ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2023
Facial Anonymization and Privacy Concerns in Total-Body PET/CT.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Sharing a whole-/total-body [Scientific data · 2026Article
- PET rapid image reconstruction challenge (PETRIC).Frontiers in nuclear medicine · 2026Article
- Pixel Tampering: Does Face Redaction Harm Medical AI Performance?Journal of imaging informatics in medicine · 2025Article
- Development of a defacing algorithm to protect the privacy of head and neck cancer patients in publicly-accessible radiotherapy datasets.Medical physics · 2025Article
- Manual and automated facial de-identification techniques for patient imaging with preservation of sinonasal anatomy.International journal of computer assisted radiology and surgery · 2025Article
- Computer vision-based personal identification using 2D maximum intensity projection CT images.European radiology · 2025Article
- Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations: an ENHANCE.PET initiative.Research square · 2025Article
- Total Body PET/CT: Future Aspects.Seminars in nuclear medicine · 2025Review
- Deep learning-based defacing tool for CT angiography: CTA-DEFACE.European radiology experimental · 2024Article
- Exploring de-anonymization risks in PET imaging: Insights from a comprehensive analysis of 853 patient scans.Scientific data · 2024Article
- Cloud-based serverless computing enables accelerated monte carlo simulations for nuclear medicine imaging.Biomedical physics & engineering express · 2024Article
- Performance and application of the total-body PET/CT scanner: a literature review.EJNMMI research · 2024Review
- Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing.Frontiers in neuroinformatics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Total-body PET/CT images can be rendered to produce images of a subject's face and body. In response to privacy and identifiability concerns when sharing data, we have developed and validated a workflow that obscures (defaces) a subject's face in 3-dimensional volumetric data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.