{"id":"https://openalex.org/W3008768347","doi":"https://doi.org/10.1117/12.2550764","title":"Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma","display_name":"Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3008768347","doi":"https://doi.org/10.1117/12.2550764","mag":"3008768347"},"language":"en","primary_location":{"id":"doi:10.1117/12.2550764","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2550764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.odu.edu/ece_fac_pubs/284","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078279440","display_name":"Zeina A. Shboul","orcid":"https://orcid.org/0000-0002-1277-4041"},"institutions":[{"id":"https://openalex.org/I4210138378","display_name":"Dominion (United States)","ror":"https://ror.org/038q98v71","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138378"]},{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zeina A. Shboul","raw_affiliation_strings":["Old Dominion Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Old Dominion Univ. (United States)","institution_ids":["https://openalex.org/I4210138378","https://openalex.org/I81365321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081863591","display_name":"Khan M. Iftekharuddin","orcid":"https://orcid.org/0000-0001-8316-4163"},"institutions":[{"id":"https://openalex.org/I4210138378","display_name":"Dominion (United States)","ror":"https://ror.org/038q98v71","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138378"]},{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khan M. Iftekharuddin","raw_affiliation_strings":["Old Dominion Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Old Dominion Univ. (United States)","institution_ids":["https://openalex.org/I4210138378","https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078279440"],"corresponding_institution_ids":["https://openalex.org/I4210138378","https://openalex.org/I81365321"],"apc_list":null,"apc_paid":null,"fwci":0.1115,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47281229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"33"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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":0.9639000296592712,"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/radiomics","display_name":"Radiomics","score":0.7909626960754395},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.6637457609176636},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.5897597074508667},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.45221179723739624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4037957489490509},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2588423192501068},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2473652958869934},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.23348936438560486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19576910138130188},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.18178701400756836},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.14544349908828735},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13623932003974915}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.7909626960754395},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.6637457609176636},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.5897597074508667},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.45221179723739624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4037957489490509},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2588423192501068},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2473652958869934},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.23348936438560486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19576910138130188},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.18178701400756836},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.14544349908828735},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13623932003974915}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2550764","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2550764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.odu.edu:ece_fac_pubs-1292","is_oa":true,"landing_page_url":"https://digitalcommons.odu.edu/ece_fac_pubs/284","pdf_url":"https://digitalcommons.odu.edu/ece_fac_pubs/284","source":{"id":"https://openalex.org/S4377196314","display_name":"ODU Digital Commons (Old Dominion University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I81365321","host_organization_name":"Old Dominion University","host_organization_lineage":["https://openalex.org/I81365321"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical &amp; Computer Engineering Faculty Publications","raw_type":"conference"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.odu.edu:ece_fac_pubs-1292","is_oa":true,"landing_page_url":"https://digitalcommons.odu.edu/ece_fac_pubs/284","pdf_url":"https://digitalcommons.odu.edu/ece_fac_pubs/284","source":{"id":"https://openalex.org/S4377196314","display_name":"ODU Digital Commons (Old Dominion University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I81365321","host_organization_name":"Old Dominion University","host_organization_lineage":["https://openalex.org/I81365321"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical &amp; Computer Engineering Faculty Publications","raw_type":"conference"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3008768347.pdf","grobid_xml":"https://content.openalex.org/works/W3008768347.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W2053972265"],"abstract_inverted_index":{"An":[0],"updated":[1],"classification":[2,44,163],"of":[3,16,18,81,113,181,202,212,219,226],"diffuse":[4],"lower-grade":[5],"gliomas":[6],"is":[7,67,89,128,140,165,185],"established":[8],"in":[9,157],"the":[10,19,86,111,114,144,149,153,158,178,182,188],"2016":[11],"World":[12],"Health":[13],"Organization":[14],"Classification":[15],"Tumors":[17],"Central":[20],"Nervous":[21],"System":[22],"based":[23,109],"on":[24,110],"their":[25],"molecular":[26],"mutations":[27],"such":[28],"as":[29],"TP53":[30,39,103,151,155],"mutation.":[31],"This":[32,76],"study":[33,77],"investigates":[34],"machine":[35],"learning":[36],"methods":[37],"for":[38,224],"mutation":[40,104],"status":[41],"prediction":[42,105,225],"and":[43,47,56,97,121,170,196,205,217],"using":[45,73,130,167,172,187],"radiomics":[46,215,220],"genomics":[48,136,222],"features,":[49],"respectively.":[50,124,207],"Radiomics":[51,125],"features":[52,58,216,223],"represent":[53],"patients'":[54],"age":[55],"imaging":[57],"that":[59],"are":[60,107],"extracted":[61],"from":[62],"conventional":[63],"MRI.":[64],"Genomics":[65],"feature":[66,126,132],"represented":[68],"by":[69],"patients\u2019":[70],"gene":[71],"expression":[72],"RNA":[74],"sequencing.":[75],"uses":[78],"a":[79,92,199],"total":[80],"105":[82],"LGG":[83],"patients,":[84],"where":[85],"patient":[87],"dataset":[88],"divided":[90],"into":[91],"training":[93,115,159,162],"set":[94,99],"(80":[95],"patients)":[96],"testing":[98,189],"(25":[100],"patients).":[101],"Three":[102],"models":[106,184],"constructed":[108,166],"source":[112],"features;":[116],"TP53-radiomics":[117],"model,":[118,120,123],"TP53-genomics":[119],"TP53-radiogenomics":[122],"selection":[127,133],"performed":[129],"recursive":[131],"method.":[134],"For":[135],"data,":[137],"EdgeR":[138],"method":[139],"utilized":[141],"to":[142],"select":[143],"differentially":[145],"expressed":[146],"genes":[147],"between":[148],"mutated":[150],"versus":[152],"non-mutated":[154],"cases":[156],"set.":[160,190],"The":[161,191],"model":[164],"Random":[168],"Forest":[169],"cross-validated":[171],"repeated":[173],"10-fold":[174],"cross":[175],"validation.":[176],"Finally,":[177],"predictive":[179,200],"performance":[180],"three":[183,192],"assessed":[186],"models,":[193],"TP53-Radiomics,":[194],"TP53-RadioGenomics,":[195],"TP53-Genomics,":[197],"achieve":[198],"accuracy":[201],"0.84\u00b10.04,":[203],"0.92\u00b10.04,":[204],"0.89\u00b10.07,":[206],"These":[208],"results":[209],"show":[210],"promise":[211],"non-invasive":[213],"MRI":[214],"fusion":[218],"with":[221],"TP53.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
