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

OBJECTIVES: To estimate an upper bound of memory-based re-identification risk for chest radiographs by testing radiologists under conditions that favor recognition. MATERIALS AND METHODS: In 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. RESULTS: Readers 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. CONCLUSIONS: Even 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.

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Publication Details

Journal
Insights into Imaging
Published
2026-06-16
DOI
https://doi.org/10.1186/s13244-026-02336-y
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
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article

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

Matthis Ebel, Matthias Alexander Fink, Eric Frodl, C Römer et al.
Insights into Imaging
Radiology practices and education
article

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

Matthis Ebel, Matthias Alexander Fink, Eric Frodl, C Römer, Daniel Pinto dos Santos, Hans-Ulrich Kauczor, Andreas Bucher
article en

Abstract

OBJECTIVES: To estimate an upper bound of memory-based re-identification risk for chest radiographs by testing radiologists under conditions that favor recognition. MATERIALS AND METHODS: In 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. RESULTS: Readers 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. CONCLUSIONS: Even 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.

Insights into ImagingVol. 17(1)
Goethe University Frankfurt (DE), Johannes Gutenberg University Mainz (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), Universität Greifswald (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), University Hospital Münster (DE), German Center for Lung Research (DE), University Hospital Frankfurt (DE)
Quality Education
Openalex Percentile: Top 7%
Radiology practices and education
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