{"id":"https://openalex.org/W7135073046","doi":"https://doi.org/10.1016/j.compmedimag.2026.102752","title":"Mask-aware foundational-model embeddings for 18F-FDG-PET/CT prognosis in multiple myeloma","display_name":"Mask-aware foundational-model embeddings for 18F-FDG-PET/CT prognosis in multiple myeloma","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135073046","doi":"https://doi.org/10.1016/j.compmedimag.2026.102752","pmid":"https://pubmed.ncbi.nlm.nih.gov/41825283"},"language":"en","primary_location":{"id":"doi:10.1016/j.compmedimag.2026.102752","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compmedimag.2026.102752","pdf_url":null,"source":{"id":"https://openalex.org/S198823948","display_name":"Computerized Medical Imaging and Graphics","issn_l":"0895-6111","issn":["0895-6111","1879-0771"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computerized Medical Imaging and Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compmedimag.2026.102752","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128906249","display_name":"Javier Guinea-P\u00e9rez","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Guinea-P\u00e9rez","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Avenida Complutense, 30, Madrid, 28040, Madrid, Spain. Electronic address: javier.guinea.perez@upm.es"],"raw_orcid":"https://orcid.org/0009-0006-6656-5612","affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Avenida Complutense, 30, Madrid, 28040, Madrid, Spain. Electronic address: javier.guinea.perez@upm.es","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014814792","display_name":"Silvia Uribe","orcid":"https://orcid.org/0000-0001-6156-5492"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Silvia Uribe","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Avenida Complutense, 30, Madrid, 28040, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Avenida Complutense, 30, Madrid, 28040, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088398232","display_name":"Sara Peluso","orcid":"https://orcid.org/0000-0003-1924-1093"},"institutions":[{"id":"https://openalex.org/I4210119117","display_name":"Azienda USL di Bologna","ror":"https://ror.org/02mby1820","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210119117"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Peluso","raw_affiliation_strings":["Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Via Massarenti, 9, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Via Massarenti, 9, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294","https://openalex.org/I4210119117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128857967","display_name":"Gastone Castellani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119117","display_name":"Azienda USL di Bologna","ror":"https://ror.org/02mby1820","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210119117"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gastone Castellani","raw_affiliation_strings":["Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Via Massarenti, 9, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Via Massarenti, 9, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294","https://openalex.org/I4210119117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063023121","display_name":"Cristina Nanni","orcid":"https://orcid.org/0000-0003-2000-1599"},"institutions":[{"id":"https://openalex.org/I4210119117","display_name":"Azienda USL di Bologna","ror":"https://ror.org/02mby1820","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210119117"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cristina Nanni","raw_affiliation_strings":["Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I4210119117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128841840","display_name":"Federico \u00c1lvarez","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Federico \u00c1lvarez","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Avenida Complutense, 30, Madrid, 28040, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Avenida Complutense, 30, Madrid, 28040, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5128906249"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":{"value":2760,"currency":"USD","value_usd":2760},"apc_paid":{"value":2760,"currency":"USD","value_usd":2760},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28262712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"130","issue":null,"first_page":"102752","last_page":"102752"},"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":0.5511999726295471,"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":0.5511999726295471,"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/T10649","display_name":"Multiple Myeloma Research and Treatments","score":0.34619998931884766,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"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":0.009999999776482582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.574999988079071},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5666000247001648},{"id":"https://openalex.org/keywords/multiple-myeloma","display_name":"Multiple myeloma","score":0.5633000135421753},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5153999924659729},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.45750001072883606},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4496000111103058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4189999997615814},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.387800008058548}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.574999988079071},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C2776364478","wikidata":"https://www.wikidata.org/wiki/Q467635","display_name":"Multiple myeloma","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5105999708175659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055999755859375},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.45750001072883606},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.397599995136261},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C203092338","wikidata":"https://www.wikidata.org/wiki/Q1340863","display_name":"Clinical endpoint","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.260699987411499}],"mesh":[{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009101","descriptor_name":"Multiple Myeloma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009101","descriptor_name":"Multiple Myeloma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009101","descriptor_name":"Multiple