Clinical trials

This is a multicenter, open-label, blinded-endpoint, randomized controlled trial comparing super large bore catheter aspiration versus stent retriever thrombectomy as the first-line technique for anterior circulation large vessel occlusion in acute ischemic stroke. Eligible patients with acute ischemic stroke due to internal carotid artery intracranial segment and/or middle cerebral artery M1 occlusion will be randomized 1:1 to receive either aspiration using a super large bore catheter (inner diameter ≥0.080 inch) or stent retriever thrombectomy (allowing balloon guiding catheters or intermediate catheters with inner diameter \<0.080 inch). The primary outcome is the ordinal modified Rankin Scale score at 90 days post-procedure. Key secondary outcomes include the proportion of patients with mRS 0-2 at 90 days, change in NIHSS at 24 hours and 7 days, and various angiographic and safety endpoints. The trial plans to enroll 708 patients across approximately 30 centers in China. The total study duration is 24-36 months, with each patient participating for 3 months.

This study will prospectively compare the preventive effect of liposomal bupivacaine combined with plain bupivacaine versus plain bupivacaine alone on rebound pain after nerve block in patients undergoing orthopedic extremity surgery. The primary aim is to assess whether the combination reduces the incidence or severity of rebound pain (i.e., more effectively covers the postoperative inflammatory peak on days 2-3 and provides a smoother regression curve of sensory blockade). Secondary aims include evaluation of upper limb functional scores, occurrence of chronic pain, and health-related quality of life. All aims will be assessed over 72 hours or the duration of hospitalization if shorter.

The main goal of this study is to find out if a new, quick "brain rescue" procedure can help people recover better from a severe stroke caused by a large vessel occlusion. When someone has this type of stroke, doctors often perform a procedure called an endovascular thrombectomy (EVT). In EVT, they thread a thin tube through a blood vessel up to the brain to remove the clot and restore blood flow. This is a highly effective treatment. However, for some patients, suddenly restoring blood flow can cause additional, unexpected injury to the brain. This is called "reperfusion injury." This study tests a technique called rapid local ischemic postconditioning (RL-IPostC) that might prevent this extra damage. It's a very simple additional step performed immediately after the clot is successfully removed. The doctor would briefly inflate and deflate a tiny balloon inside the proximal brain artery after recanalization, creating very short, controlled "pauses" in blood flow. This is believed to give brain cells a gentler "wake-up" call, helping them tolerate the return of oxygen-rich blood. The study will test two different "doses" of this procedure (meaning different numbers of inflation/deflation cycles) against the standard care (no additional procedure). Phase IIb (the first part): Which dose of RL-IPostC (high or low) is more promising for reducing early brain swelling (measured by whether the brain's midline has shifted less than 3 mm on a 24-hour scan)? Phase III (the main part): Using the best dose from Phase IIb, does RL-IPostC improve a patient's functional recovery three months later, specifically enabling them to walk and manage daily activities without help? A total of 288 participants who have had a large-vessel occlusion stroke and successful clot removal will be enrolled. If early results look promising but not quite conclusive, the study can increase the total number of participants up to 448 to get a clearer answer. If successful, this study could identify a simple, low-cost add-on procedure to a standard stroke treatment that improves long-term recovery and quality of life for thousands of stroke patients. It's a potential new tool to protect the brain after blood flow is restored. This is a carefully designed study testing a gentle "on/off" blood flow technique right after clot removal, to see if it can reduce brain injury and help people walk and live more independently after a severe stroke.

This study evaluates the diagnostic accuracy of Indocyanine Green (ICG) fluorescence imaging in visualizing Tenosynovial Giant Cell Tumor (TGCT) lesions during surgery. Patients diagnosed with TGCT will receive an intravenous injection of ICG prior to the operation to label tumor tissues. During the procedure, surgeons will use a near-infrared fluorescence imaging system to visualize the tumor and potential residual lesions in the surgical bed. The study aims to determine the sensitivity, specificity, positive predictive value, and negative predictive value of ICG fluorescence imaging by comparing the intraoperative fluorescence findings with the final pathological results of the resected tissues.

This study evaluates the diagnostic accuracy of Indocyanine Green (ICG) fluorescence imaging in visualizing residual lesions of Giant Cell Tumor of Bone (GCTB) in the tumor cavity during surgery. Patients diagnosed with GCTB will receive an intravenous injection of ICG prior to the operation to label tumor tissues. During the procedure, surgeons will use a near-infrared fluorescence imaging system to visualize the tumor cavity and identify potential residual lesions after standard curettage. The study aims to determine the sensitivity, specificity, positive predictive value, and negative predictive value of ICG fluorescence imaging by comparing the intraoperative fluorescence findings with the final pathological results of the validation samples.

