{"id":"https://openalex.org/W3000459944","doi":"https://doi.org/10.1002/jmri.27040","title":"High\u2010Grade Soft\u2010Tissue Sarcomas: Can Optimizing Dynamic Contrast\u2010Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?","display_name":"High\u2010Grade Soft\u2010Tissue Sarcomas: Can Optimizing Dynamic Contrast\u2010Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3000459944","doi":"https://doi.org/10.1002/jmri.27040","mag":"3000459944","pmid":"https://pubmed.ncbi.nlm.nih.gov/31922323"},"language":"en","primary_location":{"id":"doi:10.1002/jmri.27040","doi":"https://doi.org/10.1002/jmri.27040","is_oa":false,"landing_page_url":"https://doi.org/10.1002/jmri.27040","pdf_url":null,"source":{"id":"https://openalex.org/S132538424","display_name":"Journal of Magnetic Resonance Imaging","issn_l":"1053-1807","issn":["1053-1807","1522-2586"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Magnetic Resonance Imaging","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5057075276","display_name":"Amandine Cromb\u00e9","orcid":"https://orcid.org/0000-0003-0098-6482","observed_orcids":["https://orcid.org/0000-0003-0098-6482"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210131512","display_name":"Centre Inria de l'universit\u00e9 de Bordeaux","ror":"https://ror.org/03tjcj052","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210131512"]},{"id":"https://openalex.org/I4210134409","display_name":"Institut Bergoni\u00e9","ror":"https://ror.org/02yw1f353","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210134409"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Amandine Cromb\u00e9","raw_affiliation_strings":["Department of Radiology, Institut Bergonie, Bordeaux, France","Modelisation in Oncology (MOnc) Team INRIA Bordeaux\u2010Sud\u2010Ouest, CNRS UMR 5251 & Universit\u00e9 de Bordeaux Talence France","University of Bordeaux  Bordeaux France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Institut Bergonie, Bordeaux, France","institution_ids":["https://openalex.org/I4210134409"]},{"raw_affiliation_string":"Modelisation in Oncology (MOnc) Team INRIA Bordeaux\u2010Sud\u2010Ouest, CNRS UMR 5251 & Universit\u00e9 de Bordeaux Talence France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210131512"]},{"raw_affiliation_string":"University of Bordeaux  Bordeaux France","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039781301","display_name":"David Fadli","orcid":"https://orcid.org/0000-0002-0392-8336","observed_orcids":["https://orcid.org/0000-0002-0392-8336"]},"institutions":[{"id":"https://openalex.org/I4210134409","display_name":"Institut Bergoni\u00e9","ror":"https://ror.org/02yw1f353","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210134409"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Fadli","raw_affiliation_strings":["Department of Radiology, Institut Bergonie, Bordeaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Institut Bergonie, Bordeaux, France","institution_ids":["https://openalex.org/I4210134409"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074035452","display_name":"Xavier Buy","orcid":"https://orcid.org/0000-0002-2999-2723","observed_orcids":["https://orcid.org/0000-0002-2999-2723"]},"institutions":[{"id":"https://openalex.org/I4210134409","display_name":"Institut Bergoni\u00e9","ror":"https://ror.org/02yw1f353","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210134409"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Buy","raw_affiliation_strings":["Department of Radiology, Institut Bergonie, Bordeaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Institut Bergonie, Bordeaux, France","institution_ids":["https://openalex.org/I4210134409"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060949051","display_name":"Anto\u00eene Italiano","orcid":"https://orcid.org/0000-0002-8540-5351","observed_orcids":["https://orcid.org/0000-0002-8540-5351"]},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210134409","display_name":"Institut Bergoni\u00e9","ror":"https://ror.org/02yw1f353","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210134409"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Italiano","raw_affiliation_strings":["Department