2025
Gut-associated checkpoint as a prognostic biomarker in metastatic renal cell carcinoma (mRCC): Results from a randomized first-line clinical trial.
Saliby R, Machaalani M, Zhong C, Alves Costa Silva C, Labaki C, Saad E, Steiner C, Yekeduz E, Eid M, Daoud Khatoun W, Sun M, Cai T, Braun D, Xu W, Derosa L, Lee G, Xie W, Albiges L, Zitvogel L, Choueiri T. Gut-associated checkpoint as a prognostic biomarker in metastatic renal cell carcinoma (mRCC): Results from a randomized first-line clinical trial. Journal Of Clinical Oncology 2025, 43: 4512-4512. DOI: 10.1200/jco.2025.43.16_suppl.4512.Peer-Reviewed Original ResearchMetastatic renal cell carcinomaProgression-free survivalRestricted cubic splinesSMAdCAM-1Immune checkpoint inhibitorsOverall survivalCox regression modelsGut dysbiosisAssociated with progression-free survivalAnti-cancer immune responseOptimal cut-off valueICI-based therapyIMDC risk groupsRenal cell carcinomaCut-off valueRestricted cubic spline plotsLog-rank statisticsJAVELIN RenalCheckpoint inhibitorsOS ratesOS outcomesCell carcinomaPrognostic valueLuminex assayClinical outcomes
2024
Impact of ultra-high-resolution on cardiac CT assessment of coronary artery stenoses, plaque burden/composition, and pericoronary adipose tissue attenuation
Matuck B, Latina J, Shabani M, Hoballah M, Mattheson M, Ostovaneh A, Abdollahi A, Ebrahimihoor E, Trost J, Mahesh M, Lima J, Arbab-Zadeh A. Impact of ultra-high-resolution on cardiac CT assessment of coronary artery stenoses, plaque burden/composition, and pericoronary adipose tissue attenuation. European Heart Journal 2024, 45: ehae666.207. DOI: 10.1093/eurheartj/ehae666.207.Peer-Reviewed Original ResearchConventional CCTAPericoronary adipose tissue attenuationAdipose tissue attenuationPlaque volumeUHR-CTPericoronary adipose tissue attenuation valuesCoronary artery plaque volumeCoronary Computed Tomography AngiographyHigh-risk plaque featuresHigher coronary calcium scoresFibrous plaque volumeNon-stented patientsInvasive coronary angiographyCoronary calcium scoreAssessment of coronary artery stenosisPlaque compositionCut-off valueTissue attenuationCoronary artery stenosisMinimal lumen areaAIDR 3DObstructive CADCT attenuationAgatston scoreCalcium scoreB-030 Performance evaluation of Siemens Atellica® IM Anti-Müllerian Hormone Assay
Shang E, Agustin H, El-Khoury J, Lee J, Jones J, Scheidegger M, Abou-Diwan C, Rhea-McManus J, Li J. B-030 Performance evaluation of Siemens Atellica® IM Anti-Müllerian Hormone Assay. Clinical Chemistry 2024, 70: hvae106.394. DOI: 10.1093/clinchem/hvae106.394.Peer-Reviewed Original ResearchAMH assayAccess AMH assayOvarian reserveMeasurement of AMHFertility clinicsAMH valuesFertility workupCut-off valueOvarian granulosa cellsReproductive-age womenAMHGranulosa cellsInter-assay coefficients of variationOutpatient evaluationPatient samplesYale New Haven HealthAtellicaOffice visitsInter-assay coefficientsCoefficient of variationAutomated assaySerum samplesGlycoprotein dimerFertilityWomenAssociation Between High-Sensitivity Troponin (hs-cTnT) and Diagnosis of Myocarditis in Previously Healthy Pediatric Patients
Degen M, Leviter J, Bradley A, Karnik R, Ferdman D, McCollum S, Faherty E. Association Between High-Sensitivity Troponin (hs-cTnT) and Diagnosis of Myocarditis in Previously Healthy Pediatric Patients. Pediatric Cardiology 2024, 1-7. PMID: 39126513, DOI: 10.1007/s00246-024-03621-7.Peer-Reviewed Original ResearchDiagnosis of myocarditisPediatric patientsHs-cTnTTroponin levelsCardiac diagnosisHigh-sensitivity troponin THealthy pediatric patientsHigh-sensitivity troponinHs-cTnT groupMedian peak levelSensitivity troponin levelsElevated hs-cTnTCut-off valueInitial troponin levelMyocarditis diagnosisAcute myocarditisTroponin valuesCardiac troponinPediatric populationTroponin TMyocarditisPatientsPeak levelsDiagnosisMyocardial tissuePredicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices
Giuffrè M, Dupont J, Visintin A, Masutti F, Monica F, You K, Shung D, Crocè L. Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices. Hepatology International 2024, 19: 460-471. PMID: 38664292, PMCID: PMC12003444, DOI: 10.1007/s12072-024-10649-7.Peer-Reviewed Original ResearchHigh-risk varicesHepatic venous pressure gradientLiver stiffnessLiver cirrhosisSpleen stiffnessVariceal gradeHeart rateCohort of cirrhotic patientsNon-selective beta-blockersPercentual decreaseAssessed therapeutic responseMultivariate modelVenous pressure gradientCut-off valueOptimal cut-offAssociated with better predictionNSBB treatmentPrimary prophylaxisHemorrhagic episodesCirrhotic patientsTherapeutic responseBeta-blockersNSBBTreatment initiationProspective studyPlasma MERTK Is a Promising Biomarker for the Diagnosis and Prognosis of Hepatitis B Virus–Related Acute-on-Chronic Liver Failure
Lu Y, Xin J, Liang X, Luo J, Li P, Zhou X, Yang H, Li J, Wang Y. Plasma MERTK Is a Promising Biomarker for the Diagnosis and Prognosis of Hepatitis B Virus–Related Acute-on-Chronic Liver Failure. The Journal Of Infectious Diseases 2024, 230: 957-969. PMID: 38373244, DOI: 10.1093/infdis/jiae079.Peer-Reviewed Original ResearchHBV-ACLF patientsChronic hepatitis BAcute-on-chronic liver failureMer tyrosine kinaseHBV-ACLFArea under the receiver operating characteristic curveNormal controlsLiver failureLiver cirrhosisHBV-related acute-on-chronic liver failurePrognosis of HBV-ACLFHepatitis B-related acute-on-chronic liver failureRisk stratification analysesReceiver operating characteristic curveCut-off valueShort-term mortalityPrognostic rolePrognostic significancePrognostic valueHepatitis BPoor prognosisMerTK expressionImmunohistochemistry stainingDiagnostic accuracyDisease progression
2023
Caprini risk assessment model combined with D-dimer to predict the occurrence of deep vein thrombosis and guide intervention after laparoscopic radical resection of colorectal cancer
Zhang W, Sun R, Hu X, Chen Z, Lai C. Caprini risk assessment model combined with D-dimer to predict the occurrence of deep vein thrombosis and guide intervention after laparoscopic radical resection of colorectal cancer. World Journal Of Surgical Oncology 2023, 21: 299. PMID: 37735407, PMCID: PMC10512522, DOI: 10.1186/s12957-023-03183-7.Peer-Reviewed Original ResearchConceptsCaprini risk assessment modelLow-molecular-weight heparinLaparoscopic radical resection of colorectal cancerResection of colorectal cancerRadical resection of colorectal cancerLaparoscopic radical resectionLMWH groupD-dimerDeep vein thrombosisCut-off valueVein thrombosisROC curveColorectal cancerIPC groupClinical data of patientsLow incidence of thrombosisOccurrence of deep vein thrombosisAccurate risk stratificationDecision curve analysisData of patientsColorectal cancer patientsIncidence of thrombosisIncidence of DVTMolecular weight heparinArea under the ROC curve
2020
Differentiation between physiological sport adaptation and hypertrophic cardiomyopathy in highly trained athletes using cardiac magnetic resonance