1. Study Purpose This research aims to develop a novel, non-invasive, and simple method to predict difficult intubation before surgery. The core idea is that the anatomy of a person's throat and mouth, which determines the ease of intubation, also uniquely shapes their voice. By analyzing the acoustic features of specific vowel sounds using machine learning, we seek to identify voice patterns associated with difficult airways. The ultimate goal is to create a tool that allows for a quick, painless pre-operative risk assessment, enhancing patient safety by better preparing anesthesiologists. 2. Study Design This is a prospective, observational, single-center study. It is purely observational and does not involve any changes to standard medical care or anesthesia procedures. 3. Participants We plan to enroll 300 patients. Who can join: Patients aged 15-70 scheduled for elective surgery requiring general anesthesia with tracheal intubation. Who cannot join: Individuals with speech/hearing impairments, significant neurological diseases affecting speech, or conditions contraindicating standard laryngoscopy. 4. Study Procedures For participants, the study involves one key procedure in addition to standard care:Voice Recording: Before surgery, participants will be asked to lie down and pronounce the vowels "a," "e," and "i" steadily for 1-2 seconds. This will be done twice: once with the head in a normal position and once with the head tilted back. A high-quality recorder will capture the sounds. This process is painless and takes only a few minutes. Standard anesthesia and intubation will then proceed as usual. The anesthesiologist will record the laryngeal view obtained during intubation, which will be used to classify the case as "difficult" or "non-difficult" for analysis. 5. Data Analysis The primary goal is to determine if there are statistically significant differences in the key voice resonance frequencies (F1, F2, F3) between the difficult and non-difficult intubation groups. Advanced machine learning models will be built to create the predictive algorithm. 6. Risks and Benefits Benefits: There is no direct medical benefit to participants. The contribution is to future medical knowledge and patient safety. Risks: The study involves minimal risk. The voice recording is non-invasive and safe. The main risk is the potential loss of confidentiality, which is mitigated by strict data protection protocols. 7. Confidentiality \& Ethics All patient data will be de-identified and stored securely. The study protocol and informed consent form have been approved by the Institutional Ethics Committee of Shanghai Sixth People's Hospital. Participation is voluntary, and participants may withdraw at any time without affecting their medical care. Written informed consent will be obtained from every participant before any study procedures.

The primary objective of this study is to evaluate the vulnerability of intracranial and extracranial atherosclerotic plaques using HR-VWI, OCT, and RWS technologies, while exploring correlations among these three imaging techniques. Secondary objectives include: 1) Investigating the relationship between RWS and plaque progression and identifying optimal RWS predictors; 2) Further evaluating the clinical value of RWS and HR-VWI in stroke prediction through two-year clinical and HR-VWI follow-up evaluations.

The primary objective of this study is to investigate the predictive value of High-resolution magnetic resonance vessel wall imaging for future stroke occurrence in patients with moderate to severe intracranial and extracranial artery stenosis. The secondary objective is to explore the predictive value of baseline high-resolution magnetic resonance vessel wall imaging for plaque progression.

Atherosclerotic stenosis of the carotid and intracranial arteries is one of the leading causes of ischemic cerebrovascular events worldwide. Among these, intracranial atherosclerotic stenosis has an incidence rate of up to 46.6% in patients with ischemic stroke or transient ischemic attack (TIA) in China. The continuous advancement of high-resolution vascular wall imaging (HR-VWI) technology has enabled multi-dimensional imaging of the arterial walls of both intracranial and extracranial vessels. By suppressing intravascular flow, this technique allows clear visualization of the vascular wall morphology and signal characteristics, as well as the identification of plaque composition and assessment of vulnerable plaque features. However, due to the smaller size of intracranial atherosclerotic plaques, the image quality and effectiveness of current 3.0T high-resolution magnetic resonance imaging (MRI) are influenced by hardware and software limitations, as well as imaging parameters, making it difficult to accurately perform qualitative and quantitative analysis of intracranial and extracranial plaques. The advent of ultra-high field 5.0T MRI overcomes the limitations of 3.0T MRI in imaging, significantly improving the signal-to-noise ratio and allowing for clearer visualization of the signal characteristics of the arteria.

Chest wall tumors are one of the important diseases in thoracic surgery, and surgery remains the main method for treating this disease in clinical practice. The surgery for chest wall tumors requires extensive resection, and more importantly, precise resection. If the resection range is insufficient, it is easy to cause tumor recurrence and metastasis, which affects the patient's survival; If the resection range is too large, it will cause damage to the chest wall structure, affecting the patient's postoperative recovery and quality of life. At present, the determination of the surgical resection range mainly relies on the experience of the surgeon and the results of imaging examinations. Even if experienced surgeons still have multiple imaging examination results, there are still clinical difficulties of insufficient or excessive resection. Medical artificial intelligence is the in-depth application of artificial intelligence technology in the field of medicine. By processing and analyzing massive amounts of medical data, it can accurately locate tumors and optimize surgical plans. Therefore, it is proposed to compare the clinical effects of surgical resection of chest wall tumors using medical artificial intelligence algorithms and conventional imaging examination methods, in order to understand whether it can achieve more accurate tumor resection.

