{"id":"https://openalex.org/W4221095488","doi":"https://doi.org/10.1117/12.2613114","title":"Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI","display_name":"Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4221095488","doi":"https://doi.org/10.1117/12.2613114"},"language":"en","primary_location":{"id":"doi:10.1117/12.2613114","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2613114","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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/A5079874382","display_name":"M. S. Sadique","orcid":"https://orcid.org/0000-0002-6734-6802"},"institutions":[{"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"]},{"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Shibly Sadique","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":"middle","author":{"id":"https://openalex.org/A5090781858","display_name":"Ahmed Temtam","orcid":null},"institutions":[{"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"]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Temtam","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":"middle","author":{"id":"https://openalex.org/A5066922764","display_name":"Erik S. Lappinen","orcid":null},"institutions":[{"id":"https://openalex.org/I156802259","display_name":"Eastern Virginia Medical School","ror":"https://ror.org/056hr4255","country_code":"US","type":"education","lineage":["https://openalex.org/I156802259"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik S. Lappinen","raw_affiliation_strings":["Eastern Virginia Medical School (United States)"],"affiliations":[{"raw_affiliation_string":"Eastern Virginia Medical School (United States)","institution_ids":["https://openalex.org/I156802259"]}]},{"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/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]},{"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"]}],"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":4,"corresponding_author_ids":["https://openalex.org/A5079874382"],"corresponding_institution_ids":["https://openalex.org/I4210138378","https://openalex.org/I81365321"],"apc_list":null,"apc_paid":null,"fwci":1.1169,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80422093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10950","issue":null,"first_page":"115","last_page":"115"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.7367547750473022},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6653697490692139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660210907459259},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6447864770889282},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.59076327085495},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5508607625961304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45461001992225647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4442600607872009},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.4385491907596588},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.38550230860710144},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3655945062637329},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3356519341468811}],"concepts":[{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.7367547750473022},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6653697490692139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660210907459259},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6447864770889282},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.59076327085495},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5508607625961304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45461001992225647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4442600607872009},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4385491907596588},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.38550230860710144},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3655945062637329},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3356519341468811},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2613114","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2613114","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.odu.edu:ece_fac_pubs-1338","is_oa":false,"landing_page_url":"https://digitalcommons.odu.edu/ece_fac_pubs/329","pdf_url":null,"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":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W105789204","https://openalex.org/W2028494674","https://openalex.org/W2044813956","https://openalex.org/W2053745309","https://openalex.org/W2083927153","https://openalex.org/W2099698084","https://openalex.org/W2111004765","https://openalex.org/W2128739912","https://openalex.org/W2151794458","https://openalex.org/W2366536035","https://openalex.org/W2551060856","https://openalex.org/W2791155980","https://openalex.org/W2802561340","https://openalex.org/W2994973210","https://openalex.org/W3013377280","https://openalex.org/W3128796935","https://openalex.org/W3194105938","https://openalex.org/W4242508763","https://openalex.org/W4244955044","https://openalex.org/W4248973632","https://openalex.org/W6604250481","https://openalex.org/W6634400548","https://openalex.org/W6745618457","https://openalex.org/W6760479727","https://openalex.org/W6787073044","https://openalex.org/W6902947513","https://openalex.org/W6921637467","https://openalex.org/W6977648119"],"related_works":["https://openalex.org/W2397888002","https://openalex.org/W2356247871","https://openalex.org/W2373716292","https://openalex.org/W2381429000","https://openalex.org/W2364564193","https://openalex.org/W2393352769","https://openalex.org/W2131742827","https://openalex.org/W4389341328","https://openalex.org/W4309923383","https://openalex.org/W2408873457"],"abstract_inverted_index":{"Despite":[0],"multimodal":[1,120],"aggressive":[2],"treatment":[3],"with":[4,168,199],"chemo-radiation-therapy,":[5],"and":[6,28,91,134,141,195,215,249],"surgical":[7],"resection,":[8],"Glioblastoma":[9],"Multiforme":[10],"(GBM)":[11],"may":[12,243],"recur":[13],"which":[14,52],"is":[15,41,66,189],"known":[16],"as":[17,137,139],"recurrent":[18],"brain":[19,80],"tumor":[20],"(rBT),":[21],"There":[22,65],"are":[23,53,112,144,149],"several":[24],"instances":[25],"where":[26],"benign":[27,47],"malignant":[29],"pathologies":[30],"might":[31],"appear":[32],"very":[33],"similar":[34],"on":[35,59,77,119],"radiographic":[36],"imaging.":[37],"One":[38],"such":[39],"illustration":[40],"radiation":[42,50],"necrosis":[43],"(RN)":[44],"(a":[45],"moderately":[46],"impact":[48],"of":[49,72,165,209,229],"treatment)":[51],"visually":[54],"almost":[55],"indistinguishable":[56],"from":[57,103,117,160,162,231],"rBT":[58,102,116,159,230,248],"structural":[60,135],"magnetic":[61],"resonance":[62],"imaging":[63,170],"(MRI).":[64],"hence":[67],"a":[68,152,200],"need":[69],"for":[70,122,172,213,219,227],"identification":[71],"reliable":[73],"non-invasive":[74],"quantitative":[75],"measurements":[76],"routinely":[78],"acquired":[79],"MRI":[81,121,167,252],"scans:":[82],"pre-contrast":[83],"T1-weighted":[84,87],"(T1),":[85],"post-contrast":[86],"(T1Gd),":[88],"T2-weighted":[89],"(T2),":[90],"T2":[92],"Fluid":[93],"Attenuated":[94],"Inversion":[95],"Recovery":[96],"(FLAIR)":[97],"that":[98,130,239],"can":[99],"accurately":[100],"distinguish":[101,115],"RN.":[104],"In":[105],"this":[106,234],"work,":[107],"sophisticated":[108,240],"radiomic":[109,128],"texture":[110,225,241],"features":[111,143,148,226],"used":[113,150],"to":[114,156,254],"RN":[118,161,232,250],"disease":[123],"characterization.":[124],"First,":[125],"stochastic":[126],"multiresolution":[127,224],"descriptor":[129],"captures":[131],"voxel-level":[132],"textural":[133],"heterogeneity":[136],"well":[138],"intensity":[140],"histogram":[142],"extracted.":[145],"Subsequently,":[146],"these":[147],"in":[151,184,233,251,257],"machine":[153],"learning":[154],"setting":[155],"characterize":[157],"the":[158,166,182,258],"four":[163],"sequences":[164],"155":[169],"slices":[171],"30":[173],"GBM":[174],"cases":[175],"(12":[176],"RN,":[177],"18":[178],"rBT).":[179],"To":[180],"reduce":[181],"bias":[183],"accuracy":[185,208],"estimation":[186],"our":[187],"model":[188,205],"implemented":[190],"using":[191,223],"Leave-one-out":[192],"crossvalidation":[193],"(LOOCV)":[194],"stratified":[196,220],"5-fold":[197,221],"cross-validation":[198,222],"Random":[201],"Forest":[202],"classifier.":[203],"Our":[204,236],"offers":[206],"mean":[207],"0.967":[210],"&plusmn;":[211,217],"0.180":[212],"LOOCV":[214],"0.933":[216],"0.082":[218],"discrimination":[228,246],"study.":[235],"findings":[237],"suggest":[238],"feature":[242],"offer":[244],"better":[245],"between":[247],"compared":[253],"other":[255],"works":[256],"literature.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
