View clinical trials related to Cancer.
Filter by:This is a four stage, non-interventional study to develop and pilot test a Patient Reported Experience Measure (PREM) in experimental cancer medicine trials.
The Ezra Faster Scan study uses non-invasive magnetic resonance imaging (MRI) technology that can "visually" detect early and late-stage cancer, and other pathologies. MRIs use a magnetic field and radio waves to create a 3-dimensional (3D) image of an individual's body without using ionizing radiation. The purpose of this research is to decrease the amount of time required by an individual to complete an early cancer screening comprehensive magnetic resonance imaging (MRI) scan, such as the Ezra Full Body MRI imaging scan. If the time required to conduct a comprehensive scan is reduced, the cost of the scan may also decrease. By decreasing consumer costs and time, more individuals may be able to afford MRI-based early cancer screening technology. Participants in this study will undergo a minimum 30-minute MRI session. These sessions will be used to evaluate new MRI "instructions" that allow for a faster MRI scan time. The images will also be used to develop mathematical models or machine learning tools that allow images to be enhanced. By enhancing images using machine learning, they may be restored to a quality typically observed in MRI sessions with longer scan (acquisition) times. To read more about the study, potential participants may review the informed consent form located below in the References section. Potential participants may email research.fasterscan@ezra.com, or call 516.340.1221. See study Eligibility Criteria below.
Patients with cancer are considered vulnerable to SARS-CoV-2 infection and have been prioritized in the vaccination process in several countries, including Taiwan. In addition, international oncological societies favored COVID-19 vaccination for cancer patients on the basis of risk and benefits evaluation of all available data. However, patients with cancer were excluded from SARS- CoV-2 vaccines registrational trials and the investigators lack data regarding the safety and efficacy of vaccination in this population. Under this perspective, the investigators undertook a large prospective study enrolling patients with solid cancers, hematologic malignancies as well as healthy volunteers for the kinetics of anti- SARS-CoV-2 antibodies after COVID-19 vaccination on different anticancer therapy. Major inclusion criteria for this cohort of the study included: (1) age above 20 years; (2) presence of solid organ malignancies treated with immunotherapy, chemotherapy, Targeted therapy irrespective of the treatment phase; and (3) eligibility for vaccination.
Whole-body diffusion-weighted MRI (WBDWI) is a non-invasive tool used for staging and response evaluation in oncologic practice and is at the core of emerging response criteria in advanced prostate and breast cancers. WBDWI is a sensitive tool that radiologists can use to review the extent of disease and is achieved using a series of sequential imaging stations from the head to the mid-thigh. WBDWI accounts for more than 50% of the acquisition time of conventional whole-body MRI studies with a 1-hour duration. Despite national and international guidance for using whole-body MRI, a recent UK survey indicated that only 27% of UK radiology departments were offering a whole-body MRI service with a lack of scanner availability cited by 50% of respondents as the main challenge to service delivery. In the context of the ever-increasing capacity pressures on MRI departments, reducing acquisition times would facilitate the wider adoption of clinical WBDWI, reduce costs, and improve the patient experience. DWI is also embedded into consensus MRI protocols across almost all tumour types including primary prostate and breast cancers, metastatic liver disease, gynaecological cancers & GI cancers, where acquisition time savings could also be beneficial. The investigators have previously published accelerated DWI with deep learning based denoising filters (quickDWI), which can provide up to 50% reduction in whole-body MRI acquisition times. The goal of the deep-learning algorithm is to remove the noise in these subsampled images, producing an image with acceptable clinical quality. The aim of this investigation is to extend this work by testing quickDWI within a larger retrospective data cohort, incorporating other cancers such as disease of the abdomen and pelvis, primary prostate cancer, liver metastases, and pancreatic cancer.