Aneurysmal subarachnoid hemorrhage (SAH) is one of the critical diseases that severely threaten human health, with a clinical mortality rate reaching as high as 30%. Early diagnosis and intervention before rupture are considered key to improving the prognosis of aneurysmal SAH. With the widespread clinical application of non-invasive cerebrovascular imaging techniques, such as CTA and MRA, the detection rate of unruptured intracranial aneurysms (UIAs) has significantly increased. However, addressing the growing demand for clinical cerebrovascular imaging diagnostics raises the challenge of improving diagnostic accuracy while alleviating the workload of diagnostic physicians. Furthermore, considering that not all detected UIAs will rupture, it is crucial to accurately identify high-risk aneurysms prone to rupture to avoid unnecessary overtreatment, which could lead to significant socioeconomic burdens and iatrogenic harm to patients.To meet this clinical need, researchers have developed an artificial intelligence (AI) algorithm to create software capable of automatically identifying intracranial aneurysms based on non-invasive vascular imaging data, enabling accurate diagnosis of aneurysms. To evaluate the clinical utility of this AI algorithm, a prospective, multicenter, registry study was proposed. Through long-term standardized and uniform non-invasive imaging follow-up, individualized imaging analysis profiles will be established. By correlating these profiles with aneurysm outcome events (growth or rupture), imaging features capable of accurately predicting aneurysm growth and rupture will be identified and analyzed. This approach is expected to enhance the accuracy of UIA diagnosis and enable risk stratification for unruptured intracranial aneurysms through the utilization of relevant data.

Chest wall tumors are one of the important diseases in thoracic surgery, and surgery is still the main treatment for this disease in clinical practice. Surgery for chest wall tumors requires extensive resection. However, the extensive chest wall defect formed after extensive resection can lead to the destruction of the integrity and stability of the chest wall, thus requiring chest wall reconstruction. The reconstruction of the chest wall after resection has always been a difficult point in chest wall tumor surgery, and the reconstruction of the chest wall bone is a key point in chest wall reconstruction. The goals of successful chest wall bone reconstruction include restoring chest wall rigidity, minimizing chest wall deformities, maintaining lung mechanics, and protecting thoracic organs. At present, traditional reconstruction methods are based on simulating and restoring the anatomical structure of the thoracic spine. For certain special areas of chest wall defects (such as posterior rib and paraspinal tumors), it is difficult to perform residual fixation; At the same time, traditional reconstruction methods suffer from insufficient stability after reconstruction, such as loosening, detachment, displacement, and even fracture. Therefore, it is necessary to design new chest wall reconstruction methods to meet clinical needs.

Acute ischemic stroke (AIS) caused by intracranial large vessel occlusion (LVO) in the anterior circulation significantly contributes to stroke-related disability and mortality. Recent randomized controlled trials have demonstrated substantial benefits of endovascular thrombectomy (EVT) when patients are appropriately triaged beforehand. However, accurately orienting the 'missed segment' during EVT remains challenging. Guide-wires often fail to navigate through the occlusion or are mistakenly directed into the small tranches or even cause vessel rupture. To address this clinical need, the investigators developed an artificial intelligence (AI) algorithm to automate the reconstruction of CT angiography (CTA), focusing on the occluded LVO segment. To evaluate the clinical utility of this AI algorithm, the investigators propose a prospective, stepped-wedge cluster-randomized study to determine whether integrating our AI algorithm into AIS care flow can reduce the time for first pass of the thrombus by improving the visualization of the occluded segment on CTA. Physicians will assess patient eligibility for thrombectomy, and all selected patients will receive standard care according to current guidelines. This approach is expected to enhance patient treatment outcomes for endovascular thrombectomy by leveraging readily available data.

This study is a prospective, single-arm, phase II, single-center study. Patients with locally unresectable giant osteosarcoma masses who meet the criteria are enrolled in the experimental group, and all patients receive a single dose of 10Gy of implantable brachytherapy. Record treatment-related acute events during and after treatment. Follow up on survival and local control after treatment ends, marking the end of the trial treatment.

Based on various external factors and differences in the basic characteristics of patients, in my country, it is not clear whether concurrent chemoradiotherapy can achieve optimal therapeutic effect in patients with pathologically diagnosed stage IIB or above locally advanced cervical cancer. Under the limitations of radiotherapy and surgery conditions in the region, some patients will try neoadjuvant chemotherapy combined with PD-1 antibody therapy before standard radiotherapy, hoping to reduce cancer focus and reduce infiltration. Thereby reducing the scope of radiotherapy, better ensure the efficacy of late radiotherapy and chemotherapy and reduce the side effects of radiotherapy. Judging from the review of such patients, neoadjuvant chemotherapy combined with PD-1 antibody therapy + radical radiotherapy seems to have certain efficacy and tolerance in the near future as expected. No statistical analysis has been done on the long-term survival of patients. This topic intends to treat inoperable locally advanced cervical cancer patients with neoadjuvant chemotherapy combined with PD-1 antibody + radical radiotherapy, and explore the treatment-related toxic and side effects and efficacy of neoadjuvant chemotherapy combined with PD-1 antibody + radical radiotherapy. It is hoped that through this study, it will provide a reference for the comprehensive treatment of inoperable locally advanced cervical cancer that has been pathologically diagnosed in the future.

To determine the safety and efficacy of in situ ischemic postconditioning immediately after successful reperfusion in AIS patients underwnet EVT.