View clinical trials related to Cancer.
Filter by: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.
The rationale of the ROSY-D study is to continue to provide study treatment for patients who have participated in a parent study with Durvalumab and who are continuing to derive clinical benefit from treatment at the end of such studies, as judged by the Investigator.
The purpose of the study is to evaluate whether sauna use after active-duty firefighting is effective in reducing exposure to certain harmful chemicals called polycyclic aromatic hydrocarbons (PAHs). PAHs are found in soot and several types are known to be carcinogens. This study is a cross-sectional pilot study that will be performed in active-duty firefighters. The firefighters will be subdivided into those who will use a sauna immediately after fighting a fire versus those who will not, the latter of which will serve as a metabolism control group. There will thus be two comparison groups within the study: 1) active-duty firefighters using a sauna after fire suppression (sauna group); 2) active-duty firefighters not using a sauna after fire suppression (metabolism control).
The Sentinel™ Trial is a non-randomized, large-scale observational trial designed to: 1) evaluate the ability of circulating tumor DNA (ctDNA)-based minimal residual disease (MRD) testing to detect recurrence in advance of standard-of-care techniques across solid tumors, and 2) determine the clinical benefit of therapy in ctDNA-positive participants. The study offers the opportunity to 1) serially monitor participants for ctDNA changes, 2) define ctDNA kinetics across tumor and therapy types, 3) identify participants with ctDNA evidence of MRD, and 4) understand the clinical benefit of ctDNA status on treatment outcomes.
iSpecimen aims to create a clinical partner network of hospitals, laboratories, academic institutions, and other healthcare organizations ("institutions") capable of providing researchers and educators ("researchers") with annotated biospecimens for use in biomarker discovery and validation; diagnostic test and instrumentation development and validation; therapeutics development; other medical research including the impact that various specimen collection and handling methods and conditions have on research results; and in education such as researcher or physician training (collectively "research").
The long term goal is to improve quality of care in Veterans with serious illnesses by aligning medical care with Veterans' goals and values. The objective of this study is to use a sequentially randomized trial to determine what implementation strategies are effective to increase early, outpatient goals of care conversations. The study will use interviews with and surveys of medical providers, patients, and caregivers, along with medical record data. This work is significant because it tests ways Veterans can express their goals and preferences for life sustaining treatments and have them honored.
This study aims to compare conventionally acquired Left Ventricle Ejection Fraction (LVEF) and Global Longitudinal Strain (GLS) data to Artificial Intelligence (AI) driven automated processing of 2 dimensional contrast and 2 dimensional non-contrast resting transthoracic echocardiograms for application in the assessment of patients undergoing chemotherapy with cardiotoxic drugs. This is a single-centre retrospective study which utilizes echocardiographic DICOM image and meta-data datasets received from a Canadian site. Data processed using the AI driven automated processing will be compared to conventionally acquired LVEF and GLS measurements and results will be analysed to determine accuracy and precision.
This study is a randomized clinical trial of a problem-solving therapy intervention for family caregivers of individuals with cancer receiving outpatient palliative care.
The primary objective of this research study is to assess Radiation Oncology healthcare providers (i.e. faculty, residents and advanced practice providers (APPs) implementation and perception of telehealth for on treatment patients in lieu of in person on treatment visits during standard of care radiotherapy during COVID-19.
The goal of this research is to study an intervention, which the investigators call "Remote Electronic Patient Monitoring," that entails vital sign data (enabled with smart algorithms for notification) and patient-reported outcomes (PROs), (such as physical and psychological symptoms) intended to address and manage any concerning issues and or diagnoses identified. Specifically, the plan is a study of oncology patients who will use the Gaido system for up to 21 days or per physician order.