Evidence map›Paper›PMID 40593168›Full record

ArticleEuropean radiology2026

Performance of contrast-enhanced cone-beam breast CT to predict nipple-areolar complex involvement in early-stage breast cancer.

Jie Huang, Ni He, Jiao Li, Jieting Chen, Canyu Guan, Yaopan Wu, Qianyi Lu

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jie Huang *Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China.
Ni He *Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China.
Jiao Li *Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China.
Jieting ChenDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China.
Canyu GuanDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China.
Yaopan WuDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China. wuyp@sysucc.org.cn.
Qianyi LuDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China. luqiany@sysucc.org.cn.ORCID http://orcid.org/0000-0001-5721-0840

Funding

Science and Technology Program of Guangzhou, China 2024A04J4241
6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of preoperative contrast-enhanced cone-beam breast CT (CE-CBBCT) and identify significant predictors of nipple-areolar complex (NAC) involvement in early-stage breast cancer patients. MATERIALS AND

methodsThis retrospective study included 641 breast cancer cases from 631 patients at Sun Yat-sen University Cancer Center (2019.3-2021.3). From these, 182 cases were selected after one-by-one matching with the NAC involvement group using the propensity score matching method. Two radiologists independently assessed CE-CBBCT imaging factors in 182 cases. Diagnostic performance indices were analyzed, and predictors of NAC involvement in breast cancer were identified using logistic regression analyses.

resultsThe 182 matched cases were females with a median age of 50 (interquartile range, 44-55; range, 25-81 years). Interobserver agreement regarding CBBCT prediction by two radiologists was relatively substantial (κ = 0.730). The accuracy of radiologists in predicting NAC involvement in CE-CBBCT was 83.52% (152/182), with a sensitivity of 96.70% (88/91), specificity of 70.33% (64/91), negative predictive value of 95.52% (64/67), and positive predictive value (PPV) of 76.52% (88/115). On CE-CBBCT, asymmetric NAC enhancement (odds ratio, 5.279; p = 0.001) and TNE (tumor-nipple enhancement) within 2 cm of the NAC (odds ratio, 4.184; p = 0.02) were significant predictors of NAC involvement. When asymmetric NAC enhancement and TNE extending to the NAC were present, the PPV was 82.35% (56/68).

conclusionsCE-CBBCT is a safe and non-invasive modality with comparably high accuracy for the preoperative diagnosis of NAC involvement. Asymmetric NAC enhancement and TNE within 2 cm of the NAC performed well in predicting NAC involvement. KEY POINTS: Question Several imaging modalities have been studied to preoperatively evaluate NAC involvement, but CE-CBBCT's performance was unknown. Findings CE-CBBCT showed high accuracy in diagnosing NAC involvement. Asymmetric NAC enhancement and tumor-nipple enhancement within 2 cm of the NAC were independent predictors of NAC involvement. Clinical relevance CE-CBBCT can serve as a safe, non-invasive modality to diagnose NAC involvement preoperatively and help to identify candidates for nipple-sparing mastectomy.

Indexed as

Breast NeoplasmsCone-Beam Computed TomographyContrast MediaNipplesRadiographic Image EnhancementAdultAgedAged, 80 and overFemaleHumansMiddle AgedNeoplasm StagingPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityContrast MediaBreast neoplasmsCone beam computed tomographyMastectomyNipple

Identifiers

PMID40593168
PMCPMC12712108

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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.