2025
Voxel-Wise Map of Intracerebral Hemorrhage Locations Associated With Worse Outcomes
Karam G, Chen M, Zeevi D, Harms B, Berson E, Torres-Lopez V, Rivier C, Malhotra A, Qureshi A, Falcone G, Sheth K, Payabvash S. Voxel-Wise Map of Intracerebral Hemorrhage Locations Associated With Worse Outcomes. Stroke 2025, 56: 868-877. PMID: 40052269, DOI: 10.1161/strokeaha.124.048453.Peer-Reviewed Original ResearchConceptsImpact of intracerebral hemorrhageAssociated with worse outcomesClinical risk factorsVoxel-wise mapsMapping of brain regionsBaseline hematomaVoxel-wise analysisHematoma volumeICH locationBrain regionsValidation cohortWorse outcomesPresence of intraventricular hemorrhageRisk factorsBaseline hematoma volumeModified Rankin Scale scorePoor scan qualityMulticenter clinical trialRankin Scale scoreDeep white matterLow-risk categoryComprehensive stroke centerIntraventricular hemorrhageConsecutive patientsPatient ageA Honduran Prevalence Study on Soil-Transmitted Helminths Highlights Serological Antibodies to Tm-WAP49 as a Diagnostic Marker for Exposure to Human Trichuriasis.
Briggs N, Versteeg L, Mejia R, Pollet J, Villar M, Zhan B, Segal G, Novak S, Lenihan P, Musgrave P, Ellis V, Coello C, Sastry K, Craft J, Hotez P, Bottazzi M. A Honduran Prevalence Study on Soil-Transmitted Helminths Highlights Serological Antibodies to Tm-WAP49 as a Diagnostic Marker for Exposure to Human Trichuriasis. American Journal Of Tropical Medicine And Hygiene 2025 PMID: 39933187, DOI: 10.4269/ajtmh.24-0514.Peer-Reviewed Original ResearchSoil-transmitted helminthsReceiver-operating characteristic analysisSerological assaysFecal examinationDiagnostic toolIndirect ELISAGold standard testRoundworm infectionDiseases of humansRecombinant proteinsValidation cohortScreening cohortActive infectionInfections rankControl seraHuman trichuriasisDiagnostic markerRelationship to chronic diseasesClinical questionsWestern blottingDiagnostic potentialInfectionWhipwormCharacteristic analysisPrevalence studiesPredictors of Right Ventricular Pacing in Patients Undergoing Implantable Defibrillator Placement
Hummel J, Lan Z, Jones P, Khera R, Stein K, Curtis J, Akar J. Predictors of Right Ventricular Pacing in Patients Undergoing Implantable Defibrillator Placement. Journal Of Cardiovascular Electrophysiology 2025 PMID: 39930894, DOI: 10.1111/jce.16570.Peer-Reviewed Original ResearchRV pacingICD implantationCardiac arrestRight ventricular (RV) pacingICD recipientsHistory of syncopeHistory of VTHistory of AFRight ventricular pacingPacing indicationsDefibrillator placementQRS durationValidation cohortICD RegistryVentricular tachycardiaBUN levelsPacing needsClinical indicationsVentricular pacingPatientsStudy populationTransvenous defibrillationDual chamberLogistic regressionSubcutaneous devices
2024
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography
Tran A, Desser D, Zeevi T, Karam G, Zietz J, Dell’Orco A, Chen M, Malhotra A, Qureshi A, Murthy S, Majidi S, Falcone G, Sheth K, Nawabi J, Payabvash S. Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences 2024, 15: 111. PMID: 40046237, PMCID: PMC11882137, DOI: 10.3390/app15010111.Peer-Reviewed Original ResearchIntracerebral hemorrhageHematoma expansionFollow-up CT scansFollow-up head computed tomographyPredictors of poor outcomeDeep learning classification modelFollow-up scansHead computed tomographyFalse-negative resultsHematoma segmentationAutomated segmentationMulticentre cohortCT scanValidation cohortPoor outcomeComputed tomographyFollow-upClassification modelOptimizational methodHematomaAnnotationEnhancing Histology Detection in MASH Cirrhosis for Artificial Intelligence Pathology Platform by Expert Pathologist Training
