View clinical trials related to Diagnosis.
Filter by:The aim of this study is to propose an intelligent diagnosis and treatment system for for pelvic floor dysfunction in elderly women. The main question it aims to answer: 1) How can the investigators find out early if older women have different pelvic floor muscle functions? 2）How can the investigators give personalized treatment plans based on differences in pelvic floor function? Participants will be assigned different training programs by the system. The investigators will compare the treatment effects and costs of older women with pelvic floor dysfunction using and not using the system. All the participants will be offered examinations for pelvic floor function and different treatments. All examinations and treatments are non-invasive.
The aim of this Study is to collect radiologist feedback to support the further development and improvement of the imaging modes implemented on the embedded software in the SuperSonic® Ultrasound System (including the probe).
Early diagnosis of cancer is key for improving patient outcomes, but cancers are difficult to diagnose if patients present with unspecific symptoms. The principal objective of the MEDECA (Markers in Early Detection of Cancer) study is to identify a multi-analyte blood test that can detect and map occult cancer within a mixed population of patients presenting with serious but unspecific symptoms. The study will include 1500 patients referred to the Diagnostic Center at Danderyd Hospital (DC DS), a multidisciplinary diagnostic center referral pathway for patients with radiological findings suggestive of metastasis without known primary tumor or suspicion of serious but unspecific symptoms. Blood samples are collected prior to a standardized and extensive cancer diagnostic work-up, including an expanded panel of biochemical analyses and extensive imaging such as computed tomography or magnetic resonance investigations. In collaboration with world-leading international scientists, the blood samples will be analyzed for a panel of novel and established blood biomarkers predictive of an underlying cancer, including markers of neutrophil extracellular traps, circulating tumor DNA, platelet mRNA profiling, affinity-based proteomics and nuclear magnetic resonance metabolomics. The diagnostic accuracy of the blood biomarkers with respect to cancer detection during the diagnostic work-up will be analyzed through machine learning.
This study aims to validate a novel antibiotic susceptibility test (InSignia) for gonorrhoea in patient clinical samples. The hypothesis is that the InSignia test will be able to detect transcriptional responses after incubation in antibiotic for susceptible strains and not resistant strains. Furthermore, this study will also add to our understanding on the performance of this test in various clinical specimens.
The aim of this exploratory study is to further investigate the potential of acoustic emission biomarkers, assessed by the inmodi knee brace, to diagnose osteoarthritis (OA) at earlier stages. Therefore, 20 healthy participants and 100 patients with increased risk of knee OA will be recruited from the Schulthess Klinik in Zurich and examined twice with 9 ± 3 months' time interval. Anthropometric data, EOS radiographs and MR images of both knees, PROMs and acoustic emission data will be collected and evaluated. Artificial Intelligence algorithm will then be used to identify and validate the most promising acoustic emission biomarkers with a prognosis value in the prediction of knee osteoarthritis progress.
Non-small cell lung cancer (NSCLC), occupying a disquieting position as the second most prevalent and deadliest neoplasm worldwide, afflicts an estimated 30% of its patients with intracranial metastatic spread. Among these, leptomeningeal metastasis (LM) is an exceptionally surreptitious and perilous manifestation, often evading timely and accurate diagnosis. The clinical landscape is further complicated by the presence of patients who, due to various reasons, are unable to undergo lumbar puncture, a procedure crucial for the investigation of LM. Moreover, even when cerebrospinal fluid (CSF) analysis via conventional cytological and immunohistochemical methods is attempted, a definitive diagnosis of LM may remain elusive in a subset of cases. Intrathecal chemotherapy, particularly via the administration of pemetrexed, which has demonstrated both notable efficacy and an acceptable safety profile when delivered directly into the cerebrospinal space, constitutes a cornerstone of treatment for NSCLC-LM. Despite its importance, the lack of robust, validated biomarkers to gauge the therapeutic response to such interventions represents a significant knowledge gap. This deficit is compounded by the inherent challenges associated with CSF samples, including their limited availability and the suboptimal sensitivity and high resource demands of current ctDNA assessment techniques. To address these pressing diagnostic and monitoring needs in NSCLC-LM management, the investigator proposes a forward-looking, non-interventional clinical study harnessing the power of cutting-edge proteomic technologies. These platforms, characterized by their high throughput, exquisite sensitivity, and minimal sample volume requirements, offer a promising avenue for elucidating the intricacies of chemotherapy response in intrathecal therapy. The study aims to provide valuable insights into improving diagnostic accuracy for LM in NSCLC patients and to establish a more rigorous framework for assessing treatment efficacy in individuals undergoing intrathecal chemotherapy, ultimately contributing to enhanced patient care and personalized therapeutic strategies.
