Breast Imaging

2018 ◽  
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Medical Physics ◽  
Breast Mri ◽  
Imaging Features ◽  
Comprehensive Overview ◽  
Multiple Imaging ◽  
Breast Cancer Epidemiology ◽  
Management Recommendations ◽  
Basic Medical

This textbook provides a comprehensive overview of breast imaging, a subspecialty of radiology dedicated to breast cancer screening, diagnosis, and treatment management. Overview chapters provide the fundamentals of breast cancer epidemiology, pathophysiology, screening, staging, and treatment, in addition to the fundamentals of mammography, tomosynthesis, breast ultrasound, and breast MRI. The basic medical physics relevant to breast imaging are covered, as are the basics of imaging quality control. The remaining chapters are organized by individual imaging findings, with review of key imaging features, imaging protocols, pitfalls, differential diagnoses, and management recommendations. Each type of breast imaging-guided interventional procedures are covered in dedicated chapters. This efficient textbook is heavily weighted towards providing multiple imaging examples with short summaries and bullet points, providing an easy, effective overview of the subspecialty for radiologists both in training and in practice.

Molecular Breast Imaging: A Scientific Review

2021 ◽  
Author(s):  
Katie N Hunt
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Breast Mri ◽  
Cancer Staging ◽  
Scientific Review ◽  
Molecular Breast Imaging ◽  
Breast Cancer Staging ◽  
Fast Learning ◽  
Technical Advances ◽  
History Of

Abstract Molecular breast imaging (MBI) is a nuclear medicine technique that has evolved considerably over the past two decades. Technical advances have allowed reductions in administered doses to the point that they are now acceptable for screening. The most common radiotracer used in MBI, 99mTc-sestamibi, has a long history of safe use. Biopsy capability has become available in recent years, with early clinical experience demonstrating technically successful biopsies of MBI-detected lesions. MBI has been shown to be an effective supplemental screening tool in women with dense breasts and is also utilized for breast cancer staging, assessment of response to neoadjuvant chemotherapy, problem solving, and as an alternative to breast MRI in women who have a contraindication to MRI. The degree of background parenchymal uptake on MBI shows promise as a tool for breast cancer risk stratification. Radiologist interpretation is guided by a validated MBI lexicon that mirrors the BI-RADS lexicon. With short interpretation times, a fast learning curve for radiologists, and a substantially lower cost than breast MRI, MBI provides many benefits in the practices in which it is utilized. This review will discuss the current state of MBI technology, clinical applications of MBI, MBI interpretation, radiation dose associated with MBI, and the future of MBI.

scholarly journals Value of Magnetic Resonance Imaging Features in Diagnosis and Treatment of Breast Cancer under Intelligent Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Shuang Liu ◽  
Min Tang ◽  
Shuqin Ruan ◽  
Feng Wei ◽  
Jiaxi Lu
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Breast Mri ◽  
Imaging Features ◽  
Mri Imaging ◽  
Resonance Imaging ◽  
Intelligent Algorithms ◽  
Mri Diagnosis ◽  
Diagnosis Model ◽  
Mri Image

This study was to analyze the clinical application value of magnetic resonance imaging (MRI) image features based on intelligent algorithms in the diagnosis and treatment of breast cancer and to provide an effective reference assessment for breast cancer diagnosis. The MRI diagnosis model (ACO-MRI) based on the ant colony algorithm (ACO) was proposed, which was compared with the diagnosis methods based on support vector machine (SVM) and proximity (KNN) algorithm, and the proposed algorithm was applied to MRI images to diagnose breast cancer. The results showed that the accuracy, sensitivity, and specificity of the ACO-MRI model were greater than those of the KNN and SVM algorithm. Moreover, the specificity was statistically considerable compared with the two algorithms of KNN and SVM ( P < 0.05 ). By comparing 1/5 number of ants and the average gray path of the ACO-MRI model under 1/8 number of ants, it was found that the average gray path value of 1/8 number of ants was greatly higher than the average gray path value of 1/5 number of ants ( P < 0.05 ). The differences in the overall distribution of breast MRI imaging features among Luminal A, Luminal B, HER-2 overexpression, and TN were compared. There were considerable differences in the overall distribution of the three breast MRI imaging features of the boundaries, morphology, and enhancement methods among the four groups ( P < 0.05 ). In short, MRI image based on the intelligent algorithm ACO-MRI diagnosis model can effectively improve the diagnosis effect of breast cancer. Its image feature boundaries, morphology, and enhancement methods had good imaging features in the diagnosis of breast cancer.

scholarly journals Breast Imaging During Pregnancy and Lactation

2019 ◽  
Vol 1 (4) ◽  
pp. 342-351
Author(s):  
Lisa Abramson ◽  
Lindsey Massaro ◽  
J Jaime Alberty-Oller ◽  
Amy Melsaether
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Treatment Options ◽  
Nipple Discharge ◽  
Cancer Staging ◽  
Imaging Features ◽  
Breast Cancers ◽  
Bloody Nipple Discharge ◽  
Breast Cancer Staging ◽  
Pregnancy And Lactation

Abstract Breast imaging during pregnancy and lactation is important in order to avoid delays in the diagnosis and treatment of pregnancy-associated breast cancers. Radiologists have an opportunity to improve breast cancer detection by becoming familiar with appropriate breast imaging and providing recommendations to women and their referring physicians. Importantly, during pregnancy and lactation, both screening and diagnostic breast imaging can be safely performed. Here we describe when and how to screen, how to work up palpable masses, and evaluate bloody nipple discharge. The imaging features of common findings in the breasts of pregnant and lactating women are also reviewed. Finally, we address breast cancer staging and provide a brief primer on treatment options for pregnancy-associated breast cancers.

