[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"hypokalemic-periodic-paralysis\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:hypokalemic-periodic-paralysis":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,40],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":4,"enrollmentInfo":17,"targetDuration":4,"studyType":20,"phases":21,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":28,"lastUpdatePostDateStruct":29,"startDateStruct":32,"completionDateStruct":34,"leadSponsor":36,"locationsCount":39},"100607870","effect-of-physical-training-in-individuals-with-hypokalemic-and-hyperkalemic-periodic-paralysis-100607870",false,"NCT07194174","Effect of Physical Training in Individuals With Hypokalemic and Hyperkalemic Periodic Paralysis","Inclusion Criteria:\n\n* Patients with genetic verified HypoPP or HyperPP\n* Age minimum 18 years\n* Able to walk a minimum of 10 meters independently with or without assistive devices and be able to stand from a chair without using hands\n\nExclusion Criteria:\n\n* Other significant cause of muscle weakness\n* Heart or lung disease which, in the investigator's opinion, makes participation in the study training inadvisable\n\nExclusion from muscle biopsy\n\n* Anticoagulant treatment\n* Impaired blood clotting due to disease\n\nExclusion from MRI scanning due to:\n\n* Metal implants in the body that contraindicate MRI scanning or are positioned such that the scan quality is significantly affected\n* Claustrophobia\n* Pregnancy","ALL","18 Years",{"count":18,"type":19},36,"ESTIMATED","INTERVENTIONAL",[22],"NA","This study wishes to investigate the effects of strength exercise in patients with either HypoPP or HyperPP.\n\nThe investigators wishes to include participants already diagnosed with either HypoPP or HyperPP in af 24 week prospective study where the patients will be tested and asked to fill out questionnaires three times. These appointments will be schedueled at week 0, week 12 and week 24.\n\nIn the time period between week 12 and week 24, the patients will have a personalized strength exercise program, which they will have to follow these 3 months. The exercise will be supervised by one or more of the investigators.\n\nWe will also assess the muscle structure and function cross sectionally.",[25,26],"Hypokalemic Periodic Paralysis","Hyperkalemic Periodic Paralysis","RECRUITING","2026-03-24",{"date":30,"type":31},"2026-03-30","ACTUAL",{"date":33,"type":31},"2025-10-02",{"date":35,"type":19},"2026-12-01",{"name":37,"class":38},"Rigshospitalet, Denmark","OTHER",1,{"id":41,"slug":42,"hasResults":11,"nctId":43,"briefTitle":44,"officialTitle":44,"acronym":4,"eligibilityCriteria":45,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":4,"enrollmentInfo":46,"targetDuration":4,"studyType":48,"phases":4,"briefSummary":49,"conditions":50,"keywords":53,"overallStatus":60,"whyStopped":4,"lastUpdateSubmitDate":61,"lastUpdatePostDateStruct":62,"startDateStruct":64,"completionDateStruct":66,"leadSponsor":68,"locationsCount":4},"100586596","muscle-mri-outlining-of-neuromuscular-diseases-using-artificial-intelligence-100586596","NCT06917430","Muscle MRI Outlining of Neuromuscular Diseases Using Artificial Intelligence","Inclusion Criteria:\n\n* Genetically verified diagnosis of neuromuscular diseases.\n* Age above 18 years\n\nExclusion Criteria:\n\n* Contraindications to perform an MRI\n* Competing disorders and other muscle disorders, which may alter measurements. The investigator will decide whether the competing disorder can significantly influence the results",{"count":47,"type":19},120,"OBSERVATIONAL","Background and aim:\n\nNeuromuscular diseases encompass a range of conditions affecting muscle cells, nerves, or the interaction between the two. A common pathological feature of these conditions is the pro-gressive replacement of muscle tissue with fat, which can be visualised using magnetic reso-nance imaging (MRI). MRI-based fat quantification serves as a key biomarker for disease characterisation, progression tracking, and treatment assessment. Currently, manual segmenta-tion of MRI scans for fat quantification is very time-consuming, requiring individual muscle delineation. Therefore, an artificial intelligence (AI) model is being developed to automate the segmentation. The aim of this study is to validate this AI model and assess its possibilities and limitations.\n\nMethod:\n\nThe study is ongoing. Retrospective MRI scans of patients with four different muscle diseases (anoctaminopathy, Becker muscular dystrophy, facioscapulohumeral muscular dystrophy, and hypokalemic periodic paralysis) are collected and manual delineation used for training the AI-model is being performed. The intramuscular fat fraction of individual muscles of the pelvis, thigh, and calf will be analysed using the AI model. The performance of the AI model will be compared to manual segmentation. The AI will be evaluated on metrics such as segmentation accuracy and time efficiency.",[51,52,25],"Becker Muscular Dystrophy","FSHD - Facioscapulohumeral Muscular Dystrophy",[54,55,56,57,58,59],"AI","muscle delineation","automated segmentation","Becker muscular dystrophy","FSHD","HypoPP","NOT_YET_RECRUITING","2025-04-01",{"date":63,"type":31},"2025-04-08",{"date":65,"type":19},"2025-05-01",{"date":67,"type":19},"2035-01-01",{"name":37,"class":38}]