{"id":"https://openalex.org/W7168484868","doi":"https://doi.org/10.48550/arxiv.2607.13506","title":"TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance","display_name":"TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7168484868","doi":"https://doi.org/10.48550/arxiv.2607.13506"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.13506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.13506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.13506","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031540493","display_name":"Hongye Zeng","orcid":"https://orcid.org/0000-0001-8962-559X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Hongye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135130926","display_name":"Shreeram Athreya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Athreya, Shreeram","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141015830","display_name":"Dingyuan Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Dingyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141041203","display_name":"Steve Raman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raman, Steve","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112208593","display_name":"Leonard Marks","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marks, Leonard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135785400","display_name":"William Speier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Speier, William","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140996435","display_name":"Corey Arnold","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arnold, Corey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.006500000134110451,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.7573000192642212},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.47859999537467957},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.47600001096725464},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.39559999108314514},{"id":"https://openalex.org/keywords/multiparametric-mri","display_name":"Multiparametric MRI","score":0.3765999972820282},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.36899998784065247}],"concepts":[{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.7573000192642212},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6406999826431274},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4120999872684479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4081000089645386},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C2910607126","wikidata":"https://www.wikidata.org/wiki/Q48790829","display_name":"Multiparametric MRI","level":4,"score":0.3765999972820282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37119999527931213},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.36239999532699585},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.32440000772476196},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.320499986410141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C198433322","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value of tests","level":2,"score":0.29019999504089355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.13506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.13506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.13506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.13506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6242552399635315,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Active":[0],"surveillance":[1],"(AS)":[2],"is":[3,111],"the":[4,96,123,143],"preferred":[5],"strategy":[6],"for":[7,67],"favorable-risk":[8],"prostate":[9],"cancer,":[10],"yet":[11],"current":[12,147],"protocols":[13],"rely":[14],"on":[15,32,38,128],"scheduled":[16],"repeat":[17],"biopsies,":[18],"most":[19],"of":[20,125],"which":[21],"reveal":[22],"no":[23],"progression":[24,70],"and":[25,49,64,88,139],"are":[26],"unnecessary.":[27],"Existing":[28],"risk-stratification":[29],"tools":[30],"operate":[31],"single":[33],"time-point":[34],"imaging":[35,102,109],"or":[36],"depend":[37],"explicit":[39],"lesion":[40,74],"segmentation,":[41],"limiting":[42],"their":[43],"ability":[44],"to":[45,99,121,142,165],"capture":[46],"longitudinal":[47,130],"change":[48],"excluding":[50],"patients":[51],"without":[52,73],"an":[53,61],"MRI-visible":[54],"lesion.":[55],"In":[56],"this":[57],"study,":[58],"we":[59],"propose":[60],"end-to-end":[62],"temporal":[63,91],"multimodal":[65,119],"model":[66,87],"predicting":[68],"pathological":[69],"during":[71,170],"AS":[72,131],"segmentation.":[75],"We":[76],"encode":[77],"each":[78],"serial":[79],"scan":[80],"with":[81,105,114],"a":[82,90,118,129],"pretrained":[83],"3D":[84],"MRI":[85],"foundation":[86],"introduce":[89],"attention":[92],"gate":[93],"that":[94],"recalibrates":[95],"multi-visit":[97],"features":[98],"amplify":[100],"focal":[101],"changes":[103],"associated":[104],"progression.":[106,126],"The":[107],"gated":[108],"representation":[110],"then":[112],"fused":[113],"clinical":[115,148],"variables":[116],"in":[117],"framework":[120],"estimate":[122],"probability":[124],"Validated":[127],"cohort,":[132],"our":[133],"approach":[134],"consistently":[135],"outperforms":[136],"competing":[137],"baselines":[138],"performs":[140],"comparably":[141],"radiologist":[144],"assessment":[145],"representing":[146],"practice.":[149],"It":[150],"maintains":[151],"high":[152],"negative":[153],"predictive":[154,160],"value":[155],"while":[156],"achieving":[157],"higher":[158],"positive":[159],"value,":[161],"demonstrating":[162],"its":[163],"potential":[164],"safely":[166],"reduce":[167],"unnecessary":[168],"biopsies":[169],"surveillance.":[171]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-17T00:00:00"}
