Humans ; Female ; Diagnosis, Differential ; Breast/pathology* ; Carcinoma, Intraductal, Noninfiltrating/pathology* ; Breast Neoplasms/pathology*

INTRODUCTION: Microinvasion (Mi) is often thought to be an interim stage between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma. This study aimed to investigate the potential influence of Mi on survival and assess its correlations with clinicopathological parameters, prognosis and molecular markers. METHODS: The number of Mi foci in a cohort of 66 DCIS-Mi cases was assessed from haematoxylin and eosin-stained sections. Disease-free survival, clinicopathological parameters and biomarker expression were correlated with the number of Mi foci. RESULTS: Higher numbers of Mi foci were found in larger tumours (P = 0.031). CONCLUSION Greater extent of DCIS is associated with multifocal Mi.
Humans ; Female ; Carcinoma, Intraductal, Noninfiltrating ; Prognosis ; Disease-Free Survival ; Progression-Free Survival ; Breast Neoplasms ; Carcinoma, Ductal, Breast/pathology* ; Neoplasm Invasiveness

Humans ; Female ; Carcinoma, Intraductal, Noninfiltrating/surgery* ; Thoracic Wall/pathology* ; Adenocarcinoma, Papillary ; Breast Neoplasms/surgery* ; Carcinoma, Ductal, Breast/pathology*

Breast/pathology* ; Breast Neoplasms/pathology* ; Carcinoma, Ductal, Breast/pathology* ; Carcinoma, Intraductal, Noninfiltrating/pathology* ; Consensus ; Female ; Humans

Objective: To investigate the expression of Ki-67 and CD34 in the differential diagnosis of ductal carcinoma in situ (DCIS) and DCIS-like invasive breast cancer (DLIBC). Methods: A total of 100 cases of DCIS and 150 cases of DLIBC diagnosed pathologically in Yantai Yuhuangding Hospital from January 2019 to March 2022 were collected. The expression of p63, CK5/6, Ki-67 and CD34 in both groups were detected by immunohistochemical (IHC) staining and evaluated. Results: The 100 cases of DCIS included 11 cases of low-grade DCIS, 28 cases of intermediate-grade DCIS and 61 cases of high-grade DCIS. IHC staining of p63 and CK5/6 showed the myoepithelial cells around cancerous duct were complete or partial absence. Ki-67 expression showed two patterns: high expression in the basal layers and scattered expression within the tumor. Most cases showed mainly high basal expression (77/100, 77%), and the proportion of this pattern was significantly different between low grade and high grade DCIS (P<0.05). All cases showed complete CD34 expression surrounding the cancerous duct with different proportion (vascular necklace) suggested small vessels proliferation. The 150 cases of DLIBC included 142 cases of invasive ductal carcinoma (IDC) (three cases of basal-like breast cancer was included), two cases of secretory carcinoma, three cases of solid papillary carcinoma, two cases of adenoid cystic carcinoma and one case of acinar cell carcinoma. Among 142 cases of IDC, 13 cases were grade Ⅰ, 77 were grade Ⅱ and 52 were grade Ⅲ. IHC staining of p63 showed complete absence of myoepithelium. CK5/6 was negative in most cases and only positively expressed within the tumor in 3 cases of basal-like breast cancer. Ki-67 indicated a scattered expression pattern within the tumor. In most cases, CD34 immunostaining showed scattered positive blood vessels within the tumor while only two cases showed incomplete expression of CD34 around the tumor (2/150, 1.3%). The different expression patterns of Ki-67 and CD34 in DCIS and DLIBC was statistically significant (P<0.05). Conclusions: The different expression patterns of Ki-67 and CD34 are helpful to distinguish DLIBC from DCIS. The appearance of "vascular necklace" with CD34 and the high expression of Ki-67 around the cancerous duct highly support the diagnosis of DCIS, and the scattered expression pattern of CD34 supports DLIBC.
Antigens, CD34 ; Breast Neoplasms/pathology* ; Carcinoma, Ductal, Breast/pathology* ; Carcinoma, Intraductal, Noninfiltrating/pathology* ; Cell Adhesion Molecules ; Female ; Humans ; Immunohistochemistry ; Ki-67 Antigen ; Neuroblastoma

Carcinoma, Intraductal, Noninfiltrating ; Humans ; Salivary Gland Neoplasms/diagnosis* ; Salivary Glands

