{"id":"https://openalex.org/W4389944589","doi":"https://doi.org/10.1161/circ.148.suppl_1.17881","title":"Abstract 17881: A Predictive Algorithm to Identify Late Gadolinium Enhancement Using Echocardiography","display_name":"Abstract 17881: A Predictive Algorithm to Identify Late Gadolinium Enhancement Using Echocardiography","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4389944589","doi":"https://doi.org/10.1161/circ.148.suppl_1.17881"},"language":"en","primary_location":{"id":"doi:10.1161/circ.148.suppl_1.17881","doi":"https://doi.org/10.1161/circ.148.suppl_1.17881","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1161/circ.148.suppl_1.17881","pdf_url":null,"source":{"id":"https://openalex.org/S116251202","display_name":"Circulation","issn_l":"0009-7322","issn":["0009-7322","1524-4539"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circulation","raw_type":"journal-article"},"volume":null,"type":"conference-abstract","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003517032","display_name":"Katharine Rainer","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katharine W Rainer","raw_affiliation_strings":["Dept of Medicine, Beth Israel Deaconess Med Cntr, Harvard Med Sch, Boston, MA","Katharine W Rainer Dept of Medicine, Beth Israel Deaconess Med Cntr, Harvard Med Sch, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Medicine, Beth Israel Deaconess Med Cntr, Harvard Med Sch, Boston, MA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Katharine W Rainer Dept of Medicine, Beth Israel Deaconess Med Cntr, Harvard Med Sch, Boston, MA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021251913","display_name":"Reza Nezafat","orcid":"https://orcid.org/0000-0002-1963-7138","observed_orcids":["https://orcid.org/0000-0002-1963-7138"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reza Nezafat","raw_affiliation_strings":["Boston, MA","Reza Nezafat Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston, MA","institution_ids":[]},{"raw_affiliation_string":"Reza Nezafat Boston, MA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085159751","display_name":"Connie W. Tsao","orcid":"https://orcid.org/0000-0003-3104-0681","observed_orcids":["https://orcid.org/0000-0003-3104-0681"]},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connie W Tsao","raw_affiliation_strings":["Beth Israel Deaconess Med Ctr, Boston, MA","Connie W Tsao Beth Israel Deaconess Med Ctr, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Med Ctr, Boston, MA","institution_ids":["https://openalex.org/I1316535847"]},{"raw_affiliation_string":"Connie W Tsao Beth Israel Deaconess Med Ctr, Boston, MA","institution_ids":["https://openalex.org/I1316535847"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002689169","display_name":"Jordan B. Strom","orcid":"https://orcid.org/0000-0002-6592-6141","observed_orcids":["https://orcid.org/0000-0002-6592-6141"]},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan B Strom","raw_affiliation_strings":["Beth Israel Deaconess Med Cntr, Milton, MA","Jordan B Strom Beth Israel Deaconess Med Cntr, Milton, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Med Cntr, Milton, MA","institution_ids":["https://openalex.org/I1316535847"]},{"raw_affiliation_string":"Jordan B Strom Beth Israel Deaconess Med Cntr, Milton, MA","institution_ids":["https://openalex.org/I1316535847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"148","issue":"Suppl_1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.5526999831199646,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.5526999831199646,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.25850000977516174,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10882","display_name":"Cardiomyopathy and Myosin Studies","score":0.08500000089406967,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/late-gadolinium-enhancement","display_name":"late gadolinium enhancement","score":1.0},{"id":"https://openalex.org/keywords/myocardial-fibrosis","display_name":"myocardial fibrosis","score":0.6579999923706055},{"id":"https://openalex.org/keywords/echocardiography","display_name":"echocardiography","score":0.8169999718666077},{"id":"https://openalex.org/keywords/cardiac-mri","display_name":"cardiac MRI","score":0.5659999847412109},{"id":"https://openalex.org/keywords/machine-learning-prediction","display_name":"machine learning prediction","score":0.6769999861717224},{"id":"https://openalex.org/keywords/left-ventricular-size","display_name":"left ventricular dimensions","score":0.7120000123977661},{"id":"https://openalex.org/keywords/arrhythmia-risk","display_name":"arrhythmia risk","score":0.8519999980926514}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.9311784505844116},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.5760440826416016},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.5360410809516907},{"id":"https://openalex.org/C76318530","wikidata":"https://www.wikidata.org/wiki/Q16833590","display_name":"Area