Goodman Z, Akbary K, Noureddin M, Ren Y, Chng E, Tai D, Boudes P, Garcia‐Tsao G, Harrison S, Chalasani N. Enhancing Histology Detection in MASH Cirrhosis for Artificial Intelligence Pathology Platform by Expert Pathologist Training. Liver International Communications 2024, 5 DOI: 10.1002/lci2.70007.Peer-Reviewed Original ResearchArtificial intelligenceAI modelsPositive predictive valuePathologist annotationsSmooth muscle actinLiver biopsyValidation cohortNodule annotationsPre-trainingRe-trainingHistopathological assessmentPathologist trainingAnnotationAssessment of liver biopsiesImproved accuracySirius RedAlgorithmHistopathological assessment of liver biopsiesExpert hepatopathologistsArtificialMachine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators
Rosman L, Lampert R, Wang K, Gehi A, Dziura J, Salmoirago-Blotcher E, Brandt C, Sears S, Burg M. Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators. Journal Of The American College Of Cardiology 2024, 85: 42-55. PMID: 39570241, DOI: 10.1016/j.jacc.2024.09.006.Peer-Reviewed Original ResearchImplantable cardioverter-defibrillatorYear of device implantationAll-cause mortalityCardiac resynchronization therapyDeath/HF hospitalizationValidation cohortHeart failureDevice implantationTime of ICD implantationArea under the receiver-operating characteristic curveMedian follow-upReceiver-operating characteristic curvePredicting all-cause mortalityImplantable cardioverter-defibrillator patientsVeterans Health AdministrationPersonalized risk estimatesImplantable cardioverter defibrillatorResynchronization therapyBaseline demographicsICD implantationTraining cohortTrajectories of individual patientsProspective studyComposite outcomeContinuum of riskExternal Validation of an Electronic Health Record-Based Diagnostic Model for Histological Acute Tubulointerstitial Nephritis.
Moledina D, Shelton K, Menez S, Aklilu A, Yamamoto Y, Kadhim B, Shaw M, Kent C, Makhijani A, Hu D, Simonov M, O'Connor K, Bitzel J, Thiessen-Philbrook H, Wilson F, Parikh C. External Validation of an Electronic Health Record-Based Diagnostic Model for Histological Acute Tubulointerstitial Nephritis. Journal Of The American Society Of Nephrology 2024 PMID: 39500309, DOI: 10.1681/asn.0000000556.Peer-Reviewed Original ResearchJohns Hopkins HospitalAcute tubulointerstitial nephritisValidation cohortKidney biopsyTubulointerstitial nephritisDiagnosis of acute tubulointerstitial nephritisProportion of biopsiesElectronic health recordsAnalyzed patientsDevelopment cohortBaseline prevalenceAccurate diagnosisBiopsyCohortHealth recordsClinician's abilityDiagnostic modelPotential predictorsNephritisAssess discriminationKidneyAUCGenomic Determinants of Clinical Outcomes in Multiple Myeloma with t(11;14)(CCND1;IGH) Treated with Venetoclax
Kaddoura M, Wiedmeier-Nutor J, Gupta V, Ziccheddu B, Shivaram S, Tang H, Fonseca R, Durante M, Matulis S, Jelinek T, Landgren O, Mitsiades C, Bergsagel P, Braggio E, Boise L, Fonseca R, Kumar S, Maura F, Baughn L. Genomic Determinants of Clinical Outcomes in Multiple Myeloma with t(11;14)(CCND1;IGH) Treated with Venetoclax. Blood 2024, 144: 249. DOI: 10.1182/blood-2024-204071.Peer-Reviewed Original ResearchProgression free survivalSingle nucleotide variantsWhole-genome sequencingMultiple myelomaMM patientsFocal deletionsCopy number variantsMechanisms of resistanceTraining cohortValidation cohortChronic lymphocytic leukemia treated with venetoclaxDisease progressionMAPK pathwayMedian progression free survivalPopulation of MM patientsDeterminants of clinical outcomeAnti-CD38 agentsTreated with venetoclaxComprehensive genomic profilingMAPK pathway mutationsStructural variantsAcute myeloid leukemiaGenomic eventsLoss of NoxaNovel drug combinationsBCAM (basal cell adhesion molecule) protein expression in different tumor populations
