{"id":"https://openalex.org/W4409429675","doi":"https://doi.org/10.32920/28789595","title":"Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer","display_name":"Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4409429675","doi":"https://doi.org/10.32920/28789595"},"language":"en","primary_location":{"id":"doi:10.32920/28789595","doi":"https://doi.org/10.32920/28789595","is_oa":true,"landing_page_url":"https://doi.org/10.32920/28789595","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Toronto Metropolitan University","raw_type":"posted-content"},"volume":null,"type":"other","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.32920/28789595","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032455065","display_name":"Adrian Wai Chan","orcid":"https://orcid.org/0000-0002-9287-1158","observed_orcids":["https://orcid.org/0000-0002-9287-1158"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adrian Wai Chan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010501409","display_name":"Lakshmanan Sannachi","orcid":"https://orcid.org/0000-0002-9775-0224","observed_orcids":["https://orcid.org/0000-0002-9775-0224"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lakshmanan Sannachi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018196410","display_name":"Daniel Moore-Palhares","orcid":"https://orcid.org/0000-0002-3280-4498","observed_orcids":["https://orcid.org/0000-0002-3280-4498"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Moore-Palhares","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033773167","display_name":"Archya Dasgupta","orcid":"https://orcid.org/0000-0001-8341-2622","observed_orcids":["https://orcid.org/0000-0001-8341-2622"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Archya Dasgupta","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8341-2622","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030239845","display_name":"Sonal Gandhi","orcid":"https://orcid.org/0000-0001-8993-1327","observed_orcids":["https://orcid.org/0000-0001-8993-1327"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sonal Gandhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114022606","display_name":"Rossanna C. Pezo","orcid":"https://orcid.org/0000-0002-1260-7710","observed_orcids":["https://orcid.org/0000-0002-1260-7710"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rossanna Pezo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065891328","display_name":"Andrea F. Eisen","orcid":"https://orcid.org/0000-0001-8037-9556","observed_orcids":["https://orcid.org/0000-0001-8037-9556"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Eisen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8037-9556","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064031188","display_name":"Ellen Warner","orcid":"https://orcid.org/0000-0002-7956-6845","observed_orcids":["https://orcid.org/0000-0002-7956-6845"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ellen Warner","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7956-6845","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039283573","display_name":"Frances Catriona Wright","orcid":"https://orcid.org/0000-0003-1904-4997","observed_orcids":["https://orcid.org/0000-0003-1904-4997"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frances C. Wright","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018442509","display_name":"Nicole J. Look Hong","orcid":"https://orcid.org/0000-0002-2106-341X","observed_orcids":["https://orcid.org/0000-0002-2106-341X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicole J. Look Hong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017745259","display_name":"Ali Sadeghi Naini","orcid":"https://orcid.org/0000-0001-5055-339X","observed_orcids":["https://orcid.org/0000-0001-5055-339X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Sadeghi-Naini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000621161","display_name":"Mia Skarpathiotakis","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mia Skarpathiotakis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006700428","display_name":"Belinda N. Curpen","orcid":"https://orcid.org/0000-0003-3271-8087","observed_orcids":["https://orcid.org/0000-0003-3271-8087"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Belinda Curpen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014974575","display_name":"Carrie Betel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carrie Betel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027024186","display_name":"Michael C. Kolios","orcid":"https://orcid.org/0000-0002-9994-8293","observed_orcids":["https://orcid.org/0000-0002-9994-8293"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael C. Kolios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047113165","display_name":"Maureen Trudeau","orcid":"https://orcid.org/0000-0002-0938-4499","observed_orcids":["https://orcid.org/0000-0002-0938-4499"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maureen Trudeau","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103136151","display_name":"Gregory Jan Czarnota","orcid":"https://orcid.org/0000-0002-9973-4586","observed_orcids":["https://orcid.org/0000-0002-9973-4586"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gregory J. Czarnota","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":true,"cited_by_count":1,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.5562000274658203,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.5562000274658203,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.2969000041484833,"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":0.07259999960660934,"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/breast-cancer","display_name":"breast cancer","score":0.9679999947547913},{"id":"https://openalex.org/keywords/neoadjuvant-chemotherapy","display_name":"neoadjuvant chemotherapy","score":0.9430000185966492},{"id":"https://openalex.org/keywords/treatment-response-prediction","display_name":"treatment response