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The nipple-areolar complex (NAC) is an anatomically unique region from which several normal variants and pathologies arise. Understanding its anatomy is crucial for accurate clinical and imaging assessments, aiding with differential diagnosis, and ensuring radiologic-pathologic concordance. Mammography and US are commonly used for NAC evaluation; however, these are susceptible to technical limitations such as tissue superimposition and artifacts, compromising visualization of abnormalities in this area. Although MRI offers higher sensitivity, it is not the initial evaluation modality. A comprehensive clinical inspection is necessary because it may reveal abnormalities not apparent on imaging. This article offers an anatomical approach to the NAC evaluation, simplifying differential diagnoses by reviewing imaging techniques and clinical features of common NAC abnormalities., (© Society of Breast Imaging 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Radial sclerosing lesions (RS, also referred to as "radial scars") and complex sclerosing lesions (CSL) are uncommon breast lesions often grouped together as a single entity in practice. RS/CSL have an incidence of <0.1% to 1% at core needle biopsy (CNB). When detected on CNB, imaging and pathology features must be carefully evaluated to determine appropriate surgical management or imaging follow-up due to potential for malignant upgrade at surgery. Detection of RS/CSL has increased with the advent of tomosynthesis, in which an RS/CSL is typically detected as architectural distortion with or without associated mass with spiculated margins. On US, an RS/CSL is most often occult or manifests as subtle distortion with adjacent cysts. Imaging findings cannot distinguish benign RS/CSL from those upgraded to malignancy at surgery, although larger lesion size may be associated with higher upgrade rates. Histologically, an RS has a central fibroelastotic nidus with entrapped-appearing ducts and proliferative changes at the periphery appearing to radiate from the center; CSL are larger than RS, more disorganized, and typically include multiple patterns of epithelial proliferations, including sclerosing adenosis, sclerosing papillomas, usual ductal hyperplasia, and cysts. RS/CSL with associated atypia at CNB have a 16%to 29% rate of upgrade to malignancy on surgical excision, thus rendering surgical excision essential. Conversely, an RS/CSL without associated atypia, particularly when ≤1 cm in size, has <3% rate of upgrade to malignancy at surgery, allowing consideration of imaging follow-up in lieu of excision. Here, we review recent literature as well as radiology and pathology findings of RS/CSL., (© Society of Breast Imaging 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Pseudoangiomatous stromal hyperplasia (PASH) is a rare, benign breast lesion characterized by collagen proliferation, often identified as an incidental microscopic finding. Clinically, it may present as a palpable, well-defined breast mass or, in rare instances, as a diffuse, bilateral process leading to significant breast enlargement. We herein report a case of extensive diffuse PASH with short-term recurrence following lesion resection at another hospital. Because of the severity of symptoms, the patient underwent bilateral mastectomy at our facility. This article reviews the clinical, radiologic, and pathologic features of PASH and emphasizes the importance of an accurate preoperative imaging diagnosis for guiding appropriate treatment., Competing Interests: Declaration of conflicting interestThe authors declare that there is no conflict of interest.

