Deep learning for oncologic treatment outcomes and endpoints evaluation from CT scans in liver cancer
Xia Y, Zhou J, Xun X, Johnston L, Wei T, Gao R, Zhang Y, Reddy B, Liu C, Kim G, Zhang J, Zhao S, Yu Z. Deep learning for oncologic treatment outcomes and endpoints evaluation from CT scans in liver cancer. Npj Precision Oncology 2024, 8: 263. PMID: 39551847, PMCID: PMC11570623, DOI: 10.1038/s41698-024-00754-z.Peer-Reviewed Original ResearchProgression-free survivalCT scanLiver cancerAccurate treatment response assessmentResponse evaluationMetastatic organ sitesOncological treatment outcomesResponse Evaluation CriteriaLow-risk patientsTreatment response assessmentTreatment response evaluationTreatment response classificationAdvanced liver cancerStratify high-riskMultifocal hepatic lesionsTreatment outcome assessmentEvaluation of responseOverall survivalEvaluation CriteriaInternal five-fold cross-validationOncology clinical trialsResponse assessmentSolid tumorsClinical trialsTreatment outcomesDeep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer
Zhou J, Xia Y, Xun X, Yu Z. Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer. Journal Of Imaging Informatics In Medicine 2024, 1-14. PMID: 38740661, DOI: 10.1007/s10278-024-01132-8.Peer-Reviewed Original Research