prediction","score":0.8109999895095825},{"id":"https://openalex.org/keywords/quantitative-ultrasound","display_name":"quantitative ultrasound","score":0.984000027179718},{"id":"https://openalex.org/keywords/tumor-molecular-subtypes","display_name":"tumor molecular subtypes","score":0.8679999709129333},{"id":"https://openalex.org/keywords/pre-treatment-imaging","display_name":"pre-treatment imaging","score":0.5519999861717224},{"id":"https://openalex.org/keywords/model-validation","display_name":"model validation","score":0.5519999861717224},{"id":"https://openalex.org/keywords/nonresponders","display_name":"non-responders","score":0.6349999904632568}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6826730966567993},{"id":"https://openalex.org/C2776694085","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Chemotherapy","level":2,"score":0.5275145173072815},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.483180433511734},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.47492465376853943},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.46791842579841614},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4566267430782318},{"id":"https://openalex.org/C2778292576","wikidata":"https://www.wikidata.org/wiki/Q6991934","display_name":"Neoadjuvant therapy","level":4,"score":0.44881221652030945},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.4308930039405823},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37169837951660156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33118754625320435},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.31923601031303406},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2968043088912964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18773049116134644},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32920/28789595","doi":"https://doi.org/10.32920/28789595","is_oa":true,"landing_page_url":"https://doi.org/10.32920/28789595","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Toronto Metropolitan University","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.32920/28789595","doi":"https://doi.org/10.32920/28789595","is_oa":true,"landing_page_url":"https://doi.org/10.32920/28789595","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Toronto Metropolitan University","raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9940000176429749}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413116208","https://openalex.org/W4389933919","https://openalex.org/W2906839937","https://openalex.org/W2606954399","https://openalex.org/W2781678589","https://openalex.org/W3043828458","https://openalex.org/W2960288531","https://openalex.org/W3039188410","https://openalex.org/W4416985960","https://openalex.org/W7126425630"],"abstract_inverted_index":{"This":[0],"work":[1],"was":[2,94,104,117,128,139,257],"conducted":[3,258],"in":[4,20,32,67,165,183,187,203,240,248,259,285,309],"order":[5],"to":[6,24,29,79,86,119,142,224,269,274,294,314],"validate":[7],"a":[8,90,188,249,255],"pre-treatment":[9],"quantitative":[10,109,278],"ultrasound":[11],"(QUS)":[12],"and":[13,27,51,62,113,122,132,155,174,197,212,243,282,300],"texture":[14,111,280],"derivative":[15],"analyses-based":[16],"prediction":[17,101],"model":[18,256],"proposed":[19],"our":[21],"previous":[22],"study":[23],"identify":[25,120],"responders":[26,121],"non-responders":[28,311],"neoadjuvant":[30,60,275],"chemotherapy":[31,61,69,160,185,228,276],"patients":[33,45,164,178,202,286],"with":[34,59,287],"breast":[35,43,288],"cancer.":[36,289],"The":[37,100,124,146],"validation":[38,167,205],"cohort":[39,168,206,262],"consisted":[40],"of":[41,82,162,200,207,227,233,238,251,254,263],"56":[42],"cancer":[44],"diagnosed":[46],"between":[47],"the":[48,80,143,166,204,217,225,234,266,271,296,303],"years":[49],"2018":[50],"2021.":[52],"Among":[53],"all":[54,163,201],"patients,":[55],"53":[56],"were":[57,75,169],"treated":[58],"three":[63],"had":[64,180],"unplanned":[65,181,221],"changes":[66,182],"their":[68,184],"cycles.":[70],"Radio":[71],"Frequency":[72],"(RF)":[73],"data":[74],"collected":[76],"volumetrically":[77],"prior":[78],"start":[81],"chemotherapy.":[83],"In":[84],"addition":[85],"tumour":[87,114,241,246,272],"region":[88],"(core),":[89],"5":[91],"mm":[92],"tumour-margin":[93],"also":[95],"chosen":[96],"for":[97,158,216,265],"parameters":[98],"estimation.":[99],"model,":[102,236],"which":[103,127],"developed":[105],"previously":[106],"based":[107],"on":[108],"ultrasound,":[110,279],"derivative,":[112],"molecular":[115,283],"subtypes,":[116],"used":[118],"non-responders.":[123],"actual":[125],"response,":[126],"determined":[129],"by":[130,312],"clinical":[131],"pathological":[133],"assessment":[134],"after":[135],"lumpectomy":[136],"or":[137],"mastectomy,":[138],"then":[140],"compared":[141],"predicted":[144,310],"response.":[145],"sensitivity,":[147,189],"specificity,":[148,190],"positive":[149,191,297],"predictive":[150,153,192,195,235,298],"value,":[151,154,193,196],"negative":[152,194],"F1":[156,198],"score":[157,199],"determining":[159],"response":[161,273],"94%,":[170,208],"67%,":[171],"96%,":[172],"57%,":[173],"95%,":[175],"respectively.":[176,214],"Removing":[177],"who":[179],"resulted":[186],"100%,":[209,210],"50%,":[211],"97%,":[213],"Explanations":[215],"misclassified":[218],"cases":[219],"included":[220],"modifications":[222],"made":[223],"type":[226],"during":[229],"treatment,":[230],"inherent":[231],"limitations":[232],"presence":[237],"DCIS":[239],"structure,":[242],"an":[244,260],"ill-defined":[245],"border":[247],"minority":[250],"cases.":[252],"Validation":[253],"independent":[261],"patient":[264],"first":[267],"time":[268],"predict":[270],"using":[277],"derivate,":[281],"features":[284],"Further":[290],"research":[291],"is":[292],"needed":[293],"improve":[295],"value":[299],"evaluate":[301],"whether":[302],"treatment":[304,316],"outcome":[305],"can":[306],"be":[307],"improved":[308],"switching":[313],"other":[315],"options.":[317]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2025-04-15T00:00:00"}
