Cancer Screening

This study will evaluate whether a precision navigation intervention can help community residents at high risk for cancer complete recommended cancer screening. The study will be conducted in communities participating in an urban cancer screening program in China. Eligible participants will be adults aged 45 to 74 years who are permanent residents of participating communities and have been identified as being at high risk for at least one of five cancers: lung cancer, breast cancer, colorectal cancer, upper gastrointestinal cancer, or liver cancer. Participants must not have completed the corresponding free clinical screening before enrollment. This is a dual-cohort, cluster randomized controlled trial. Communities, rather than individual participants, will be assigned to one of three groups: a precision navigation group, a usual health education group, or a waiting control group. Participants will be classified into two cohorts according to the number of cancers for which they are assessed as high risk. Cohort A will include participants at high risk for three or more cancers, and Cohort B will include participants at high risk for one or two cancers. Participants in the precision navigation group will receive a personalized navigation report matched to their risk profile. The report will explain the screening tests most relevant to them, help them understand screening choices, and provide practical steps to support screening completion. Participants in the usual health education group will receive general cancer screening education materials. Participants in the waiting control group will not receive active screening promotion during the main intervention period, but will receive general education materials after the primary assessment. The main outcome is whether participants complete the recommended cancer screening during follow-up. The study will also assess changes in screening-related decision conflict, anxiety, self-efficacy, and behavioral intention. A subgroup of participants will provide blood samples before and after the intervention to explore possible biological mechanisms related to stress, inflammation, and screening behavior. The results may help improve community-based cancer screening programs and provide evidence for using personalized navigation strategies to increase screening participation among high-risk populations.

The aim of this study is to examine the effect of an intervention-consisting of a Health Belief Model-based educational session on the importance of early diagnosis and cancer screening, along with SMS-supported reminders-on the perceptions and attitudes toward cancer screening among women aged 30-70 who do not undergo regular screenings. The study will be conducted in two family centers, which will be assigned to intervention and control groups using a lottery method. The intervention group will receive a single-session group education, followed by weekly SMS reminders encouraging screening for two weeks. The control group will receive no additional intervention and will continue with standard care. Data will be collected simultaneously from both groups at three points: before the education, immediately after the education, and one month post-intervention.

This study evaluates the feasibility and cost-effectiveness of using a blood-based liquid biopsy assay as a pre-screening tool before low-dose CT (LDCT) for lung cancer screening. By identifying individuals unlikely to have lung cancer, this approach aims to reduce unnecessary LDCT scans, radiation exposure, and healthcare costs, while improving early detection, particularly among high-risk individuals including never-smokers with a family history of lung cancer.

NYC CONNECT will carry out a randomized controlled trial (RCT) which will assess the relative effectiveness of two evidence-based strategies to increase cancer screening rates for breast, cervical, and colorectal cancer. The RCT will compare the effectiveness of using a combination of 1) culturally and linguistically tailored cancer education materials and 2) community health workers (CHWs) to provide navigation services for cancer screening (the "patient navigation" \[PN\] arm) versus providing culturally and linguistically tailored cancer education only (the "less intensive" \[LI\] arm). The study population will include individuals who are due for breast, cervical, or colorectal cancer screening. All individuals recruited to the study will be provided navigation for unmet social determinants of health (SDH) needs.

The goal of this trial is to compare two types of patient, public and clinician involvement (PPCI) in research: Consultative PPCI and Collaborative PPCI. The study team will compare these methods of PPCI in a randomized clinical trial (RCT) in which PPCI participants will engage with research teams on one of three real qualitative research interview studies addressing topics: 1) pediatric mental health, 2) cancer screening and 3) serious illness. Qualitative interviews are conversations with people about their experiences and perspectives. In all three qualitative studies, PPCI participants will help us at every stage of the research, from design (making choices about how to set up the study) through dissemination (sharing findings). The researchers do not know about any quantitative (numbers) evidence from RCTs about how well different PPCI approaches work. As far as the study team knows, this is the first RCT of PPCI approaches. Given this gap in knowledge, the research question is: How does a Consultative PPCI approach compare to a Collaborative PPCI approach in increasing engagement and partnership trust in research, particularly among historically underrepresented groups? The researchers' best guess (hypothesis), considering the information available, is that Collaborative PPCI will increase PPCI participant engagement, trust and the patient-centeredness of research more than Consultative PPCI.

This study aims to quantify the rates of cervical cancer screening and endometrial sampling prior to gender-affirming hysterectomy, assess the need for these tests in TGD individuals, and explore patient-centered options for these tests. By assessing the status of testing and correlation with hysterectomy pathology, this study will provide preliminary data on the current state of guideline-concordant care and provide initial evidence for the development of evidence-based guidelines in the future

The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are: * Evaluating the deep-learning model's accuracy and specificity in identifying cancer-specific features in Raman spectral data and determining whether this method can accurately classify patients based on risk. * Identifying which model is more adaptable to the Raman spectrum * Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.

The goal of this clinical trial is to learn if smartphone-based deep learning system works to accurately detect oral potentially malignant disorders and oral cancer in adults. It will also learn about if it is as effective as assessments conducted by dentists and non-certified health provider. We expect that the deep learning system will have higher sensitivity in detecting oral potentially malignant disorders and oral cancer, where as the dentists and non-certified health providers will exhibit higher specificity in screening. Participants will be grouped into three arms: deep learning system (arm A) or board-certified dentist with deep learning system (arm B) or non-certified health providers (general practitioners) with deep learning system (arm C). Oral cancer risk factors, such as habits of smoking or having chewed betel nut or alcohol drinking, would be recorded by anonymous questionnaires.

To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology based on database.

The purpose of this research is to develop a culturally adapted "Faith in Action!" curriculum to train lay health navigators to provide breast cancer screening navigation to Korean American women within faith-based settings and evaluate whether the culturally adapted "Faith in Action!" curriculum increases adherence to breast cancer screening guidelines among Korean American women within faith-based settings in Los Angeles, California. The primary research procedures include trainings and key informant interviews with lay health navigators in faith-based settings followed by a cluster randomized trial to evaluate the intervention.

Cervical cancer represents one of the foremost causes of cancer-related morbidity and mortality among women worldwide. Given the current limitations, such as the low specificity of human papillomavirus (HPV) testing and the relatively low sensitivity of cytological examinations, there is a pressing need for a novel, non-invasive, safe, and precise screening method. This study aims to undertake a multicentre, real-world investigation, incorporating at least 10 sub-centres and enrolling 30,000 participants. Histopathological examination results will serve as the 'gold standard' for evaluating the screening efficacy of human PAX1 and JAM3 gene methylation assays (PAX1m/JAM3m), HPV testing, and cytological examinations. Furthermore, the study seeks to elucidate the relationship between DNA methylation levels and persistent HPV infection, while also assessing the applicability of PAX1m/JAM3m across diverse clinical settings. By focusing on alterations in DNA methylation levels within cervical exfoliated cells as the primary research trajectory, this study aspires to furnish novel insights and theoretical foundations for the prevention and management of cervical cancer, targeting PAX1m/JAM3m. The ultimate objective is to facilitate the clinical implementation of an enhanced cervical cancer screening protocol, thereby addressing the deficiencies of current screening methodologies, achieving greater precision in cervical cancer screening, and effectively reducing the incidence of cervical cancer while mitigating the risks of overdiagnosis and overtreatment.

To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology based on database.