Quantification of Tc-99m-ethyl cysteinate dimer brain single photon emission computed tomography images using statistical probabilistic brain atlas in depressive end-stage renal disease patients Correlation with disease severity and symptom factors]

Thisstudyadaptedastatisticalprobabilisticanatomicalmapofthebrainforsinglephotonemissioncomputedtomographyimagesofdepressiveend-stagerenaldiseasepatients.Thisresearchaimedtoinvestigatetherelationshipbetweensymptomclusters,diseaseseverity,andcerebralbloodflow.Twenty-sevenpatients(16males,11females)withstages4and5end-stagerenaldiseasewereenrolled,alongwith25healthycontrols.Allpatientsunderwentdepressivemoodassessmentandbrainsinglephotonemissioncomputedtomography.Thestatisticalprobabilisticanatomicalmapimageswereusedtocalculatethebrainsinglephotonemissioncomputedtomographycounts.AsymmetricindexwasacquiredandPearsoncorrelationanalysiswasperformedtoanalyzethecorrelationbetweensymptomfactors,severity,andregionalcerebralbloodflow.ThedepressionfactorsoftheHamiltonDepressionRatingScaleshowedanegativecorrelationwithcerebralbloodflowintheleftamygdale.Theinsomniafactorshowednegativecorrelationswithcerebralbloodflowintheleftamygdala,rightsuperiorfrontalgyrus,rightmiddlefrontalgyrus,andleftmiddlefrontalgyrus.Theanxietyfactorshowedapositivecorrelationwithcerebralglucosemetabolisminthecerebellarvermisandanegativecorrelationwithcerebralglucosemetabolismintheleftglobuspallidus,rightinferiorfrontalgyrus,bothtemporalpoles,andleftparahippocampus.Theoveralldepressionseverity(totalscoresofHamiltonDepressionRatingScale)wasnegativelycorrelatedwiththestatisticalprobabilisticanatomicalmapresultsintheleftamygdalaandrightinferiorfrontalgyrus.Inconclusion,ourresultsdemonstratedthatthediseaseseverityandextentofcerebralbloodflowquantifiedbyaprobabilisticbrainatlaswasrelatedtovariousbrainareasintermsoftheoverallseverityandsymptomfactorsinend-stagerenaldiseasepatients.