Many benign and malignant breast entities can present with diffuse unilateral magnetic resonance imaging (MRI) findings. The unilateral breast findings can be broken down into three broad categories including asymmetric diffuse masses/non-mass enhancement (NME), diffuse unilateral skin thickening, and diffuse asymmetric background enhancement. Although correlation with clinical history is always necessary, biopsy is often needed to make a definitive diagnosis. There are some findings on MRI which can help narrow the differential including morphology, distribution, T2W signal, enhancement kinetics, and associated skin thickening. Malignant entities which will be discussed in this review include ductal carcinoma in situ, invasive ductal carcinoma, invasive lobular carcinoma, Paget disease, inflammatory breast cancer, and locally advanced breast cancer. Benign entities which will be discussed in this review include idiopathic granulomatous mastitis (IGM), infectious mastitis, pseudoangiomatous stromal hyperplasia, giant fibroadenoma, early and late radiation changes, unilateral breast feeding, and central venous obstruction, all which have varied MRI appearances. It is important for radiologists to be familiar with the common entities that can present with diffuse asymmetric unilateral MRI breast findings to ensure the correct diagnosis and management is undertaken., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objective: This study is focused on ultrasound multimodality examination, which refers to the combined use of three ultrasound examination modalities, ultrasound (US), acoustic radiation force impulse (ARFI) imaging, and contrast-enhanced ultrasound (CEUS). The purpose of this study is to analyze the value of applying ultrasound multimodality examination in the differential diagnosis of benign and malignant breast non-mass-like lesions (NMLs)., Methods: Cases of breast NMLs were analyzed retrospectively, and the nature of all the lesions was verified by pathological examination. Based on the gray-scale ultrasound image characteristics, the cases were classified into types Ⅰ to Ⅴ, and type Ⅰ and type Ⅱ were further classified into 4 subtypes, Ⅰa, Ⅰb, Ⅱa, and Ⅱb, according to whether there was also calcification, and the proportion of malignant cases in each subtype was statistically analyzed. Logistic regression models of US, US+ARFI, US+CEUS, and US+ARFI+CEUS for the diagnosis of malignant cases were established, ROC curves were drawn, the area under the curve (AUC) was calculated, and comparisons were made accordingly. The detection rate of malignant NMLs without calcification (atypical malignant NMLs) by the combination examination of US, ARFI, and CEUS was analyzed., Results: A total of 407 cases were included in the study. All subjects were female, aged 22 to 81 years, with the average age being (47.0±11.0) years. There were 220 benign cases and 187 malignant cases. Ranked from the highest to the lowest, the malignancy proportion of the different types was Ⅰb>Ⅱb>Ⅲ>Ⅴ>Ⅰa>Ⅱa>Ⅳ. The malignant proportion of the low echo area with calcification was significantly higher than that of the lesions without calcification. The AUC (95% confidence interval [CI]) for diagnosing malignant cases with the logistic regression models of US, US+ARFI, US+CEUS, and US+ARFI+CEUS were 0.895 (0.862-0.927), 0.908 (0.878-0.937), 0.921 (0.893-0.948), and 0.927 (0.902-0.952), respectively. Comparison of the AUC of the 4 regression models showed significant differences ( P <0.001). The detection rate of US for NMLs without calcification was 80.7%. When US was used in combination with ARFI and CEUS, 86.4% of the malignant NMLs lesions without calcification could be detected if the lesion CEUS score was 4 or 5 points or if shear-wave velocity (SWV)≥4.28 m/s., Conclusion: Breast NMLs with calcification show high risks of malignancy, and a pathological examination is always recommended for a conclusive diagnosis. Ultrasound multimodality examination can improve the diagnostic accuracy of breast NML without calcification., Competing Interests: 利益冲突　所有作者均声明不存在利益冲突, (© 2024《四川大学学报（医学版）》编辑部 版权所有Copyright ©2024 Editorial Office of Journal of Sichuan University (Medical Sciences).)

Objective: To retrospectively analyze the clinical practicability and value of ultrasound-guided minimally invasive catheterization combined with compound Phellodendron Phellodendri liquid in the treatment of breast abscess during lactation., Methods: 139 patients with lactational breast abscess discharged from our hospital from January 2021 to November 2023 were selected. We divided them into groups according to treatment methods, analyzed whether there were statistical differences in observation indexes among groups and the risk factors affecting breastfeeding rate and treatment satisfaction., Results: We found that numerical rating scale(NRS) score and incidence of breast fistula in group A were significantly lower than other, the continuous decrease of postoperative drainage in group A was higher than other, there were significant differences among groups (p<0.001). Univariate analysis showed that recovery time, drainage tube placement time, postoperative redness and swelling regression time, scar length, and VAS score of six groups were statistically significant (p<0.001). We found that the overall satisfaction and the rate of continued breastfeeding in group A (96.2%) were higher than other, the differences were statistically significant(p<0.05). Logistic regression analysis revealed that the significant risk factors influencing treatment satisfaction included the time of drainage tube placement, postoperative redness and swelling regression time, treatment group, surgical method, NRS score on the first day after operation, postoperative drainage volume, healing time, scar length, flushing drugs, and VAS score. Postoperative redness and swelling regression time, treatment group, operation method and VAS score are all risk factors that influence the outcome of breastfeeding., Conclusion: Ultrasound-guided minimally invasive catheterization combined with compound cortex phellodendri fluid in the treatment of breast abscess during lactation can not only reduce the pain caused by dressing change, but also offer numerous advantages, including shorter healing time, beautiful appearance, lower incidence of breast fistula, high satisfaction and high rate of continued breastfeeding., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

· Breast MRI is an essential part of breast imaging. · The recommendations for performing breast MRI have been updated. · A table provides a compact and quick overview. More detailed comments supplement the table.. · The "classic" breast MRI can be performed based on the recommendations. Tips for special clinical questions, such as implant rupture, mammary duct pathology or local lymph node status, are included.. CITATION FORMAT: · Wenkel E, Wunderlich P, Fallenberg E et al. Aktualisierung der Empfehlungen der AG Mammadiagnostik der Deutschen Röntgengesellschaft zur Durchführung der Mamma-MRT. Fortschr Röntgenstr 2024; 196: 939 - 944., Competing Interests: Die Autorinnen/Autoren geben an, dass kein Interessenkonflikt besteht., (Thieme. All rights reserved.)

