Introduction: Total duct excision (TDE) is performed for the diagnosis and management of nipple discharge. The Association of Breast Surgery's recent guidelines recommend considering diagnostic surgery for single-duct, blood-stained or clear nipple discharge, and for symptomatic management.
Methods: We retrospectively reviewed the diagnostic and surgical outcomes of all cases of TDE between January 2013 and November 2019.
Results: In total, 259 TDEs were carried out: 219 for nipple discharge, 29 for recurrent mastitis, 3 for screening abnormalities and 8 for breast lumps. Of the nipple discharge group, 121 had blood-stained discharge. Mean patient age was 52 years (range 19-81). Median follow-up time was 45 months (interquartile range 24-63). The following cases were identified on histopathology: 236 benign breast changes, 10 atypical ductal hyperplasia, 4 lobular carcinoma in situ, 2 low-grade ductal carcinoma in situ (DCIS), 3 intermediate-grade DCIS, 2 high-grade DCIS and 2 invasive ductal carcinomas. In total, 3.5% of patients who underwent TDE had a diagnosis of DCIS or invasive carcinoma. Blood-stained discharge was associated with a significant increase in risk of DCIS or carcinoma compared with other nipple discharge colours ( = 0.043). The most common complications of TDE were infection, poor wound healing and haematoma. Nipple discharge recurred in 14.2% of cases.
Conclusions: TDE can be considered for the diagnostics and management of nipple discharge. Blood-stained nipple discharge increases the risk of DCIS or malignancy, but the majority of the time TDE reveals benign breast pathology.
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http://dx.doi.org/10.1308/rcsann.2022.0093 | DOI Listing |
BMC Cancer
January 2025
Department of Breast and Thyroid Surgery, the Central People's Hospital of Tengzhou, Tengzhou, China;, 277500, China.
Purpose: Pathological nipple discharge (PND) is associated with malignancy. This study aimed to investigate the value of fiberoptic ductoscopy (FDS) and the feasibility of immediate injection of methylene blue after FDS to identify discharging ducts and intraductal lesions without overflow of methylene blue during surgery.
Methods: From May 2019 to December 2023, 164 PND patients were enrolled.
Radiographics
February 2025
From the Washington University School of Medicine, Mallinckrodt Institute of Radiology, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Annual review of false-negative (FN) mammograms is a mandatory and critical component of the Mammography Quality Standards Act (MQSA) annual mammography audit. FN review can help hone reading skills and improve the ability to detect cancers at mammography. Subtle architectural distortion, asymmetries (seen only on one view), small lesions, lesions with probably benign appearance (circumscribed regular borders), isolated microcalcifications, and skin thickening are the most common mammographic findings when the malignancy is visible at retrospective review of FN mammograms.
View Article and Find Full Text PDFAcad Radiol
January 2025
Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, PR China (M.W., Y.L., D.Z., N.F., Y.W., M.L., H.Z.).
Rationale And Objectives: To summarize the clinical features and ultrasonic characteristics of patients with cystic neutrophilic granulomatous mastitis (CNGM), and to enhance the understanding of CNGM in clinical practice.
Materials And Methods: This study retrospectively analyzed the demographic data, clinical symptoms, and ultrasonic characteristics of 141 patients diagnosed with CNGM through pathological examination. This study was approved by the Medical Ethical Committee of Beijing Hospital of Traditional Chinese Medicine (2023BL02-054-01).
Quant Imaging Med Surg
December 2024
Department of Radiology, Shenzhen People's Hospital, Shenzhen, China.
Background: The classification of Breast Imaging Reporting and Data System (BI-RADS) category 4A lesions in mammography is complicated by subjective interpretations and unclear criteria, which can lead to potential misclassifications and unnecessary biopsies. Thus, more accurate assessment methods need to be developed. This study aimed to improve the classification prediction of BI-RADS 4A positive lesions in mammography by combining deep learning (DL) technology with relevant clinical factors.
View Article and Find Full Text PDFAm J Dermatopathol
November 2024
Department of Pathology and ARUP Laboratories, University of Utah, Salt Lake City, UT.
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