Diagnoses Disease

4

Review clinical trials related to Diagnoses Disease. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Recruiting

Optimizing Bronchopulmonary Cancer Screening

The aim of this study is to evaluate the feasibility of performing a first screening for bronchopulmonary cancer by thoracic scanner in a French cohort within a dedicated, effective and structured network in the pilot centers participating in the study.

Participants needed: 500
Trial details
Age: 50-74Biological sex: AllType: InterventionalSponsor: Institut CurieUpdated: Jun 2, 2026Locations: 8
Eligibility criteria

Participant aged 50 to 74. [+6]

Active cancer or a history of cancer in remission for less than 5 years (except... [+7]

Status: Recruiting

Artificial Intelligence for Highly Myopic Cataract

This study aims to establish a multi-center artificial intelligence model for the accurate calculation of intraocular lens and its clinical application in highly myopic cataract, so as to improve the accuracy of the prediction of postoperative diopter in highly myopic cataract patients.

Participants needed: 500,000
Trial details
Biological sex: AllType: ObservationalSponsor: Shanghai High Myopia Study GroupUpdated: May 11, 2026Locations: 1
Eligibility criteria

Not listed

Status: Recruiting

Early Detection of Endometrial/Ovarian Cancer and Hereditary Predisposition of These Cancers

Early stage high-grade cancer, endometrial and ovarian, has few, if any, symptoms or signs. When symptoms appear, the disease is commonly in advanced stage meaning it has left the gynaecological organs and metastasized to the pelvic/abdominal cavity. The McGill research group had showed in the DOvEE trial (NCT02296307), that fast-track assessment with transvaginal ultrasound scans (TVUS) and serial CA125 of women with vague symptoms associated with ovarian and endometrial cancer did diagnose these cancers earlier in the disease trajectory, with low-volume resectable disease, but only after the cancer had already become Stage III. One way to detect these cancers earlier is to screen asymptomatic women. Unfortunately, none of the currently available tests, including TVUS and CA-125 have been shown to be useful for screening for ovarian or endometrial cancer. The McGill team has developed a genomic assay to screen and detect these cancers earlier in the trajectory than is currently the case. The test identifies pathogenic somatic mutations (necessary early steps in the development of these cancers), in an uterine cytological sample. It is able to do so by incorporating a machine-learning derived classifier that can discriminate the mutational signature of these cancers from benign disease with a sensitivity of 80% and a specificity of 100% in a healthy population of peri- and post-menopausal women. In addition to the uterine sample, the test includes a saliva sample that acts as an internal control but can also identify germline pathogenic variants that predispose to hereditary endometrial/ovarian cancers as well as breast, pancreas, and colon cancers. The test was developed in a retrospective population in whom the assay was done pre-operatively and the diagnosis of malignancy versus benign gynecological disease was confirmed by detailed pathological analysis of the uterus, tubes, and ovaries after surgical resection (NCT02288676). The test is now ready to be tested as a phase III diagnostic test in the general population to see if these results are just as promising in the community at large.

Participants needed: 5,600
Trial details
Age: 45-75Biological sex: FemaleType: InterventionalSponsor: McGill UniversityUpdated: Jun 17, 2025Locations: 2
Eligibility criteria

Prior hysterectomy [+4]

Status: Recruiting

Establish Diagnostic Models Based on Portal Venous Blood for Pancreatic Cancer

Explore new markers based on portal venous blood sampling to establish novel diagnostic models for identification of malignant pancreatic mass.

Participants needed: 300
Trial details
Age: 18-80Biological sex: AllType: ObservationalSponsor: Changhai HospitalUpdated: Mar 29, 2024Locations: 1
Eligibility criteria

age 18-75 years,male or female [+3]

pregnant female [+7]