of Medical Oncology, Institut Bergonie, Bordeaux, France","University of Bordeaux, Bordeaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Oncology, Institut Bergonie, Bordeaux, France","institution_ids":["https://openalex.org/I4210134409"]},{"raw_affiliation_string":"University of Bordeaux, Bordeaux, France","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080300035","display_name":"Olivier Saut","orcid":"https://orcid.org/0000-0002-4130-150X","observed_orcids":["https://orcid.org/0000-0002-4130-150X"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210131512","display_name":"Centre Inria de l'universit\u00e9 de Bordeaux","ror":"https://ror.org/03tjcj052","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210131512"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Saut","raw_affiliation_strings":["Modelisation in Oncology (MOnc) Team INRIA Bordeaux\u2010Sud\u2010Ouest, CNRS UMR 5251 & Universit\u00e9 de Bordeaux Talence France","University of Bordeaux  Bordeaux France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Modelisation in Oncology (MOnc) Team INRIA Bordeaux\u2010Sud\u2010Ouest, CNRS UMR 5251 & Universit\u00e9 de Bordeaux Talence France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210131512"]},{"raw_affiliation_string":"University of Bordeaux  Bordeaux France","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047589622","display_name":"Mich\u00e8le Kind","orcid":"https://orcid.org/0000-0002-5444-2811","observed_orcids":["https://orcid.org/0000-0002-5444-2811"]},"institutions":[{"id":"https://openalex.org/I4210134409","display_name":"Institut Bergoni\u00e9","ror":"https://ror.org/02yw1f353","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210134409"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mich\u00e8le Kind","raw_affiliation_strings":["Department of Radiology, Institut Bergonie, Bordeaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Institut Bergonie, Bordeaux, France","institution_ids":["https://openalex.org/I4210134409"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057075276"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210131512","https://openalex.org/I4210134409"],"apc_list":{"value":3500,"currency":"USD","value_usd":3500},"apc_paid":null,"fwci":2.2108,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89991776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"52","issue":"1","first_page":"282","last_page":"297"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.002300000051036477,"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/T10253","display_name":"Sarcoma Diagnosis and Treatment","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/high-grade-soft-tissue-sarcoma","display_name":"high-grade soft tissue sarcoma","score":0.9300000071525574},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"dynamic contrast-enhanced MRI","score":0.9879999756813049},{"id":"https://openalex.org/keywords/radiomics","display_name":"radiomics","score":0.9359999895095825},{"id":"https://openalex.org/keywords/prognostic-model","display_name":"prognostic model","score":0.7950000166893005},{"id":"https://openalex.org/keywords/ktrans","display_name":"Ktrans","score":0.6050000190734863},{"id":"https://openalex.org/keywords/time-intensity-curve","display_name":"time-intensity curve","score":0.9679999947547913},{"id":"https://openalex.org/keywords/tumor-heterogeneity","display_name":"tumor heterogeneity","score":0.5619999766349792},{"id":"https://openalex.org/keywords/lasso-cox-regression","display_name":"LASSO Cox regression","score":0.6759999990463257}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.686998724937439},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6820697784423828},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.6223728060722351},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6180452108383179},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.5354964733123779},{"id":"https://openalex.org/C34626388","wikidata":"https://www.wikidata.org/wiki/Q721129","display_name":"Nomogram","level":2,"score":0.4973635971546173},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.49431777000427246},{"id":"https://openalex.org/C144301174","wikidata":"https://www.wikidata.org/wiki/Q7893852","display_name":"Univariate