Evidence map›Paper›PMID 41969517›Full record

ReviewTranslational cancer research2026

Beyond the lung: recognizing incidental breast lesions on chest computed tomography.

Bo Mi Gil, Yoon Ki Cha, Hyungin Park, Boo Kyung Han, Myung Jin Chung

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bo Mi GilDepartment of Radiology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-0576-5830
Yoon Ki ChaDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5960-0719
Hyungin ParkDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7283-4317
Boo Kyung HanDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1896-0571
Myung Jin ChungDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6271-3343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Chest computed tomography (chest CT)incidental breast lesionradiologist awareness

Identifiers

PMID41969517
PMCPMC13067193

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.