Evidence map›Paper›PMID 41215873›Full record

ArticleGland surgery2025

Predictors and nomogram for upstaging to invasive breast carcinoma in ductal carcinoma

Xiaoli Zhang, Yanning Zhang, Junfeng Zhao, Wanwan Wen, Jianmin Zhao, Lanyan Qiu

Abstract read
In one paragraph

Article in Gland surgery, 2025. 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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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoli ZhangDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yanning ZhangDepartment of Pathology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Junfeng ZhaoDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Wanwan WenDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Jianmin ZhaoDepartment of Pathology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Lanyan QiuDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ductal carcinoma in situ (DCIS) cases diagnosed by ultrasound-guided core needle biopsy (US-CNB) carry a risk of postoperative upstaging to invasive breast carcinoma, complicating clinical management. This study aimed to investigate clinicopathological and ultrasound (US) predictors for postoperative upstaging and to develop a nomogram for individualized risk prediction. Methods: A total of 240 patients with 246 DCIS lesions diagnosed by US-CNB were enrolled in this retrospective study from May 2013 to January 2025. Clinicopathological and US features were compared using the Student's Results: Among all the lesions, 161 (65.4%) were diagnosed as pure DCIS, while 85 (34.6%) were upstaged to DCIS-IC, including 37 (15.0% of total) with microinvasive carcinoma. Age [per 1-year increase, odds ratio (OR) =1.04; 95% confidence interval (CI): 1.01-1.06; P=0.01], Ki-67 >20% (OR =2.56; 95% CI: 1.35-4.86; P=0.004), and suspicious axillary lymph node (ALN) on US (OR =3.00; 95% CI: 1.07-8.45; P=0.04) were independent predictors of postoperative upstaging to DCIS-IC. The nomogram showed moderate discrimination with an apparent area under the curve (AUC) of 0.72 (95% CI: 0.65-0.78), which was internally validated as 0.70 (95% CI: 0.66-0.72) using 1,000 bootstrap replicates. It demonstrated good calibration (H-L test, P=0.86). The DCA showed that the nomogram provided net benefit across a threshold probability range of 20% to 88% compared to default strategies. Although larger tumor size (>1 cm; P=0.02) and non-circumscribed mass margins (P=0.03) were associated with upstaging in univariate analysis, they were not retained as independent predictors in the multivariate model. Conclusions: The nomogram incorporating age, Ki-67, and suspicious ALN on US effectively predicts DCIS upstaging risk in cases diagnosed by US-CNB and may assist in clinical decision-making. US characteristics (size >1 cm, non-circumscribed mass margins) may provide supplementary information but require further validation.

Indexed as

Ductal carcinoma in situ (DCIS)invasive carcinomaultrasound-guided core needle biopsy (US-CNB)upstaging

Identifiers

PMID41215873
PMCPMC12596424

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