2024
CT-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
2007
Tubedown Expression Correlates with the Differentiation Status and Aggressiveness of Neuroblastic Tumors
Martin DT, Gendron RL, Jarzembowski JA, Perry A, Collins MH, Pushpanathan C, Miskiewicz E, Castle VP, Paradis H. Tubedown Expression Correlates with the Differentiation Status and Aggressiveness of Neuroblastic Tumors. Clinical Cancer Research 2007, 13: 1480-1487. PMID: 17332292, DOI: 10.1158/1078-0432.ccr-06-1716.Peer-Reviewed Original ResearchConceptsNeuroblastic tumorsPrognostic factorsDifferentiation statusIndependent prognostic factorRisk group stratificationHigh-risk groupNew prognostic factorsNormal adrenal tissueRetinoic acid-induced neuronal differentiationNeuroblastoma cell linesUnfavorable histopathologyPoor outcomeNeuroblastoma patientsAdrenal tissueGroup stratificationTumor subsetsAdvanced stageDifferentiation responseFavorable histopathologyTumorsNeuroblastoma cellsExpression correlatesWestern blotWestern blottingMonoclonal antibodies
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