Objectives: Mammographic breast arterial calcification (BAC) is an emerging imaging biomarker of cardiovascular disease (CVD) risk in women. The purpose of this study was to assess if breast radiation therapy (RT) exposure impacts the screening utility of this imaging biomarker., Methods: This cross-sectional study included women ages 40-75 years who underwent index screening mammography between January 1, 2011 and December 31, 2012. Chart review was performed to extract data on the breast cancer RT exposure and CVD risk factors. Mammograms were reviewed for the presence of BAC. Multivariate logistic regression was used to examine breast RT exposure and BAC, with adjustment for age, body mass index, smoking status, hypertension, Type 2 diabetes, statin medication use, and antihypertensive medication use., Results: Of the 1155 women included in this analysis, 222 (19.2%) had mammographic evidence of BAC, 122 (10.6%) had a history of RT exposure, and 39 (32%) women with RT exposure had mammographic BAC. Women with breast RT exposure had higher odds of BAC compared to women without (odds ratio: 2.18, 95% CI: 1.43, 3.28; P-value = .0008). However, this association became non-significant after multivariable adjustment, with the maximally adjusted model demonstrating an odds ratio of 1.52 (95% CI: 0.95, 2.40; P-value = .07)., Conclusions: Our findings suggest that breast RT exposure does not impact the prevalence of mammographic BAC. Therefore, it does not affect its utility as an imaging biomarker of CVD risk., Advances in Knowledge: This is the first observational study addressing the knowledge gap pertaining to the influence of breast RT exposure on BAC., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Institute of Radiology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Purpose: To characterize associations of microcalcifications (calcs) with benign breast disease lesion subtypes and assess whether tissue calcs affect risks of ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC)., Methods: We analyzed detailed histopathologic data for 4,819 BBD biopsies from a single institution cohort (2002-2013) followed for DCIS or IBC for a median of 7.4 years for cases (N = 338) and 11.2 years for controls. Natural language processing was used to identify biopsies containing calcs based on pathology reports. Univariable and multivariable regression models were applied to assess associations with BBD lesion type and age-adjusted Cox proportional hazard regressions were performed to model risk of IBC or DCIS stratified by the presence or absence of calcs., Results: Calcs were identified in 2063 (42.8%) biopsies. Calcs were associated with older age at BBD diagnosis (56.2 versus 49.0 years; P < 0.001). Overall, the risk of developing IBC or DCIS did not differ significantly between patients with calcs (HR 1.13, 95% CI 0.90, 1.41) as compared to patients without calcs. Stratification by BBD severity or subtype, age at BBD biopsy, outcomes of IBC versus DCIS, and mammography technique (screen-film versus full-field digital mammography) did not significantly alter association between calcs and risk., Conclusion: Our analysis of calcs in BBD biopsies did not find a significant association between calcs and risk of breast cancer., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objectives: Clinical experience regarding the use of dedicated photon-counting breast CT (PC-BCT) for diagnosis of breast microcalcifications is scarce. This study systematically compares the detection and classification of breast microcalcifications using a dedicated breast photon-counting CT, especially designed for examining the breast, in comparison with digital breast tomosynthesis (DBT)., Materials and Methods: This is a prospective intraindividual study on women with DBT screening-detected BI-RADS-4/-5 microcalcifications who underwent PC-BCT before biopsy. PC-BCT images were reconstructed with a noninterpolated spatial resolution of 0.15 × 0.15 × 0.15 mm (reconstruction mode 1 [RM-1]) and with 0.3 × 0.3 × 0.3 mm (reconstruction mode 2 [RM-2]), plus thin-slab maximum intensity projection (MIP) reconstructions. Two radiologists independently rated the detection of microcalcifications in direct comparison with DBT on a 5-point scale. The