under the curve","level":2,"score":0.5157802104949951},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.49217644333839417},{"id":"https://openalex.org/C3020225094","wikidata":"https://www.wikidata.org/wiki/Q80091","display_name":"Area under curve","level":3,"score":0.47064560651779175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41949814558029175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.0},{"id":"https://openalex.org/C112705442","wikidata":"https://www.wikidata.org/wiki/Q323936","display_name":"Pharmacokinetics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1161/circ.148.suppl_1.17881","doi":"https://doi.org/10.1161/circ.148.suppl_1.17881","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1161/circ.148.suppl_1.17881","pdf_url":null,"source":{"id":"https://openalex.org/S116251202","display_name":"Circulation","issn_l":"0009-7322","issn":["0009-7322","1524-4539"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circulation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.98580002784729,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4405528954","https://openalex.org/W4403369596","https://openalex.org/W3148807933","https://openalex.org/W3032712587","https://openalex.org/W4410878371","https://openalex.org/W4389957827","https://openalex.org/W6981133846","https://openalex.org/W4402428588","https://openalex.org/W4287639266","https://openalex.org/W4403819209"],"abstract_inverted_index":{"Background:":[0],"Late":[1],"gadolinium":[2],"enhancement":[3],"(LGE)":[4],"on":[5,50,96,253],"cardiac":[6],"MRI":[7],"(CMR)":[8],"correlates":[9],"with":[10,65,256],"fibrosis":[11],"and":[12,32,43,67,78,100,156,160,189,224,259],"arrhythmic":[13],"risk,":[14],"but":[15],"cannot":[16],"be":[17],"used":[18,108],"in":[19,235,263],"several":[20,80],"clinical":[21,42],"settings":[22],"compared":[23],"the":[24,119,140,148,151,229,236,274],"availability":[25],"of":[26,115,121,158,165,171,232,270,277],"echocardiography":[27,44],"(TTE).":[28],"Aim:":[29],"To":[30],"develop":[31],"evaluate":[33],"a":[34,131,154,244],"machine":[35],"learning":[36],"(ML)":[37],"model":[38],"that":[39],"uses":[40],"standard":[41],"(TTE)":[45],"variables":[46],"to":[47,93,193],"identify":[48,94],"LGE":[49,95,122,208,214,233,252,280],"paired":[51,254],"CMR.":[52],"Methods:":[53],"Amongst":[54],"725":[55],"patients":[56],"(mean":[57],"age":[58,99],"56.9":[59],"\u00b1":[60],"16.5":[61],"years,":[62],"40.3%":[63],"female)":[64],"TTE":[66,102,249,278],"CMR":[68,97,255],"within":[69],"3":[70],"months":[71],"at":[72],"our":[73],"institution,":[74],"2018-2023,":[75],"we":[76],"derived":[77],"tested":[79,129],"ML":[81,271],"models":[82],"(recursive":[83],"partitioning,":[84],"random":[85],"forest,":[86],"boosted":[87,132,245],"tree,":[88],"neural":[89,133,246],"networks,":[90],"LASSO/Elastic":[91],"Net)":[92],"using":[98,248],"24":[101],"features.":[103],"Ten-fold":[104],"cross":[105],"validation":[106,149],"was":[107,190,204],"for":[109,162,206,272,279],"internal":[110],"validation.":[111],"Results:":[112],"A":[113],"total":[114],"165":[116],"(23%)":[117],"had":[118,153],"presence":[120,164,234],"(40%":[123],"ischemic,":[124],"60%":[125],"nonischemic":[126,213],"pattern).":[127],"Of":[128],"models,":[130],"network":[134,247],"performed":[135],"best":[136],"(validation":[137],"area":[138],"under":[139],"curve":[141],"[AUC]":[142],"=":[143,198,201,210,216],"0.98;":[144],"Figure":[145],").":[146],"In":[147,239],"cohort,":[150],"algorithm":[152],"sensitivity":[155,258],"specificity":[157],"93.8%":[159],"94.6%":[161],"identifying":[163],"LGE.":[166],"Accuracy":[167,203],"remained":[168],"high":[169,257],"regardless":[170],"gender":[172],"(M":[173],"vs.":[174,178,183,187],"F,":[175],"AUC,":[176,185],"0.987":[177,186],"0.988)":[179],"or":[180],"race":[181],"(blacks":[182],"whites,":[184],"0.984)":[188],"not":[191],"related":[192],"time":[194],"between":[195],"studies":[196],"(r":[197],"-0.06,":[199],"p":[200],"0.09).":[202],"better":[205],"ischemic":[207],"(AUC":[209,215],"0.94)":[211],"than":[212],"0.90).":[217],"Left":[218],"ventricular":[219],"size,":[220],"age,":[221],"fractional":[222],"shortening,":[223],"wall":[225],"thickness,":[226],"were":[227],"amongst":[228],"top":[230],"predictors":[231],"model.":[237],"Conclusions:":[238],"this":[240,266],"single":[241],"center":[242],"study,":[243],"features":[250],"identified":[251],"specificity.":[260],"If":[261],"confirmed":[262],"external":[264],"data,":[265],"suggests":[267],"possible":[268],"utility":[269],"improving":[273],"diagnostic":[275],"value":[276],"assessment.":[281]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2023-12-20T00:00:00"}