Triple-negative invasive breast cancer (TNBC): Mammographic, US, and MR imaging features according to androgen receptor (AR) expression.

2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 159-159
Author(s):  
Woo Kyung Moon
Keyword(s):  
Breast Cancer ◽  
Mr Imaging ◽  
Breast Imaging ◽  
Gene Signature ◽  
Irregular Shape ◽  
Consecutive Series ◽  
Imaging Features ◽  
Breast Cancers ◽  
Pathologic Features ◽  
Chi Squared

159 Background: A subset of TNBC is characterized by an androgen gene signature and early clinical trials have demonstrated clinical benefit with the use of the AR antagonist, bicalutamide, for the treatment of patients with AR+, estrogen receptor/progesterone receptor- breast cancer. Methods: AR expression was assessed immunohistochemically in 125 patients (median age; 54 years, range; 26-82 years) with TNBC from a consecutive series of 1,086 operable invasive breast cancers. Two experienced breast imaging radiologists (6 and 24 years of experience, respectively) reviewed the mammograms, US, and MR images without knowledge of clinicopathologic findings. The imaging and pathologic features of 33 AR-positive TNBCs were compared with those of 92 AR-negative TNBCs by using the Fisher’s exact or chi-squared tests. Results: AR expression in TNBC is significantly associated with mammographic findings (P < 0.001), lesion type at MR imaging (P < 0.001), and mass shape or margin at ultrasound (P < 0.001; P= 0.002). The highest PPVs for AR-positive cancer were non-mass enhancement on MR imaging (PPV, 1.00; 95% CI: 0.61, 1.00), calcifications only seen on mammography (PPV, 1.00; 95% CI: 0.37, 1.00), and spiculated masses on US (PPV, 1.00; 95% CI: 0.22, 1.00). Conclusions: AR-positive and AR-negative tumors have distinct imaging features in TNBC. The presence of calcifications or focal asymmetries at mammography, the presence of echogenic halo or non-complex hypoechoic masses at US, masses with irregular shape or indistinct margins at mammography and US, and masses with irregular shape or spiculated margins, or non-mass lesions at MR imaging were associated with AR expression in TNBC. These imaging features may be used to predict AR status, which could assist in treatment planning, prediction of response, and assessment of prognosis for patients with TNBC.

Magnetic Resonance Imaging of the Breast

2001 ◽  
Vol 8 (5) ◽  
pp. 399-406 ◽  
Author(s):  
Christopher P. Goscin ◽  
Claudia G. Berman ◽  
Robert A. Clark
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Clinical Studies ◽  
Breast Imaging ◽  
Breast Mri ◽  
Resonance Imaging ◽  
Valuable Adjunct ◽  
Interpretation Criteria ◽  
Contrast Enhanced

Background Magnetic resonance imaging (MRI) has the potential to become a useful adjunct in breast imaging. Contrast-enhanced breast MRI has demonstrated a high sensitivity in the detection of invasive breast cancer. In clinical studies, breast MRI has often altered the course of patient care. Although promising results have been generated, MRI of the breast is currently in a development stage. Methods The authors reviewed the literature on the potential indications, sensitivity, specificity, and limitations of MRI of the breast. Results Reported advantages of MRI of the breast over conventional imaging techniques include improved staging and treatment planning, enhanced evaluation of the augmented breast, better detection of recurrence, and improved screening of high-risk women. Contrast-enhanced breast MRI is a sensitive modality for detecting breast cancer, but its variable specificity is a major limitation. Conclusions MRI of the breast is emerging as a valuable adjunct to mammography and sonography for specific clinical indications. Additional clinical studies that define indications, interpretation criteria, imaging parameters, and cost effectiveness are needed. A multi-institutional study designed to address these issues is in progress.

scholarly journals Anatomical Breast Imaging Derived Parameters Do Not Provide Incremental Information In Prediction of Nonvisualization of Sentinel Lymph Nodes On Lymphoscintigraphy

2022 ◽  
Author(s):  
Youssef Chahid ◽  
Hein J. Verberne ◽  
Edwin Poel ◽  
N. Harry Hendrikse ◽  
Jan Booij
Keyword(s):  
Breast Cancer ◽  
Retrospective Study ◽  
Cancer Patients ◽  
Breast Imaging ◽  
Multivariable Analysis ◽  
Breast Mri ◽  
Breast Cancer Patients ◽  
Incremental Information ◽  
Breast Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri

Abstract Background: Accurate sentinel lymph node (SLN) staging is essential for both prognosis and treatment in patients with breast cancer. However, the preoperative lymphoscintigraphy may fail to visualize the SLN. The aim of this retrospective study was to investigate whether parameters derived from anatomical breast imaging can predict SLN nonvisualization on lymphoscintigraphy. For this single-center retrospective study all data of mammography, breast magnetic resonance imaging (MRI), and lymphoscintigraphy of SLN procedures from January 2016 to April 2021 were collected and reviewed from the Amsterdam UMC electronic health records database.Results: A total of 758 breast cancer patients were included in this study. The SLN nonvisualization rate was 29.7% on lymphoscintigraphy. Multivariable analysis showed that age ≥ 70 years (P = 0.019; OR: 1.82; 95% CI: 1.10–3.01), BMI ≥ 30 kg/m2 (P = 0.031; OR: 1.59; 95% CI: 1.04–2.43), and nonpalpable tumors (P = 0.034; OR: 1.54; 95% CI: 1.03–2.04) were independent predictors of SLN nonvisualization. Differences in tumor size, Breast Imaging-Reporting and Data System (BI-RADS) classification, or breast density were not significantly associated with SLN nonvisualization.Conclusions: This study shows that, by using a multivariable analysis, risk factors for SLN nonvisualization in breast cancer patients during preoperative lymphoscintigraphy are age ≥70 years, BMI ≥30 kg/m2, and nonpalpable tumors. Parameters derived from mammography or breast MRI, however, are not useful to predict SLN nonvisualization on lymphoscintigraphy.

scholarly journals Relationship Between Clustered Ring Nonmass Enhancement of Breast MRI and Prognostic Molecular Biomarkers in Breast Cancer

2022 ◽  
Author(s):  
Mei-Lin Wang ◽  
Yu-Pin Chang ◽  
Chuan-Han Chen ◽  
Ming-Cheng Liu ◽  
Chen-Hao Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Univariate Analysis ◽  
Breast Mri ◽  
Molecular Biomarkers ◽  
Response To Therapy ◽  
Biological Behavior ◽  
Pathology Report ◽  
Breast Lesions ◽  
Imaging Features ◽  
Expression Ratio

Abstract BackgroundClustered ring enhancement (CRE) of breast MRI is a lexicon of nonmass enhancement (NME) representing tendency of breast cancer and molecular biomarkers are predictors of response to therapy. The purpose of this study was to retrospectively determine the relationship between CRE NME and prognostic molecular biomarkers in breast cancer.MethodsRetrospective analysis of 58 breast lesions in 56 female patients between July 2013 and December 2018 was performed in our institution. Cases with MRI reporting NME in the text were collected via searching the report database. The patterns of enhancement including CRE on breast MRI were reviewed by a radiologist blinded to pathology report. The pathological results and expression of molecular biomarkers were collected. Univariate analysis was applied to evaluate the association between MRI NME imaging features, pathological and IHC stain findings.Results58 Breast lesions were pathologically proven breast carcinoma, and 31 lesions with CRE and 27 lesions without CRE on breast MRI. The expression of estrogen receptor (ER) (P=0.017) and progesterone receptor (PR) (P=0.017) was significantly lower in lesions with CRE compared with those without CRE. The expression of Ki-67 (≥ 25%) was significantly higher in lesions with CRE(P=0.046). The lesions with CRE have a lower expression ratio of ER (50.71 ± 45.39% vs. 74.26 ± 33.59%, p= 0.028).ConclusionOur results indicated that lesions with CRE may possess different features from those without CRE in molecular expression. They tend to bear a more aggressive biological behavior.

Diagnostic Breast Imaging and Breast Cancer Staging

2019 ◽  
Author(s):  
Nidhi Sharma
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Breast Mri ◽  
Cancer Staging ◽  
The United States ◽  
Patient Treatment ◽  
Architectural Distortion ◽  
Diagnostic Modality ◽  
Cancer Breast

This review is geared to provide surgeons practical insight on breast imaging, intended to improve breast cancer detection and staging. Breast cancer is a leading cause of death in women in the United States. The American Joint Committee on Cancer staging system provides a tumor-node-metastasis classification that helps in determining prognosis and patient treatment. There is an increasing role of radiologists in ascertaining the correct cancer stage. Screening mammography is the basic tool and most widely used modality to detect breast cancer. The diagnostic work-up of a patient recalled from screening is the next step in assessing the artifacts and benign findings from more suspicious lesions. Additional mammographic views, tomosynthesis, and ultrasonography play an important role in determining if the finding represents a true lesion and if so, to localize and determine its level of suspicion to be cancer. Breast MRI is used both as a screening tool and a diagnostic modality to help in cancer detection and treatment planning. Recognizing patterns of benign masses, malignant calcifications, architectural distortion, and masses via a multimodality approach is the essential first step in further diagnosis. A quick overview of common interventional breast procedures may serve as a practical reference for the readers. This review contains 10 figures, 8 tables, and 39 references. Key Words: breast cancer, breast MRI, breast ultrasonography, fibroadenoma, invasive ductal staging, male breast, mammograms, postoperative breast, screening

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