[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"cancer-screening\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:cancer-screening":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,12,0,[8,46,76,115,138,166,188,236,263,287,312,336],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":4},"100644984","precision-navigation-to-improve-community-cancer-screening-participation-a-dual-cohort-cluster-randomized-trial-100644984",false,"NCT07676383","Precision Navigation to Improve Community Cancer Screening Participation: A Dual-Cohort Cluster Randomized Trial","Effectiveness and Mechanisms of a Precision Navigation Intervention to Improve Community Cancer Screening Participation: A Dual-Cohort Cluster Randomized Controlled Trial","Inclusion Criteria:\n\n1. Aged 45 to 74 years.\n2. Permanent resident of a participating community, defined as having lived in the community for at least 6 months during the past 12 months.\n3. Participating in the urban cancer screening program.\n4. Identified by the program risk assessment questionnaire as being at high risk for at least one of the following cancers: lung cancer, breast cancer, colorectal cancer, upper gastrointestinal cancer, or liver cancer.\n5. Has not yet completed the corresponding free clinical screening test for the high-risk cancer type or types.\n6. Able to complete electronic questionnaires and read intervention materials independently or with assistance. Paper materials and staff explanation will be provided for participants who do not use smartphones.\n7. Able and willing to provide written informed consent.\n\nExclusion Criteria:\n\n1. Previously diagnosed with any of the target cancers, including lung cancer, breast cancer, colorectal cancer, upper gastrointestinal cancer, or liver cancer.\n2. Severe cognitive impairment, severe mental illness, or other conditions that prevent the participant from receiving the intervention or completing study questionnaires.\n3. Planning to be away from the community for a long period during the next 6 months, defined as cumulative absence of more than 3 months.\n4. Currently participating in another interventional study that may affect cancer screening behavior.",true,"ALL","45 Years","74 Years",{"count":21,"type":22},1500,"ESTIMATED","INTERVENTIONAL",[25],"NA","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.\n\nEligible 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.\n\nThis 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.\n\nParticipants 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.\n\nThe 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.\n\nThe 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.",[28,29,30,31,32,33],"Cancer Screening","Lung Cancer","Breast Cancer","Colorectal Cancer","Upper Gastrointestinal Cancer","Liver Cancer","NOT_YET_RECRUITING","2026-06-24",{"date":37,"type":38},"2026-06-30","ACTUAL",{"date":40,"type":22},"2026-06",{"date":42,"type":22},"2027-02",{"name":44,"class":45},"Hunan Cancer Hospital","OTHER",{"id":47,"slug":48,"hasResults":11,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":4,"eligibilityCriteria":52,"healthyVolunteers":16,"sex":53,"minAge":54,"maxAge":55,"enrollmentInfo":56,"targetDuration":4,"studyType":23,"phases":58,"briefSummary":59,"conditions":60,"keywords":64,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":70,"leadSponsor":72,"locationsCount":75},"100640834","hbm-based-intervention-on-cancer-screening-100640834","NCT07583693","HBM-Based Intervention on Cancer Screening","The Effect of Health Belief Model-Based Intervention on Women's Perceptions and Attitudes Toward Cancer Screening: A Quasi-Experimental Study","Inclusion Criteria:\n\n* Being female\n* Being between the ages of 30 and 70\n* Being able to communicate in Turkish\n* Not having undergone regular cancer screenings\n\nExclusion Criteria:\n\n* Having a previous diagnosis of any type of cancer\n* Being under medical follow-up for suspected cancer\n* Having cognitive impairment that prevents effective communication","FEMALE","30 Years","70 Years",{"count":57,"type":22},50,[25],"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.",[28,61,62,63],"Health Belief Model","Attitude","Perception",[65,61,62,63],"cancer screening","2026-05-06",{"date":68,"type":38},"2026-05-13",{"date":66,"type":22},{"date":71,"type":22},"2026-06-06",{"name":73,"class":74},"Lokman