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 outcomesCT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy
Xia Y, Zhou J, Xun X, Zhang J, Wei T, Gao R, Reddy B, Liu C, Kim G, Yu Z. CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy. Insights Into Imaging 2024, 15: 214. PMID: 39186192, PMCID: PMC11347550, DOI: 10.1186/s13244-024-01784-8.Peer-Reviewed Original ResearchConvolutional-recurrent neural networkAdvanced hepatocellular carcinomaSpatial-temporal informationHepatocellular carcinomaCT scanOverall survival predictionRECIST criteriaClinical variablesPatients treated with immunotherapyExtract spatial-temporal informationFollow-up CT imagesPrognostic modelAdvanced HCC patientsRisk group stratificationDeep learning-based modelTest setDisease statusMethodsThis retrospective studyLog-rank testMultimodal deep learningMulti-modal inputsSurvival predictionDeep learning modelsAnalysis of CT scansPatient's disease status