6533b81ffe1ef96bd12787f2

RESEARCH PRODUCT

Computational analysis to predict false-lumen perfusion and outcome of type B aortic dissection.

Antonino RinaudoFabrizio FollisSalvatore PastaGerlando PilatoJake J. LeeMichele PilatoGiuseppe D'ancona

subject

Pulmonary and Respiratory Medicinemedicine.medical_specialtyFalse lumenPredictive Value of TestOutcome (game theory)Text miningImaging Three-DimensionalAneurysm DissectingPredictive Value of TestsInternal medicineMedicineHumansComputational analysisHemodynamicAortic Aneurysm Thoracicbusiness.industryType B aortic dissectionHemodynamicsModels CardiovascularSettore ING-IND/34 - Bioingegneria IndustrialeAortic DissectionTreatment OutcomeCardiologyRadiographic Image Interpretation Computer-AssistedSurgeryCardiology and Cardiovascular MedicinebusinessTomography X-Ray ComputedPerfusionHuman

description

We have attempted to identify potential predictors foracute and late aortic events starting from admission computed tomographic images.

yearjournalcountryeditionlanguage
2014-04-17The Journal of thoracic and cardiovascular surgery
10.1016/j.jtcvs.2014.06.065https://pubmed.ncbi.nlm.nih.gov/25109756