Hekim University","OTHER_GOV",1,{"id":77,"slug":78,"hasResults":11,"nctId":79,"briefTitle":80,"officialTitle":81,"acronym":4,"eligibilityCriteria":82,"healthyVolunteers":16,"sex":17,"minAge":83,"maxAge":84,"enrollmentInfo":85,"targetDuration":4,"studyType":23,"phases":87,"briefSummary":88,"conditions":89,"keywords":93,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":109,"completionDateStruct":111,"leadSponsor":113,"locationsCount":75},"100620522","liquid-biopsy-based-pre-screening-to-streamline-ldct-lung-cancer-screening-in-high-risk-individuals-100620522","NCT07358715","Liquid Biopsy-Based Pre-Screening to Streamline LDCT Lung Cancer Screening in High-Risk Individuals","A Multimodal Liquid Biopsy-Based Assay as a Pre-Screening Test Before Low Dose CT Thorax (LDCT) to Streamline Lung Cancer Screening in High-Risk Individuals","Inclusion Criteria\n\nHigh-Risk Individuals (n = 100)\n\n* No prior history of lung cancer\n* Meets one of the following high-risk definitions:\n\n  * Current or former smoker (quit within the past 15 years), aged 55-74 years, with a smoking history of ≥30 pack-years; OR\n  * Never-smoker aged 55-75 years with a first-degree family history of lung cancer\n* Able and willing to provide written informed consent\n\nEarly-Stage Lung Cancer Patients (n = 20)\n\n* Aged ≥21 years\n* Histologically or clinically confirmed stage I-II lung cancer\n* Treatment-naïve (no prior surgery, chemotherapy, radiotherapy, or immunotherapy for lung cancer)\n* Able and willing to provide written informed consent\n\nAdvanced-Stage Lung Cancer Patients (n = 20)\n\n* Aged ≥21 years\n* Histologically or clinically confirmed stage III-IV lung cancer\n* Treatment-naïve (no prior systemic or local therapy for lung cancer)\n* Able and willing to provide written informed consent\n\nExclusion Criteria\n\nApplicable to All Participants\n\n* Pregnant or breastfeeding women\n* Inability or unwillingness to comply with study procedures\n\nHigh-Risk Individuals Only\n\n* Known allergy or contraindication to CT contrast agents\n* Prior low-dose CT (LDCT), CT thorax, or PET-CT performed within 12 months prior to enrollment\n\nLung Cancer Cohorts Only\n\n• Receipt of any prior cancer-directed treatment for lung cancer","21 Years","75 Years",{"count":86,"type":22},140,[25],"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.",[29,90,91,28,92],"Lung Neoplasms","Early Lung Cancer Detection","High-Risk Populations",[94,95,96,97,98,99,100,101,102,103,104],"Liquid biopsy","DNA methylation","Exosomes","Blood-based screening","Low-dose CT","LDCT","Lung cancer screening","Early cancer detection","High-risk individuals","Never-smokers","Multimodal assay","RECRUITING","2026-01-13",{"date":108,"type":38},"2026-01-22",{"date":110,"type":38},"2024-11-01",{"date":112,"type":22},"2028-12-31",{"name":114,"class":45},"National University Hospital, Singapore",{"id":116,"slug":117,"hasResults":11,"nctId":118,"briefTitle":119,"officialTitle":120,"acronym":121,"eligibilityCriteria":122,"healthyVolunteers":11,"sex":17,"minAge":83,"maxAge":84,"enrollmentInfo":123,"targetDuration":4,"studyType":23,"phases":125,"briefSummary":126,"conditions":127,"keywords":4,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":128,"lastUpdatePostDateStruct":129,"startDateStruct":131,"completionDateStruct":133,"leadSponsor":135,"locationsCount":137},"100496280","nyc-cancer-outreach-network-in-neighborhoods-for-equity-and-community-translation-100496280","NCT05742178","NYC Cancer Outreach Network in Neighborhoods for Equity and Community Translation","NYC Cancer Outreach Network in Neighborhoods for Equity and Community Translation Randomized Controlled Trial (NYC CONNECT)","NYC CONNECT","Inclusion Criteria:\n\n* Women between the ages of 21 and 75 years;\n* Men between the ages of 45 and 75 years;\n* Women (40-74 years) who have not had a mammogram in the past 12 months, a Pap smear in the last 3 years (21-64 years old) or HPV test in the last 5 years (30-64 years old), or women 45-75 years old who are not up-to-date on colorectal cancer screening (Fecal occult blood test (FOBT)\u002FFecal immunochemical test (FIT) past year, computerized tomography (CT) colonography or sigmoidoscopy past 5 years, or colonoscopy past 10 years);\n* Men not