{"id":"https://openalex.org/W4301142108","doi":"https://doi.org/10.1109/tmi.2022.3202037","title":"Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks","display_name":"Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4301142108","doi":"https://doi.org/10.1109/tmi.2022.3202037","pmid":"https://pubmed.ncbi.nlm.nih.gov/36018877"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3202037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3202037","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5039271969","display_name":"Xiaofan Song","orcid":"https://orcid.org/0000-0002-3863-1831"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Song","raw_affiliation_strings":["School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3863-1831","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434730","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-4566-9536"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4566-9536","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063759279","display_name":"Xiaohua Qian","orcid":"https://orcid.org/0000-0002-6548-6801"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaohua Qian","raw_affiliation_strings":["School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China","Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA"],"raw_orcid":"https://orcid.org/0000-0002-6548-6801","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA","institution_ids":["https://openalex.org/I47251452"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1925,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92312003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"42","issue":"2","first_page":"380","last_page":"390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/glioblastoma","display_name":"Glioblastoma","score":0.8559866547584534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642687082290649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5319609642028809},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5056154727935791},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49575290083885193},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2673872709274292},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16477984189987183},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.10004323720932007}],"concepts":[{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.8559866547584534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642687082290649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319609642028809},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5056154727935791},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49575290083885193},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2673872709274292},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16477984189987183},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.10004323720932007}],"mesh":[{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004058","descriptor_name":"Diffusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004058","descriptor_name":"Diffusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004058","descriptor_name":"Diffusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3202037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3202037","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:36018877","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36018877","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1472917294","display_name":null,"funder_award_id":"AH0820009","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G4543570484","display_name":null,"funder_award_id":"62171273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6237455306","display_name":null,"funder_award_id":"22ZR1432100","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G7270976214","display_name":null,"funder_award_id":"YG2022QN007","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1825675169","https://openalex.org/W2118311655","https://openalex.org/W2194775991","https://openalex.org/W2260531355","https://openalex.org/W2529567133","https://openalex.org/W2594652617","https://openalex.org/W2594893939","https://openalex.org/W2597394795","https://openalex.org/W2602631755","https://openalex.org/W2604384166","https://openalex.org/W2752782242","https://openalex.org/W2774485703","https://openalex.org/W2806489700","https://openalex.org/W2883998302","https://openalex.org/W2884585870","https://openalex.org/W2886789853","https://openalex.org/W2887482411","https://openalex.org/W2899014593","https://openalex.org/W2903061646","https://openalex.org/W2914959431","https://openalex.org/W2957352479","https://openalex.org/W2962824341","https://openalex.org/W2962858109","https://openalex.org/W2962895018","https://openalex.org/W2963446712","https://openalex.org/W2979583482","https://openalex.org/W2984323660","https://openalex.org/W2998257661","https://openalex.org/W3004531689","https://openalex.org/W3033315013","https://openalex.org/W3052833403","https://openalex.org/W3099805905","https://openalex.org/W3107671077","https://openalex.org/W3108356711","https://openalex.org/W3128224992","https://openalex.org/W3129139222","https://openalex.org/W3137942329","https://openalex.org/W4210541032","https://openalex.org/W4210870577","https://openalex.org/W4226070402","https://openalex.org/W4293412117","https://openalex.org/W4297749952","https://openalex.org/W6638389677","https://openalex.org/W6733862737","https://openalex.org/W6734614811","https://openalex.org/W6734752668","https://openalex.org/W6735381419","https://openalex.org/W6735782011","https://openalex.org/W6745952019","https://openalex.org/W6746260573","https://openalex.org/W6767288045","https://openalex.org/W6792029430"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W1602805286","https://openalex.org/W4225917631","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2088686453","https://openalex.org/W4200635075","https://openalex.org/W2954466210"],"abstract_inverted_index":{"Glioblastoma":[0],"multiforme":[1],"(GBM)":[2],"is":[3,32,47,68,140],"the":[4,71,76,128,145,170,188,200,214],"most":[5],"common":[6],"type":[7],"of":[8,27,61,148,172,206,216],"brain":[9],"tumors":[10],"with":[11,96,122,231],"high":[12,25,42,77],"recurrence":[13],"and":[14,75,104,151,192,234],"mortality":[15],"rates.":[16],"After":[17],"chemotherapy":[18],"treatment,":[19],"GBM":[20],"patients":[21],"still":[22],"show":[23],"a":[24,109,135,224],"rate":[26],"differentiating":[28,56],"pseudoprogression":[29],"(PsP),":[30],"which":[31],"often":[33],"confused":[34],"as":[35],"true":[36],"tumor":[37],"progression":[38],"(TTP)":[39],"due":[40],"to":[41,49,99,113,142,168,199],"phenotypical":[43],"similarities.":[44],"Thus,":[45],"it":[46],"crucial":[48],"construct":[50],"an":[51,89],"automated":[52],"diagnosis":[53,215],"model":[54,180],"for":[55,79,144,229],"between":[57,102],"these":[58],"two":[59],"types":[60],"glioma":[62,217],"progression.":[63,218],"However,":[64],"attaining":[65],"this":[66,85],"goal":[67],"impeded":[69],"by":[70],"limited":[72],"data":[73,232],"availability":[74],"demand":[78],"interpretability":[80,181],"in":[81,213],"clinical":[82],"settings.":[83],"In":[84,219],"work,":[86],"we":[87],"propose":[88],"interpretable":[90,211],"structure-constrained":[91],"graph":[92,116,159,166,193],"neural":[93],"network":[94,107],"(ISGNN)":[95],"enhanced":[97,185],"features":[98,150,191],"automatically":[100],"discriminate":[101],"PsP":[103],"TTP.":[105],"This":[106],"employs":[108],"metric-based":[110],"meta-learning":[111],"strategy":[112],"aggregate":[114],"class-specific":[115],"nodes,":[117],"focus":[118],"on":[119,131,187],"meta-tasks":[120],"associated":[121],"various":[123],"small":[124],"graphs,":[125],"thus":[126],"improving":[127],"classification":[129,201],"performance":[130],"small-scale":[132],"datasets.":[133],"Specifically,":[134],"node":[136,149,190],"feature":[137],"enhancement":[138],"module":[139,162],"proposed":[141],"account":[143],"relative":[146],"importance":[147],"enhance":[152],"their":[153],"distinguishability":[154],"through":[155],"inductive":[156],"learning.":[157],"A":[158],"generation":[160],"constraint":[161],"enables":[163],"learning":[164],"reasonable":[165],"structures":[167,194],"improve":[169],"efficiency":[171],"information":[173],"diffusion":[174],"while":[175],"avoiding":[176],"propagation":[177],"errors.":[178],"Furthermore,":[179],"can":[182],"be":[183,242],"naturally":[184],"based":[186],"learned":[189],"that":[195],"are":[196],"closely":[197],"related":[198],"results.":[202],"Comprehensive":[203],"experimental":[204],"evaluation":[205],"our":[207,221],"method":[208],"demonstrated":[209],"excellent":[210],"results":[212],"general,":[220],"work":[222],"provides":[223],"novel":[225],"systematic":[226],"GNN":[227],"approach":[228],"dealing":[230],"scarcity":[233],"enhancing":[235],"decision":[236],"interpretability.":[237],"Our":[238],"source":[239],"codes":[240],"will":[241],"released":[243],"at":[244],"https://github.com/SJTUBME-QianLab/GBM-GNN.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
