Search results for "risk scoring"

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Immunonutritive Scoring in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Prognostic Nutritional Index or Control…

2021

ObjectivesThe Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score are immunonutritive scoring systems with proven predictive ability in various cancer entities, including hepatocellular carcinoma (HCC). We performed the first evaluation of the CONUT score for patients undergoing transarterial chemoembolization (TACE) and compared CONUT and PNI in the ability to predict median overall survival (OS).MethodsBetween 2010 and 2020, we retrospectively identified 237 treatment-naïve patients with HCC who underwent initial TACE at our institution. Both scores include the albumin level and total lymphocyte count. The CONUT additionally includes the cholesterol level. …

Cancer Researchmedicine.medical_specialtyMultivariate statisticsMultivariate analysisSubgroup analysistransarterial chemoembolizationimmunonutritive scoringGastroenterology03 medical and health sciences0302 clinical medicinecontrolling nutritional statusInternal medicinemedicineIn patientsurvival predictionRC254-282Original Researchrisk scoringbusiness.industryNeoplasms. Tumors. Oncology. Including cancer and carcinogensCancerNutritional statushepatocellular carcinomaprognostic nutritional indexmedicine.diseaseBCLC StageOncology030220 oncology & carcinogenesisHepatocellular carcinoma030211 gastroenterology & hepatologybusinessFrontiers in Oncology
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Survival Prediction in Intrahepatic Cholangiocarcinoma: A Proof of Concept Study Using Artificial Intelligence for Risk Assessment

2021

Several scoring systems have been devised to objectively predict survival for patients with intrahepatic cholangiocellular carcinoma (ICC) and support treatment stratification, but they have failed external validation. The aim of the present study was to improve prognostication using an artificial intelligence-based approach. We retrospectively identified 417 patients with ICC who were referred to our tertiary care center between 1997 and 2018. Of these, 293 met the inclusion criteria. Established risk factors served as input nodes for an artificial neural network (ANN). We compared the performance of the trained model to the most widely used conventional scoring system, the Fudan score. Pr…

Scoring systemTertiary careArticle03 medical and health sciences0302 clinical medicineintrahepatic cholangiocarcinomaMedicinesurvival predictionIntrahepatic Cholangiocarcinomarisk scoringTraining setFudan scoreArtificial neural networkbusiness.industryRExternal validationGeneral Medicineartificial intelligencemachine learningCholangiocellular carcinoma030220 oncology & carcinogenesisMedicine030211 gastroenterology & hepatologyArtificial intelligencebusinessRisk assessmentartificial neural networkJournal of Clinical Medicine
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