up-to-date on colorectal cancer screening (FOBT\u002FFIT past year, computerized tomography (CT) colonography or sigmoidoscopy past 5 years, or colonoscopy past 10 years);\n* Must speak either English, Spanish, Haitian-Creole, French, or Chinese (Mandarin and Cantonese);\n* Lives in East Flatbush (zip codes: 11236, 11203, 11212, 11226); Sunset Park (zip codes: 11215, 11220, 11232); Highbridge (zip code 10452, 10455, 10451); or Morrisania (zip codes: 10456, 10459)\n\nExclusion Criteria:\n\n* Previous or current diagnosis of any cancer;\n* Pregnancy (breast and cervical cancer only);\n* Current participation in an existing cancer navigation program;\n* Currently in hospice care;\n* At least 66 years of age with advanced illness or frailty or who live in long-term institution for more than 90 days;\n* Bilateral mastectomy or right and left unilateral mastectomy (breast cancer only);\n* Hysterectomy with no residual cervix (cervical cancer only);\n* Total colectomy (colorectal cancer only).",{"count":124,"type":22},2160,[25],"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.",[28],"2025-12-11",{"date":130,"type":38},"2025-12-18",{"date":132,"type":38},"2023-07-05",{"date":134,"type":22},"2026-10-01",{"name":136,"class":45},"NYU Langone Health",2,{"id":139,"slug":140,"hasResults":11,"nctId":141,"briefTitle":142,"officialTitle":143,"acronym":144,"eligibilityCriteria":145,"healthyVolunteers":11,"sex":17,"minAge":146,"maxAge":4,"enrollmentInfo":147,"targetDuration":4,"studyType":23,"phases":149,"briefSummary":150,"conditions":151,"keywords":154,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":157,"lastUpdatePostDateStruct":158,"startDateStruct":160,"completionDateStruct":162,"leadSponsor":164,"locationsCount":137},"100580545","participatory-approaches-to-qualitative-research-paq-comparing-two-approaches-to-patient-public-and-clinician-involvement-in-qualitative-research-100580545","NCT06838689","Participatory Approaches to Qualitative Research (PAQ): Comparing Two Approaches to Patient, Public and Clinician Involvement in Qualitative Research","Participatory Approach to Qualitative Research (PAQ): Comparing Two Methods of Engaging Stakeholders in Qualitative Research","PAQ","Inclusion criteria \\& Exclusion criteria across three sub-specialties:\n\nPediatric mental health\n\nInclusion:\n\n* Adults aged ≥18 years\n* Can communicate in English\n* Able to take part in research activities via a computer or a smartphone\n* Patients, care partners, clinicians, other healthcare professionals, teachers and school staff, health policy experts, and community members\n* Has lived experience or professional expertise relating to pediatric mental health\n\nExclusion:\n\n* Children \\\u003C18 years\n* Cannot communicate in English\n* Adults unable to provide verbal consent\n* Prisoners\n* Unable to take part in research activities via a computer or a smartphone\n\nGeneralized cancer screening\n\nInclusion:\n\n* Adults aged ≥21 years\n* Can communicate in English\n* Able to take part in research activities via a computer or a smartphone\n* Patients, care partners, clinicians, other healthcare professionals, health policy experts, and community members\n* Is eligible for population-based cancer screening tests (breast, prostate, cervical, colorectal cancer), or has lived experience or professional expertise relating to generalized cancer screening\n\nExclusion:\n\n* Children \\\u003C18 years\n* Cannot communicate in English\n* Adults unable to provide verbal consent\n* Prisoners\n* Unable to take part in research activities via a computer or a smartphone\n\nSerious illness experience\n\nInclusion:\n\n* Adults aged ≥18 years\n* Can communicate in English\n* Able to take part in research activities via a computer or a smartphone\n* Patients, care partners, clinicians, other healthcare professionals, health policy experts, and community members\n* Has lived experience or professional expertise relating to serious illness (defined as \"a health condition that carries a high risk of mortality and either negatively impacts a person's daily functioning or quality of life or excessively strains his or her caregivers.