Evidence map›Paper›PMID 42301366›Full record

ArticleInsights into imaging2026

Radiologists' memory as a data protection risk: a worst-case stress test for chest radiograph re-identification.

Matthias A Fink, Christian Römer, Matthis Ebel, Eric Frodl, Daniel Pinto Dos Santos, Hans-Ulrich Kauczor, Andreas Bucher

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Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Matthias A FinkClinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany. matthias.fink@uni-heidelberg.de.ORCID http://orcid.org/0000-0002-0189-7070
Christian RömerClinic for Radiology, University Hospital of Münster, Münster, Germany.
Matthis EbelInstitute for Mathematics and Computer Science, University of Greifswald, Greifswald, Germany.
Eric FrodlDepartment of Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Daniel Pinto Dos SantosDepartment of Radiology, University Medical Center Mainz, Mainz, Germany.
Hans-Ulrich KauczorClinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Andreas BucherDepartment of Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate an upper bound of memory-based re-identification risk for chest radiographs by testing radiologists under conditions that favor recognition. MATERIALS AND

methodsIn this prospective, multicenter, web-based reader study, radiologists from 38 centers completed two reading phases. In Phase 1, each reader interpreted ten chest radiographs. After a minimum interval of 24 h, Phase 2 included six follow-up target examinations and six new non-target examinations (50% target prevalence). After each Phase-2 examination, readers indicated whether they remembered the patient. Following a positive response, they were asked separately whether they remembered the Phase-1 pseudonym and/or case position. Thirty-three readers with fully classifiable Phase-2 data contributed 396 Phase-2 examinations to the predefined primary analysis.

resultsReaders answered "remember" in 139 of 396 examinations (35.1%). Sensitivity for repeated target examinations was 50.0% (99/198), whereas 20.2% of new non-target examinations were nevertheless judged as remembered (40/198). Explicit identifiers were attempted in 23 of 396 examinations (5.8%). At least one explicit identifier, defined as the Phase-1 pseudonym and/or case position, was correct in five of 396 examinations (1.3%). In a low-prevalence model with one known patient per dataset, the positive predictive value of a "remember" response decreased from 2.44% in datasets of 100 radiographs to 0.25% in datasets of 1000 radiographs.

conclusionsEven in a design that favored memory, correct recall of explicit identifiers was rare, whereas false-positive recognition remained common. These findings support treating radiologists' memory as a limited, upper-bound component of re-identification risk, rather than assuming that familiarity routinely translates into identification. CRITICAL RELEVANCE STATEMENT: Even under conditions deliberately favoring memory, radiologists rarely converted familiarity with prior chest radiographs into correct explicit identifiers; in low-prevalence datasets, false-positive recognition dominated the practical meaning of a "remember" judgment. KEY POINTS: How often does a radiologist's feeling of familiarity with a previously seen chest radiograph translate into correct recall of a usable explicit identifier? In a deliberately memory-favoring design, sensitivity was 50.0%, but 20.2% of new examinations were false positives and only 1.3% yielded a correct explicit identifier.

Indexed as

Artificial intelligenceConfidentialityData anonymizationMemoryRadiography, thoracic

Identifiers

PMID42301366
PMCPMC13272688

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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.