ReviewTranslational cancer research2026
Beyond the lung: recognizing incidental breast lesions on chest computed tomography.
Review in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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
1 citing paper in PubMed.
- Bilateral-Asymmetry-Aware Multiple-Instance Learning for Breast Cancer Classification on Chest CT.Life (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the widespread use of chest computed tomography (CT) for thoracic evaluation, incidental breast findings are increasingly encountered in routine clinical practice. Although most of these findings are benign, breast cancer may occasionally be first detected on chest CT, performed for unrelated indicators, underscoring the importance of systematic breast assessment during imaging interpretation. This review provides a practical image-based overview of breast lesions on routine chest CT, with the goal of assisting thoracic radiologists and general clinicians in recognizing clinically relevant findings. We review normal breast anatomy, common anatomic variants and breast density as visualized on chest CT, followed by characteristic CT features of benign breast lesions, imaging findings suspicious for malignancy, and expected post-treatment changes related to surgery and radiation therapy. Particularly emphasis is placed on imaging features that may overlap across benign, malignant, and post-treatment conditions, including skin and trabecular changes, calcifications, enhancement patterns, and axillary lymph node abnormalities. Diagnosis challenges and common pitfalls in CT detect lesions that warrant further attention despite the modality's inherent limitations for dedicated breast imaging. By improving familiarity with the spectrum of breast findings visible on chest CT, this review aims to promote consistent and deliberate evaluation of the breast during routine CT interpretation. In the absence of prior characterization or long-term imaging stability, suspicious or indeterminate breast imaging. Increased awareness of these findings may help reduce missed diagnoses, and support timely clinical management.
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Registered trials
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