Excisional breast biopsy and roentgenographic examination for mammographically detected microcalcification

1983 ◽  
Vol 145 (5) ◽  
pp. 684-686 ◽  
Author(s):  
Joseph J. Prorok ◽  
Douglas R. Trostle ◽  
Michael Scarlato ◽  
Raymond Rachman
Keyword(s):  
Breast Biopsy ◽  
Roentgenographic Examination

First experience with MRI-guided vacuum aspirated breast biopsy

2020 ◽  
pp. 25-31
Author(s):  
M. L. Mazo ◽  
O. E. Jacobs ◽  
O. S. Puchkova ◽  
M. V. Feldsherov ◽  
E. V. Kondratyev
Keyword(s):  
Breast Cancer ◽  
Breast Augmentation ◽  
Breast Biopsy ◽  
Breast Mri ◽  
Breast Tumors ◽  
High Tech ◽  
X Ray ◽  
Vacuum Aspiration ◽  
Mri Guided ◽  
Aesthetic Breast

The rate of detection of breast cancer by MRI, while other methods of radiological diagnosis are not sufficiently informative, ranges from 5.2 to 26.3 per cent. Suspicious breast tumors of category BI-RADS 4, 5 show morphological image-guided biopsy verification, in particular MRI with contrast. Purpose. To show the possibilities and features of carrying out MRI-guided vacuum breast biopsy, including after aesthetic breast augmentation. Material and methods. A comprehensive X-ray, ultrasound and MRI examination of 54 women aged between 28 and 70 years with different breast tumors was conducted. Of these, five were detected only by breast MRI with contrast, and were morphologically verified by MRI-guided vacuum aspiration biopsy. Results. 14 of the 54 patients with breast mass were diagnosed with breast cancer and 26 were diagnosed with benign diseases. The effectiveness of comprehensive examination and low-invasive high-tech MRI-guided procedures in early refined screening for breast cancer, including after aesthetic breast augmentation, has been demonstrated. MRI-guided vacuum-assisted breast biopsy is a fast, safe and accurate diagnostic method of morphological verification of suspicious breast tumors that do not have X-ray and ultrasound.

Concordant Versus Discordant Ultrasound Guided Breast Biopsy Results: How They Effect Patient Management?

2016 ◽  
Vol 01 (01) ◽  
Author(s):  
Imrana Masroor ◽  
Saira Naz Sufian ◽  
Shaista Afzal ◽  
Saba Sohail ◽  
Hafsa Qayyum
Keyword(s):  
Patient Management ◽  
Breast Biopsy ◽  
Ultrasound Guided

Clinical Application of Computer-Aided Diagnosis According to S-Detect in Category 4 Breast Lesions: Prospective Single-Center Study (Preprint)

2020 ◽  
Author(s):  
Pengfei Sun ◽  
Chen Chen ◽  
Weiqi Wang ◽  
Lei Liang ◽  
Dan Luo ◽  
...  
Keyword(s):  
Clinical Management ◽  
Diagnostic Performance ◽  
Breast Biopsy ◽  
Computer Aided Diagnosis ◽  
Breast Lesions ◽  
Breast Masses ◽  
Computer Aided ◽  
Conventional Ultrasound ◽  
Us Findings ◽  
Aided Diagnosis

BACKGROUND Computer-aided diagnosis (CAD) is a useful tool that can provide a reference for the differential diagnosis of benign and malignant breast lesion. Previous studies have demonstrated that CAD can improve the diagnostic performance. However, conventional ultrasound (US) combined with CAD were used to adjust the classification of category 4 lesions has been few assessed. OBJECTIVE The objective of our study was to evaluate the diagnosis performance of conventional ultrasound combined with a CAD system S-Detect in the category of BI-RADS 4 breast lesions. METHODS Between December 2018 and May 2020, we enrolled patients in this study who received conventional ultrasound and S-Detect before US-guided biopsy or surgical excision. The diagnostic performance was compared between US findings only and the combined use of US findings with S-Detect, which were correlated with pathology results. RESULTS A total of 98 patients (mean age 51.06 ±16.25 years, range 22-81) with 110 breast masses (mean size1.97±1.38cm, range0.6-8.5) were included in this study. Of the 110 breast masses, 64/110 (58.18%) were benign, 46/110 (41.82%) were malignant. Compared with conventional ultrasound, a significant increase in specificity (0% to 53.12%, P<.001), accuracy (41.81% to70.19%, P<.001) were noted, with no statistically significant decrease on sensitivity(100% to 95.65% ,P=.48). According to S-Detect-guided US BI-RADS re-classification, 30 out of 110 (27.27%) breast lesions underwent a correct change in clinical management, 74of 110 (67.27%) breast lesions underwent no change and 6 of 110 (5.45%) breast lesions underwent an incorrect change in clinical management. The biopsy rate decreased from 100% to 67.27 % (P<.001).Benign masses among subcategory 4a had higher rates of possibly benign assessment on S-Detect for the US only (60% to 0%, P<.001). CONCLUSIONS S-Detect can be used as an additional diagnostic tool to improve the specificity and accuracy in clinical practice. S-Detect have the potential to be used in downgrading benign masses misclassified as BI-RADS category 4 on US by radiologist, and may reduce unnecessary breast biopsy. CLINICALTRIAL none

