[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100659565":3},{"organization":4,"outcomesModule":7,"designInfo":31,"detailedDescription":34,"studyPopulation":35,"armGroups":36,"interventions":30,"overallOfficials":40,"centralContacts":45,"locations":54,"responsibleParty":74,"collaborators":30,"id":76,"slug":77,"hasResults":78,"nctId":79,"briefTitle":80,"officialTitle":81,"acronym":82,"eligibilityCriteria":83,"healthyVolunteers":78,"sex":84,"minAge":85,"maxAge":30,"enrollmentInfo":86,"targetDuration":89,"studyType":90,"phases":30,"briefSummary":91,"conditions":92,"keywords":94,"overallStatus":99,"whyStopped":30,"lastUpdateSubmitDate":100,"lastUpdatePostDateStruct":101,"startDateStruct":104,"completionDateStruct":106,"leadSponsor":108,"locationsCount":109},{"fullName":5,"class":6},"University Hospital, Grenoble","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":30},[9],{"measure":10,"description":11,"timeFrame":12},"Assessment of the reliability of an AI algorithm developed as part of the TAILLE-pilot study to estimate height from abdominal CT scan and relevant clinical data, such as gender and sex","Assessment of the differences between CRA-measured height and AI-estimated height (CRA = Clinical Research Associate).\n\nCRA-measured height is the reference","At enrollement",[14,18,21,24,27],{"measure":15,"description":16,"timeFrame":17},"Assessment the most reliable method for height estimation by comparing self-reported and AI-estimated height with CRA-measured height","Differences between CRA-measured height and self-reported height, and between CRA-measured height and AI-estimated height","At enrollment",{"measure":19,"description":20,"timeFrame":17},"Identification of factors that may influence the reliability of the AI algorithm for height estimation, particularly gender and age","Difference between CRA-measured height and AI-estimated height according to factors that may affect the reliability of the algorithm, particularly gender and age",{"measure":22,"description":23,"timeFrame":17},"Assessment of the impact of using self-reported height and AI-estimated height on sarcopenia risk classification","In a hypothetical clinical context, change in sarcopenia risk category according to the SMI value calculated from the muscle area determined by the ODIASP software. Sarcopenia risk will be defined according to the thresholds established by the French National Authority for Health (HAS): men, SMI \\\u003C 52.4 cm²\u002Fm²; women, SMI \\\u003C 38.5 cm²\u002Fm²",{"measure":25,"description":26,"timeFrame":17},"Assessment of the impact of using self-reported height and AI-estimated height on the calculation of the theoretical chemotherapy dose","In a hypothetical clinical context, percentage of patients receiving a chemotherapy dose lower than 85% of the theoretical dose, a threshold below which impaired prognosis has been reported (Nielson et al., 2021). The dose will be calculated based on body surface area, which depends on the weight measured by the CRA and height. The analyses will focus in particular on commonly used chemotherapy regimens for gastrointestinal cancers: 5-fluorouracil 2,400 mg\u002Fm², gemcitabine 1,000 mg\u002Fm², and oxaliplatin 85 mg\u002Fm²",{"measure":28,"description":29,"timeFrame":17},"Assessment of the impact of using self-reported height and AI-estimated height on chronic kidney disease (CKD) staging estimated using the CKD-EPI equation adjusted for body surface area","In a hypothetical clinical context, change in CKD stage determined based on the estimated glomerular filtration rate calculated using the CKD-EPI equation adjusted for body surface area, using the same methodology as for CJS4. This endpoint will be analyzed provided that a serum creatinine value is available in the medical record",null,{"allocation":30,"interventionModel":30,"interventionModelDescription":30,"primaryPurpose":30,"observationalModel":32,"timePerspective":33,"maskingInfo":30},"COHORT","PROSPECTIVE","The TAILLE study aims to prospectively validate the AI-algorithm, hypothesizing that it provides a more reliable estimate of height than self-reported