{"id":"https://openalex.org/W4226480463","doi":"https://doi.org/10.1117/12.2611569","title":"Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers","display_name":"Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers","publication_year":2022,"publication_date":"2022-04-04","ids":{"openalex":"https://openalex.org/W4226480463","doi":"https://doi.org/10.1117/12.2611569"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611569","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Digital and Computational Pathology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006991060","display_name":"Salma Dammak","orcid":"https://orcid.org/0000-0003-2927-338X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salma Dammak","raw_affiliation_strings":["Western Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058914453","display_name":"Matthew J. Cecchini","orcid":"https://orcid.org/0000-0001-7224-5216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew J. Cecchini","raw_affiliation_strings":["Western Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113914224","display_name":"Aaron D. Ward","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron D. Ward","raw_affiliation_strings":["Western Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]}],"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":"1","issue":null,"first_page":"30","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10158","display_name":"Cancer Immunotherapy and Biomarkers","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10158","display_name":"Cancer Immunotherapy and Biomarkers","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10417","display_name":"Lung Cancer Treatments and Mutations","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.7165946960449219},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5800577402114868},{"id":"https://openalex.org/keywords/interquartile-range","display_name":"Interquartile range","score":0.5572545528411865},{"id":"https://openalex.org/keywords/immunotherapy","display_name":"Immunotherapy","score":0.5230294466018677},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.5167088508605957},{"id":"https://openalex.org/keywords/squamous-cell-carcinoma-of-the-lung","display_name":"Squamous-cell carcinoma of the lung","score":0.505886971950531},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.48401448130607605},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.41054973006248474},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.39211881160736084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3710073232650757},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.36991679668426514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3635546565055847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34431877732276917},{"id":"https://openalex.org/keywords/immunohistochemistry","display_name":"Immunohistochemistry","score":0.2932400405406952}],"concepts":[{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.7165946960449219},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5800577402114868},{"id":"https://openalex.org/C119060515","wikidata":"https://www.wikidata.org/wiki/Q1916617","display_name":"Interquartile range","level":2,"score":0.5572545528411865},{"id":"https://openalex.org/C2777701055","wikidata":"https://www.wikidata.org/wiki/Q1427096","display_name":"Immunotherapy","level":3,"score":0.5230294466018677},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.5167088508605957},{"id":"https://openalex.org/C2779327097","wikidata":"https://www.wikidata.org/wiki/Q5749020","display_name":"Squamous-cell carcinoma of the lung","level":3,"score":0.505886971950531},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.48401448130607605},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.41054973006248474},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.39211881160736084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3710073232650757},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.36991679668426514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3635546565055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34431877732276917},{"id":"https://openalex.org/C204232928","wikidata":"https://www.wikidata.org/wiki/Q899285","display_name":"Immunohistochemistry","level":2,"score":0.2932400405406952}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611569","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Digital and Computational Pathology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1982488143","https://openalex.org/W2077275870","https://openalex.org/W2104636679","https://openalex.org/W2108598243","https://openalex.org/W2114843025","https://openalex.org/W2149441684","https://openalex.org/W2156353875","https://openalex.org/W2521492299","https://openalex.org/W2635951006","https://openalex.org/W2745683917","https://openalex.org/W2753065806","https://openalex.org/W2760946358","https://openalex.org/W2952481429","https://openalex.org/W2986970931","https://openalex.org/W2995123342","https://openalex.org/W3011437821","https://openalex.org/W4231792247","https://openalex.org/W4233730708","https://openalex.org/W6631190155","https://openalex.org/W6728184133","https://openalex.org/W6741414320","https://openalex.org/W6775052588"],"related_works":["https://openalex.org/W1681476849","https://openalex.org/W2487490720","https://openalex.org/W2793077515","https://openalex.org/W4292573045","https://openalex.org/W2126365059","https://openalex.org/W2980097659","https://openalex.org/W4386009577","https://openalex.org/W2981615369","https://openalex.org/W3130621552","https://openalex.org/W3048651736"],"abstract_inverted_index":{"Immunotherapy":[0],"is":[1,42,56,64,152],"a":[2,65,133,164,185,226],"novel":[3],"anti-cancer":[4],"treatment":[5,18],"that":[6,108,121,150,228],"shows":[7],"significant":[8],"improvements":[9],"in":[10,39,98,221,232],"outcomes":[11],"for":[12,22,162,211],"lung":[13,28,69,244],"cancer":[14,29],"patients.":[15],"However,":[16,83],"this":[17,145,151,222],"has":[19],"the":[20,44,84,99,137,174,189,203,233],"potential":[21],"substantial":[23],"side":[24],"effects,":[25],"and":[26,86,117,157,196],"many":[27],"patients":[30,241],"do":[31],"not":[32,57],"benefit":[33,53,247],"from":[34,114,125,132,169,173,248],"it.":[35],"Programmed-death":[36],"ligand-1":[37],"expression":[38],"tumor":[40],"cells":[41],"currently":[43],"main":[45],"biomarker":[46],"used":[47,231],"to":[48,79,81,90,96,224,235,239],"identify":[49],"those":[50],"who":[51],"might":[52],"but":[54],"it":[55,88,94],"very":[58],"accurate.":[59],"Tumor":[60],"mutational":[61],"burden":[62],"(TMB)":[63],"promising":[66],"alternative,":[67],"with":[68,184,242],"cancers":[70],"having":[71],"more":[72,77],"than":[73],"10":[74],"mutations/megabase":[75],"being":[76],"likely":[78],"respond":[80],"immunotherapy.":[82,249],"cost":[85],"time":[87],"takes":[89],"obtain":[91],"TMB":[92,109],"makes":[93],"difficult":[95],"implement":[97],"clinic.":[100],"In":[101,144],"our":[102],"previous":[103],"work,":[104],"we":[105,147,209],"have":[106,148],"shown":[107,149],"status":[110],"can":[111,229],"be":[112,230],"predicted":[113],"digitized":[115],"hematoxylin":[116],"eosin":[118],"histology":[119],"slides":[120,168],"are":[122],"routinely":[123],"obtained":[124],"surgical":[126],"resection":[127],"of":[128,141,194,200],"squamous":[129,243],"cell":[130],"carcinoma":[131,245],"single":[134],"center":[135],"using":[136,166],"deep":[138],"learning":[139],"technique":[140],"transfer":[142],"learning.":[143],"study,":[146],"possible":[153],"across":[154],"different":[155,171],"centers":[156,172],"explored":[158],"various":[159],"design":[160],"parameters":[161,179],"such":[163],"system":[165,227],"30":[167],"20":[170],"Cancer":[175],"Genome":[176],"Atlas.":[177],"The":[178,207],"exploration":[180],"yielded":[181],"108":[182],"models":[183],"median":[186],"area":[187],"under":[188],"receiver":[190],"operator":[191],"characteristic":[192],"curve":[193],"0.70,":[195],"an":[197],"interquartile":[198],"range":[199],"0.30":[201],"on":[202],"validation":[204],"set":[205],"(n=7).":[206],"model":[208],"selected":[210],"further":[212],"testing":[213],"had":[214],"perfect":[215],"classification.":[216],"This":[217],"motivates":[218],"additional":[219],"work":[220],"direction":[223],"build":[225],"future":[234],"inform":[236],"physicians":[237],"as":[238],"which":[240],"would":[246]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
