There are about 3753 clinical studies being (or have been) conducted in Hong Kong. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
Lung cancer is one of main cause of cancer death in worldwide, characterized of low 5-year survival rate of less than 20%. Pulmonary nodule is considered as the typical imaging manifestation in early stage of lung cancer. The National Lung Screen Trial has demonstrated that the mortality rates could decline greatly, by the utility of low-dose helical computed tomography for screen of pulmonary nodules. Thus, automatic detection, diagnosis and management of pulmonary nodules, play the vital roles in computer-aided lung cancer screening and early intervention.
This is a randomized controlled trial comparing the short-term effect of electromoxibustion and knee health education for relieving knee pain in older adults with knee osteoarthritis.
The aim of this study is to investigate the effects of intermittent theta burst stimulation primed with continous theta burst stimulation (cTBS), on top of a standard robot-assisted training (RAT) on improving the upper limb motor functions of stroke survivors and to explore potential sensorimotor neuroplasticity with electroencephalography (EEG).
This is an international multi-center randomised controlled study comparing outcomes of gastric endoscopic submucosal dissection (ESD) with or without addition of epinephrine in the submucosal injection solution.
This study aims at understanding the needs and concerns of the ethnic minority in Hong Kong, including their behavior, attitudes, and experiences related to smoking and smoking cessation. Specifically, how the level of smoking-related knowledge among them differ from the rest of the Hong Kong people, will be explored. In addition, whether Hong Kong smoking policy influenced the smoking pattern of them will be investigated.
The aim of this study is to quantify and characterize the outcomes of radiofrequency (RF) ablation after, and the utility of, electroanatomical mapping with the market-released HD mapping catheters Inquiry™ AFocusII™ Double Loop and Advisor™ HD Grid, Sensor Enabled™ with the EnSite Cardiac Mapping System and the EnSite Automap module in subjects with AF in the real-world environment of the Asian population.
This is an exploratory qualitative study to understand the needs of patients with pneumoconiosis, and the care-giving experience of their family caregivers. Patients with a confirmed diagnosis of pneumoconiosis for at least 1 year and had registered with the Pneumoconiosis Compensation Fund Board in Hong Kong to receive compensation will be eligible to join this study. The respective family caregivers of these patients, who are 21 years of age or older, assuming the role as the primary caregivers of a pneumoconiosis patient who have registered with the Pneumoconiosis Compensation Fund Board will be invited to join. The nurse will carry out an individual in-depth qualitative interview at patient's home. The nurse will also conduct a home environment assessment. After obtaining the written consent, an interview guide with a list of open-ended questions will be used to elicit the illness experience and self-care needs of the pneumoconiosis patients and the caregiving experience of their family caregivers.
Osteosarcoma is regarded as most common malignant bone tumor in children and adolescents. Approximately 15% to 20% of patients with osteosarcoma present with detectable metastatic disease, and the majority of whom (85%) have pulmonary lesions as the sole site of metastasis. Previous studies have shown that the overall survival rate among patients with localized osteosarcoma without metastatic disease is approximately 60% to 70% whereas survival rate reduces to 10% to 30% in patients with metastatic disease. Though lately, neoadjuvant and adjuvant chemotherapeutic regimens can decline the mortality rate, 30% to 50% of patients still die of pulmonary metastases. Number, distribution and timing of lung metastases are of prognostic value for survival and hence computed tomography (CT) thorax imaging still plays a vital role in disease surveillance. In the last decade, the technology of multidetector CT scanner has enhanced the detection of numerous smaller lung lesions, which on one hand can increase the diagnostic sensitivity for lung metastasis, however, the specificity may be reduced. In recent years, deep-learning artificial intelligence (AI) algorithm in a wide variety of imaging examinations is a hot topic. Currently, an increasing number of Computer-Aided Diagnosis (CAD) systems based on deep learning technologies aiming for faster screening and correct interpretation of pulmonary nodules have been rapidly developed and introduced into the market. So far, the researches concentrating on the improving the accuracy of benign/malignant nodule classification have made substantial progress, inspired by tremendous advancement of deep learning techniques. Consequently, the majority of the existing CAD systems can perform pulmonary nodule classification with accuracy of 90% above. In clinical practice, not only the malignancy determination for pulmonary nodule, but also the distinction between primary carcinoma and intrapulmonary metastasis is crucial for patient management. However, most existing classification of pulmonary nodule applied in CAD system remains to be binary pattern (benign Vs malignant), in the lack of more thorough nodule classification characterized with splitting of primary and metastatic nodule. To the best of our knowledge, only a few studies have focuses on the performance of deep learning-based CAD system for identifying metastatic pulmonary nodule till now. In this proposed study, the investigators sought to determine the accuracy and sensitivity of one computer-aided system based on deep-learning artificial intelligence algorithm for detection and risk stratification of lung nodules in osteogenic sarcoma patients.
An open-set sentence speech recognition in noise test in Cantonese Chinese, which is applicable on children and adults with hearing impairment, is proposed to be developed in this project.
This study compares 2 medicines for type 2 diabetes: oral semaglutide (a new medicine) and sitagliptin (a medicine doctors can already prescribe). Participants will either get oral semaglutide or sitagliptin - which treatment is decided by chance. Participants will get 2 tablets a day to take first thing in the morning on an empty stomach. Only 1 tablet has study medicine in it. The other tablet is a dummy medicine (placebo). After taking the semaglutide tablet, participants may not eat or drink anything for at least 30 minutes. After the 30 minutes, participants must take the sitagliptin tablet. Then participants can have their first meal of the day and take any other medicines they may need, including their metformin. The study will last for about 7 months (33 weeks). Participants will have 8 clinic visits and 1 phone call with the study doctor. At all 8 of the clinic visits, participants will have blood samples taken.