View clinical trials related to Cancer.
Filter by:Receiving a cancer diagnosis is a life-altering event for patients and their families that not only carries serious physical health implications but also causes significant stress and emotional distress. After initial diagnosis, restaging appointments can bring back additional fear, sadness, and anxiety. Music listening interventions can alleviate stress associated with cancer diagnosis by improving patients' ability to cope with the mental and emotional strain that accompanies their disease. Yet, current music listening interventions lack personalization and moment-to-moment adjustments that accompany traditional music therapy in the hands of a seasoned professional. Rubato Life™ (RL) application uses a proprietary algorithm for music selection that utilizes machine-learning and deep neural network to select music that reduces stress as measured by heart rate variability in real time, offering improved personalization of stress-reducing music. We hypothesize that using personalized musical playlists, through RL, will improve stress and anxiety outcomes for patients undergoing cancer restaging more than participant-selected music. This 3-week longitudinal study will include 200 patients from St. Elizabeth's Medical Center who have scheduled appointments for cancer restaging. Participants will be randomized into one of two groups: a) an intervention group, in which patients will listen to music using Rubato Life app, and b) a control group, in which patients listen to music of their own choice that they believe to be stress reducing. Patients in both groups will be asked to listen to at least 45 minutes per day, for a period of 2 weeks coming up to their scheduled restaging appointment (or at least 12 total hours of listening), and for one hour immediately after the appointment. Patients in the Intervention group will wear smartwatches to monitor heart rate variability throughout the study. Patients will be asked to complete assessments of anxiety (STAI-S) prior to randomization, on the day of their restaging, and following one hour of post-restaging music listening.
Fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT) has been demonstrated to outperform other imaging modalities such as CT and magnetic resonance imaging (MRI) for the detection of metastatic cancers. Therefore, it is currently used for cancer staging, re-staging, and for monitoring response to therapy for many types of cancers. Despite its wide use and success, the diagnostic accuracy of FDG-PET/CT is suboptimal for lesions that are significantly smaller than 1 cm due primarily to limitations on image resolution and system sensitivity. The investigators have developed an Augmented Whole-body Scanning via Magnifying PET (AWSM-PET) technology that can improve the image resolution and system sensitivity of current and future PET/CT scanners. This study will evaluate preliminarily whether the AWSM-PET/CT technology can provide additional high-resolution PET/CT images displayed concurrently with the standard of care FDG-PET/CT images to improve overall accuracy in depicting malignant lesions in cancer patients.
This study is being done to understand how many people with HIV (PWH) present for cancer care across the AIDS Malignancy Consortium in the United States and if there are reasons that some PWH choose to participate, or not in cancer clinical trials. Optional quality of life surveys will be used to learn more about how HIV and cancer and HIV and cancer treatment affect people.
The Cancer Patient Empowerment Program is a comprehensive health promotion program aiming to improve the quality of life as well as both physical and mental health in cancer patients and survivors. The program includes daily email communications over 6 months that encourage strength and aerobic exercise, yoga, stress reduction techniques, dietary improvements, and more.
The number of new cases of cancer diagnosed in the U.S. was 1.7 million in 2017 and is expected to increase by 35% to 2.3 million in 2030[1]. Cancer treatments often create numerous logistic challenges in prioritizing and managing treatment and everyday life priorities and how these challenges affect their everyday lives and well-being (hence "logistic toxicity"). However, there are no established reliable tools to monitor patients' logistic challenges and the associated impacts; and logistic toxicity has been largely unaddressed in cancer care delivery. The objective is to develop the first digital health app for cancer patients to continuously monitor logistic toxicity in their daily lives. The app will combine objective data from mobile sensing with subjective self-reported data to form an app-assisted day reconstruction system that captures activity engagement and well-being information associated with cancer treatment-related activities and trips throughout the day.
In the 5G era with the revolutionary improvement of network speed, digital medical care has brought great convenience to health services. There is a lack of mobile medical data on cancer care worldwide. We designed an applet based on mobile intelligent electronic devices with a doctor-patient dual interface for the perioperative management of cancer patients and verified its applicability in the general population. This study aims to specifically improve the applet according to the characteristics of cancer patients, use it to accurately manage and intervene cancer patients, and establish a rapid doctor-patient communication platform, hoping to improve prognosis.
A Phase 1B/2A study will be conducted to establish safety and dose level of AMXT 1501 dicaprate in combination with IV DFMO, in cancer patients.