Burela S, He M, Trontzas I, Gavrielatou N, Schalper K, Langermann S, Flies D, Rimm D, Aung T. BCAM (basal cell adhesion molecule) protein expression in different tumor populations. Discover Oncology 2024, 15: 381. PMID: 39207605, PMCID: PMC11362396, DOI: 10.1007/s12672-024-01244-1.Peer-Reviewed Original ResearchPD-L1 expressionBasal cell adhesion moleculePD-L1Quantitative immunofluorescenceAssociated with better OSPD-L1 protein expressionCancer typesBladder urothelial tumorsProtein expressionMultiple immune checkpointsHead and neckMultiple tumor typesEvidence of hypermethylationImmune checkpointsImmunotherapy responseCell adhesion moleculesTumor typesValidation cohortTumor populationCancer patientsTumorPredictive valueAdhesion moleculesNovel biomarkersWidespread expressionGut microbiome profiles to exclude the diagnosis of hepatic encephalopathy in patients with cirrhosis
Bajaj J, O’Leary J, Jakab S, Fagan A, Sikaroodi M, Gillevet P. Gut microbiome profiles to exclude the diagnosis of hepatic encephalopathy in patients with cirrhosis. Gut Microbes 2024, 16: 2392880. PMID: 39189586, PMCID: PMC11352695, DOI: 10.1080/19490976.2024.2392880.Peer-Reviewed Original ResearchConceptsGut microbiome profilesHepatic encephalopathyGut microbiota testMicrobial speciesMicrobiome profilesTraining cohortValidation cohortHE diagnosisStool microbiotaMulticenter prospective cohortDiagnosis of hepatic encephalopathyMulticenter validation cohortNeuropsychological testsNanopore analysisSemi-quantitative questionnaireGutStandard neuropsychological testsProspective cohortIdentified patientsPatientsGold standardCohortDisease processCognitive complaintsDiagnosisSystematic identification of minor histocompatibility antigens predicts outcomes of allogeneic hematopoietic cell transplantation
Cieri N, Hookeri N, Stromhaug K, Li L, Keating J, Díaz-Fernández P, Gómez-García de Soria V, Stevens J, Kfuri-Rubens R, Shao Y, Kooshesh K, Powell K, Ji H, Hernandez G, Abelin J, Klaeger S, Forman C, Clauser K, Sarkizova S, Braun D, Penter L, Kim H, Lane W, Oliveira G, Kean L, Li S, Livak K, Carr S, Keskin D, Muñoz-Calleja C, Ho V, Ritz J, Soiffer R, Neuberg D, Stewart C, Getz G, Wu C. Systematic identification of minor histocompatibility antigens predicts outcomes of allogeneic hematopoietic cell transplantation. Nature Biotechnology 2024, 1-12. PMID: 39169264, PMCID: PMC11912513, DOI: 10.1038/s41587-024-02348-3.Peer-Reviewed Original ResearchAllogeneic hematopoietic cell transplantationHematopoietic cell transplantationCell transplantationEffect of allogeneic hematopoietic cell transplantationIdentification of minor histocompatibility antigensOutcomes of allogeneic hematopoietic cell transplantationOccurrence of acute GVHDPost-transplant disease recurrenceGraft-versus-host diseaseWhole-exome sequencing of germline DNASequencing of germline DNAGraft-versus-leukemiaT-cell alloreactivityGraft-versus-hostMinor histocompatibility antigensWhole-exome sequencingAcute GVHDPulmonary GVHDAllo-HCTDisease recurrenceHistocompatibility antigensClinical outcomesValidation cohortGermline DNAGVHDA Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms.
