{"id":"W2982931032","doi":"10.1002/hed.25975","title":"Evaluation of 18F‐FDG PET/CT as an early imaging biomarker for response monitoring after radiochemotherapy using cetuximab in head and heck squamous cell carcinoma","year":2019,"lang":"en","type":"article","venue":"Head & Neck","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Chemoradiotherapy; Nuclear medicine; Progression-free survival; Head and neck cancer; Head and neck squamous-cell carcinoma; Positron emission tomography; Cetuximab; PET-CT; Multivariate analysis; Biomarker; Internal medicine; Oncology; Radiation therapy; Response Evaluation Criteria in Solid Tumors; Clinical endpoint; Imaging biomarker; Cancer; Radiology; Randomized controlled trial; Chemotherapy; Progressive disease; Magnetic resonance imaging; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312763,0.0003041473,0.0006650526,0.0003119834,0.000187196,0.0004334837,0.0003613914,0.0004956663,0.000701008],"category_scores_gemma":[0.001026698,0.0002421756,0.00034151,0.0001865247,0.0002899388,0.0002584195,0.0001509999,0.0003963618,0.0001745152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005448729,"about_ca_system_score_gemma":0.0004763308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006881416,"about_ca_topic_score_gemma":0.001235394,"domain_scores_codex":[0.9997028,0.0001253303,0.00002554358,0.00004539552,0.00005277707,0.00004821584],"domain_scores_gemma":[0.9993199,0.0001599681,0.0002249759,0.00003638878,0.00009013931,0.0001685915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08990257,0.005419994,0.7834873,0.0002236897,0.0004147209,0.000327487,0.0001019539,0.001695422,0.0665387,0.00003466096,0.0003092912,0.05154413],"study_design_scores_gemma":[0.006880899,0.09863277,0.8464274,0.00003314637,0.0008036921,0.001313261,0.0001145629,0.007491667,0.03739598,0.0000505151,0.0008215994,0.00003457291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995226,0.0002689117,0.00006649155,0.00001173454,0.000002972621,0.00004746981,0.0000217802,0.000002543818,0.00005555259],"genre_scores_gemma":[0.9993846,0.00008732445,0.0002862104,0.00001904999,0.000007079425,0.00004895964,0.00009745063,9.387121e-7,0.0000683874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001312763,"threshold_uncertainty_score":0.00694263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004551534918603,"score_gpt":0.3655337182659564,"score_spread":0.3154882029167704,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}