View clinical trials related to Bladder Cancer.
Filter by:The primary objective of this clinical trial is to determine the sensitivity and specificity of the EarlyTect® Bladder Cancer test for bladder cancer among patients with hematuria by comparing it to the results of cystoscopy examinations. The second objective is to compare the clinical performance of EarlyTect® Bladder Cancer test with a NMP22 test and urine cytology test with respect to bladder cancer. By histopathological examination, lesions identified during cystoscopy will be confirmed as malignant or non-malignant by histological examination.
This study recruits patient with solid tumor types for sample collection and monitoring. Participants will provide blood and archival tissue samples in order to create a Personalized Cancer Monitoring (PCM) assay. This assay will be used to detect circulating tumor DNA (ctDNA) levels in the blood over time and hopefully contribute to improvements in residual disease detection methods for future patients. Results from this assay will be provided to participants and providers but providers are not asked to change patient care based on this information.
Our primary aim is to investigate the use of microbial profile from the bladder and the feces of NMIBC patients as a predicting tool for therapy response prior to BCG administration. Our second aim is to collect additional samples (blood, instrumented urine, bladder tissue, feces) to establish a local biobank for future microbiome projects.
Clinician and the multidisciplinary team meeting in oncologic urology (MMO) play a key-role in the decision making. An unexplained surgeon attributable variance, probably linked to the subjective "eyeball test" effect, was identified as a strongest factor underlying non-compliance with guide line recommendations in the management of bladder cancer. So high-quality studies that identify barriers and modulators (such as comorbidities) of provider-level adoption of guidelines and how comorbidities are associated in making therapeutic choice and their impact in bladder cancer specific survival and overall survival, are crucial. To identify patients at high risk of early death, and to improve specific guideline for treatment might be decisive. In order to assess survival, where mortality events compete, it will be more appropriate to compute a Cumulative Incidence Function (namely CIF). The investigators will compare outcomes across patient populations to obtain information to improve clinical decision-making. Such learning will be done through the use of neural networks or by applying population-based approaches, such as Genetic Algorithms (GA), Ant Colony Systems (ACS) and Particle Swarm Optimization (PSO), using as a four-stage based approach. First, the investigators propose a "pretopology space" in order to study a dynamic phenomenon. Second, the investigators recall that the K-means approach remains one of the most used approaches for classifying a set of elements (patients / persons / others) into K (disjunctive) clusters. Third, the investigators propose a learning pretopology space for enhancing the clustering. Such an approach can be assimilated in spirit to one applied with high success on deep learning. Fourth and last, the investigators propose a reactive method that is able to include some new elements or remove some contained elements
To evaluate the diagnostic accuracy of CEUS for the preoperative staging of bladder cancer, which would benefit the implementation of efficient therapeutic strategies.
This is a single-armed, multicenter, non-blinded phase 2 study to assess efficacy of induction ipilimumab + nivolumab followed by chemoradiation to spare the bladder in urothelial bladder cancer.
Bladder Cancer prognosis, treatment, and subsequent morbidity and mortality vary between the different stages, thus resulting in a different impact on patients' lives. There are some well known late effects of the treatments for bladder cancer, but the knowledge of their impact on patients Quality of Life is sparse. This study aims to determine the prevalence of late effects impact on Quality of Life and potential risk factors for impairment.
The investigators aim to experiment and implement various deep learning architectures to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems. In particular, the investigators are interested in detecting bladder tumors from CT urography scans and cystoscopies of the bladder in this project.
Preventing pre-surgical stress can help patients achieve positive outcomes on health and well-being. However, very few patients receive adequate stress relief support prior to a surgical procedure. Provision of education and information about the surgery can be a crucial component of the preoperative experience and is inversely related to levels of preoperative anxiety. However, resource constraints make face-to-face education sessions untenable, given cost considerations and time investment by trained health personnel. Interventions based on mobile health (mHealth) technologies, geared towards increasing familiarity with surgical procedures and hospital environments have been shown to help patients feel informed about possible benefits and risks of available treatment options. mHealth apps and Virtual Reality (VR) can offer patients experience in the perioperative environment that can be helpful in empowering patients and enhancing a more positive experience, while reducing stress. However, available applications focus only on providing informative content, neglecting the importance of patient empowerment with a more robust educational curriculum. According to this, the Software as a Medical Device (SaMD) CARINAE, aims to support patients and caregivers during the whole perioperative process. SaMD CARINAE consists of an mHealth mobile application for patients and caregivers, a Virtual Reality headset for patients, and a web application for healthcare professionals.
This is an open-label, dose escalation study of the safety and tolerability of Recombinant oncolytic adenovirus L-IFN injection（YSCH-01） when administered via intratumoral injection in patients with advanced solid tumors. The purpose of this study is to assess the safety and tolerability of Recombinant L-IFN adenovirus injectionand to determine the recommended phase 1 dose for further study. The study will also evaluate antitumor activity, objective response rate, pharmacokinetics and virus shedding of Recombinant L-IFN adenovirus injection