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Artificial Intelligence Detection of Interval Breast Cancers on False-negative Screening Mammograms: A Retrospective Lesion-level Analysis.

Created on 26 Aug 2026

Authors

Babita Panigrahi, Eniola T Oluyemi, Lisa A Mullen, Kelly S Myers, Emily B Ambinder

Published in

Academic radiology. Aug 25, 2026. Epub Aug 25, 2026.

Abstract

Interval breast cancers (IBCs) occur after false-negative (FN) screening mammograms and can be diagnostically challenging. This study classified IBCs by retrospective visibility, evaluated an artificial intelligence (AI) tool's ability to detect IBCs, and identified factors associated with detection. MATERIALS AND METHODS: This retrospective study of 211,517 screening mammograms (2013-2020) included 96 IBCs diagnosed within a year of a negative/benign exam. Two radiologists independently classified IBC retrospective visibility; a third resolved discordant cases. Cohen's kappa assessed inter-reader agreement. A Food and Drug Administration-approved AI tool scored FN mammograms at the lesion level. Associations with AI detection were analyzed using chi-square/Fisher's exact tests and logistic regression.
AI detected 40% (38/96) of IBCs, including 81% (34/42) retrospectively visible and 7% (4/54) not visible (p < 0.005). Interreader agreement was substantial (kappa = 0.69). Nearly all misses (91%, 10/11), all minimal actionable findings (100%, 13/13), and most minimal nonactionable findings (61%, 11/18) were detected by AI. True interval (0%, 0/14), mammographically occult (10%, 4/39), and technical misses (0%, 0/1) were rarely detected. On univariate analysis, AI detection was significantly associated with retrospective visibility (odds ratio [OR] 53.1, p < 0.001), symptomatic presentation (OR 8.1, p = 0.007), ultrasound-guided biopsy (OR 5.7, p = 0.027), and higher T stage (OR 3.4, p = 0.005).
AI detected most retrospectively visible IBCs but had limited performance for cancers not visible. AI detection was associated with visibility, presentation, biopsy modality, and T stage. While AI offers a safety net for visible cancers, supplemental screening remains necessary for mammographically occult and true interval cancers.

PMID:
42642316
Bibliographic data and abstract were imported from PubMed on 26 Aug 2026.

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