\"\n\nExclusion:\n\n* Children \\\u003C18 years\n* Cannot communicate in English\n* Adults unable to provide verbal consent\n* Prisoners\n* Unable to take part in research activities via a computer or a smartphone\n\nNote: We will not specifically exclude pregnant women, so they may be included incidentally.","18 Years",{"count":148,"type":22},136,[25],"The goal of this trial is to compare two types of patient, public and clinician involvement (PPCI) in research: Consultative PPCI and Collaborative PPCI.\n\nThe 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).\n\nThe 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.",[152,28,153],"Pediatric Mental Health Services","Serious Illness",[155,156,65],"Pediatric mental health","Serious illness in elderly patients","2025-11-18",{"date":159,"type":38},"2025-11-19",{"date":161,"type":38},"2025-09-01",{"date":163,"type":22},"2027-10-31",{"name":165,"class":45},"Dartmouth-Hitchcock Medical Center",{"id":167,"slug":168,"hasResults":11,"nctId":169,"briefTitle":170,"officialTitle":170,"acronym":4,"eligibilityCriteria":171,"healthyVolunteers":11,"sex":17,"minAge":146,"maxAge":4,"enrollmentInfo":172,"targetDuration":4,"studyType":174,"phases":4,"briefSummary":175,"conditions":176,"keywords":4,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":179,"lastUpdatePostDateStruct":180,"startDateStruct":182,"completionDateStruct":184,"leadSponsor":186,"locationsCount":75},"100598764","cervical-and-endometrial-cancer-screening-in-patients-seeking-gender-affirming-hysterectomy-100598764","NCT07075731","Cervical and Endometrial Cancer Screening in Patients Seeking Gender-Affirming Hysterectomy","Inclusion Criteria:\n\n* 18 years and older\n* Able to provide voluntary written consent prior to the performance of any research related activity. Patients who can provide informed consent\n* Able to understand, speak, read, and write in English\n* Patients who have undergone hysterectomy, or plan to have a hysterectomy\n* Patients who are transgender and gender diverse\"\n\nExclusion Criteria:\n\n* Opted out of research\n* \\\u003C18 years old\n* Lacks capacity to consent\u002Fhas diminished capacity to consent\n* Cannot provide informed consent\n* Those on the study's community advisory board",{"count":173,"type":22},40,"OBSERVATIONAL","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",[28,177,178],"Transgender","Gender Diverse Populations","2025-07-10",{"date":181,"type":38},"2025-07-20",{"date":183,"type":38},"2025-06-30",{"date":185,"type":22},"2027-06-30",{"name":187,"class":45},"University of Minnesota",{"id":189,"slug":190,"hasResults":11,"nctId":191,"briefTitle":192,"officialTitle":193,"acronym":4,"eligibilityCriteria":194,"healthyVolunteers":16,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":195,"targetDuration":197,"studyType":174,"phases":4,"briefSummary":198,"conditions":199,"keywords":216,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":226,"lastUpdatePostDateStruct":227,"startDateStruct":229,"completionDateStruct":231,"leadSponsor":233,"locationsCount":235},"100579293","raman-spectroscopy-based-deep-learning-model-for-early-pan-cancer-early-diagnosis-100579293","NCT06822413","Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis","A Novel Raman Spectroscopy-Based Method for Pan-Cancers Early Diagnosis Supported by Deep Learning: A Prospective, Single-Arm, Multicentre Study","Inclusion Criteria:\n\n* Histopathological diagnosis of malignant tumors, including colorectal cancer, gastric cancer, hepatic cancer, pancreatic cancer, and esophageal cancer.\n* Patients in normal physiological conditions without any malignant tumors or precancerous lesions.\n* Patients with malignant tumor without recieving any interventions, including chemotherapy, surgery, radiotherapy, immunotherapy or other anti-tumor treatments.\n* Patients with a histopathological diagnosis of any precancerous lesions or non-malignant disease.\n\nExclusion Criteria:\n\n* Patients with metastatic tumors or in the condition with two or more kinds of malignant tumors at the same time\n* Post-cancer treatment patients.",{"count":196,"type":22},600,"1 Year","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:\n\n* 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.