Czimbalmos C, Nardocci C, Deetjen E, Szabo L, Dohy Z, Toth A, Suhai F, Csecs I, Horvath V, Kiss O, Sydo N, Merkely B, Vago H. Differentiation between physiological sport adaptation and hypertrophic cardiomyopathy in highly trained athletes using cardiac magnetic resonance. European Heart Journal 2020, 41: ehaa946.3119. DOI: 10.1093/ehjci/ehaa946.3119.Peer-Reviewed Original ResearchCardiac magnetic resonance parametersCardiac magnetic resonanceLate gadolinium enhancementDiagnosis of hypertrophic cardiomyopathyHypertrophic cardiomyopathyCut-off valueHCM patientsHealthy athletesPresence of late gadolinium enhancementOptimal cut-off valueCardiac magnetic resonance characteristicsConventional CMR parametersReceiver operating curve analysisDiagnose HCMEnd-diastolic wall thicknessPathological left ventricular hypertrophyOperating Curve analysisGlobal longitudinalGadolinium enhancementLV functionVentricular hypertrophyCMR parametersClinical conundrumHypertrophy patternCurve analysisDiagnostic value of shear wave sonoelastography in differentiation of benign from malignant thyroid nodules
Aghaghazvini L, Maheronnaghsh R, Soltani A, Rouzrokh P, Chavoshi M. Diagnostic value of shear wave sonoelastography in differentiation of benign from malignant thyroid nodules. European Journal Of Radiology 2020, 126: 108926. PMID: 32171916, DOI: 10.1016/j.ejrad.2020.108926.Peer-Reviewed Original ResearchConceptsShear wave elastographyGrade III and IVPredictors of malignancyEfficacy of shear wave elastographyReal-time shear wave elastographyMalignancy risk stratificationMalignant thyroid nodulesCut-off valueUnivariate logistic regressionB-mode featuresCut-off pointShear wave sonoelastographyThyroid nodulesConventional USRisk stratificationGrade IVInternal calcificationMalignant nodulesColor DopplerConventional ultrasonographyDiagnostic valueIII and IVPoor marginsP363 Cardiac magnetic resonance characteristics of patients in the grey zone of hypertrophy
Czimbalmos C, Csecs I, Horvath V, Deetjen E, Nardocci C, Dohy Z, Szabo L, Suhai F, Toth A, Sydo N, Kiss O, Merkely B, Vago H. P363 Cardiac magnetic resonance characteristics of patients in the grey zone of hypertrophy. European Heart Journal - Cardiovascular Imaging 2020, 21 DOI: 10.1093/ehjci/jez319.212.Peer-Reviewed Original ResearchLate gadolinium enhancementCardiac magnetic resonancePresence of late gadolinium enhancementHCM patientsHypertrophic cardiomyopathyInter-observer analysisHealthy athletesGadolinium enhancementCardiac magnetic resonance characteristicsStandard deviation of timeConventional CMR parametersMale HCM patientsEnd-diastolic wall thicknessGlobal strain valuesCut-off valueCharacteristics of patientsGray zoneGlobal longitudinalIntraventricular dyssynchronyHypertrophic segmentsCMR parametersDifferential diagnosisDelayed contrastHCM groupPatient group
2019
P310Differentiation between arrhythmogenic right ventricular cardiomyopathy and athlete's heart using cardiac magnetic resonance based derived parameters and strain analysis
Czimbalmos C, Csecs I, Dohy Z, Toth A, Suhai F, Szabo L, Kiss O, Sydo N, Kovacs A, Lakatos B, Merkely B, Vago H. P310Differentiation between arrhythmogenic right ventricular cardiomyopathy and athlete's heart using cardiac magnetic resonance based derived parameters and strain analysis. European Heart Journal 2019, 40: ehz747.0145. DOI: 10.1093/eurheartj/ehz747.0145.Peer-Reviewed Original ResearchArrhythmogenic right ventricular cardiomyopathyArrhythmogenic right ventricular cardiomyopathy patientsTask Force criteriaRight ventricular cardiomyopathyCMR parametersARVC patientsEjection fractionVentricular cardiomyopathyDiagnostic accuracyRevised task force criteriaAthlete's heartForce criteriaDiagnosing ARVCRegional strain valuesRV global strainRV strain parametersEnd-diastolic volume ratioRight ventricular end-systolicGlobal circumferential strainRV strain rateCardiac magnetic resonanceStroke volume indexVentricular end-systolicT-wave inversionCut-off valueThe CRP/Albumin Ratio Predicts Survival And Monitors Chemotherapeutic Effectiveness In Patients With Advanced Pancreatic Cancer
