A comparison of the excision methods in breast lesions of classic wire localisation and the advanced breast biopsy system of breast lesion excision system

Background Breast cancer is the most commonly diagnosed noncutaneous malignancy and remains the second leading cause of cancer deaths in women. The Savi Scout (Cianna Medical, Merit Medical Systems, Inc. South Jordan, UT) is a wireless, nonradioactive, wave reflection implant system that enables surgeons to remove targeted breast lesions. Our study aims to be the largest comparison of wire and Savi Scout localization techniques for positive margin, complication, and reoperation rates. Methods Single-institution retrospective review of 512 patients that had Savi Scout Surgical Guidance System breast lesion biopsy or wire localized breast biopsy from May 2017 to December 2018. A RedCaps database was created and reviewed for outcomes. Results For 320 Savi scout patients, margins were positive or less than 1 mm in 18 cases (5.6%). 17 (5.3%) patients required reoperation. Surgical site occurrence was found in 7 (2.1%) patients, and 2 patients required intervention (0.6%). For 175 wire localization patients, margins were positive or less than 1 mm in 24 patients, and all required reoperation (13.7%). A surgical site occurrence was found in 13 (7.4%) patients and 5 patients required intervention (2.8%). Discussion In our series, the Savi Scout localization system resulted in a lower rate of positive margins, reoperation, and surgical site occurrence. These data suggest that Savi Scout localization is a reasonable replacement to wire localization for breast lesions and might produce superior results.

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The Utility of ABBI (Advanced breast biopsy instrumentation) for Non-palpable Breast Lesions

Journal of Korean Breast Cancer Society ◽

10.4048/jkbcs.1998.1.2.164 ◽

1998 ◽

Vol 1 (2) ◽

pp. 164

Author(s):

Jung Hyun Yang ◽

Sang Dal Lee ◽

Hae Kyung Lee ◽

Seok Jin Nam

Keyword(s):

Breast Biopsy ◽

Advanced Breast ◽

Breast Lesions ◽

Palpable Breast

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The Role of the Use of US-guided Vacuum-Assisted Breast Biopsy for the Total Removal of Sonographic Evidence in Low- and High-Risk Benign and Malignant Breast Lesions

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2007.57.1.89 ◽

2007 ◽

Vol 57 (1) ◽

pp. 89

Author(s):

Hyon-Joo Kwag ◽

Shin-Ho Kook

Keyword(s):

High Risk ◽

Breast Biopsy ◽

Breast Lesions ◽

Total Removal ◽

Malignant Breast

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

10.2196/preprints.20875 ◽

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

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Can Cut-Off-Values for Tumor Size or Patient Age in Breast Ultrasound Reduce Unnecessary Biopsies or is it all About Bi-rads?– A Retrospective Analysis of 763 Biopsied T1-Sized Lesions

Ultrasound International Open ◽

10.1055/s-0043-110476 ◽

2017 ◽

Vol 03 (03) ◽

pp. E94-E98 ◽

Cited By ~ 1

Author(s):

Laura Holzer-Fruehwald ◽

Matthias Meissnitzer ◽

Michael Weber ◽

Stephan Holzer ◽

Klaus Hergan ◽

...

Keyword(s):

Regression Models ◽

Breast Lesion ◽

Binary Logistic Regression ◽

Lesion Size ◽

Breast Lesions ◽

Predictive Values ◽

Logistic Regression Models ◽

Independent Variables ◽

Oval Shape ◽

Histological Result

Abstract Aims and Objectives To assess whether it is possible to establish a size cut-off-value for sonographically visible breast lesions in a screening situation, under which it is justifiable to obviate a biopsy and to evaluate the grayscale characteristics of the identified lesions. Materials and Methods Images of sonographically visible and biopsied breast lesions of 684 patients were retrospectively reviewed and assessed for the following parameters: size, shape, margin, lesion boundary, vascularity, patient’s age, side of breast, histological result, and initial BI-RADS category. Statistical analyses (t-test for independent variables, ROC analyses, binary logistic regression models, cross-tabulations, positive/negative predictive values) were performed using IBM SPSS (Version 21.0). Results Of all 763 biopsied lesions, 223 (29.2%) showed a malignant histologic result, while 540 (70.8%) were benign. Although we did find a statistically significant correlation of malignancy and lesion size (p=0.031), it was not possible to define a cut-off value, under which it would be justifiable to obviate a biopsy in terms of sensitivity and specificity (AUC: 0.558) at any age. Lesions showing the characteristics of a round or oval shape, a sharp delineation and no echogenic rim (n=112) were benign with an NPV of 99.1%. Conclusion It is not possible to define a cut-off value for size or age, under which a biopsy of a sonographically visible breast lesion can be obviated in the screening situation. The combination of the 3 grayscale characteristics, shape (round or oval), margin (circumscribed) and no echogenic-rim sign, showed an NPV of 99.1%. Therefore, it seems appropriate to classify such lesions as BI-RADS 2.

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