distribution and morphology of microcalcifications were then rated according to BI-RADS. The size of the smallest discernible microcalcification particle was measured. For PC-BCT, the average glandular dose was determined by Monte Carlo simulations; for DBT, the information provided by the DBT system was used., Results: Between September 2022 and July 2023, 22 participants (mean age, 61; range, 42-85 years) with microcalcifications (16 malignant; 6 benign) were included. In 2/22 with microcalcifications in the posterior region, microcalcifications were not detectable on PC-BCT, likely because they were not included in the PC-BCT volume. In the remaining 20 participants, microcalcifications were detectable. With high between-reader agreement (κ > 0.8), conspicuity of microcalcifications was rated similar for DBT and MIPs of RM-1 (mean, 4.83 ± 0.38 vs 4.86 ± 0.35) ( P = 0.66), but was significantly lower ( P < 0.05) for the remaining PC-BCT reconstructions: 2.11 ± 0.92 (RM-2), 2.64 ± 0.80 (MIPs of RM-2), and 3.50 ± 1.23 (RM-1). Identical distribution qualifiers were assigned for PC-BCT and DBT in 18/20 participants, with excellent agreement (κ = 0.91), whereas identical morphologic qualifiers were assigned in only 5/20, with poor agreement (κ = 0.44). The median size of smallest discernible microcalcification particle was 0.2 versus 0.6 versus 1.1 mm in DBT versus RM-1 versus RM-2 ( P < 0.001), likely due to blooming effects. Average glandular dose was 7.04 mGy (PC-BCT) versus 6.88 mGy (DBT) ( P = 0.67)., Conclusions: PC-BCT allows reliable detection of in-breast microcalcifications as long as they are not located in the posterior part of the breast and allows assessment of their distribution, but not of their individual morphology., Competing Interests: Conflicts of interest: none declared., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Artifacts and foreign bodies can mimic microcalcifications. We report a series of 17 postsurgical women in whom mammograms showed fine linear radiodensities at the surgical bed. Vacuum-assisted biopsy histopathology of one of the lesions showed foreign bodies of different sizes with macrophage reaction. After discussion with the surgeons, we ascertained that a particular type of gauze was used that had fragmented, and we reproduced the mammographic appearance in a chicken breast. Furthermore, we showed the same pathology was reproduced in mice implanted with the gauze threads. It is important to be aware of this entity to avoid unnecessary examinations and even biopsy. The presence of foreign body linear gauze fragments at the surgical site can pose challenges in the mammographic follow-up of these patients., (© Society of Breast Imaging 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

With the growing utilization and expanding role of breast MRI, breast imaging radiologists may encounter an increasing number of incidental findings beyond the breast and axilla. Breast MRI encompasses a large area of anatomic coverage extending from the lower neck to the upper abdomen. While most incidental findings on breast MRI are benign, identifying metastatic disease can have a substantial impact on staging, prognosis, and treatment. Breast imaging radiologists should be familiar with common sites, MRI features, and breast cancer subtypes associated with metastatic disease to assist in differentiating malignant from benign findings. Furthermore, detection of malignancies of nonbreast origin as well as nonmalignant, but clinically relevant, incidental findings can significantly impact clinical management and patient outcomes. Breast imaging radiologists should consistently follow a comprehensive search pattern and employ techniques to improve the detection of these important incidental findings., (© Society of Breast Imaging 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: Breast arterial calcifications (BAC) are common incidental findings on routine mammograms, which have been suggested as a sex-specific biomarker of cardiovascular disease (CVD) risk. Previous work showed the efficacy of a pretrained convolutional network (CNN), VCG16, for automatic BAC detection. In this study, we further tested the method by a comparative analysis with other ten CNNs., Material and