{"id":"W4391095732","doi":"10.1016/j.radonc.2023.110070","title":"Using multiparametric Magnetic Resonance Imaging and Prostate Specific Membrane Antigen Positron Emission Tomography to detect and delineate the gross tumour volume of intraprostatic lesions – A systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"Radiotherapy and Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"Ontario Institute for Cancer Research; Cancer Care Ontario","keywords":"Medicine; Prostate cancer; Meta-analysis; Prostatectomy; Positron emission tomography; Nuclear medicine; Magnetic resonance imaging; Receiver operating characteristic; Multiparametric MRI; Radiology; Internal medicine; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01535309,0.002808666,0.01910591,0.00840346,0.00072213,0.003294612,0.00224173,0.00243792,0.003047975],"category_scores_gemma":[0.03417629,0.001634471,0.03697949,0.009466865,0.000829121,0.001891041,0.001539744,0.001515985,0.0003584563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665778,"about_ca_system_score_gemma":0.004021296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007684556,"about_ca_topic_score_gemma":0.01881612,"domain_scores_codex":[0.9885925,0.005092212,0.003410234,0.001239075,0.001343823,0.000322125],"domain_scores_gemma":[0.9734799,0.01891813,0.004853372,0.0007375131,0.001733828,0.000277216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001214135,0.00002598508,0.005498972,0.443974,0.5379661,0.0001396447,0.00008862661,0.0005012494,0.0002176212,0.0001002533,0.0005139051,0.009759317],"study_design_scores_gemma":[0.0003459378,0.0001593084,0.003963446,0.03329474,0.9606276,0.0001150047,0.00004219123,0.0001672532,0.00009085189,0.0001139474,0.001057161,0.00002260527],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004785839,0.9935896,0.000453458,0.0001602706,0.0000867494,0.0002741327,0.0004335923,0.00001877585,0.0001975514],"genre_scores_gemma":[0.1743102,0.8192593,0.002582086,0.0008857074,0.0002736968,0.001447042,0.0009037461,0.00002974322,0.0003083158],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01910591,"threshold_uncertainty_score":0.08119583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145387989712224,"score_gpt":0.3736625274244948,"score_spread":0.3122086475273725,"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."}}