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KMID : 1134120220250010037
Journal of Breast Cancer
2022 Volume.25 No. 1 p.37 ~ p.48
Atypical Ductal Hyperplasia of the Breast on Core Needle Biopsy: Risk of Malignant Upgrade on Surgical Excision
Bong Tiffany Sin Hui

Tan Jun Kiat Thaddaeus
Ho Juliana Teng Swan
Tan Puay Hoon
Lau Wing Sze
Tan Tuan Meng
Wong Jill Su Lin
Tan Veronique Kiak Mien
Tan Benita Kiat Tee
Sim Yirong
Abstract
Purpose: This study identified factors predicting malignant upgrade for atypical ductal hyperplasia (ADH) diagnosed on core-needle biopsy (CNB) and developed a nomogram to facilitate evidence-based decision making.

Methods: This retrospective analysis included women diagnosed with ADH at the National Cancer Centre Singapore (NCCS) in 2010?2015. Cox proportional hazards regression was used to identify clinical, radiological, and histological factors associated with malignant upgrade. A nomogram was constructed using variables with the strongest associations in multivariate analysis. Multivariable logistic regression coefficients were used to estimate the predicted probability of upgrade for each factor combination.

Results: Between 2010 and 2015, 238,122 women underwent mammographic screening under the National Breast Cancer Screening Program. Among 29,564 women recalled, 5,971 CNBs were performed. Of these, 2,876 underwent CNBs at NCCS, with 88 patients (90 lesions) diagnosed with ADH and 26 lesions upgraded to breast malignancy on excision biopsy. In univariate analysis, factors associated with malignant upgrade were the presence of a mass on ultrasound (p = 0.018) or mammography (p = 0.026), microcalcifications (p = 0.047), diffuse microcalcification distribution (p = 0.034), mammographic parenchymal density (p = 0.008). and ¡Ã 3 separate ADH foci found on biopsy (p = 0.024). Mammographic parenchymal density (hazard ratio [HR], 0.04; 95% confidence interval [CI], 0.005?0.35; p = 0.014), presence of a mass on ultrasound (HR, 10.50; 95% CI, 9.21?25.2; p = 0.010), and number of ADH foci (HR, 1.877; 95% CI, 1.831?1.920; p = 0.002) remained significant in multivariate analysis and were included in the nomogram.

Conclusion: Our model provided good discrimination of breast cancer risk prediction (C-statistic of 0.81; 95% CI, 0.74?0.88) and selected for a subset of women at low risk (2.1%) of malignant upgrade, who may avoid surgical excision following a CNB diagnosis of ADH.
KEYWORD
Breast, Carcinoma in Situ, Carcinoma, Intraductal, Noninfiltrating, Nomograms, Prognosis
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