Rationale: Adolescent and young adult (AYA) cancer survivors, diagnosed between 18-39 years, much more than children, suffer from delay in diagnosis, lack of centralization of care, age-adjusted expertise and follow-up care. The distribution of tumor types, biology, risk factors, developmental challenges and treatment regimens are different in AYAs compared to children. Therefore findings derived from childhood cancer survivors cannot be extrapolated to AYAs. Likewise, several large tumor-specific cohort studies exist that do not specifically address unique AYA age-specific issues. Globally, so far, the identification of AYA patient subgroups that might be more susceptible to poor health outcomes has not been systematically addressed. The role of sociodemographic and treatment-associated risks, external exposures (e.g. lifestyle) and host factors (e.g. genetic); or combinations of influences for impaired (age-specific) health outcomes, remains largely unknown. Understanding who is at risk and why, will support the development of evidence-based AYA prevention, treatment and supportive care programs and guidelines. Objective: To examine the prevalence, risk factors and mechanisms of impaired health outcomes (health-related quality of life and late effects) among a population-based sample of AYA cancer survivors. Study design: Retrospective, population-based, observational cohort study. Study population: AYA cancer survivors, diagnosed at age 18-39 years between 1999-2015, identified from the Netherlands Cancer Registry (NCR), and alive 5-20 year after diagnosis Main study parameters/endpoints: Health-related quality of life; late effects
The main purpose of this research is to evaluate the effect of the nursing care that participants receive with the mobile health application for cervical cancer on raising awareness about cervical cancer. The study conducted through the mobile health application developed to raise awareness about cervical cancer; It is thought that it is important in terms of raising awareness of participants, easing the work-time burden of health personnel in this period, and reducing the cost of health care through early diagnosis and treatment, and will set an example for future studies. Positive outputs from the mobile application will allow the application to be used on national and international platforms.
This is a Phase 1,open-label, multi-center, first-in-human, 2-part (Part 1: dose escalation and Part 2: expansion) study, evaluating multiple doses and schedules of intravenously (IV) administered NTX-1088, with or without pembrolizumab, in patients with advanced solid malignancies (i.e., locally advanced or metastatic).
The proposed pilot randomized controlled trial will test the FACT (Families Addressing Cancer Together) intervention designed to improve parents' confidence and ability to talk about their cancer with their minor children. We will enroll 40 patients with cancer who have a minor child to participate in this single site, 6-week study. The primary hypothesis being tested is that an intervention that assists parents with their communication needs with their children can be feasible and acceptable when compared with a wait-list control condition.
The purpose of this multi-national disease registry is to collect prospectively (with longitudinal follow-up) high-quality, standardized, and contemporaneous data to capture changes in the non-small cell lung cancer (NSCLC) treatment landscape and outcomes over time. The registry will capture data on participants; demographic, clinical characteristics (including biomarker data), treatment patterns, and effectiveness and safety outcomes for advanced NSCLC with mesenchymal-epithelial transition exon 14 (METex14) participants treated with systemic therapy.
The purpose of the present study is to utilize Multiphase Optimization Strategy (MOST)1 to test four social support and mindfulness components (e-coaching, buddy, general mindfulness training, and MVPA-specific mindfulness training) in a 12-week mHealth moderate to vigorous intensity physical activity (MVPA) intervention in a sample of young adult cancer survivors (YACS), to improve quality of life (QOL) and decrease adverse effects and symptom burden. PRIMARY AIM To identify which components from four mHealth components under consideration for inclusion meaningfully contribute to improvements in MVPA at 12 and 24 weeks SECONDARY AIM To examine how changes in MVPA, as a result of Opt2Move components, may influence additional health behaviors and outcomes including: a) symptom burden (i.e. fatigue, depression, anxiety); b) time spent in other activity intensities (i.e. light, sedentary time); and c) sleep duration and quality THIRD AIM To examine potential mediators (i.e. adherence, psychosocial factors such as post-traumatic growth, self-compassion, self-efficacy, and goal setting) and moderators (cancer type, age, gender) of the four intervention components on MVPA.