View clinical trials related to IMAGE.
Filter by: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
Many human diseases are characterized by their ability to alter existing metabolic pathways and interrupt cellular processes. Cancer exploits the Warburg effect and utilizes greater glucose than normal cells and within this process uses anaerobic respiration, leading to increased conversion of pyruvate to lactate. This can be exploited by hyperpolarized imaging. Hyperpolarized 13C MRI imaging is an approach that utilizes a stable isotope of Carbon (13C) linked to pyruvate. MRI spectroscopy is used in conjunction with hyperpolarized 13C pyruvate in order to temporally detect pyruvate and its conversion to lactate in-vivo, in order to visualize downstream metabolic (glycolytic) activity secondary to the Warburg effect, which should be useful in detecting and characterizing tumors of various types. Hyperpolarized 13C pyruvate MR imaging has not been tested in most cancers. In this preliminary survey, we will test the hypothesis that hyperpolarized 13C pyruvate MR imaging can be used to image various cancers.
89 patients with distal sigmoid and rectal cancer were referred in our observation and underwent MS-CTA between June 2020 and March 2022. We classified the distribution of LCA and confirmed whether there exists AMCA (accessory middle colic artery). Then we planned blood flow path based on the classification of LCA branches before operation. High ligation was applied in regular radical surgery. During operation, we carefully protect the bifurcation of ascending and descending LCA. Then we compared the planned blood flow path with the actual postoperative blood flow path to verify the mechanism we proposed previously.
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 purpose of this study is to clarify the changes of neurocognitive function of patients undergoing cardiac valve disease before and after surgical treatment under cardiopulmonary bypass operation, and to predict the neurological prognosis of such patients through combined imaging technology, so as to improve and avoid the occurrence of postoperative neurological dysfunction in such patients.
Detecting the cause of keratitis fast is the premise of providing targeted therapy for reducing vision loss and preventing severe complications. Due to overlapping inflammatory features, even expert cornea specialists have relatively poor performance in the identification of causative pathogen of infectious keraitis. In this project, the investigators aim to develop an automated and accurate deep learning system to discriminate among bacterial, fungal, viral, amebic and noninfectious keratitis based on slit-lamp images and evaluated this system using the datasets obtained from mutiple independent clinical centers across China.
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 aim of this study is to investigate the effect of a competition season on shoulder periarticular structures, muscle strength, muscle endurance, joint range of motion and upper extremity performance in young swimmers.
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.