[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"focal-nodular-hyperplasia\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:focal-nodular-hyperplasia":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,50],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":33,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":39,"lastUpdatePostDateStruct":40,"startDateStruct":43,"completionDateStruct":44,"leadSponsor":46,"locationsCount":49},"100651979","pragmatic-rct-of-ai-assisted-reading-for-malignant-hepatic-lesions-on-ce-ct-100651979",false,"NCT07768085","Pragmatic RCT of AI-Assisted Reading for Malignant Hepatic Lesions on CE-CT","A Multicenter Randomized Controlled Trial of AI-Assisted Reading Compared With Standard Radiology Interpretation for Malignant Hepatic Lesions on Contrast-Enhanced CT: Diagnostic, Clinical and Workflow Outcomes","Inclusion Criteria:\n\n1. Age range 18 years and above\n2. Underwent dynamic contrast-enhanced abdominal CT examination with liver coverage\n3. Imaging must include at least three required phases: non-contrast, arterial phase, and venous phase; a delayed phase is optional\n4. Complete imaging data that meet AI system and radiologist interpretation requirements.\n\nExclusion Criteria:\n\n1. History of recent upper-abdominal surgery (within 30 days) or major hepatobiliary-pancreatic surgery affecting liver evaluation (e.g., liver transplantation or Whipple procedure); patients with prior simple cholecystectomy or single-lesion interventional procedures are not excluded\n2. History of recent hepatic trauma (within 30 days)\n3. Poor image quality or severe noise artifacts (e.g., metal or motion artifacts)\n4. Missing required imaging phases (required at least non-contrast, arterial, and venous phases) or inadequate scan range (e.g., lower-abdomen CT such as pelvic or rectal scans not covering the liver)",true,"ALL","18 Years",{"count":20,"type":21},40000,"ESTIMATED","INTERVENTIONAL",[24],"NA","The purpose of this multicenter pragmatic randomized controlled trial is to determine whether AI-assisted interpretation of multiphasic liver contrast-enhanced computed tomography (CE-CT) is non-inferior to standard radiology reporting with respect to missed clinically significant malignant focal liver lesions, \\*\\*with the non-inferiority margin prespecified in the statistical analysis plan before enrollment\\*\\*, and whether it improves lesion detection, diagnostic characterization, downstream clinical management, and reporting efficiency. On AI-assisted center-days, AI results will be revealed only after the first-line radiologist has saved an unaided initial assessment and may be used to revise the final report. On control center-days, examinations will be interpreted using the standard radiology workflow without access to AI tools.",[27,28,29,30,31,32],"Hepatocellular Carcinoma (HCC)","Intrahepatic Cholangiocarcinoma (Icc)","Hepatic Metastasis","Hepatic Hemangioma","Cyst","Focal Nodular Hyperplasia",[34,35,36,37],"Dynamic Contrast-Enhanced CT","Focal Liver Lesions","Artificial intelligence","AI-assisted interpretation","NOT_YET_RECRUITING","2026-08-14",{"date":41,"type":42},"2026-08-17","ACTUAL",{"date":41,"type":21},{"date":45,"type":21},"2027-12-31",{"name":47,"class":48},"Shengjing Hospital","OTHER",1,{"id":51,"slug":52,"hasResults":11,"nctId":53,"briefTitle":54,"officialTitle":54,"acronym":55,"eligibilityCriteria":56,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":57,"enrollmentInfo":58,"targetDuration":4,"studyType":60,"phases":4,"briefSummary":61,"conditions":62,"keywords":65,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":4},"100647408","application-of-super-resolution-ultrasound-srus-in-liver-tumor-100647408","NCT07707661","Application of Super-Resolution Ultrasound (SRUS) in Liver Tumor","SRUS","Inclusion Criteria:\n\n1. Any gender, 18 years or older;\n2. People newly diagnosed with liver tumors, including:\n\n   ① Hepatocellular carcinoma; ② Cholangiocarcinoma; ③ Liver metastases; ④ Liver hemangioma; ⑤ Focal nodular hyperplasia of the liver.\n3. Need to have a contrast-enhanced ultrasound as part of routine care;\n4. Willing to join this study and sign the informed consent after discussing it with the doctor.\n\nExclusion Criteria:\n\n1. During the data collection process, if the participant is unable to cooperate fully, preventing the collection from being completed;\n2. If the skin in the collection area is broken or scabbed, or if there's too much ascites in the abdominal cavity interfering with sound signal penetration, making data collection impossible;\n3. Previous puncture biopsy or other treatments for existing liver malignant tumors;\n4. Patients with a history of allergy, allergic constitution, or severe intolerance to sulfur hexafluoride or other components of the ultrasound contrast agent;\n5. Patients who refuse to participate in this study;\n6. Any uncontrollable comorbidities that could limit the patient's adherence to the study requirements or affect their ability to sign the written informed consent;\n7. Poor overall condition or inability to tolerate relevant examinations;\n8. Participants whom the researcher deems unsuitable for inclusion in the study","80 Years",{"count":59,"type":21},350,"OBSERVATIONAL","The macroscopic vascular supply of liver tumors varies considerably according to histological subtype, lesion size, and disease stage. Current clinical imaging modalities primarily characterize liver tumors based on their macroscopic vascular perfusion patterns. Conventional color Doppler ultrasonography enables qualitative assessment of tumor vascularity, facilitates the differentiation of benign from malignant hepatic lesions, delineates the anatomical relationship between tumors and major intrahepatic vessels, and detects vascular invasion. Nevertheless, these macroscopic vascular characteristics arise from complex microvascular architectures, including vascular distribution patterns, microvessel density, vessel morphology and tortuosity, blood flow velocity, and flow direction. Despite the critical role of tumor microcirculation in tumor progression and therapeutic response, the heterogeneity of microvascular hemodynamics among different liver tumors remains inadequately characterized.\n\nThe emergence of Super Resolution Ultrasound Imaging (SRUS) has markedly advanced ultrasound imaging by overcoming the acoustic diffraction limit, enabling visualization of microvessels with diameters as small as approximately 20 μm. Unlike conventional ultrasound techniques, SRUS preserves the inherent advantages of ultrasound, including deep tissue penetration and a large field of view, while achieving an approximately tenfold improvement in spatial resolution. This unique combination effectively bridges the long-standing gap between imaging depth and spatial resolution in vascular imaging. Furthermore, by localizing and tracking individual circulating microbubbles,SRUS enables quantitative assessment of microvascular blood flow velocity over a broad dynamic range without Doppler angle dependence. Consequently, super-resolution ultrasound imaging offers an unprecedented opportunity to characterize and compare the microvascular hemodynamic features of benign and malignant liver lesions, thereby improving the accuracy of preoperative differential diagnosis, tumor staging, therapeutic response assessment, and prognostic evaluation.",[27,63,30,32,64],"Intrahepatic Cholangiocellular Carcinoma","Liver Metastasis",[66,55,67,68],"HCC","ICC","LM","2026-07-12",{"date":71,"type":42},"2026-07-16",{"date":73,"type":21},"2026-07-01",{"date":75,"type":21},"2027-09-01",{"name":77,"class":48},"Eastern Hepatobiliary Surgery Hospital"]