Rationale And Objective: To determine the diagnostic yield of various imaging tests used to evaluate nipple discharge.
Materials And Methods: A single institution, IRB-approved, retrospective study was performed of 320 consecutive patients presenting with nipple discharge. Imaging and pathology were reviewed to determine the yield for malignancy, atypical high-risk lesions (HRLs), and intraductal papillomas (IDPs).
Results: Of the 320 patients, pathology or follow up confirmed 40 breast malignancies (40/320, 12.5%),14 atypical HRLs (14/320, 4.4%), 71 IDPs (71/320, 22.2%), 48 other benign pathologies (48/320,15.0%), and 147 unknown but benign cases (147/320, 45.9%). Physiologic discharge characteristics were observed in a minority of malignant cases: nonspontaneous (4/40, 10.0%); neither bloody nor clear (4/40, 10.0%); bilateral (3/40, 7.5%). Malignancy was associated with older age (p < 0.001) and bloody discharge (odds ratio 6.5, p < 0.0001). The combination of digital mammography and ultrasound had a 93% sensitivity and a 98% NPV, while contrast enhanced MRI (CE-MRI) had a 100% sensitivity and a 100% NPV for malignancy. Only three galactography examinations were performed among the malignant cohort, with minimal contribution (1 of 3) to the diagnostic evaluation. In this case, galactography findings helped determine imaging-pathology discordance, prompting a recommendation for surgical excision and subsequently a malignant diagnosis.
Conclusion: The combination of mammography and ultrasonography detected 93% of breast malignancies associated with nipple discharge and had a 98% NPV for malignancy. The value of CE-MRI is its ability to detect the remaining malignancies, not detected on mammography or ultrasound, and its ability to obviate the need for surgical duct excision.
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http://dx.doi.org/10.1016/j.acra.2022.05.013 | DOI Listing |
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.
J Clin Ultrasound
December 2024
Department of Pathology, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, China.
Giant cell tumor of soft tissue (GCT-ST) is an extremely rare phenomenon in the breast. Herein, a case involving a 75-year-old female with a painless lump and bloody discharge from the nipple of her left breast is reported. A diagnosis of malignant tumor was arrived at by observing the location of the tumor, interior echo, margins, vascular distribution, hardness, and microvascular density on preoperative multimodal ultrasonography.
View Article and Find Full Text PDFPak J Med Sci
November 2024
Chunzhi Li, Department of Radiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China.
Front Oncol
October 2024
Department of Ultrasound, First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
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