View clinical trials related to Cancer.
Filter by:Caregivers of patients with advanced cancer will be entered. Participants will be randomized to one of two study arms: Arm 1: Progressive muscle relaxation; Arm 2: Attention matched control. Hypothesis: Progressive muscle relaxation will decrease caregiving burden and severity of fatigue and improve quality of life.
The CoNoR study aims to assess whether the use of the LiMAx test and the HepaT1ca pre-operative planning magnetic resonance scan impact upon technical resectability decision-making in colorectal liver metastases (CLM).
Chemotherapy is used to treat cancer in many thousands of patients per annum in the United Kingdom and millions worldwide. Most chemotherapy suppresses bone marrow function and causes a low white cell count (neutropenia) which is a major cause of sepsis, a potentially fatal medical emergency. Best outcomes in sepsis result from early admission to hospital with the rapid start of antibiotics and supportive care. Currently, patients starting chemotherapy are told the importance of making contact with the hospital if they feel unwell or develop a high temperature. Despite this it is common for patients to delay telephoning the Cancer Centre "hot line" until after enduring many hours of symptoms and ultimately being admitted to hospital very unwell and sometimes in life threatening septic shock. This proposal (REACT) seeks to invert the current model of care with the aim of improving patient outcomes whilst reducing costs. In this proof of concept pilot study we aim to assess the feasibility of using remote wearable biosensors to record key physiological parameters (including respiratory rate, heart rate and temperature) and transmit this data centrally to The Christie. We will also assess retrospectively whether perturbations in biosensor collected data correlate with clinical episodes of sepsis and if so develop bespoke clinical algorithms to identify patients displaying "red flags" for sepsis and guide response. Data collected by the sensors is at this stage only being reviewed retrospectively. Subsequent phases would involve recruiting larger number of patients to develop and test these algorithms with patients exhibiting 'red flags' for sepsis being contacted by the clinical team and taking appropriate action to facilitate assessment and treatment. The results of this study will determine whether working towards a randomised phase III trial comparing REACT with standard of care is an appropriate next step.
As most adolescents visit a healthcare provider once a year, health behavior change interventions linked to clinic-based health information technologies hold significant promise for improving healthcare quality and subsequent behavioral health outcomes for adolescents (Baird, 2014, Harris, 2017). Recognizing the potential to leverage recent advances in machine learning and interactive narrative environments, the investigators are now well positioned to design health behavior change systems that extend the reach of clinicians to realize significant impacts on behavior change for adolescent preventive health. The proposed project centers on the design, development, and evaluation of a clinically-integrated health behavior change system for adolescents. CHANGEGRADIENTS will introduce an innovative reinforcement learning-based feedback loop in which adolescent patients interact with personalized behavior change interactive narratives that are dynamically personalized and realized in a rich narrative-centered virtual environment. CHANGEGRADIENTS will iteratively improve its behavior change models using policy gradient methods for Reinforcement Learning (RL) designed to optimize adolescents' achieved behavior change outcomes. This in turn will enable CHANGEGRADIENTS to generate more effective behavior change narratives, which will then lead to further improved behavior change outcomes. With a focus on risky behaviors and an emphasis on alcohol use, adolescents will interact with CHANGEGRADIENTS to develop an experiential understanding of the dynamics and consequences of their alcohol use decisions. The proposed project holds significant transformative potential for (1) producing theoretical and practical advances in how to realize significant impacts on adolescent health behavior change through novel interactive narrative technologies integrated with policy-based reinforcement learning, (2) devising sample-efficient policy gradient methods for RL that produce personalized behavior change experiences by integrating theoretically based models of health behavior change with data-driven models of interactive narrative generation, and (3) promoting new models for integrating personalized health behavior change technologies into clinical care that extend the effective reach of clinicians.
Inflammation is associated with an increased risk of cancer recurrence. Various methods have been used to decrease the inflammatory response induced by the cancer and surgery. In this study the investigators would like determine if a commonly used sedative drug (dexmedtomidine) has an impact on this inflammatory state when used as part of the anesthetic. The investigators will conduct a pilot study with 20 patients undergoing a Hyperthermic Intraperitoneal Chemotherapy (HIPEC) procedure as part of their cancer treatment. 10 patients will receive the standard of care for anesthesia during the cancer surgery and a placebo infusion of normal saline at a rate consistent to that of the study drug. 10 additional patients will receive the same standard of care anesthetic plan with the addition of an infusion of dexmeditomidine during the procedure. The investigators will measure the degree of inflammation before, during and after the surgical procedure by looking at the levels of inflammatory markers in blood samples. The goal is to determine if the addition of dexmodtomidine affects the inflammatory state of patients undergoing a HIPEC procedure. This information will be used to guide future studies aiming at decreasing cancer recurrence and improve patient outcomes.
