Evidence map›Paper›PMID 39392215›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Implementation and validation of face de-identification (de-facing) in ADNI4.

Christopher G Schwarz, Mark Choe, Stephanie Rossi, Sandhitsu R Das, Ranjit Ittyerah, Evan Fletcher, Pauline Maillard, Baljeet Singh, Danielle J Harvey, Ian B Malone and 15 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Implementation and validation of face de-identification (de-facing) in ADNI4.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Mark ChoeNorthern California Institute for Research and Education, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.
Stephanie RossiDepartment of Radiology, University of California, San Francisco, San Francisco, California, USA.
Sandhitsu R DasDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ranjit IttyerahDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Evan FletcherDepartment of Neurology, University of California, Davis, Davis, California, USA.
Pauline MaillardDepartment of Neurology, University of California, Davis, Davis, California, USA.
Baljeet SinghDepartment of Neurology, University of California, Davis, Davis, California, USA.
Danielle J HarveyDivision of Biostatistics Department of Public Health Sciences, , University of California, Davis, Davis, California, USA.
Ian B MaloneDementia Research Centre, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK.
Lloyd ProsserDementia Research Centre, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK.
Matthew L SenjemDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Leonard C MatoushDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Chadwick P WardDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Carl M PrakaashanaDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Susan M LandauHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.
Robert A KoeppeDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
JiaQie LeeHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.
Charles DeCarliDepartment of Neurology, University of California, Davis, Davis, California, USA.
Michael W WeinerDepartment of Radiology, University of California, San Francisco, San Francisco, California, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
William J JagustHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.
Paul A YushkevichDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Duygu TosunNorthern California Institute for Research and Education, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI CLIFFORD R. JACK · 2016 to 2026
$226.7M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli, Rachel A Whitmer · 2021 to 2026
$25.2M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
A harmonized medial temporal lobe subregion segmentation protocol: an essential element for dementia researchR01AG070592 · NIA · WAYNE STATE UNIVERSITY · PI Ana Marie Daugherty, Rosanna Kathleen Olsen · 2022 to 2026
$3.5M
Protecting the Confidentiality of Participants in Studies of Alzheimer's Disease and Related Dementias by Replacing Face Imagery in MRIR01AG068206 · NIA · MAYO CLINIC ROCHESTER · PI SCHWARZ, CHRISTOPHER GEORGE · 2021 to 2024
$3.2M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
NIA NIH HHS P30 AG072972NIA NIH HHS P30 AG072979NIA NIH HHS P30AG072979NIA NIH HHS R01 AG068206NIA NIH HHS R01AG068206NIA NIH HHS R01 AG070592NIA NIH HHS R01AG070592NIA NIH HHS R01AG474069NIA NIH HHS RF1 AG056014NIA NIH HHS RF1AG056014NIA NIH HHS U19 AG024904
6 · The paper itself

Abstract

introductionRecent technological advances have increased the risk that de-identified brain images could be re-identified from face imagery. The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a leading source of publicly available de-identified brain imaging, who quickly acted to protect participants' privacy.

methodsAn independent expert committee evaluated 11 face-deidentification ("de-facing") methods and selected four for formal testing.

resultsEffects of de-facing on brain measurements were comparable across methods and sufficiently small to recommend de-facing in ADNI. The committee ultimately recommended mri_reface for advantages in reliability, and for some practical considerations. ADNI leadership approved the committee's recommendation, beginning in ADNI4. DISCUSSION: ADNI4 de-faces all applicable brain images before subsequent pre-processing, analyses, and public release. Trained analysts inspect de-faced images to confirm complete face removal and complete non-modification of brain. This paper details the history of the algorithm selection process and extensive validation, then describes the production workflows for de-facing in ADNI. HIGHLIGHTS: ADNI is implementing "de-facing" of MRI and PET beginning in ADNI4. "De-facing" alters face imagery in brain images to help protect privacy. Four algorithms were extensively compared for ADNI and mri_reface was chosen. Validation confirms mri_reface is robust and effective for ADNI sequences. Validation confirms mri_reface negligibly affects ADNI brain measurements.

Indexed as

Alzheimer DiseaseBrainMagnetic Resonance ImagingNeuroimagingAlgorithmsFaceHumansReproducibility of ResultsADNIanonymizationde‐facingde‐identificationface recognition

Identifiers

PMID39392215
PMCPMC11567833

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.