Pareja F, Dopeso H, Wang Y, Gazzo A, Brown D, Banerjee M, Selenica P, Bernhard J, Derakhshan F, da Silva E, Colon-Cartagena L, Basili T, Marra A, Sue J, Ye Q, Da Cruz Paula A, Yeni Yildirim S, Pei X, Safonov A, Green H, Gill K, Zhu Y, Lee M, Godrich R, Casson A, Weigelt B, Riaz N, Wen H, Brogi E, Mandelker D, Hanna M, Kunz J, Rothrock B, Chandarlapaty S, Kanan C, Oakley J, Klimstra D, Fuchs T, Reis-Filho J. A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms. Cancer Research 2024, 84: 3478-3489. PMID: 39106449, PMCID: PMC11479818, DOI: 10.1158/0008-5472.can-24-1322.Peer-Reviewed Original ResearchConceptsInvasive lobular carcinomaBiallelic mutationsGenetic alterationsDiagnosing ILCGenotypic-phenotypic correlationsAI modelsBiological discoveryFusion geneCancer diagnosisCDH1Artificial intelligenceWhole-slide imagesInactivation mechanismLobular carcinomaMutationsHistological whole-slide imagesHistopathological featuresValidation cohortHistological featuresBreast neoplasmsHistological ground truthImprove cancer diagnosisRisk of new‐onset diabetes and efficacy of pharmacological weight loss therapy
Moura F, Bellavia A, Berg D, Melloni G, Feinberg M, Leiter L, Bohula E, Morrow D, Scirica B, Wiviott S, Sabatine M. Risk of new‐onset diabetes and efficacy of pharmacological weight loss therapy. Diabetes Obesity And Metabolism 2024, 26: 4441-4449. PMID: 39056220, PMCID: PMC11410501, DOI: 10.1111/dom.15798.Peer-Reviewed Original ResearchNew-onset diabetesRisk of new-onset diabetesClinical risk modelWeight loss therapyRisk groupsWeight loss pharmacotherapyMultivariate Cox regressionStable cardiovascular patientsTherapeutic decision makingAbsolute risk reductionHigh-risk groupType 2 diabetesIndependent predictorsValidation cohortFollow-upPersonalized patient careCox regressionHazard ratioPrimary outcomeRisk modelHigh riskInterquartile rangePatientsDiabetesCardiovascular patientsFaecal proteomics links neutrophil degranulation with mortality in patients with alcohol-associated hepatitis
Kreimeyer H, Gonzalez C, Fondevila M, Hsu C, Hartmann P, Zhang X, Stärkel P, Bosques-Padilla F, Verna E, Abraldes J, Brown R, Vargas V, Altamirano J, Caballería J, Shawcross D, Louvet A, Lucey M, Mathurin P, Garcia-Tsao G, Bataller R, Investigators A, Gonzalez D, Schnabl B. Faecal proteomics links neutrophil degranulation with mortality in patients with alcohol-associated hepatitis. Gut 2024, 74: 103-115. PMID: 39033024, PMCID: PMC11631684, DOI: 10.1136/gutjnl-2024-332730.Peer-Reviewed Original ResearchAlcohol-associated hepatitisShort-term survivalMulticentre cohortSeverity of ALDAlcohol-associated liver diseaseIndependent validation cohortInduce gut dysbiosisNon-invasive markerAlcohol-use disordersNeutrophil degranulationPrediction of short-term survivalPrognostic effectHepatic neutrophilsValidation cohortBacterial translocationNeutrophil granulesMPO levelsLiver diseaseFecal biomarkersTandem mass tagPatientsGut dysbiosisLiver damageDisease severityNeutrophilsA nomogram combining neutrophil to lymphocyte ratio (NLR) and prognostic nutritional index (PNI) to predict distant metastasis in gastric cancer
Liu J, Sun R, Cai K, Xu Y, Yuan W. A nomogram combining neutrophil to lymphocyte ratio (NLR) and prognostic nutritional index (PNI) to predict distant metastasis in gastric cancer. Scientific Reports 2024, 14: 15391. PMID: 38965325, PMCID: PMC11224267, DOI: 10.1038/s41598-024-65307-7.Peer-Reviewed Original ResearchConceptsNeutrophil-to-lymphocyte ratioPrognostic nutritional indexPlatelet-to-lymphocyte ratioSystemic immune-inflammatory indexLymphocyte to monocyte ratioMultivariate logistic regression analysisDistant metastasisLogistic regression analysisLymphocyte ratioReceiver operating characteristicGastric cancerValidation cohortPredictive factorsRisk factors of distant metastasisDistant metastasis of gastric cancerNutritional indexImmune-inflammatory indexClinical practiceNomogram's predictive performanceDecision curve analysisGastric cancer patientsMetastasis of gastric cancerEfficient nomogramRegression analysisMonocyte ratioHypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma
