View clinical trials related to IMAGE.
Filter by:This will be the first trial investigating whether tumor targeted fluorescence is able to discriminate invasive T1 carcinoma / High grade dysplasia from Low grade dysplasia/normal tissue during endoscopic intraluminal resection. This will be done using the CEA-targeted fluorescent probe SGM-101.
The present study is a prospective randomized clinical trial aimed to compare the therapeutic strategy of angiography-guided versus concurrent OCT/FFR-guided intervention in patients with coronary artery disease.
This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients. By utilizing the patients' CT imaging data, biopsy pathology images, and clinical information, the intelligent model will predict the post-neoadjuvant chemotherapy efficacy and prognosis, offering assistance in personalized treatment decisions for gastric cancer patients.
This will be the first trial testing the feasibility of working simultaneously with the two fluorescent dyes ICG and SGM-101 in 10 patients with colorectal metastases.
Cerebral venous outflow disturbance can lead to cerebral hemodynamic disturbances, altered cerebrospinal fluid dynamics, cerebral venous blood stasis, increased cerebral venous pressure and decreased cerebral perfusion, cerebral white matter sparing-like changes, and widening of retinal vessel diameter. These changes are associated with numerous neurological signs and symptoms. Therefore, understanding the brain structural and functional changes in patients with cerebral venous outflow disturbance is essential to provide specific imaging evaluation indicators and new diagnosis and treatment methods for patients with cerebral venous return disorders.
This study aims to assess the diagnostic performance of a new fast MRI sequence named Neuromix compared to routine clinical MRI for brain tumor in pediatric patients
This registry will include consecutive patients presenting with at least one chronic total occlusion on coronary angiogram who will be treated by percutaneous coronary intervention in our center. All patients will undergo a non-invasive assessment for myocardial ischemia/viability using cardiac magnetic resonance (CMR) prior to revascularization therapy. Follow up CMR will be repeated in all participants after three months and one year. Additionally, clinical outcomes and quality of life will be evaluated at baseline and at follow-up. Primary objective of this study is to investigate the the reduction in ischemia (as evaluated by follow-up CMR) and the severity of angina according to clinical evaluation (including Seattle Angina Questionnaires [SAQ], Canadian Class Score[CCS] and 6-mins walking test).
The investigators' hypothesis is that cutaneous melanoma, melanoma in situ, dysplastic nevi and benign nevi all differ in not only clinical characteristics but also molecular and genotypic characteristics. Patients with suspected primary cutaneous melanoma or a differential diagnosis, or secondary melanoma can be asked to participate in the first part of the project and patients with suspected or confirmed secondary (spread) melanoma can be included in the second part of the study. Participants included in the study answer a validated questionnaire regarding epidemiological and phenotypic factors to map medical history, prior UV exposure, family history of melanoma and/or other cancer types, skin type, smoking habits, alcohol use and quality of life. Blood samples (whole blood) are collected before primary local excision and before secondary surgical procedures as well as during follow up of patients with secondary disease and oncologic treatment. During local excision of the primary pigmented skin lesion, full-thickness skin punch biopsies are taken by trained dermatologists. The biopsies, in the lesion and next to the lesion in the normal skin of the suspected melanoma, are taken, snap frozen and stored deep frozen. The primary lesions are documented by accurate imaging methods prior to excision. Tissue samples from suspected or confirmed secondary melanomas are collected mainly through surgical and core needle biopsies before, during and after treatment and in case of disease progress or treatment failure. Tissue samples are snap-frozen and stored in the same way as samples from primary melanomas. Comprehensive questionnaire based, imaging-based information, as well as histologic information provided from the pathologist report is included and stored in a secure database. All the information in the database, along with information from molecular analysis of tissue and/or blood samples will then be used to find objective, molecular and clinical differences in melanoma, melanoma in situ, dysplastic and benign nevi along with potential information of biological aggressivity of both primary and secondary melanoma in order to find more objective diagnostic markers.
The application of artificial intelligence in image recognition of cervical lesions diagnosis has become a research hotspot in recent years. The analysis and interpretation of colposcopy images play an important role in the diagnosis，prevention and treatment of cervical precancerous lesions and cervical cancer. At present, the accuracy of colposcopy detection is still affected by many factors. The research on the diagnosis system of cervical lesions based on multimodal deep learning of colposcopy images is a new and significant research topic. Based on the large database of cervical lesions diagnosis images and non-images, the research group established a multi-source heterogeneous cervical lesion diagnosis big data platform of non-image and image data. Research the lesions segmentation and classification model of colposcopy image based on convolutional neural network, explore the relevant medical data fusion network model that affects the diagnosis of cervical lesions, and realize a multi-modal self-learning artificial intelligence cervical lesion diagnosis system based on colposcopy images. The application efficiency of the artificial intelligence system in the real world was explored through the cohort, and the intelligent teaching model and method of cervical lesion diagnosis were further established based on the above intelligent system.
Upper tract urothelial carcinoma (UTUC) diagnosis include urography using computed tomography urography (CTU) or urography using MRI (MRU). The sensitivity of CTU decreases substan¬tially with decreasing lesion size. Other drawbacks of CTU include the radiation exposure and potential adverse effects in patients with allergic reactions or pre-existing renal impairment. In terms of urine cytology, the major drawbacks of urine cytology are low sensitivity and highly dependent of the experience and skills of the cytopathologist. We here intended to investigate whether UroCAD can be added in the diagnostic work-up of UTUC patient, and improve the accuracy of predicting UTUC before surgery.