Geriatric assessment (GA) predicts treatment toxicity and overall mortality in older adults with cancer. To improve treatment decision making in older adults with cancer, the American Society of Clinical Oncology (ASCO) and the International Society of Geriatric Oncology recommend implementation of GA for all older adults with cancer. However, in-person GA may not be feasible in several institutions for various reasons, including lack of geriatricians and/or lack of time or resources. These challenges can be minimized through a self-reported online GA that can be completed by patients prior to their medical appointment. In a previous study, the investigators developed a self-reported online GA, known as the Comprehensive Health Assessment for My Cancer treatment Plan (CHAMP) that be used in geriatric oncology to increase accessibility to GA for older adults with cancer. In this study, our aim is to deploy the CHAMP tool to various oncology clinics across 4 institutions and assess feasibility outcomes, as well as the impact of the CHAMP tool on cancer treatment plan and supportive care strategies.
At the end of cancer treatment, many patients are still dealing with symptoms of cancer and side effects of treatment. Many are also left in a surreal mental state with uncertainty regarding the future of their health. Survivorship Care Plans are plans that are provided to individuals at the completion of cancer treatment (i.e., chemotherapy, surgery, radiation). Survivorship Care Plans describe the details of a person's diagnosis and treatment, as well as provide recommendations for follow-up appointments, referrals, and healthy behaviors to accelerate recovery and prevent recurrence (e.g., diet, exercise, smoking cessation). Survivorship Care Plans are currently static documents that are provided via paper and become outdated as soon as the person's health status changes. Therefore, there is a need to digitize Survivorship Care Plans to improve the accessibility, modifiability, and longevity of the plan. In addition, with current technology, there is an opportunity for Survivorship Care Plans to be linked with mobile devices and activity trackers so that people can track health behaviors and compare them to their clinical goals, enabling people to take charge of their own health. Charles River Analytics developed an app called POSTHOC (POST-treatment Healthcare Outcomes for Cancer survivors) that digitizes the Survivorship Care Plan with goals to integrate it into the digital medical record. Herein, phase I/II feasibility/preliminary efficacy randomized controlled trial is being conducted among 54 patients with cancer who recently completed adjuvant treatment for cancer (e.g., chemotherapy, radiotherapy, surgery) to compare 12 weeks of the POSTHOC app as part of the Survivorship Care Plan vs. the usual care Survivorship Care Plan on total symptom burden. Participants will be randomized 2:1, POSTHOC:usual care. Those randomized to the POSTHOC group will be provided with their Survivorship Care Plan via the app, and will choose to focus on nutrition or exercise for the duration of the study, based on their individual plan and personal preferences. At baseline, 6 weeks, and 12 weeks, patient-reported outcomes will be evaluated including total symptom burden, diet, and physical activity. Extensive quantitative and qualitative feedback will also be collected on the usability of the app from those in the POSTHOC arm in order to improve the app for future implementation studies.
Rationale: The complication rate after pancreatic resection is high, especially in elderly and physically unfit patients. Aerobic capacity, as indicated by the ventilatory anaerobic threshold (VAT) assessed by a cardiopulmonary exercise test (CPET), can be used to identify high-risk patients. Previous studies have demonstrated that exercise prehabilitation can increase aerobic capacity in patients scheduled for intra-abdominal surgery, subsequently leading to better treatment outcomes. There is limited evidence on the feasibility of a (partly) supervised home-based prehabilitation program in patients scheduled for pancreatic resection. Objective: The primary objective of this study is to assess the feasibility of a four-week supervised home-based prehabilitation program in patients scheduled for elective pancreatic resection. Secondary objectives are to evaluate individual responses to prehabilitation on a number of secondary endpoints (no cause-effect relationship to be established). Study design: This study is a pragmatic multicenter study with a pretest-posttest design. It will take place at the Maastricht University Medical Center+ and University Medical Center Groningen in the Netherlands, and at the 'Città della Salute e della Scienza' in Torino, Italy. Study population: Patients planned for elective resection of a pancreatic tumor will be screened for potential eligibility. High-risk patients, identified by an oxygen uptake (VO2) at VAT ≤13 ml/kg/min and/or VO2peak ≤18 ml/kg/min, will be asked to participate. Intervention: A total of 45 patients will participate in a four-week (partly) supervised home-based personalized exercise training program before surgery (12 sessions in total). An advanced cycle ergometer (Lode Corival, Lode BV, Groningen, the Netherlands) will be delivered at the patient's home. Three weekly sessions of high-intensity interval training on the cycle will be combined with functional task exercise training. A trained physical therapist will visit the patient at least weekly to monitor progress. Main study parameters: The main study parameter is feasibility of the (partly) supervised home-based prehabilitation program. Hereto participation rate and reasons for non-participation will be evaluated. In participating patients, adherence/compliance, dropout rate, reasons for dropout, adverse events, patient motivation, and patient and therapist appreciation will be assessed throughout the program. Secondary endpoints: Secondary endpoints before and after prehabilitation include aerobic capacity, muscle function, body composition, functional mobility, immune system function, perceived fatigue, quality of life, and sarcopenia. Data on patient characteristics, neoadjuvant therapy, surgical procedure, and postoperative outcomes will also be collected for explorative purposes.