Methods: Four-view standard mammography exams from 1,493 women were included in this retrospective study and labeled as BAC or non-BAC by experts. The comparative study was conducted using eleven pretrained convolutional networks (CNNs) with varying depths from five architectures including Xception, VGG, ResNetV2, MobileNet, and DenseNet, fine-tuned for the binary BAC classification task. Performance evaluation involved area under the receiver operating characteristics curve (AUC-ROC) analysis, F 1 -score (harmonic mean of precision and recall), and generalized gradient-weighted class activation mapping (Grad-CAM++) for visual explanations., Results: The dataset exhibited a BAC prevalence of 194/1,493 women (13.0%) and 581/5,972 images (9.7%). Among the retrained models, VGG, MobileNet, and DenseNet demonstrated the most promising results, achieving AUC-ROCs > 0.70 in both training and independent testing subsets. In terms of testing F 1 -score, VGG16 ranked first, higher than MobileNet (0.51) and VGG19 (0.46). Qualitative analysis showed that the Grad-CAM++ heatmaps generated by VGG16 consistently outperformed those produced by others, offering a finer-grained and discriminative localization of calcified regions within images., Conclusion: Deep transfer learning showed promise in automated BAC detection on mammograms, where relatively shallow networks demonstrated superior performances requiring shorter training times and reduced resources., Relevance Statement: Deep transfer learning is a promising approach to enhance reporting BAC on mammograms and facilitate developing efficient tools for cardiovascular risk stratification in women, leveraging large-scale mammographic screening programs., Key Points: • We tested different pretrained convolutional networks (CNNs) for BAC detection on mammograms. • VGG and MobileNet demonstrated promising performances, outperforming their deeper, more complex counterparts. • Visual explanations using Grad-CAM++ highlighted VGG16's superior performance in localizing BAC., (© 2024. The Author(s).)

Breast tuberculosis is a rare extrapulmonary manifestation of Mycobacterium tuberculosis , representing less than 0.1% of all breast pathologies in developed countries. However, in regions with high tuberculosis prevalence, such as India and Africa, its incidence is higher. The disease poses diagnostic challenges due to its ability to mimic breast carcinoma, leading to potential misdiagnosis and unnecessary surgical interventions. This study investigates the clinical and imaging characteristics of breast tuberculosis in a large cohort, with a specific focus on a rare case in a postmenopausal woman. A retrospective observational study was conducted on 1704 women who presented for mammography at the Alessandrescu-Rusescu National Institute for Mother and Child Health between 2019 and 2021. Clinical presentation, imaging results, and histopathological findings were analyzed to identify cases of breast tuberculosis. The study includes a comparative analysis with other granulomatous diseases and malignant breast conditions to highlight key diagnostic features. Among the 1704 patients, 714 (41.9%) presented with symptoms such as pain (35.4%), palpable lumps (13.2%), nipple discharge (4.3%), and breast appearance changes (2.1%). A rare case of primary breast tuberculosis was identified in a 69-year-old postmenopausal woman, presenting with a painless, palpable mass in the upper outer quadrant. Imaging demonstrated a hypoechoic mass with fine granular content and posterior acoustic enhancement, categorized as BIRADS 4A. The biopsy confirmed the diagnosis of breast tuberculosis. This study underscores the diagnostic complexity of breast tuberculosis, particularly in its ability to mimic malignancy. Through detailed imaging and clinical analysis, we emphasize the importance of biopsy in differentiating tuberculosis from breast cancer. Given the potential for misdiagnosis, clinicians should consider breast tuberculosis in differential diagnoses, especially in regions with high tuberculosis prevalence. Further research is needed to develop specific imaging criteria for earlier and more accurate diagnosis., Competing Interests: The authors declare no conflict of interest., (© 2024 The Author(s).)