\n* Identifying which model is more adaptable to the Raman spectrum\n* Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.",[200,201,28,202,203,204,205,206,207,208,209,210,211,212,213,214,215],"Cancer Diagnosis","Liver Cancer, Adult","Colorectal Cancer (CRC)","Gastric Cancers","Normal Physiology","Pancreatic Cancer, Adult","Raman Spectroscopy","Deep Learning Model","Esophageal Cancer","Malignant Tumours","Precancerous Conditions","Pancreatitis","Adenoma Colon Polyp","Gastric Ulcer","Oesophagitis","Cirrhoses, Liver",[217,218,28,206,31,219,220,208,221,222,211,223,224,214,225],"Pan-cancer","Deep Learning Models","Pancreatic Cancer","Gastric Cancer","malignant tumour","Precancerous Condtions","Colorectal Adenoma","Gastirc Ulcer","Cirrhoses","2025-04-19",{"date":228,"type":38},"2025-04-24",{"date":230,"type":38},"2022-09-01",{"date":232,"type":22},"2025-07-28",{"name":234,"class":45},"Second Affiliated Hospital, School of Medicine, Zhejiang University",4,{"id":237,"slug":238,"hasResults":11,"nctId":239,"briefTitle":240,"officialTitle":241,"acronym":4,"eligibilityCriteria":242,"healthyVolunteers":16,"sex":17,"minAge":243,"maxAge":4,"enrollmentInfo":244,"targetDuration":4,"studyType":23,"phases":246,"briefSummary":247,"conditions":248,"keywords":251,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":254,"lastUpdatePostDateStruct":255,"startDateStruct":257,"completionDateStruct":259,"leadSponsor":261,"locationsCount":75},"100582369","application-and-validation-of-a-smartphone-based-deep-learning-system-for-oral-potentially-malignant-disorders-and-oral-cancer-screening-100582369","NCT06862414","Application and Validation of a Smartphone-based Deep Learning System for Oral Potentially Malignant Disorders and Oral Cancer Screening","Application and Validation of a Smartphone-based Deep Learning System for Oral Potentially Malignant Disorders (OPMD) and Oral Cancer Screening","Inclusion Criteria:\n\n* Adult patients (age ≥18) visiting cancer screening center\n\nExclusion Criteria:\n\n* Unable to cooperate to fully open mouth\u002F navigate tongue\n* Unable to cooperate for the assessment","19 Years",{"count":245,"type":22},954,[25],"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.\n\nWe 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.\n\nParticipants 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).\n\nOral cancer risk factors, such as habits of smoking or having chewed betel nut or alcohol drinking, would be recorded by anonymous questionnaires.",[28,249,250],"Oral Cancer","Oral Potentially Malignant Disorders",[252,253],"Deep learning systems","Artificial Intelligence","2025-03-02",{"date":256,"type":38},"2025-03-06",{"date":258,"type":22},"2025-03",{"date":260,"type":22},"2025-12",{"name":262,"class":45},"National Taiwan University Hospital",{"id":264,"slug":265,"hasResults":11,"nctId":266,"briefTitle":267,"officialTitle":267,"acronym":4,"eligibilityCriteria":268,"healthyVolunteers":16,"sex":17,"minAge":146,"maxAge":84,"enrollmentInfo":269,"targetDuration":4,"studyType":174,"phases":4,"briefSummary":271,"conditions":272,"keywords":4,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":279,"lastUpdatePostDateStruct":280,"startDateStruct":282,"completionDateStruct":284,"leadSponsor":285,"locationsCount":75},"100566307","development-and-demonstration-of-intelligent-assessment-based-on-multi-modal-information-fusion-for-tumor-risk-and-diagnosis-and-treatment-100566307","NCT06653478","Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment","Inclusion Criteria:\n\n1. Participants with the suspected of lung cancer\u002Fnode, or stomach cancer\u002Flesion, or colorectal cancer\u002Fleision\n2. Participants that have signed informed consent.\n3. Participants with detailed electronic medical records, image records, pathological records, multi-omics information, and other important clinical diagnostic information.\n4. Healthy participants with no clinical diagnosis of lung cancer\u002Fnode, or stomach cancer\u002Flesion, or colorectal cancer\u002Fleision.\n\nExclusion Criteria:\n\n1. Participants with primary clinical and pathological data missing.\n2. Participants lost to follow-up.