{"id":166740,"date":"2025-01-20T16:39:33","date_gmt":"2025-01-20T15:39:33","guid":{"rendered":"https:\/\/stratec-med.com\/literatur\/adaptation-and-validation-of-an-artificial-intelligence-based-digital-radiogrammetry-tool-for-assessing-bone-health-of-indian-children-and-youth-with-type-1-diabetes-2\/"},"modified":"2025-01-20T16:39:33","modified_gmt":"2025-01-20T15:39:33","slug":"adaptation-and-validation-of-an-artificial-intelligence-based-digital-radiogrammetry-tool-for-assessing-bone-health-of-indian-children-and-youth-with-type-1-diabetes-2","status":"publish","type":"literatur","link":"https:\/\/stratec-med.com\/en\/literature\/adaptation-and-validation-of-an-artificial-intelligence-based-digital-radiogrammetry-tool-for-assessing-bone-health-of-indian-children-and-youth-with-type-1-diabetes-2\/","title":{"rendered":"Adaptation and validation of an artificial intelligence based digital  radiogrammetry tool for assessing bone health of indian children and youth with  type-1 diabetes."},"content":{"rendered":"<p>BACKGROUND AND OBJECTIVES: BoneXpert (BX) is an artificial intelligence software  used primarily for bone age assessment. Besides, it can also be used to screen  for bone health using the digital radiogrammetry tool called bone health index  (BHI) for which normative reference values available are calculated from healthy  European children. Due to ethnic difference in bone geometry, in a previous  study, we generated reference curves based on healthy Indian children. The  objectives of this study were: 1) To assess and compare bone health of Indian  children with Type 1 diabetes (T1D) using both European and Indian BHI SDS  reference data and 2) To identify determinants of poor bone health in Indian  children and youth with T1D by using BHI tool (based on BHI-SDS Indian reference  data) of BX. METHOD: The BHI was assessed retrospectively in 1159 subjects with  T1D using digitalised left-hand x-rays and SDS were computed using European and  Indian data. The demographic, anthropometric, clinical, biochemistry, dual x-ray  absorptiometry (DXA) data and peripheral quantitative computed tomography (pQCT)  data collection were performed using standard protocols and were extracted from  hospital records. RESULTS: The BHI correlated well with DXA and pQCT parameters  in subjects with T1D. BHI-SDS calculated using Indian reference data had better  correlation with height and DXA parameters. 8.6% study participants had low (less  than -2) BHI-SDS (Indian), with height SDS having significant effect. Subjects  with low BHI-SDS were older, shorter and had higher duration of diabetes. They  also had lower IGF1 and vitamin D concentrations, bone mineral density, and  trabecular density. Female gender, increased duration of illness, poor glycaemic  control, and vitamin D deficiency\/insufficiency were significant predictors of  poor BHI-SDS. CONCLUSION: Our study highlights the utility of digital  radiogrammetry AI tool to screen for bone health of children with T1D and  demonstrates and highlights the necessity of interpretation using ethnicity  specific normative data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>BACKGROUND AND OBJECTIVES: BoneXpert (BX) is an artificial intelligence software used primarily for bone age assessment. Besides, it can also<\/p>\n","protected":false},"author":22,"parent":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false},"tags":[],"thema":[5944,5924,5866,5862],"produktgruppe":[5825],"literatur_kategorie":[7221],"class_list":["post-166740","literatur","type-literatur","status-publish","format-standard","hentry","thema-clinical-application-en","thema-clinical-studies","thema-diagnostics-using-leonardo-pqct","thema-pqct-en","produktgruppe-pqct-en","literatur_kategorie-clinical-studies"],"acf":[],"_links":{"self":[{"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/literatur\/166740","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/literatur"}],"about":[{"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/types\/literatur"}],"author":[{"embeddable":true,"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/users\/22"}],"version-history":[{"count":0,"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/literatur\/166740\/revisions"}],"wp:attachment":[{"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/media?parent=166740"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/tags?post=166740"},{"taxonomy":"thema","embeddable":true,"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/thema?post=166740"},{"taxonomy":"produktgruppe","embeddable":true,"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/produktgruppe?post=166740"},{"taxonomy":"literatur_kategorie","embeddable":true,"href":"https:\/\/stratec-med.com\/en\/wp-json\/wp\/v2\/literatur_kategorie?post=166740"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}