Background: Fibroadenoma (FA) is documented as the most common benign breast disease typically presenting as a lump. A wide variety of other diseases including breast cancer can similarly present as lumps hence the need for further differentiation. Ultrasonography plays a vital role in the evaluation and treatment of breast lumps with histological analysis as the gold standard., Objective: This study compared the physical and sonographic features of the breast in women with FA and women with breast lumps due to other diseases., Materials and Methods: This is a single-centre comparative study. Clinical and sonographic breast evaluations of the recruited patients with lumps were done and reported using the American College of Radiology Breast Imaging Reporting and Data System score. The lumps were biopsied, and histological diagnosis was documented. Clinical and imaging features of the breasts of women with FA were then compared with those of women with lumps from other breast diseases, and collated data were analysed using SPSS Statistical version 23.0., Results: Data from 118 subjects (59 in each group) were used for this study. There was a significant difference in the physical and sonographic appearance of FA concerning the patient's age, parity, change in lesion size, perilesional architecture, echogenicity, borders, capsule and background breast density. No FA was found in women with less dense breasts., Conclusion: The sonographic features of breasts showed some differences from the corresponding features of FA and other breast lesions. This has the potential to increase the efficiency of pre-operative diagnosis of FA and could be further applied in developing diagnostic criteria for FA in our environment., (Copyright © 2024 Copyright: © 2024 Nigerian Postgraduate Medical Journal.)

Papillary endothelial hyperplasia (PEH) or Masson's tumor is a rare benign vascular tumor that usually appears in the soft tissues of the head and neck, trunk and extremities, being extremely rare in the breast. Its diagnosis can be a challenge, especially in the follow-up of patients with previous disease of breast carcinoma. We present the case of a 65-year-old patient, with a history of bilateral breast cancer and reconstruction with implants, who presented a Masson's tumor during follow-up. An ultrasound scan was performed, showing a well-circumscribed mass in the left breast, located in the posterior contour of the implant. Subsequently, magnetic resonance imaging (MR) depicted an enhancing tumor, without infiltration of adjacent structures. Finally, the definitive anatomopathological diagnosis was obtained after surgical excision., (Copyright © 2023 SERAM. Published by Elsevier España, S.L.U. All rights reserved.)

Background: Not all the breast lesions were mass-like, some were non-mass-like at ultrasonography. In these lesions, conventional ultrasonography had a high sensitivity but a low specificity. Sonoelastography can evaluate tissue stiffness to differentiate malignant masses from benign ones. Then what about the non-mass lesions? The aim of this study was to evaluate the current accuracy of sonoelastography in the breast non-mass lesions and compare the results with those of the American College of Radiology breast Imaging-Reporting and Data System (BI-RADS)., Methods: An independent literature search of English medical databases, including PubMed, Web of Science, Embase & MEDLINE (Embase.com) and Cochrane Library, was performed by 2 researchers. The accuracy of sonoelastography was calculated and compared with those of BI-RADS., Results: Fourteen relevant studies including 1058 breast non-mass lesions were included. Sonoelastography showed a pooled sensitivity of 0.74 (95% CI: 0.70-0.78), specificity of 0.89 (95% CI: 0.85-0.91), diagnostic odds ratio (DOR) of 25.22 (95% CI: 17.71-35.92), and an area under the curve of 0.9042. Eight articles included both sonoelastography and BI-RADS. The pooled sensitivity, specificity, DOR and AUC were 0.69 versus 0.91 (P < .01), 0.90 versus 0.68 (P < .01), 19.65 versus 29.34 (P > .05), and 0.8685 versus 0.9327 (P > .05), respectively., Conclusions: Sonoelastography has a higher specificity and a lower sensitivity for differential diagnosis between malignant and benign breast non-mass lesions compared with BI-RADS, although there were no differences in AUC between them., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Purpose: To assess the role of contrast-enhanced mammography (CEM) in predicting the malignancy of breast calcifications., Material and Methods: We retrospectively evaluated patients with suspicious calcifications (BIRADS 4) who underwent