0000000000116844

AUTHOR

Marina Boccardi

showing 7 related works from this author

Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project

2015

Abstract Background A globally harmonized protocol (HarP) for manual hippocampal segmentation based on magnetic resonance has been recently developed by a task force from European Alzheimer's Disease Consortium (EADC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Our aim was to produce benchmark labels based on the HarP for manual segmentation. Methods Five experts of manual hippocampal segmentation underwent specific training on the HarP and segmented 40 right and left hippocampi from 10 ADNI subjects on both 1.5 T and 3 T scans. An independent expert visually checked segmentations for compliance with the HarP. Descriptive measures of agreement between tracers were intraclass cor…

MaleInservice TrainingEpidemiologyIntraclass correlationNeuroimagingHippocampusCellular and Molecular Neuroscienceddc:616.89Imaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingSimilarity (network science)Alzheimer DiseasemedicineImage Processing Computer-AssistedHumansSegmentationCognitive DysfunctionHARPAgedAged 80 and overmedicine.diagnostic_testbusiness.industryHealth PolicyReproducibility of ResultsMagnetic resonance imagingPattern recognitionOrgan SizeMagnetic Resonance ImagingConfidence intervalPsychiatry and Mental healthBenchmark (computing)FemaleNeurology (clinical)Artificial intelligenceGeriatrics and GerontologyAtrophybusinessPsychologyNeuroscience
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Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol

2015

Abstract Background The European Alzheimer's Disease Consortium and Alzheimer's Disease Neuroimaging Initiative (ADNI) Harmonized Protocol (HarP) is a Delphi definition of manual hippocampal segmentation from magnetic resonance imaging (MRI) that can be used as the standard of truth to train new tracers, and to validate automated segmentation algorithms. Training requires large and representative data sets of segmented hippocampi. This work aims to produce a set of HarP labels for the proper training and certification of tracers and algorithms. Methods Sixty-eight 1.5 T and 67 3 T volumetric structural ADNI scans from different subjects, balanced by age, medial temporal atrophy, and scanner…

MaleEpidemiologyIntraclass correlationpathology [Cognitive Dysfunction]methods [Pattern Recognition Automated]Hippocampal formationHippocampusFunctional LateralityPattern Recognition Automatedpathology [Alzheimer Disease]ddc:616.89methods [Magnetic Resonance Imaging]methods [Image Processing Computer-Assisted]Image Processing Computer-AssistedSegmentationHARPAged 80 and overmedicine.diagnostic_testHealth PolicyOrgan SizeMiddle AgedMagnetic Resonance Imaginginstrumentation [Magnetic Resonance Imaging]Temporal LobePsychiatry and Mental healthFemalePsychologymethods [Neuroimaging]Algorithmsmethods [Imaging Three-Dimensional]anatomy & histology [Hippocampus]educationNeuroimagingTemporal lobeCellular and Molecular NeuroscienceImaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingAlzheimer DiseasemedicineHumansCognitive Dysfunctionddc:610AgedProtocol (science)business.industryReproducibility of ResultsMagnetic resonance imagingpathology [Temporal Lobe]pathology [Hippocampus]Neurology (clinical)Geriatrics and GerontologyAtrophyNuclear medicinebusinessNeuroscience
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P1-238: ITALIAN CONSENSUS RECOMMENDATIONS FOR THE ETIOLOGICAL DIAGNOSIS IN MEMORY CLINICS

2019

Psychiatry and Mental healthCellular and Molecular Neurosciencemedicine.medical_specialtyDevelopmental NeuroscienceEpidemiologybusiness.industryHealth PolicyFamily medicineEtiologyMedicineNeurology (clinical)Geriatrics and GerontologybusinessAlzheimer's & Dementia
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Manual segmentation qualification platform for the EADC-ADNI harmonized protocol for hippocampal segmentation project

2015

The use of hippocampal volumetry as a biomarker for Alzheimer's disease (AD) requires that tracers from different laboratories comply with the same segmentation method. Here we present a platform for training and qualifying new tracers to perform the manual segmentation of the hippocampus on magnetic resonance images (MRI) following the European Alzheimer's Disease Consortium and Alzheimer's Disease Neuroimaging Initiative (EADC-ADNI) Harmonized Protocol (HarP). Our objective was to demonstrate that the training process embedded in the platform leads to increased compliance and qualification with the HarP.Thirteen new tracers' segmentations were compared with benchmark images with respect t…

Pathologymedicine.medical_specialtyInservice TrainingJaccard indexEpidemiologyComputer scienceHippocampusCellular and Molecular Neuroscienceddc:616.89Imaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingAlzheimer DiseaseImage Processing Computer-AssistedmedicineHumansCognitive DysfunctionSegmentationStatistical hypothesis testingHARPProtocol (science)business.industryHealth PolicyReproducibility of ResultsPattern recognitionOrgan SizeMagnetic Resonance ImagingHippocampal segmentationPsychiatry and Mental healthManual segmentationNeurology (clinical)Artificial intelligenceGeriatrics and Gerontologybusiness
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Reference standard space hippocampus labels according to the European Alzheimer's Disease Consortium–Alzheimer's Disease Neuroimaging Initiative harm…

2017

Abstract Introduction A harmonized protocol (HarP) for manual hippocampal segmentation on magnetic resonance imaging (MRI) has recently been developed by an international European Alzheimer's Disease Consortium–Alzheimer's Disease Neuroimaging Initiative project. We aimed at providing consensual certified HarP hippocampal labels in Montreal Neurological Institute (MNI) standard space to serve as reference in automated image analyses. Methods Manual HarP tracings on the high-resolution MNI152 standard space template of four expert certified HarP tracers were combined to obtain consensual bilateral hippocampus labels. Utility and validity of these reference labels is demonstrated in a simple …