analysis","level":3,"score":0.49398547410964966},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4529414176940918},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41102591156959534},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.410754919052124},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3891608417034149},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3695579171180725},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.31153160333633423},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3031311631202698},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.29820889234542847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.207489013671875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1356387734413147},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009364","descriptor_name":"Neoplasm Recurrence, Local","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012509","descriptor_name":"Sarcoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1002/jmri.27040","doi":"https://doi.org/10.1002/jmri.27040","is_oa":false,"landing_page_url":"https://doi.org/10.1002/jmri.27040","pdf_url":null,"source":{"id":"https://openalex.org/S132538424","display_name":"Journal of Magnetic Resonance Imaging","issn_l":"1053-1807","issn":["1053-1807","1522-2586"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Magnetic Resonance Imaging","raw_type":"journal-article"},{"id":"pmid:31922323","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31922323","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,"listed_in":[],"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":"Journal of magnetic resonance imaging : JMRI","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9537000060081482,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[{"display_name":"Observational Study","id":"https://openalex.org/study-designs/observational-study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1831255489","https://openalex.org/W1970706614","https://openalex.org/W2024781765","https://openalex.org/W2032079626","https://openalex.org/W2040454936","https://openalex.org/W2048302102","https://openalex.org/W2056493028","https://openalex.org/W2082174016","https://openalex.org/W2099698084","https://openalex.org/W2101482993","https://openalex.org/W2113788469","https://openalex.org/W2118309464","https://openalex.org/W2128243895","https://openalex.org/W2128360321","https://openalex.org/W2133704112","https://openalex.org/W2157076315","https://openalex.org/W2198312848","https://openalex.org/W2323581842","https://openalex.org/W2330971088","https://openalex.org/W2350997045","https://openalex.org/W2401690196","https://openalex.org/W2557572778","https://openalex.org/W2588019925","https://openalex.org/W2604496634","https://openalex.org/W2737715241","https://openalex.org/W2751994902","https://openalex.org/W2765456966","https://openalex.org/W2765933949","https://openalex.org/W2772641544","https://openalex.org/W2776927360","https://openalex.org/W2792946475","https://openalex.org/W2885850890","https://openalex.org/W2889261422","https://openalex.org/W2891960303","https://openalex.org/W2898603616","https://openalex.org/W2905890314","https://openalex.org/W2915224732","https://openalex.org/W2916540075","https://openalex.org/W2927100983","https://openalex.org/W2935708273","https://openalex.org/W2938860210","https://openalex.org/W2939228953"],"related_works":["https://openalex.org/W3152820286","https://openalex.org/W3033702652","https://openalex.org/W3199781876","https://openalex.org/W3031090003","https://openalex.org/W2973062544","https://openalex.org/W4403192950","https://openalex.org/W4283770752","https://openalex.org/W2898145656","https://openalex.org/W2053074669","https://openalex.org/W2588019925"],"abstract_inverted_index":{"Background