Myeloma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009101","descriptor_name":"Multiple Myeloma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D009101","descriptor_name":"Multiple Myeloma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019275","descriptor_name":"Radiopharmaceuticals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019275","descriptor_name":"Radiopharmaceuticals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019275","descriptor_name":"Radiopharmaceuticals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019788","descriptor_name":"Fluorodeoxyglucose F18","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019788","descriptor_name":"Fluorodeoxyglucose F18","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019788","descriptor_name":"Fluorodeoxyglucose F18","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1016/j.compmedimag.2026.102752","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compmedimag.2026.102752","pdf_url":null,"source":{"id":"https://openalex.org/S198823948","display_name":"Computerized Medical Imaging and Graphics","issn_l":"0895-6111","issn":["0895-6111","1879-0771"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computerized Medical Imaging and Graphics","raw_type":"journal-article"},{"id":"pmid:41825283","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41825283","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":"Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society","raw_type":null},{"id":"pmh:oai:cris.unibo.it:11585/1055771","is_oa":true,"landing_page_url":"https://www.sciencedirect.com/science/article/pii/S0895611126000558?via=ihub","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1016/j.compmedimag.2026.102752","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compmedimag.2026.102752","pdf_url":null,"source":{"id":"https://openalex.org/S198823948","display_name":"Computerized Medical Imaging and Graphics","issn_l":"0895-6111","issn":["0895-6111","1879-0771"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computerized Medical Imaging and Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4993429481983185,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.4492962062358856,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2913231017","display_name":null,"funder_award_id":"101172872","funder_id":"https://openalex.org/F4320319491","funder_display_name":"Innovative Health Initiative"},{"id":"https://openalex.org/G753318055","display_name":null,"funder_award_id":"101017549","funder_id":"https://openalex.org/F4320322714","funder_display_name":"Universiti Putra Malaysia"}],"funders":[{"id":"https://openalex.org/F4320319491","display_name":"Innovative Health Initiative","ror":null},{"id":"https://openalex.org/F4320322714","display_name":"Universiti Putra Malaysia","ror":"https://ror.org/02e91jd64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1985194686","https://openalex.org/W2034353150","https://openalex.org/W2083927153","https://openalex.org/W2084139018","https://openalex.org/W2128192762","https://openalex.org/W2144728882","https://openalex.org/W2174017222","https://openalex.org/W2753919178","https://openalex.org/W2779787352","https://openalex.org/W2799981419","https://openalex.org/W3018401692","https://openalex.org/W3091008757","https://openalex.org/W4283772197","https://openalex.org/W4324358208","https://openalex.org/W4382345110","https://openalex.org/W4389671188","https://openalex.org/W4391109864","https://openalex.org/W4391942283","https://openalex.org/W4413344624"],"related_works":[],"abstract_inverted_index":{"PURPOSE:":[0],"F]FDG":[1],"PET/CT,":[2],"and":[3,10,26,35,46,71,75,83,92,155],"how":[4],"late":[5,81],"fusion":[6,82,157],"of":[7,32],"PET,":[8],"CT,":[9],"clinical":[11,27,193],"data":[12],"enhances":[13],"prognostic":[14,210],"performance.":[15],"METHODS:":[16],"We":[17,55,89],"analyzed":[18],"227":[19],"newly":[20],"diagnosed":[21],"MM":[22,186],"patients":[23],"with":[24,66,96,138,191],"PET/CT":[25],"data.":[28],"For":[29],"two":[30,57],"regions":[31],"interest":[33],"(spine-dilated":[34],"full":[36],"skeleton),":[37],"we":[38],"prompted":[39],"MedSAM2":[40],"slice-wise":[41],"using":[42,114],"mask-derived":[43],"bounding":[44],"boxes":[45],"cached":[47],"the":[48,115,164],"final":[49],"spatio-temporal":[50],"memory":[51,172],"tensor":[52],"per":[53],"modality.":[54],"compared":[56],"downsampling":[58],"strategy":[59],"to":[60,85,120,126,134,209],"obtain":[61],"per-study":[62],"embeddings:":[63],"channel\u00d7memory":[64],"averaging":[65,116],"a":[67,86,176,206],"small":[68,213],"CNN":[69],"head,":[70],"depth-attention":[72],"pooling.":[73],"PET":[74,160],"CT":[76,162],"embeddings":[77,173],"were":[78],"combined":[79],"by":[80],"passed":[84],"DeepSurv":[87],"head.":[88],"evaluated":[90],"image-only":[91,168],"multimodal":[93],"(image+clinical)":[94],"models":[95,113,131],"stratified":[97],"5-fold":[98],"cross-validation.":[99],"The":[100],"primary":[101],"endpoint":[102],"was":[103],"Harrell's":[104],"c-index":[105,122],"(mean":[106],"\u00b1":[107],"SE":[108],"across":[109],"folds).":[110],"RESULTS:":[111],"Image-only":[112],"downsampler":[117],"achieved":[118],"up":[119],"0.659\u00b10.015":[121],"(PET,":[123],"spine-dilated),":[124,137],"comparable":[125],"baseline":[127],"radiomics":[128,202],"results.":[129],"Multimodal":[130],"improved":[132],"discrimination":[133],"0.710\u00b10.032":[135],"(CT,":[136],"similar":[139],"performance":[140],"for":[141,185],"other":[142],"PET/CT+clinical":[143],"variants":[144],"(0.703-0.710),":[145],"improving":[146],"clinical-only":[147,200],"baselines":[148],"\u223c6.5%.":[149],"Averaging":[150],"consistently":[151],"outperformed":[152,161],"depth-attention;":[153],"concatenation":[154],"gated":[156],"performed":[158],"comparably.":[159],"within":[163],"same":[165],"mask":[166],"in":[167],"settings.":[169],"CONCLUSION:":[170],"Mask-aware":[171],"extracted":[174],"from":[175],"foundational":[177],"segmentation":[178],"model":[179],"provide":[180],"effective,":[181],"data-efficient":[182],"imaging":[183],"biomarkers":[184],"PFS":[187],"and,":[188],"when":[189],"fused":[190],"routine":[192],"covariates,":[194],"significantly":[195],"improve":[196],"risk":[197],"stratification":[198],"over":[199],"or":[201],"baselines.":[203],"This":[204],"offers":[205],"practical":[207],"path":[208],"modeling":[211],"on":[212],"medical":[214],"cohorts":[215],"without":[216],"feature":[217],"design.":[218]},"counts_by_year":[],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2026-03-13T00:00:00"}