Port-A-Cath is a totally implanted central venous access system and one of the most frequently used systems for administration of chemotherapies in oncological patients . The currently used techniques for placement of totally implantable venous access devices involve the open insertion by cut down technique, or percutaneous puncture of the central vein either by anatomical landmarks or image guided approach by using ultrasound guidance which is increasingly being preferred over the traditional anatomical landmark due to its low complication rate and high technical success rate; as this technique enables the direct visualization of needle entrance and advancement into the target vein
By using national databases in Sweden the aim of the present project is to: 1. Investigate if the incidence of our most common diseases, such as fracture and cardiovascular disease, has changed from 1970-2017 2. To investigate whether the risk of death for our most common diseases have changed from 1970-2017. 3. To investigate the risk of a new episode after suffering from our most common diseases from 1970-2017 4. To investigate the risk factors for our most common diseases, and whether these have changed from 1970. 5. To investigate how severe disease or death affects the health of a close relative.
This feasibility trial studies the use of gallium-68 (68Ga)-FAPI as the imaging agent for positron emission tomography (PET)/computed tomography (CT), collectively PET/CT, in patients with various cancers. PET uses a radioactive substance called 68Ga-FAPI, which attaches to cancer activated fibroblasts. The PET scanner takes pictures that capture where the radioactive drug is "lighting up" and attaching to tumor cells, which may help doctors recognize differences between tumor and healthy tissue. CT uses X-rays to make a picture of areas inside the body. Using 68Ga-FAPI in diagnostic procedures, such as PET/CT, may allow doctors to identify smaller tumors than standard imaging.
Primary Objectives: Mindsets have been rigorously studied in the domains of development, education, and more recently, in health and disease. However, there are no large-scale longitudinal studies of the mindsets held by cancer patients and how they may affect treatment outcomes, physical health, and psychological well-being. This randomized, single-blind, treatment-as-usual (TAU) control study aims to assess (1) mindsets at four time points spanning from the point of diagnosis to six weeks post-treatment to patients who are newly diagnosed with cancer and undergoing treatment with curative intent, and (2) the impact of a brief but targeted mindset intervention to help instill more useful mindsets about the nature of cancer and the role of the body on patient reported measures of physical and psychological health. This study aims to add to the existing literature on psychosocial interventions for cancer patients and survivors while addressing the substantial time and cost limitations of traditional interventions. It also contributes to the body of research indicating that mindsets play an important role in both health and wellbeing. Secondary Objectives: This study has two secondary objectives. First, we aim to determine the impact of patient mindsets on measures of treatment (treatment efficacy and treatment related adverse events) and psychosocial health (stress, coping, mood, emotions). Second, we aim to understand the relationship between patient mindsets and biomarkers of immune and inflammatory processes in patients undergoing cancer treatment
Early diagnoses of malignant tumors are pivotal for improving their prognoses. The Exhaled Breath is made up of oxygen, carbon dioxide, nitrogen, water, inert gases and volatile organic compounds (VOCs). Theoretically, the concentration of VOCs in exhalation produced by metabolism in human body is only about nmol/L-pmol/L, which can significantly increase under certain pathological conditions. A series of studies of VOCs diagnosing solid tumors the investigators had been conducted in the past decade. It was found that VOCs in exhaled breath can not only distinguish different types of tumors, but also can make a clear distinction between different stages. Our long-term collaborator, Professor Hossam Haick (Israel Institute of Technology) has developed a nano sensor array, so called Na-nose, which can detect VOCs of the exhaled breath by binding gases to specific chemiresistors coated with gold nanomaterials. The Na-nose has the advantages of low cost, easy to use, good reproducibility and real-time detection for large scale clinical application. This study was to use large clinical samples to validate the diagnostic efficacy of the newly developed Nano-nose( Sniffphone and Breath Screener) for malignant tumors .