A Study of the Outcome of the Latero-Central Glandular Pedicle Technique as an Oncoplastic Procedure for Medial Quadrants Breast Masses

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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A computer-aided approach for automatic detection of breast masses in digital mammogram via spectral clustering and support vector machine

Physical and Engineering Sciences in Medicine ◽

10.1007/s13246-021-00977-5 ◽

2021 ◽

Vol 44 (1) ◽

pp. 277-290

Author(s):

Hossein Ketabi ◽

Ali Ekhlasi ◽

Hessam Ahmadi

Keyword(s):

Support Vector Machine ◽

Spectral Clustering ◽

Automatic Detection ◽

Support Vector ◽

Digital Mammogram ◽

Breast Masses ◽

Computer Aided

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Association between ovarian and breast masses among Chinese women in Chongqing based on ultrasonography screening: A cross‐sectional study

International Journal of Gynecology & Obstetrics ◽

10.1002/ijgo.13568 ◽

2020 ◽

Author(s):

Shu Li ◽

Hao Li ◽

Shen Tian ◽

Juan Wu ◽

Yu‐ling Chen ◽

...

Keyword(s):

Chinese Women ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Breast Masses

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Imaging Evaluation of Male Breast Masses with Histopathologic Correlation: A Case Series

Indian Journal of Radiology and Imaging ◽

10.1055/s-0041-1734358 ◽

2021 ◽

Author(s):

Tanvi P. Vaidya ◽

Subhash K. Ramani

Keyword(s):

Magnetic Resonance Imaging ◽

Wide Spectrum ◽

Case Series ◽

Male Breast ◽

Radiological Evaluation ◽

Resonance Imaging ◽

Imaging Evaluation ◽

Breast Masses ◽

Female Breast

AbstractThe male breast can be afflicted with a wide spectrum of benign and malignant masses, similar to the female breast. A systematic radiological evaluation using mammography, ultrasonography, and when appropriate, magnetic resonance imaging, could aid this differentiation and provide clues to the diagnosis. In this article, we present six cases of male breast masses with an emphasis on the role of imaging in characterization and diagnosis.

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Breast involvement of hematological malignancies: imaging and clinical findings

Egyptian Journal of Radiology and Nuclear Medicine ◽

10.1186/s43055-021-00558-2 ◽

2021 ◽

Vol 52 (1) ◽

Author(s):

Gamze Durhan ◽

Figen Demirkazık

Keyword(s):

Hematological Malignancies ◽

Clinical Findings ◽

Accurate Diagnosis ◽

Radiological Findings ◽

Breast Masses ◽

Appropriate Treatment ◽

Magnetic Resonance Imaging Mri ◽

Type 3 ◽

And Diffusion

Abstract Background Breast involvement of hematological malignancies is a very rare entity. Accurate diagnosis is essential for appropriate treatment. The aim of this study was to clarify the clinical and radiological findings of hematological malignancy breast involvement and to describe possible pitfalls in diagnosis. Results The images of 20 patients with breast involvement of hematological malignancies were retrospectively evaluated on ultrasonography, mammography, and magnetic resonance imaging (MRI) and the findings were reported. Bilaterality was seen only in cases with secondary involvement, and there was no marked difference between primary and secondary breast involvement of hematological malignancies. All patients underwent ultrasonography examination. According to ultrasonography, breast masses were most frequently irregular in shape (11/20, 55%) with non-circumscribed margins (11/20, 55%). Posterior acoustic enhancement was noted in 14 cases (70%). Posterior shadowing was not observed in any of the patients. Mammography was available in 10 patients. Microcalcification was not observed in any patient on mammography. MRI was available in four patients. Hyperintensity in T2-weighted images, type 2 or type 3 dynamic curve, and diffusion restriction were observed in all cases. Conclusions Hematological malignancies may mimic both benign breast lesions and breast carcinoma. Familiarity with the radiological features of hematological malignancies can help accurate diagnosis.

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