It is important to diagnose pulmonary embolism in a timely manner to prevent death and long-term disability. More than half a million people (4-5% of emergency department patients) are tested for pulmonary embolism, although positive results are low. Imaging for PE testing exposes patients to radiation, is expensive, adds time to the emergency visit, and can lead to a false positive diagnoses. Existing protocols aimed at reducing unnecessary pulmonary embolism imaging are complex and seldom used by emergency physicians. Too many patients undergo unnecessary pulmonary embolism imaging. We have created a new tool (called Adjust-Unlikely) which could safely reduce pulmonary embolism imaging in Canada. Our research group composed of researchers, emergency physicians, and patients developed the Adjust-Unlikely clinical decision rule: a rule which has been customized for emergency physicians and emergency patients. Adjust-Unlikely is highly sensitive at the bedside, meaning there are very few false negative results. Our study aim is to prospectively validate Adjust-Unlikely pulmonary embolism testing in emergency patients with suspected pulmonary embolism.
72 adult patients who underwent lumbar spine anteroposterior DXA and QCT examinations at Qianfoshan Hospital in Shandong Province from January 2019 to December 2022 were selected, with an interval of no more than 3 months between the two examinations for the same patient. 1. Record the patient's age, gender, height, and weight; Review the patient's past medical history (especially whether there is a history of brittle fractures, whether there is a history of using drugs that affect bone metabolism, etc.). 2. Retrieve the bone density values of the anterior lumbar vertebrae 1 to 4 measured by GE Healthcare Lunar Prodigy dual energy X-ray absorptiometry from the database, and take the average (DXA bone density value). According to the diagnostic criteria of the Diagnosis and Treatment Guidelines for Primary Osteoporosis (2022), determine whether the patient has normal bone mass, decreased bone mass, or osteoporosis. 3. Identify the lumbar spine bone density values (QCT bone density values) measured by the GE Gemstone CTHD750 CT instrument from the database. According to the diagnostic criteria of the Chinese Quantitative CT (QCT) Diagnosis Guidelines for Osteoporosis (2018), determine whether the patient has normal bone mass, decreased bone mass, or osteoporosis. 4. Statistical analysis was conducted on the normal bone density, bone loss, and number of osteoporosis diagnosed by DXA and QCT respectively, in order to explore the differences in the detection rates of osteoporosis between these two monitoring methods. The data was analyzed and processed using SPSS 21.0 statistical software, and the count data was expressed as a rate (%) χ 2-test, P<0.05 indicates statistically significant difference; Explore whether the difference in detection rates between the two is related to factors such as weight; Calculate the detection rates of osteoporosis using two detection methods in patients who have experienced brittle fractures, and preliminarily determine which detection method is more accurate in determining osteoporosis.
- This study aim to develope a diagnostic method of pancreatic cancer by using a reagent for analyzing purine metabolite (Hypoxanthine, Xanthine) in urine. - It is safe and cost effective compare to radiologic or blood test. It can be used for initial screening test for healty population.
Aim of the study: To evaluate the value of Probe Confocal Laser Endomicroscopy (PCLE) in surgery for pancreatic tumor. Methods: Patients who are diagnosed with pancreatic tumor based on preoperative radiographic findings and will undergo radical resection are included in this clinical study. PCLE will be used in surgery to identify tumor is malignant or not, and surgeons will decide procedures of surgery based on outcomes of PCLE. In this present study, clinical trials will be divided into two phases. In the first phase, based on the definitive postoperative pathologic diagnosis, characteristic imaging structures that were collected by PCLE will be identified and primary diagnostic imaging criteria for pancreatic cancer would be developed. In the second phase, this criterion will be used for rapid intraoperative diagnosis of pancreatic cancer and predicting status of resection margin. In addition, accuracy of PCLE will be verified based on postoperative pathologic reports.