":[0],"Heterogeneity":[1],"on":[2,231,312],"pretreatment":[3],"dynamic":[4],"contrast\u2010enhanced":[5],"(DCE)\u2010MRI":[6],"of":[7,91,95,300,315],"sarcomas":[8],"may":[9],"be":[10],"prognostic,":[11],"but":[12],"the":[13,25,81,107,218,252,258,265,288],"best":[14,26],"technique":[15],"to":[16,28,168,309],"capture":[17],"this":[18],"characteristic":[19],"remains":[20],"unknown.":[21],"Purpose":[22],"To":[23],"investigate":[24],"method":[27],"extract":[29],"prognostic":[30,240,303],"data":[31],"from":[32,70,228],"baseline":[33,83],"DCE\u2010MRI.":[34,57],"Study":[35],"Type":[36],"Retrospective,":[37],"single\u2010center.":[38],"Population":[39],"Fifty":[40],"consecutive":[41],"uniformly\u2010treated":[42],"adults":[43],"with":[44,172,214,239],"nonmetastatic":[45],"high\u2010grade":[46],"sarcomas.":[47],"Field":[48],"Strength/Sequence":[49],"1.5T;":[50],"T2\u2010weighted\u2010imaging,":[51],"fat\u2010suppressed":[52],"fast":[53],"spoiled":[54],"gradient":[55],"echo":[56],"Assessment":[58],"Ninety\u2010two":[59],"radiomics":[60,126,169,192,290],"features":[61],"(RFs)":[62],"were":[63,84,98,114,122,128,149,179,195,212,284],"extracted":[64],"at":[65,110,176],"each":[66],"DCE\u2010MRI":[67,299],"phase":[68],"(11,":[69],"t":[71],"=":[72,242,293],"0\u201388":[73],"sec).":[74],"Relative":[75],"changes":[76],"in":[77,181,202],"RFs":[78,132],"(rRFs)":[79],"since":[80],"acquisition":[82],"calculated":[85],"(11":[86],"\u00d7":[87,118],"92":[88,119],"rRFs).":[89],"Curves":[90],"rRF":[92],"as":[93,151],"function":[94],"time":[96],"postinjection":[97],"integrated":[99],"(92":[100],"integrated\u2010rRFs":[101],"[irRFs]).":[102],"Ktrans":[103],"and":[104,116,144,157,200,221,236,249,276,280],"area":[105,216],"under":[106,217],"time\u2013intensity":[108],"curve":[109,219],"88\u2010sec":[111],"parametric":[112],"maps":[113],"computed":[115],"2":[117],"parametric\u2010RFs":[120],"(pRFs)":[121],"extracted.":[123],"Five":[124],"DCE\u2010MRI\u2010based":[125],"models":[127,148,205,229,245,272,283],"built":[129],"on:":[130,153],"an":[131],"subset":[133],"(32":[134],"sec,":[135,137],"64":[136],"88":[138],"sec);":[139],"all":[140,142,145,234,247,274],"rRFs;":[141],"irRFs;":[143],"pRFs.":[146,316],"Two":[147],"elaborated":[150],"reference,":[152],"conventional":[154],"radiological":[155,259,262,279],"features;":[156],"T2\u2010WI":[158],"RFs.":[159],"Statistical":[160],"Tests":[161],"A":[162],"common":[163],"machine\u2010learning":[164],"approach":[165],"was":[166],"applied":[167],"models.":[170],"Features":[171],"P":[173],"<":[174],"0.05":[175],"univariate":[177],"analysis":[178],"entered":[180,201],"a":[182],"LASSO\u2010penalized":[183],"Cox":[184,204],"regression":[185],"including":[186,246,273],"bootstrapped":[187],"10\u2010fold":[188],"cross\u2010validation.":[189],"The":[190,244,261,278,297],"resulting":[191],"scores":[193],"(RScores)":[194],"dichotomized":[196,226],"per":[197],"their":[198],"median":[199],"multivariate":[203],"for":[206],"predicting":[207],"metastatic":[208],"relapse\u2010free":[209],"survival.":[210],"Models":[211],"compared":[213],"integrative":[215,267],"(AUC)":[220],"concordance":[222],"index.":[223],"Results":[224],"Only":[225],"RScores":[227],"based":[230],"rRFs":[232,248,275,282,313],"subset,":[233],"rRFS":[235],"irRFS":[237],"correlated":[238],"(P":[241,292],"0.0107\u20130.0377).":[243],"irRFs":[250],"had":[251,264],"highest":[253,266],"c\u2010index":[254],"(0.83),":[255],"followed":[256,270],"by":[257,271],"model.":[260],"model":[263,291],"AUC":[268],"(0.87),":[269],"irRFs.":[277],"full":[281],"significantly":[285],"better":[286],"than":[287],"T2\u2010based":[289],"0.02).":[294],"Data":[295],"Conclusion":[296],"initial":[298],"STS":[301],"contains":[302],"information.":[304],"It":[305],"seems":[306],"more":[307],"relevant":[308],"make":[310],"predictions":[311],"instead":[314],"Evidence":[317],"Level:":[318],"3":[319,322],"Technical":[320],"Efficacy:":[321],"J.":[323],"Magn.":[324],"Reson.":[325],"Imaging":[326],"2020;52:282\u2013297.":[327]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-01-23T00:00:00"}