11. Breast (Biopsy)

2007 ◽  
Vol 188 (5_supplement) ◽  
pp. A32-A34
Keyword(s):  
Breast Biopsy

Evaluation of the patients’ experience after stereotactic vacuum assisted breast biopsy utilizing radiofrequency

The Breast ◽  
2019 ◽  
Vol 44 ◽  
pp. S130
Author(s):  
M. Matiatou ◽  
P. Giannios ◽  
V. Kalles ◽  
G. Georgiou ◽  
I. Papapanagiotou ◽  
...  
Keyword(s):  
Breast Biopsy ◽  
Patients Experience

scholarly journals Trends in breast biopsy pathology diagnoses among women undergoing mammography in the United States: A report from the Breast Cancer Surveillance Consortium

Cancer ◽  
2015 ◽  
Vol 121 (9) ◽  
pp. 1369-1378 ◽  
Author(s):  
Kimberly H. Allison ◽  
Linn A. Abraham ◽  
Donald L. Weaver ◽  
Anna N. A. Tosteson ◽  
Heidi D. Nelson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Breast Biopsy ◽  
The United States ◽  
Cancer Surveillance ◽  
Breast Cancer Surveillance Consortium

Cytologic Features of Lipogranulomatous Reaction in an Axillary Sentinel Lymph Node

2021 ◽  
pp. 1-4
Author(s):  
Jose Antonio Jimenez-Heffernan ◽  
Mariel Valdivia-Mazeyra ◽  
Patricia Muñoz-Hernández ◽  
Consuelo López-Elzaurdia
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Sentinel Lymph Node Biopsy ◽  
Lymph Nodes ◽  
Breast Biopsy ◽  
Lymph Node Biopsy ◽  
Sentinel Lymph Nodes ◽  
Fat Necrosis ◽  
Histologic Analysis ◽  
Node Biopsy

Introduction: Multinucleated giant cells (MGC) are a rare finding when evaluating axillary sentinel lymph nodes. Some are described as foreign body-type MGC accompanied by foamy macrophages. They have been rarely reported in nodes from patients in which a previous breast biopsy was performed. The tissue damage induced by biopsy results in secondary changes including fat necrosis and hemorrhage that can migrate to axillary nodes. In this report, we illustrate a lipogranulomatous reaction in cytologic samples obtained during a sentinel lymph node examination of a woman previously biopsied because of breast carcinoma. We have found no previous cytologic descriptions and consider it an interesting finding that should be known to avoid diagnostic misinterpretations. Case: A 51-year-old woman underwent mastectomy of the right breast with a sentinel lymph node biopsy at our medical center. One month before, a control mammography revealed suspicious microcalcifications and a vacuum-assisted breast biopsy resulted in a diagnosis of high-grade intraductal carcinoma with comedonecrosis. Surgery with a sentinel lymph node biopsy was performed. The sentinel node was processed as an intraoperative consultation. Frozen sections and air-dried Diff-Quik stained samples were obtained. They showed abundant lymphocytes with MGC and tumoral cells. MGC showed ample cytoplasm with evident vacuoles of variable size. Occasional hemosiderin-laden macrophages were also present. The complete histologic analysis and immunohistochemical studies revealed no malignant cells. Histologic analysis showed, in subcapsular location, occasional MGC phagocyting lipid droplets. Hemosiderin-laden macrophages were a common finding. Conclusion: Lipogranulomas may appear at axillary sentinel lymph nodes because of fat necrosis induced by previous breast biopsy. The most important consideration is not confounding MGC with epithelial cell clusters. This can occur with not well-processed samples, especially if unmounted.

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