height.","Patient with a scheduled appointment for an abdominal CT scan in the Radiology Department of CHUGA",[37],{"label":38,"type":30,"description":39,"interventionNames":30},"Automated and Reliable Estimation of Patient Height From CT Scan","Height and weight measured and collection of patient self-reported height and weight",[41],{"name":42,"affiliation":43,"role":44},"Cécile BETRY, Professor","Unuversity Hospital CHU Grenoble Alpes","PRINCIPAL_INVESTIGATOR",[46,51],{"name":42,"role":47,"phone":48,"phoneExt":49,"email":50},"CONTACT","4 76 76 55 09","+33","cbetry@chu-grenoble.fr",{"name":52,"role":47,"phone":30,"phoneExt":30,"email":53},"Béatrice GENOUX","bgenoux@chu-grenoble.fr",[55],{"facility":56,"status":30,"city":57,"state":30,"zip":58,"country":59,"countryCode":60,"cosmosGeoPoint":61,"geoPoint":66,"contacts":67},"University Hospital CHU Grenoble Alpes","Grenoble","38043","France","FR",{"type":62,"coordinates":63},"Point",[64,65],5.71479,45.17869,{"lat":65,"lon":64},[68,70,71],{"name":52,"role":47,"phone":69,"phoneExt":30,"email":53},"+33 7 77 72 91 32",{"name":42,"role":44,"phone":30,"phoneExt":30,"email":30},{"name":72,"role":73,"phone":30,"phoneExt":30,"email":30},"Julien GHELFI, Professor","SUB_INVESTIGATOR",{"type":75,"investigatorFullName":30,"investigatorTitle":30,"investigatorAffiliation":30,"oldNameTitle":30,"oldOrganization":30},"SPONSOR","100659565","automated-and-reliable-estimation-of-patient-height-from-ct-scan-using-an-artificial-intelligence-algorithm-100659565",false,"NCT07864857","Automated and Reliable Estimation of Patient Height From CT Scan Using an Artificial Intelligence Algorithm","Automated and Reliable Estimation of Patient Height From CT Scan Using an Artificial Intelligence Algorithm - Automated Height Estimation by Artificial Intelligence","TAILLE","Inclusion Criteria:\n\n* Patient with a scheduled appointment for an abdominal CT scan in the Radiology Department of CHUGA\n* Patient able to stand for height measurement\n* Patient who does not object to participating in the study\n* Patient affiliated with a social security\n\nExclusion Criteria:\n\n* Patient with amputation of at least one limb\n* Patient with metallic hardware in the spine (artifact)\n* Protected person referred to in Articles L1121-5 to L1121-8 of the Code of Public Health","ALL","18 Years",{"count":87,"type":88},200,"ESTIMATED","1 Day","OBSERVATIONAL","The TAILLE study is a single-center, non-interventional (RIPH3), uncontrolled, non-randomized, open-label study.prospective study conducted at CHU Grenoble Alpes.\n\nThe goal is to evaluate the reliability of an AI algorithm developed as part of the TAILLE-pilot study to estimate height from abdominal CT scan data and relevant clinical data like age and gender.\n\nThe TAILLE-pilot study , is a pilot data study (RNIPH) aimed at developing artificial intelligence algorithms using a retrospective cohort, developed by our team. It is based on AI algorithms trained to predict height from abdominal CT scan volumes.\n\nThe TAILLE study therefore aims to prospectively evaluate the performance of this algorithm in a new cohort of adult patients scheduled for an abdominal CT scan. We hypothesize that height can be reliably estimated using this algorithm, potentially with greater accuracy at the individual level than self-reported height, the limitations of which have been documented in the literature.\n\nAs part of the TAILLE study, we will compare three methods of height estimation or measurement :\n\n* CRA-measured height: height measured by a Clinical Research Associate (CRA), serving as the reference method;\n* AI-estimated height: height estimated by the AI algorithm developed as part of the TAILLE-pilot study;\n* Self-reported height: height reported by the patient.",[93],"Patient With an Appointment for an Abdominal CT Scan and Able to Stand up for Height Measurement",[95,96,97,98],"AI algorithm","Height estimation","sarcopenia","malnutrition","NOT_YET_RECRUITING","2026-10-02",{"date":102,"type":103},"2026-10-08","ACTUAL",{"date":105,"type":88},"2026-11-01",{"date":107,"type":88},"2027-12-31",{"name":5,"class":6},1]