{"id":"https://openalex.org/W1994427789","doi":"https://doi.org/10.1117/12.2006470","title":"Toward improved quantification of disease progression and treatment monitoring using dynamic or static steady-state tumor-model parameters","display_name":"Toward improved quantification of disease progression and treatment monitoring using dynamic or static steady-state tumor-model parameters","publication_year":2013,"publication_date":"2013-03-29","ids":{"openalex":"https://openalex.org/W1994427789","doi":"https://doi.org/10.1117/12.2006470","mag":"1994427789"},"language":"en","primary_location":{"id":"doi:10.1117/12.2006470","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006470","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5077780051","display_name":"Joyoni Dey","orcid":"https://orcid.org/0000-0002-5757-4035"},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joyoni Dey","raw_affiliation_strings":["Univ. of Massachusetts Medical School (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Massachusetts Medical School (United States)","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050299765","display_name":"Robert Licho","orcid":null},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Licho","raw_affiliation_strings":["Univ. of Massachusetts Medical School (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Massachusetts Medical School (United States)","institution_ids":["https://openalex.org/I166722992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077780051"],"corresponding_institution_ids":["https://openalex.org/I166722992"],"apc_list":null,"apc_paid":null,"fwci":0.2739,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5715588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8676","issue":null,"first_page":"867609","last_page":"867609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","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/T11885","display_name":"MRI in cancer diagnosis","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/time-point","display_name":"Time point","score":0.6093416213989258},{"id":"https://openalex.org/keywords/effective-diffusion-coefficient","display_name":"Effective diffusion coefficient","score":0.5978302955627441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4828343987464905},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3452589809894562},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3395769000053406},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.32802557945251465},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2565537691116333}],"concepts":[{"id":"https://openalex.org/C2779466056","wikidata":"https://www.wikidata.org/wiki/Q107630651","display_name":"Time point","level":2,"score":0.6093416213989258},{"id":"https://openalex.org/C70816921","wikidata":"https://www.wikidata.org/wiki/Q258852","display_name":"Effective diffusion coefficient","level":3,"score":0.5978302955627441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4828343987464905},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3452589809894562},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3395769000053406},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32802557945251465},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2565537691116333},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2006470","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006470","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.lsu.edu:physics_astronomy_pubs-2451","is_oa":false,"landing_page_url":"https://digitalcommons.lsu.edu/physics_astronomy_pubs/1371","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W2811415171","https://openalex.org/W1944783101"],"abstract_inverted_index":{"Clinical":[0],"Oncological":[1],"imaging":[2],"is":[3,98,228],"performed":[4],"with":[5,77,169,281,310],"various":[6],"modalities,":[7],"CT,":[8],"MRI":[9,24,43,261],"and":[10,70,126,139,166,203,236,238,248,272,278,289],"F-18-FDG-PET.":[11],"Recently,":[12],"investigators":[13],"have":[14],"used":[15,174],"diffusion-advective-reaction":[16],"tumor-growth":[17],"models":[18],"for":[19,23,67,100,112,143,157,187,264,286,292],"registration":[20],"to":[21,29,49,83,95,135,301],"brain-atlas":[22],"brain-tumor":[25],"datasets.":[26],"We":[27,73,116,154],"wish":[28],"extract":[30],"model":[31,89,125,138,246,298],"parameters":[32,90,168,197,250,280],"from":[33,255],"clinical":[34],"time":[35,177,182,193,201,222],"series":[36,128,178],"scans":[37,108],"of":[38,44,53,87,102,129,306],"tumors":[39],"(e.g.":[40],"CT":[41,259],"or":[42,46,106,145,179,191,260],"brain":[45],"lung":[47],"tumors)":[48],"see":[50],"if":[51],"some":[52,195],"the":[54,85,88,137,141,150,164,175,199,209,224,233],"parameters,":[55],"tumor":[56,123,200,225],"growth":[57,124,249],"rate":[58],"and/or":[59,80],"diffusion-coefficient,":[60],"could":[61,162,274],"potentially":[62],"serve":[63],"as":[64,91],"predictive":[65],"markers":[66],"monitoring":[68],"disease":[69,78],"treatment":[71],"response.":[72],"can":[74],"then":[75,252],"correlate":[76],"history":[79],"PET":[81],"SUV":[82],"assess":[84],"viability":[86],"markers.":[92],"One":[93],"hurdle":[94],"performing":[96],"this":[97,158],"that":[99,156,218],"majority":[101],"patients":[103],"only":[104,311],"1":[105],"2":[107],"would":[109],"be":[110,253],"available":[111,263],"a":[113,180,212,220,257,293,302,316],"specific":[114],"tumor.":[115],"first":[117],"take":[118],"an":[119,307],"existing":[120],"diffusion-advectionreaction":[121],"dynamic":[122],"generate":[127],"synthetic":[130],"tumors.":[131],"Then":[132],"we":[133,161,173,216],"try":[134],"invert":[136],"recover":[140,163,275],"coefficient":[142],"one":[144],"multiple":[146],"target":[147],"scans,":[148],"minimizing":[149],"sum-squared-error":[151],"using":[152],"APPSPACK.":[153],"find":[155],"idealized":[159],"case":[160,189,288],"diffusion-coefficient":[165,247],"growth-rate":[167,279],"\u223c2%-3%":[170],"error":[171,285,291,314],"whether":[172],"entire":[176],"single":[181,192,258],"point.":[183],"However,":[184],"in":[185,208,242,315],"general,":[186],"either":[188],"(multiple":[190],"scan)":[194],"additional":[196],"such":[198],"scan":[202,262],"starting":[204],"locations":[205],"maybe":[206],"necessary":[207],"minimization.":[210],"In":[211],"second":[213],"(novel)":[214],"approach,":[215],"hypothesize":[217],"over":[219],"short":[221],"scale":[223],"density/volume":[226],"change":[227],"small":[229],"(or":[230],"undetectable).":[231],"Thus":[232],"cell":[234],"birth":[235],"death":[237],"diffusion":[239,277],"terms":[240],"are":[241],"near-equilibrium.":[243],"This":[244],"steady-state":[245,276,297],"may":[251],"extracted":[254],"even":[256],"each":[265],"patient.":[266],"Our":[267],"steady":[268],"state":[269],"forward":[270],"simulation":[271],"inversion":[273],"near-perfect":[282],"(\u223c0.6%":[283],")":[284],"no-noise":[287],"\u223c(0,7%)":[290],"high-noise":[294],"case.":[295],"The":[296],"fitted":[299],"excellently":[300],"lung-tumor":[303],"(1-d)":[304],"profile":[305],"(anonymized)":[308],"patient":[309],"1.74%":[312],"fitting":[313],"sum-squared":[317],"sense.":[318],"\u00a9":[319],"2013":[320],"SPIE.":[321]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}