[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"ret-proto-oncogene-mutation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:ret-proto-oncogene-mutation":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":30,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":39,"lastUpdatePostDateStruct":40,"startDateStruct":43,"completionDateStruct":45,"leadSponsor":47,"locationsCount":5},"100596248","ret-us-study---ultrasound-based-prediction-of-ret-alterations-and-lateral-neck-metastasis-in-thyroid-cancer-100596248",false,"NCT07042984","RET-US Study - Ultrasound-Based Prediction of RET Alterations and Lateral-Neck Metastasis in Thyroid Cancer","RET-US Cohort: Prospective Evaluation of an AI-Ultrasound Model for Detecting RET Gene Alterations and Predicting Lateral Cervical Lymph-Node Metastasis in Papillary Thyroid Carcinoma","RET-US","Inclusion Criteria:\n\n* Age 18-75 years, able to provide written informed consent.\n* Pre-operative ultrasound findings highly suggestive of papillary thyroid carcinoma.\n* Planned thyroidectomy (any extent) at a participating institution.\n* Willing to undergo rapid 11-gene next-generation sequencing (NGS) panel and allow use of ultrasound DICOM images for AI analysis.\n\nExclusion Criteria:\n\n* Prior thyroid or major neck surgery.\n* Known medullary thyroid carcinoma, anaplastic carcinoma, or metastatic disease outside the neck.\n* Multiple endocrine neoplasia (MEN) syndromes or clinical suspicion of multi-gland disease.\n* Pregnant or breastfeeding.\n* Severe renal impairment (eGFR \\\u003C 30 mL\u002Fmin\u002F1.73 m²) or other condition that precludes surgery or gene testing.","ALL","18 Years","75 Years",{"count":21,"type":22},800,"ESTIMATED","OBSERVATIONAL","Why is this study being done? RET gene alterations occur in only 5-10 % of papillary thyroid cancers, but they can change how surgeons treat the disease. Gene testing is costly and not always performed, so many RET-positive tumours are missed. Researchers have built a computer program (artificial-intelligence or \"AI\" model) that reads routine thyroid ultrasound images and predicts whether the tumour carries a RET alteration and whether the cancer has already spread to lymph-nodes in the side of the neck.\n\nWhat will happen in this study?\n\nAbout 800 adults who are scheduled for thyroid-cancer surgery will take part. Each participant will:\n\n* have a standard pre-operative ultrasound exam (no extra scanning time),\n* give a routine fine-needle sample for a 14-gene panel test (results in 24 h), and\n* allow the AI model to analyse the ultrasound images in the background. Doctors making treatment decisions will not see the AI result. After surgery, the research team will compare the AI predictions with the gene-panel result and the final pathology report.\n\nMain goal: To find out how accurately the AI model detects RET alterations. Secondary goals: To measure the model's ability to predict lymph-node spread, and to compare costs between ultrasound-only prediction and full gene testing.\n\nBenefits and risks: Participants will receive the current standard of care; there is no added risk beyond the usual ultrasound and needle biopsy. The study could lead to faster, less expensive ways to identify high-risk thyroid cancers in the future.",[26,27,28,29],"Papillary Thyroid Carcinoma","Thyroid Neoplasms","RET Proto-Oncogene Mutation","Lymphatic Metastasis",[31,32,33,34,35,36,37],"Ultrasound Radiomics","Artificial Intelligence","RET Fusion","BRAF V600E","Lateral Neck Metastasis","Deep Learning Model","11-Gene Panel","NOT_YET_RECRUITING","2025-06-21",{"date":41,"type":42},"2025-06-29","ACTUAL",{"date":44,"type":22},"2025-07-01",{"date":46,"type":22},"2029-12-31",{"name":48,"class":49},"Fujian Medical University","OTHER"]