Fan Z, Fan K, Gong Y, Huang Q, Yang C, Cheng H, Jin K, Ni Q, Yu X, Luo G, Liu C. The CRP/Albumin Ratio Predicts Survival And Monitors Chemotherapeutic Effectiveness In Patients With Advanced Pancreatic Cancer. Cancer Management And Research 2019, 11: 8781-8788. PMID: 31632137, PMCID: PMC6778322, DOI: 10.2147/cmar.s211363.Peer-Reviewed Original ResearchCut-off valueOverall survivalMultivariate analysisPredictor of overall survivalOptimal cut-off valueAdvanced pancreatic cancer patientsPrognostic value of baselineKaplan-Meier survival curvesMonitoring chemotherapeutic effectsAdvanced pancreatic cancerSurvival of patientsNinety-five patientsEfficacy of chemotherapyLog-rank testIndicator of prognosisPancreatic cancer patientsCox proportional hazards modelsEffects of chemotherapyValue of baselineProportional hazards modelMetastatic adenocarcinomaPrimary endpointPrognostic valuePancreatic cancerPredicting SurvivalThe demanding grey zone: Sport indices by cardiac magnetic resonance imaging differentiate hypertrophic cardiomyopathy from athlete’s heart
Czimbalmos C, Csecs I, Toth A, Kiss O, Suhai F, Sydo N, Dohy Z, Apor A, Merkely B, Vago H. The demanding grey zone: Sport indices by cardiac magnetic resonance imaging differentiate hypertrophic cardiomyopathy from athlete’s heart. PLOS ONE 2019, 14: e0211624. PMID: 30763323, PMCID: PMC6375568, DOI: 10.1371/journal.pone.0211624.Peer-Reviewed Original ResearchConceptsCardiac magnetic resonancePathological left ventricular hypertrophyHypertrophic cardiomyopathyVentricular hypertrophySport indexCardiac magnetic resonance imagingEnd-diastolic volume ratioHypertrophic cardiomyopathy patientsLeft ventricular massEnd-diastolic wall thicknessCut-off valueGray zoneMagnetic resonance imagingHCM patientsCardiomyopathy patientsTrained athletesVentricular massPhysiological hypertrophyDiagnostic accuracyAthlete's heartCardiomyopathyHypertrophyMale subgroupResonance imagingEDWT
2018
Cardiac magnetic resonance based deformation imaging: role of feature tracking in athletes with suspected arrhythmogenic right ventricular cardiomyopathy
Czimbalmos C, Csecs I, Dohy Z, Toth A, Suhai F, Müssigbrodt A, Kiss O, Geller L, Merkely B, Vago H. Cardiac magnetic resonance based deformation imaging: role of feature tracking in athletes with suspected arrhythmogenic right ventricular cardiomyopathy. The International Journal Of Cardiovascular Imaging 2018, 35: 529-538. PMID: 30382474, PMCID: PMC6453871, DOI: 10.1007/s10554-018-1478-y.Peer-Reviewed Original ResearchMeSH KeywordsAdultArrhythmogenic Right Ventricular DysplasiaAthletesCardiomegaly, Exercise-InducedCase-Control StudiesDiagnosis, DifferentialFemaleHeart VentriclesHumansImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineMaleMyocardial ContractionPredictive Value of TestsReproducibility of ResultsStroke VolumeVentricular Function, LeftVentricular Function, RightVentricular RemodelingConceptsArrhythmogenic right ventricular cardiomyopathyRV ejection fractionCardiac magnetic resonanceTask Force criteriaRV free wallRight ventricular cardiomyopathyCut-off valueAthlete's heartVentricular cardiomyopathyBalanced steady-state free precession cine imagesRight ventricular (RV) remodelingSuspected arrhythmogenic right ventricular cardiomyopathyDiagnosis of arrhythmogenic right ventricular cardiomyopathySteady-state free precession cine imagesFree wallHealthy athletesRV strain analysisRight ventricular volumesRV dilatationEjection fractionCine imagesVentricular volumeRegional strain analysisTrained athletesMagnetic resonance
2016
