89% of them do not exhibit any symptoms. However, they hold higher mortality risk and CV events. Current clinical guidelines for PAD screening, have a limited level of evidence, and only recommend using ABI on patients aged 50-70, who have diabetes or are smokers, and patients older than 70 years old. A new risk function, REASON, to assess CVD risk has been designed. This model has proven to improve predictive capacity of holding an ABI ≤ 0.9 on those patients aged 50-74 that are apparently free of CVD. Therefore, a strategy that combines the current CV risk estimation using REGICOR, and the prediction capacity of pathologic ABI with REASON, would allow detecting high-risk patients with a PAD screening program. It is possible that patients, who hold an ABI ≤ 0.9, even if being asymptomatic, will adopt physician's recommendations on healthy life habits and preventive treatment. The aims of this study are: - To assess the effectiveness and cost-utility of adding a screening program with ABI to the current strategy of CV risk detection to reduce the incidence of CVD and mortality from all causes in the population aged 50 to 74. - To assess the effectiveness of adding a screening program with ABI to the current strategy of CV risk detection to improve cardiovascular risk factors in the population aged 50 to 74.
The main objective of the study is to evaluate the pertinence of initiating screening for advanced hepatic fibrosis after a FIB4 result > 2.67 automatically calculated in the local laboratory and followed by a specialized hepatic evaluation.
This study aims to compare the accuracy of evaluating diabetic retinopathy using ultra-widefield fundus images versus two-field fundus images. The hypothesis is that screening and grading diabetic retinopathy based on ultra-widefield fundus images may yield higher accuracy compared to the use of two-field fundus images.
This is a monocentric, single blind, interventional, single arm study. It is designed to compare the rates of detection of hepatocellular carcinoma (HCC) by ultrasound (US) used in clinical routine vs. abbreviated magnetic resonance imaging (AMRI). The hypothesis is that dynamic AMRI with extracellular contrast agent injection has a higher patient-level detection rate of HCC than screening US and non-contrast AMRI. Interested and eligible patients will be enrolled and undergo HCC screening rounds including US +/- contrast-enhanced US (clinical routine) and screening MRI within the same week bi-annually.
The aim of this study is to evaluate a universal cCMV screening programme in the first trimester of pregnancy in primary care in Catalonia (Spain).
It is a cluster randomized control trial to assess the effectiveness of the cervical cancer stigma reduction intervention on cancer stigma score and cervical cancer screening uptake in Nepal
An international multicenter study to prospectively validate the association between sonographic GTC and subsequent breast cancer risk in women with dense breasts.
In this study, we will use the SpotLight-19 device in patients presenting to a coronavirus disease (COVID-19) Assessment Centre for polymerase chain reaction (PCR) testing. Consenting patients will undergo a Spotlight-19 scan. We will link the scan to PCR results, age, vaccination status, and COVID-19 symptoms in order to calibrate the SpotLight-19 prediction algorithm of a state of COVID-19 infection.