{"id":"W4291624850","doi":"10.11152/mu-3503","title":"Quantitative contrast-enhanced endoscopic ultrasound in pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumors: can we predict survival using perfusion parameters? A pilot study.","year":2022,"lang":"en","type":"article","venue":"Medical Ultrasonography","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Medicine; Pancreatic ductal adenocarcinoma; Endoscopic ultrasound; Contrast-enhanced ultrasound; Internal medicine; Proportional hazards model; Perfusion; Pancreatic cancer; Radiology; Vascularity; Oncology; Neuroendocrine tumors; Survival analysis; Stage (stratigraphy); Adenocarcinoma; Area under the curve; Gastroenterology; Ultrasound; 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":[0.00123264,0.0003203138,0.0002478207,0.0002658526,0.0001282026,0.0002733756,0.0001615571,0.0003093819,0.000838947],"category_scores_gemma":[0.002598309,0.000136338,0.0003349574,0.0002111863,0.0002968348,0.0003249943,0.0002756042,0.0003409833,0.000174695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141724,"about_ca_system_score_gemma":0.0002452474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004104622,"about_ca_topic_score_gemma":0.0003648626,"domain_scores_codex":[0.9997545,0.0001247392,0.00001599251,0.00004152837,0.00003543921,0.00002786913],"domain_scores_gemma":[0.9981372,0.00101735,0.000303968,0.0001364539,0.000127681,0.0002772796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005040438,0.0005819394,0.9777102,0.00004481024,0.0001070901,0.0003031898,0.00009499146,0.0002492205,0.004724679,0.00002962748,0.00005526175,0.0110586],"study_design_scores_gemma":[0.000225269,0.007751924,0.9864071,0.00001212722,0.0001333338,0.001399323,0.000182972,0.001720771,0.001616401,0.00007462431,0.0004654058,0.00001074101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993359,0.0002838531,0.000212185,0.00001080035,0.000003460943,0.000009008305,0.00004137001,0.000002163099,0.0001012594],"genre_scores_gemma":[0.9996307,0.00005658058,0.0001669766,0.000007714007,0.000006636212,0.00001017484,0.00006974925,7.53316e-7,0.00005069979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00123264,"threshold_uncertainty_score":0.0065189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729661254704993,"score_gpt":0.3245984778428677,"score_spread":0.2773018652958178,"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."}}