Optimize CA19-9 in detecting pancreatic cancer by Lewis and Secretor genotyping
Luo G, Guo M, Jin K, Liu Z, Liu C, Cheng H, Lu Y, Long J, Liu L, Xu J, Ni Q, Yu X. Optimize CA19-9 in detecting pancreatic cancer by Lewis and Secretor genotyping. Pancreatology 2016, 16: 1057-1062. PMID: 27692554, DOI: 10.1016/j.pan.2016.09.013.Peer-Reviewed Original ResearchConceptsDetect pancreatic cancerCut-off valueSensitivity of CA19-9CA19-9Pancreatic cancerEffectiveness of CA19-9Secretor genotypeStaging of pancreatic cancerII pancreatic cancerDetection of stage INegative predictive valueCohort of subjectsCA19Carbohydrate antigenStage IPredictive valueSanger sequencingCancerSecretor statusSecretorEarly detectorGenotypic backgroundGroup
2013
Predictive role of prenasal thickness and nasal bone for Down syndrome in the second trimester
Ozcan T, Özlü T, Allen J, Peterson J, Pressman E. Predictive role of prenasal thickness and nasal bone for Down syndrome in the second trimester. European Journal Of Obstetrics & Gynecology And Reproductive Biology 2013, 171: 220-224. PMID: 24044955, DOI: 10.1016/j.ejogrb.2013.08.039.Peer-Reviewed Original ResearchConceptsPrenasal thicknessNasal boneDown syndromePrediction of Down syndromeReceiver operating curve analysisTrimester ultrasound examinationPredictors of DSArea under the curveCut-off valueOperating Curve analysisGestational ageNormal karyotypeUltrasound examinationFetusesGroup 2Group 1TrimesterCurve analysisPredictive roleDS casesFrontal boneBoneSyndromeAnterior edgePrediction of DSThe potential utility of serum CA 72-4 as a marker for stage IV esophageal adenocarcinoma.
Njei B, Birk J, Vaziri H. The potential utility of serum CA 72-4 as a marker for stage IV esophageal adenocarcinoma. Connecticut Medicine 2013, 77: 141-5. PMID: 23593659.Peer-Reviewed Original ResearchConceptsEsophageal adenocarcinomaCA72-4Clinical stageLikelihood of metastatic diseaseSerum CA72-4Advanced esophageal adenocarcinomaStage IV diseaseCA 72-4Cut-off valueIV diseaseMetastatic diseaseDiagnostic performanceAdenocarcinomaIncidence ratePatientsConsecutive sampleSerumDiseaseMarkersPotential utilityPrognosisEsophagusCancerAUC
2006
Doppler ultrasonographic indices in diagnosing nutcracker syndrome in children
Shin J, Park J, Lee J, Kim M. Doppler ultrasonographic indices in diagnosing nutcracker syndrome in children. Pediatric Nephrology 2006, 22: 409-413. PMID: 17106691, DOI: 10.1007/s00467-006-0319-8.Peer-Reviewed Original ResearchConceptsLeft renal veinNutcracker syndromeCut-off valueControl subjectsDiagnosis of nutcracker syndromeFollow-up Doppler ultrasoundSex-matched normal control subjectsFollow-up USRenal Doppler USNormal control subjectsNon-invasive testsNormal childrenPV ratioMedian periodRenal veinPeak velocityDoppler USHematuriaDoppler ultrasoundUltrasonographic indicesSyndromeUltrasoundChildrenSubjectsCognitive impairment in patients with multiple sclerosis using the Brief Repeatable Battery-Neuropsychology test
Sepulcre J, Vanotti S, Hernández R, Sandoval G, Cáceres F, Garcea O, Villoslada P. Cognitive impairment in patients with multiple sclerosis using the Brief Repeatable Battery-Neuropsychology test. Multiple Sclerosis Journal 2006, 12: 187-195. PMID: 16629422, DOI: 10.1191/1352458506ms1258oa.Peer-Reviewed Original ResearchConceptsSymbol Digit Modalities TestBRB-N testsCognitive impairmentBRB-NHealthy controlsCognitive measuresPhysical disabilityMS patientsMultiple sclerosisModal testingImpairmentBriefIndividual testsCut-off valueDisabilityEducation levelRelapsing MSZ-scoreProgressive MSPatientsMonitoring PatientsIllnessLevel of controlSclerosisStandard deviation
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