Yang Z, Chen Q, Dong S, Xu P, Zheng W, Mao Z, Qian C, Zheng X, Dai L, Wang C, Shi H, Li J, Yuan J, Yu W, Xu C. Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma. Journal Of Translational Medicine 2024, 22: 608. PMID: 38956589, PMCID: PMC11218302, DOI: 10.1186/s12967-024-05420-3.Peer-Reviewed Original ResearchConceptsRecurrence monitoringMethodsThe methylation levelsIndicator of recurrenceBackgroundUrothelial carcinomaClinical recurrenceUrothelial carcinomaBenign diseaseUrological malignanciesPostoperative surveillanceUC diagnosisUC patientsTraining cohortUrothelial markersValidation cohortRecurrenceClinical scenariosUrinary systemClinical utilityCarcinomaMethylation markersPatientsUrine samplesTissue samplesUrineDiagnosisAutomated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion
Mak A, Matouk C, Avery E, Behland J, Haider S, Frey D, Madai V, Vajkoczy P, Griessenauer C, Zand R, Hendrix P, Abedi V, Sanelli P, Falcone G, Petersen N, Sansing L, Sheth K, Payabvash S, Malhotra A. Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion. PLOS ONE 2024, 19: e0304962. PMID: 38870240, PMCID: PMC11175522, DOI: 10.1371/journal.pone.0304962.Peer-Reviewed Original ResearchConceptsDiffusion-weighted imagingLarge vessel occlusionIrreversible ischemic changesPoor functional outcomeFunctional outcomesIschemic changesInfarct volumeAlberta Stroke Program Early CT ScorePredicting poor functional outcomeVessel occlusionFollow-up diffusion-weighted imagingAnterior circulation LVO strokeCTA source imagesReceiver operating characteristic curveExpert human readersPredicting final infarctionASPECTS regionsAdmission CTANon-inferior performanceBaseline CTACT scoreFinal infarctEndovascular therapyHU attenuationValidation cohortHigh-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC)
Moutafi M, Bates K, Aung T, Milian R, Xirou V, Vathiotis I, Gavrielatou N, Angelakis A, Schalper K, Salichos L, Rimm D. High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC). Journal For ImmunoTherapy Of Cancer 2024, 12: e009039. PMID: 38857914, PMCID: PMC11168162, DOI: 10.1136/jitc-2024-009039.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsProgrammed cell death protein 1Associated with OSCell lung cancerTissue microarray spotsTissue microarrayValidation cohortLung cancerNon-small cell lung cancer treated with immune checkpoint inhibitorsAssociated with resistance to immunotherapyCell death protein 1Resistance to immunotherapyAssociated with PFSProgression-free survivalSecreted frizzled-related protein 2Cox proportional-hazards model analysisCheckpoint inhibitorsImmunotherapy strategiesTumor compartmentsRetrospective cohortDiscovery cohortLong-term benefitsPatientsCD68Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma.
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis I, Yaghoobi V, Kluger H, Gerstein M, Rimm D. Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma. Clinical Cancer Research 2024, 30: 3520-3532. PMID: 38837895, PMCID: PMC11326985, DOI: 10.1158/1078-0432.ccr-23-3932.Peer-Reviewed Original ResearchGene signatureResistance to immunotherapyResponse to immunotherapyPrediction of treatment outcomeResistant to treatmentAccurate prediction of treatment outcomePredictive of responseImmunotherapy outcomesMelanoma patientsMelanoma specimensValidation cohortPatient stratificationDiscovery cohortTreatment outcomesImmunotherapyMelanomaTumorPatientsCohortS100BOutcomesGene expression dataGenesCD68+macrophagesExpression dataHematuria Cancer Risk Score with Ultrasound Informs Cystoscopy Use in Patients with Hematuria
Tan W, Ahmad A, Zhou Y, Nathan A, Ogunbo A, Gbolahan O, Kallam N, Smith R, Khalifeh M, Tan W, Cohen D, Volanis D, Walter F, Sasieni P, Kamat A, Kelly J. Hematuria Cancer Risk Score with Ultrasound Informs Cystoscopy Use in Patients with Hematuria. European Urology Oncology 2024, 8: 87-93. PMID: 38811250, DOI: 10.1016/j.euo.2024.05.005.Peer-Reviewed Original ResearchCancer risk scoreRenal bladder ultrasoundTa bladder cancerUrinary tract cancerRisk scoreValidation cohortBladder cancerHealth care cost savingsBladder ultrasoundDiagnosis of urinary tract cancerInvasive proceduresDevelopment cohortIdentification of cancerSuspicion of bladder cancerSecondary careIndependent validation cohortReceiver operating characteristic curveUK hospitalsArea under the receiver operating characteristic curveOutcome measuresTriage of patientsConsecutive patientsPatient cohortCystoscopyHematuria
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