\n3. Participants with too poor medical image quality to perform segment and mark ROI accurately",{"count":270,"type":22},3000,"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.",[253,273,29,274,275,276,277,28,278],"Deep Learning","Lung; Node","Stomach Cancer","Colon Cancer","Cancer Risk","Cancer, Treatment-Related","2024-10-20",{"date":281,"type":38},"2024-10-22",{"date":283,"type":38},"2022-06-01",{"date":134,"type":22},{"name":286,"class":45},"Union Hospital, Tongji Medical College, Huazhong University of Science and Technology",{"id":288,"slug":289,"hasResults":11,"nctId":290,"briefTitle":291,"officialTitle":292,"acronym":4,"eligibilityCriteria":293,"healthyVolunteers":16,"sex":53,"minAge":18,"maxAge":294,"enrollmentInfo":295,"targetDuration":4,"studyType":23,"phases":297,"briefSummary":298,"conditions":299,"keywords":4,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":303,"lastUpdatePostDateStruct":304,"startDateStruct":306,"completionDateStruct":308,"leadSponsor":310,"locationsCount":137},"100462203","faith-in-action-a-church-based-navigation-model-to-increase-breast-cancer-screening-in-korean-women-100462203","NCT05298605","Faith in Action! A Church-Based Navigation Model to Increase Breast Cancer Screening in Korean Women","Faith in Action! A Cluster-Randomized Trial to Evaluate the Efficacy of a Church-based Navigation Model to Increase Breast Cancer Screening Among Korean Women in Los Angeles","Inclusion Criteria:\n\n* Korean woman who is 45 years or older\n* Does not currently have a breast cancer diagnosis\n* Non-adherent to cancer screening (did not receive mammogram in last 2 years based on self-report)\n* Prospective or current member of participating Korean Churches\n* Willing to participate in study\n\nExclusion Criteria:\n\n* Does not meet inclusion criteria as described above","80 Years",{"count":296,"type":22},320,[25],"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.",[300,301,28,302],"Breast Cancer Female","Health Knowledge, Attitudes, Practice","Health Disparities","2024-08-23",{"date":305,"type":38},"2024-08-27",{"date":307,"type":38},"2022-07-16",{"date":309,"type":22},"2025-12-01",{"name":311,"class":45},"Cedars-Sinai Medical Center",{"id":313,"slug":314,"hasResults":11,"nctId":315,"briefTitle":316,"officialTitle":317,"acronym":4,"eligibilityCriteria":318,"healthyVolunteers":11,"sex":53,"minAge":146,"maxAge":4,"enrollmentInfo":319,"targetDuration":4,"studyType":174,"phases":4,"briefSummary":321,"conditions":322,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":328,"lastUpdatePostDateStruct":329,"startDateStruct":331,"completionDateStruct":333,"leadSponsor":334,"locationsCount":75},"100558963","cervical-cytology-dna-methylation-for-cervical-cancer-screening-100558963","NCT06557954","Cervical Cytology DNA Methylation for Cervical Cancer Screening","Cervical Cytology DNA Methylation for Cervical Cancer Screening: A Real Word Study","Inclusion Criteria:\n\n* Aged 18 years or older\n* With uterine cervix intact\n* Given consents to participate the study\n* With detailed follow-up outcomes\n\nExclusion Criteria:\n\n* Not meeting all of the inclusion criteria",{"count":320,"type":22},30000,"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\u002FJAM3m), 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\u002FJAM3m 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\u002FJAM3m. 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.",[323,324,325,326,327,28],"Cervical Cancer","DNA Methylation","Cytology","Human Papillomavirus Infection","Cervical Intraepithelial Neoplasia","2024-08-15",{"date":330,"type":38},"2024-08-19",{"date":332,"type":22},"2024-09-01",{"date":134,"type":22},{"name":335,"class":45},"Lei Li",{"id":337,"slug":338,"hasResults":11,"nctId":339,"briefTitle":340,"officialTitle":341,"acronym":4,"eligibilityCriteria":268,"healthyVolunteers":16,"sex":17,"minAge":146,"maxAge":84,"enrollmentInfo":342,"targetDuration":4,"studyType":174,"phases":4,"briefSummary":271,"conditions":343,"keywords":4,"overallStatus":105,"whyStopped":4,"lastUpdateSubmitDate":344,"lastUpdatePostDateStruct":345,"startDateStruct":347,"completionDateStruct":348,"leadSponsor":350,"locationsCount":75},"100471996","artificial-intelligence-system-for-assessment-of-tumor-risk-and-diagnosis-and-treatment-100471996","NCT05426135","Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment","Development of an Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment Based on Multimodal Data Fusion Using Deep Learning Technology",{"count":270,"type":22},[253,273,29,274,275,276,277,28,278],"2022-06-17",{"date":346,"type":38},"2022-06-21",{"date":283,"type":38},{"date":349,"type":22},"2026-10",{"name":286,"class":45}]