Magnetic Resonance Imaging/methods/standardsMaleJaccard indexEpidemiologyComputer sciencemethods [Pattern Recognition Automated]Image ProcessingAutomated/methods/standardsHippocampusPattern Recognition Automatedddc:616.89methods [Magnetic Resonance Imaging]0302 clinical medicinemethods [Image Processing Computer-Assisted]Image Processing Computer-AssistedComputer-Assisted/methods/standardsHARPdiagnostic imaging [Hippocampus]Health Policy05 social sciencesOrgan SizeReference StandardsMagnetic Resonance ImagingHippocampal segmentationstandards [Image Processing Computer-Assisted]Psychiatry and Mental healthNeuroimaging/methods/standardsFemalemethods [Neuroimaging]Hippocampus/diagnostic imagingAlzheimer's Disease Neuroimaging InitiativeAlzheimer Disease/diagnostic imagingNeuroimagingPattern Recognition050105 experimental psychology03 medical and health sciencesCellular and Molecular NeuroscienceDevelopmental NeuroscienceNeuroimagingAlzheimer DiseaseHumans0501 psychology and cognitive sciencesddc:610Reference standardsAgedProtocol (science)standards [Magnetic Resonance Imaging]business.industryPattern recognitionGold standard (test)Neurology (clinical)Artificial intelligenceGeriatrics and Gerontologybusinessdiagnostic imaging [Alzheimer Disease]standards [Pattern Recognition Automated]Neurosciencestandards [Neuroimaging]030217 neurology & neurosurgeryAlzheimer's & Dementia
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The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance : Evidence of validity

2014

BackgroundAn international Delphi panel has defined a harmonized protocol (HarP) for the manual segmentation of the hippocampus on MR. The aim of this study is to study the concurrent validity of the HarP toward local protocols, and its major sources of variance.MethodsFourteen tracers segmented 10 Alzheimer's Disease Neuroimaging Initiative (ADNI) cases scanned at 1.5 T and 3T following local protocols, qualified for segmentation based on the HarP through a standard web-platform and resegmented following the HarP. The five most accurate tracers followed the HarP to segment 15 ADNI cases acquired at three time points on both 1.5 T and 3T.ResultsThe agreement among tracers was relatively low…

MalePathologyDiagnostic criteriaEpidemiologyImage Processinggenetics [Alzheimer Disease]HippocampusFunctional LateralityImagingpathology [Alzheimer Disease]ddc:616.89methods [Magnetic Resonance Imaging]Computer-AssistedClinical trialsddc:150methods [Image Processing Computer-Assisted]ValidationImage Processing Computer-AssistedSegmentationHARPmedicine.diagnostic_testHealth PolicyOrgan SizeAlzheimer's diseaseMiddle Agedinstrumentation [Magnetic Resonance Imaging]Manual segmentationMagnetic Resonance ImagingPsychiatry and Mental healthMagnetic resonanceBiomedical ImagingManual segmentationFemalemethods [Neuroimaging]methods [Imaging Three-Dimensional]EADC-ADNI Working Group on The Harmonized Protocol for Manual Hippocampal Volumetry and for the Alzheimer's Disease Neuroimaging Initiativemedicine.medical_specialtyHippocampal volumetry; Magnetic resonance; Alzheimer's disease; Biomarkers; Diagnostic criteria; Enrichment; Clinical trials; Validation; Harmonized protocol; Standard operating procedures; Manual segmentationConcurrent validityClinical SciencesHarmonized protocolNeuroimagingArticleHippocampal volumetryCellular and Molecular NeuroscienceImaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingClinical ResearchAlzheimer DiseasemedicineHumansddc:610AgedProtocol (science)ReproducibilityInternetbusiness.industryNeurosciencesReproducibility of ResultsMagnetic resonance imagingBrain DisordersStandard operating procedurespathology [Hippocampus]EnrichmentGeriatricsThree-DimensionalNeurology (clinical)Geriatrics and GerontologyAtrophyNuclear medicinebusinessBiomarkers
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Italian consensus recommendations for a biomarker‐based aetiological diagnosis in mild cognitive impairment patients

2019

Background and purpose: Biomarkers support the aetiological diagnosis of neurocognitive disorders in vivo. Incomplete evidence is available to drive clinical decisions; available diagnostic algorithms are generic and not very helpful in clinical practice. The aim was to develop a biomarker-based diagnostic algorithm for mild cognitive impairment patients, leveraging on knowledge from recognized national experts. Methods: With a Delphi procedure, experienced clinicians making variable use of biomarkers in clinical practice and representing five Italian scientific societies (neurology – Società Italiana di Neurologia per le Demenze; neuroradiology – Associazione Italiana di Neuroradiologia; b…

Pediatricsmedicine.medical_specialtyNeurologyConsensusdiagnosisbiomarker-based diagnosis03 medical and health sciences0302 clinical medicineAlzheimer DiseasemedicineHumansCognitive Dysfunction030212 general & internal medicineimplementationNeuroradiologybiomarker-based diagnosiconsensus recommendationDementia with Lewy bodiesbusiness.industryParkinsonismBrainFrontotemporal lobar degenerationmedicine.diseaseMagnetic Resonance Imagingdiagnostic algorithmMCIdiagnosiconsensus recommendationsNeurologyItalymultiple biomarkersPositron-Emission TomographyEtiologyBiomarker (medicine)biomarkerNeurology (clinical)businessNeurocognitiveAlzheimer’s disease030217 neurology & neurosurgeryBiomarkersAlzheimer’s disease; biomarker; biomarker-based diagnosis; consensus recommendations; diagnosis; diagnostic algorithm; implementation; MCI; multiple biomarkers
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