Carcinoma, Intraductal, Noninfiltrating ; Humans ; Parotid Gland ; Parotid Neoplasms

Breast Neoplasms/surgery* ; Carcinoma in Situ ; Carcinoma, Ductal, Breast ; Carcinoma, Intraductal, Noninfiltrating/surgery* ; China ; Female ; Humans ; Mastectomy

OBJECTIVE: To examine time trends in ultrasonography (US)-guided 14-gauge core needle biopsy (CNB) for breast lesions based on the lesion size, Breast Imaging-Reporting and Data System (BI-RADS) category, and pathologic findings.MATERIALS AND METHODS: We retrospectively reviewed consecutive US-guided 14-gauge CNBs performed from January 2005 to December 2016 at our institution. A total of 22,297 breast lesions were included. The total number of biopsies, tumor size (≤ 10 mm to > 40 mm), BI-RADS category (1 to 5), and pathologic findings (benign, high risk, ductal carcinoma in situ [DCIS], invasive cancer) were examined annually, and the malignancy rate was analyzed based on the BI-RADS category.RESULTS: Both the total number of US scans and US-guided CNBs increased while the proportion of US-guided CNBs to the total number of US scans decreased significantly. The number of biopsies classified based on the tumor size, BI-RADS category, and pathologic findings all increased over time, except for BI-RADS categories 1 or 2 and category 3 (odds ratio [OR] = 0.951 per year, 95% confidence interval [CI]: 0.902, 1.002 and odds ratio = 0.979, 95% CI: 0.970, 0.988, respectively). Both the unadjusted and adjusted total malignancy rates and the DCIS rate increased significantly over time. BI-RADS categories 4a, 4b, and 4c showed a significant increasing trend in the total malignancy rate and DCIS rate.CONCLUSION: The malignancy rate in the results of US-guided 14-gauge CNB for breast lesions increased as the total number of biopsies increased from 2005 to 2016. This trend persisted after adjusting for the BI-RADS category.
Biopsy ; Biopsy, Large-Core Needle ; Breast Neoplasms ; Breast ; Carcinoma, Intraductal, Noninfiltrating ; Image-Guided Biopsy ; Information Systems ; Odds Ratio ; Retrospective Studies ; Ultrasonography

PURPOSE: To validate and update a nomogram for predicting ductal carcinoma in situ (DCIS) upstaging in preoperative biopsy. MATERIALS AND METHODS: Medical records of 444 preoperative DCIS patients were evaluated and used to validate a previous version of the Severance nomogram for predicting DCIS upstaging in preoperative biopsy. Patients were divided into two groups according to the final postoperative pathology. Univariate and multivariate analyses with the chi-square test, Student's t-test, and binary logistic regression method identified new significant variables. The updated nomogram was evaluated with the C-index and Hosmer—Lemeshow goodness of fit test. RESULTS: The area under a receiver operating characteristic curve for comparison with the previous nomogram was 0.48. In postoperative pathology, the pure DCIS and invasive cancer groups comprised 345 and 99 cases, respectively. Approximately 22.3% of patients preoperatively diagnosed with DCIS were upstaged to invasive cancer. Significant variables in the univariate analysis were operation type, human epidermal growth factor receptor 2 overexpression, comedo necrosis, sonographic mass, mammographic mass, preoperative biopsy method, and suspicious microinvasion in preoperative biopsy. In multivariate analysis, operation type, sonographic mass, mammographic mass, and suspicious microinvasion were risk factors for upstaging. The updated model with these variables showed moderate discrimination and was appropriate in the calibration test. CONCLUSION: The previous nomogram did not effectively discriminate upstaging of preoperative DCIS in an independent cohort. An updated version of the nomogram appears to provide more accurate information for predicting preoperative DCIS upstaging.
Biopsy ; Breast Neoplasms ; Breast ; Calibration ; Carcinoma, Ductal ; Carcinoma, Intraductal, Noninfiltrating ; Cohort Studies ; Discrimination (Psychology) ; Humans ; Logistic Models ; Medical Records ; Methods ; Multivariate Analysis ; Necrosis ; Nomograms ; Pathology ; Receptor, Epidermal Growth Factor ; Risk Factors ; ROC Curve ; Ultrasonography