2024
Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning
Gross M, Haider S, Ze’evi T, Huber S, Arora S, Kucukkaya A, Iseke S, Gebauer B, Fleckenstein F, Dewey M, Jaffe A, Strazzabosco M, Chapiro J, Onofrey J. Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning. European Radiology 2024, 34: 6940-6952. PMID: 38536464, PMCID: PMC11399284, DOI: 10.1007/s00330-024-10624-8.Peer-Reviewed Original ResearchContrast-enhanced magnetic resonance imagingMagnetic resonance imagingClinical staging systemTime of diagnosisHepatocellular carcinomaClinical dataMortality risk predictionOverall survivalStaging systemRadiomic featuresManagement of hepatocellular carcinomaPersonalized follow-up strategiesAssociated with OSMethodsThis retrospective studyHepatocellular carcinoma patientsBaseline magnetic resonance imagingMRI radiomics featuresIndependent validation cohortHarrell's C-indexRisk predictionFollow-up strategiesHigh-risk groupPredictive risk scoreRadiomics feature extractionMedian time
2013
Unveiling the role of tumor reactive stroma in cholangiocarcinoma: an opportunity for new therapeutic strategies.
Cadamuro M, Morton SD, Strazzabosco M, Fabris L. Unveiling the role of tumor reactive stroma in cholangiocarcinoma: an opportunity for new therapeutic strategies. Translational Gastroenterology And Hepatology 2013, 2: 130-144. PMID: 28989865, PMCID: PMC5627657, DOI: 10.3978/j.issn.2224-4778.2013.04.02.Peer-Reviewed Original ResearchTumor reactive stromaReactive stromaTime of diagnosisRegional lymph nodesPotential new treatmentSpecific therapeutic interventionsNew therapeutic strategiesPro-invasive propertiesNumber of carcinomasCurative intentSurgical resectionLymph nodesCurative treatmentAggressive neoplasmPancreatic cancerBreast cancerTumor stromaTherapeutic strategiesCholangiocarcinomaEpidemiological impactTherapeutic chanceTherapeutic interventionsTumor growthNew treatmentsParacrine communication