2025
Increased diagnostic accuracy and better morphology characterization of unruptured intracranial aneurysm by ultra-high-resolution photon-counting detector CT angiography
He N, Lyu H, Zhang Y, Li R, Xu Z, Haacke E, Cui Y, Li J, Dong H, Han W, Chang R, Hu Z, Zhu C, Yu Z, Lu Y, Jiang H, Yan F. Increased diagnostic accuracy and better morphology characterization of unruptured intracranial aneurysm by ultra-high-resolution photon-counting detector CT angiography. Journal Of NeuroInterventional Surgery 2025, jnis-2025-023094. PMID: 40185624, DOI: 10.1136/jnis-2025-023094.Peer-Reviewed Original ResearchDigital subtraction angiographyUnruptured intracranial aneurysmsPer-aneurysm basisDiagnostic accuracyInter-rater agreementIntracranial aneurysmsIncrease diagnostic accuracyUIA managementCT angiographyProspective studyCerebral vascular diseaseSubtraction angiographyPatient managementWall calcificationPer-vesselAneurysmAngiographyVascular diseaseMorphological evaluationAneurysm irregularityUHRDetect unruptured intracranial aneurysmsUltra-high-resolution (UHRHypointensityReconstructed imagesDiagnosis of cancer therapy-related cardiovascular toxicities: A multimodality integrative approach and future developments
Travers S, Alexandre J, Baldassarre L, Salem J, Mirabel M. Diagnosis of cancer therapy-related cardiovascular toxicities: A multimodality integrative approach and future developments. Archives Of Cardiovascular Diseases 2025, 118: 185-198. PMID: 39947997, DOI: 10.1016/j.acvd.2024.12.012.Peer-Reviewed Original ResearchConceptsCardio-OncologyCardiovascular toxicityCardiovascular imagingMultimodality cardiovascular imagingCancer risk factorsIncrease diagnostic accuracyPrognostic stratificationNatriuretic peptideSerum biomarkersTherapy schemesDiagnostic accuracyCancer therapyRhythm disordersRisk factorsCardiovascular diseaseBiomarkersMultimodal integrated approachCancerOmics approachesToxicityRhythmTherapyTroponinSerumDiagnosis
2024
Early Disease-Modifying Treatments for Presymptomatic Multiple Sclerosis
Zeydan B, Azevedo C, Makhani N, Cohen M, Tutuncu M, Thouvenot E, Siva A, Okuda D, Kantarci O, Lebrun-Frenay C. Early Disease-Modifying Treatments for Presymptomatic Multiple Sclerosis. CNS Drugs 2024, 38: 973-983. PMID: 39285136, PMCID: PMC11560559, DOI: 10.1007/s40263-024-01117-9.Peer-Reviewed Original ResearchRadiologically isolated syndromeRisk factorsLaboratory biomarkersMultiple sclerosisDisease-modifying treatmentsSpinal cordGadolinium-enhancing lesionsEfficacy of disease-modifying treatmentsRandomized clinical trialsIncrease diagnostic accuracyLack of clinical guidelinesSymptomatic MSNeurofilament-light chainCSF abnormalitiesPresymptomatic individualsAdverse eventsMale sexMS criteriaClinical eventsDiagnostic accuracyClinical trialsDisease outcomeClinical guidelinesYounger ageLesionsArtificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases
Retamero J, Gulturk E, Bozkurt A, Liu S, Gorgan M, Moral L, Horton M, Parke A, Malfroid K, Sue J, Rothrock B, Oakley G, DeMuth G, Millar E, Fuchs T, Klimstra D. Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases. The American Journal Of Surgical Pathology 2024, 48: 846-854. PMID: 38809272, PMCID: PMC11191045, DOI: 10.1097/pas.0000000000002248.Peer-Reviewed Original ResearchConceptsLymph node metastasisNode metastasisDetection of lymph node metastasesBreast cancer lymph node metastasisMetastasis detection rateWhole slide imagesBreast cancer stageArtificial intelligenceIncrease diagnostic accuracyReading pathologistsCancer stageDiagnostic accuracyMetastasisCancer metastasisAverage reading timeBreastPathologistsDetection rateAI algorithms
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