{"id":"https://openalex.org/W2920539564","doi":"https://doi.org/10.1117/12.2512603","title":"Development of methods to evaluate probability of reviewer\u2019s assessment bias in blinded independent central review (BICR) imaging studies","display_name":"Development of methods to evaluate probability of reviewer\u2019s assessment bias in blinded independent central review (BICR) imaging studies","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2920539564","doi":"https://doi.org/10.1117/12.2512603","mag":"2920539564"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512603","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"},"type":"article","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/A5009830713","display_name":"Anitha Singareddy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107824","display_name":"PAREXEL International (India)","ror":"https://ror.org/01qtea582","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210107824","https://openalex.org/I4210124468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anitha Singareddy","raw_affiliation_strings":["PAREXEL International Corp. (India)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PAREXEL International Corp. (India)","institution_ids":["https://openalex.org/I4210107824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112712552","display_name":"J. Michael O\u2019Connor","orcid":"https://orcid.org/0009-0000-5066-0478"},"institutions":[{"id":"https://openalex.org/I4210124468","display_name":"PAREXEL International (United States)","ror":"https://ror.org/02vkbzw76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210124468"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Michael O'Connor","raw_affiliation_strings":["PAREXEL International Corp. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PAREXEL International Corp. (United States)","institution_ids":["https://openalex.org/I4210124468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101836399","display_name":"Manish Sharma","orcid":"https://orcid.org/0000-0002-6711-1552"},"institutions":[{"id":"https://openalex.org/I4210107824","display_name":"PAREXEL International (India)","ror":"https://ror.org/01qtea582","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210107824","https://openalex.org/I4210124468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Sharma","raw_affiliation_strings":["PAREXEL International Corp. (India)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PAREXEL International Corp. (India)","institution_ids":["https://openalex.org/I4210107824"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02508967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"24","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.998199999332428,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5253355503082275},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3487454056739807},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27364546060562134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253355503082275},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3487454056739807},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27364546060562134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512603","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1912693401","https://openalex.org/W2019607817","https://openalex.org/W2101073067","https://openalex.org/W2133201432","https://openalex.org/W2137591261","https://openalex.org/W2142099365","https://openalex.org/W2531161073","https://openalex.org/W2553512010","https://openalex.org/W2598002512","https://openalex.org/W2890445745","https://openalex.org/W2919875043","https://openalex.org/W3023812577","https://openalex.org/W4229687706"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Purpose:":[0],"To":[1],"develop":[2],"novel":[3],"monitoring":[4],"methods":[5,145,175],"in":[6,14],"Blinded":[7],"Independent":[8],"Central":[9],"Review":[10],"(BICR)":[11],"imaging":[12],"trials":[13],"which":[15,184],"two":[16,64],"radiologist":[17],"reviewers":[18,44],"assess":[19],"the":[20,40,73,86,108,133,174],"same":[21],"images.":[22],"In":[23],"this":[24],"project":[25],"we":[26,105,156,171],"aimed":[27],"to":[28,39,59,71,167,176],"\u2018flag\u2019":[29,148],"any":[30],"reviewer":[31,91,113],"that":[32,75,98,110],"might":[33,114],"have":[34,115,172],"an":[35,76],"assessment":[36,93,134,153],"bias":[37],"compared":[38],"assessments":[41,62],"of":[42,120,128],"other":[43,177],"on":[45,159],"a":[46,68,116,151],"specific":[47],"study.":[48],"Methods:":[49],"Retrospective":[50],"data":[51,135],"analysis":[52],"using":[53],"R":[54],"programming":[55],"scripts":[56],"was":[57],"used":[58],"evaluate":[60,168],"discordant":[61,92,103,126],"between":[63],"reviewers.":[65],"We":[66,96,130],"use":[67],"binomial":[69],"test":[70],"determine":[72],"probability":[74,109,119],"estimated":[77],"low":[78,121],"adjudication":[79,122],"agreement":[80,123],"rate":[81,88],"is":[82],"statistically":[83,117],"less":[84],"than":[85],"expected":[87],"for":[89,99,124,136],"all":[90],"pairs.":[94],"Results:":[95],"determined":[97],"five":[100],"or":[101,149],"more":[102],"cases":[104],"can":[106,147],"calculate":[107],"each":[111,125],"individual":[112],"significant":[118],"pair":[127],"assessments.":[129],"then":[131],"analyzed":[132],"sixteen":[137],"oncological":[138,178],"BICR":[139],"clinical":[140,164],"trials.":[141],"Conclusions:":[142],"The":[143],"basic":[144],"described":[146],"\u2018signal\u2019":[150],"potential":[152],"\u2018bias\u2019.":[154],"Although":[155],"initially":[157],"focused":[158],"studies":[160,179],"following":[161],"one":[162],"published":[163,182],"trial":[165],"criteria":[166,183],"solid":[169],"tumor":[170],"applied":[173],"with":[180],"different":[181],"also":[185],"may":[186],"require":[187],"double":[188],"radiological":[189],"reviews.":[190]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}