CEM and stereotactic vacuum-assisted biopsy (VAB) at our institution. We assessed the sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) of CEM in predicting malignancy of microcalcifications with a 95% confidence interval; we performed an overall analysis and a subgroup analysis stratified into group A-low risk (BIRADS 4a) and group B-medium/high risk (BIRADS 4b-4c). We then evaluated the correlation between enhancement and tumour proliferation index (Ki-67) for all malignant lesions., Results: Data from 182 patients with 184 lesions were collected. Overall the SE of CEM in predicting the malignancy of microcalcifications was 0.70, SP was 0.85, the PPV was 0.82, the NPV was 0.76 and AUC was 0.78. SE in group A was 0.89, SP was 0.89, PPV was 0.57, NPV was 0.98 and AUC was 0.75. SE in group B was 0.68, SP was 0.80, PPV was 0.87, NPV was 0.57 and AUC was 0.75. Among malignant microcalcifications that showed enhancement (N = 52), 61.5% had Ki-67 ≥ 20% and 38.5% had low Ki-67 values. Among the lesions that did not show enhancement (N = 22), 90.9% had Ki-67 < 20% and 9.1% showed high Ki-67 values 20%., Conclusions: The absence of enhancement can be used as an indicative parameter for the absence of disease in cases of low-suspicious microcalcifications, but not in intermediate-high suspicious ones for which biopsy remains mandatory and can be used to distinguish indolent lesions from more aggressive neoplasms, with consequent reduction of overdiagnosis and overtreatment., (© 2024. Italian Society of Medical Radiology.)

Breast microcalcifications are observed in 80% of mammograms, and a notable proportion can lead to invasive tumors. However, diagnosing microcalcifications is a highly complicated and error-prone process due to their diverse sizes, shapes, and subtle variations. In this study, we propose a radiomic signature that effectively differentiates between healthy tissue, benign microcalcifications, and malignant microcalcifications. Radiomic features were extracted from a proprietary dataset, composed of 380 healthy tissue, 136 benign, and 242 malignant microcalcifications ROIs. Subsequently, two distinct signatures were selected to differentiate between healthy tissue and microcalcifications (detection task) and between benign and malignant microcalcifications (classification task). Machine learning models, namely Support Vector Machine, Random Forest, and XGBoost, were employed as classifiers. The shared signature selected for both tasks was then used to train a multi-class model capable of simultaneously classifying healthy, benign, and malignant ROIs. A significant overlap was discovered between the detection and classification signatures. The performance of the models was highly promising, with XGBoost exhibiting an AUC-ROC of 0.830, 0.856, and 0.876 for healthy, benign, and malignant microcalcifications classification, respectively. The intrinsic interpretability of radiomic features, and the use of the Mean Score Decrease method for model introspection, enabled models' clinical validation. In fact, the most important features, namely GLCM Contrast, FO Minimum and FO Entropy, were compared and found important in other studies on breast cancer., (© 2024. The Author(s).)

Background: Mammography has become an invaluable tool for diagnosing breast lesions and detecting early breast cancer in women of 35 years and above., Aims: To correlate the mammography Breast Imaging Reporting and Data System (BI-RADS) categories with the histology in breast lesions and to determine the predictive values, sensitivity, specificity and accuracy of mammography., Patients and Method: This was a one- year prospective study carried out from March 2015 to February 2016. Consecutive female patients of 35 years and above with breast lesions at the University of Benin Teaching Hospital, Benin-City were recruited. Patients with fungating breast lesions and those who declined recruitment were excluded. All patients had mammography and core biopsy of the breast lesion which was examined histologically., Results: A total of 101 patients were studied. Five patients had bilateral breast lesions making a total of 106 biopsies that were performed. The mean age of patients with benign breast disease was 47.0 ± 4.9 years while those with malignant breast disease was 49.9 ± 8.5 years; P-value was 0.080 which was not statistically significant. Fibrocystic disease 6 (5.6%) was the most common benign disease while invasive ductal carcinoma was the most common malignant breast disease 84(79.2%). BI-RADS 5 correlated mostly with malignant breast disease (97.0%); P value < 0.001 and was statistically significant., Conclusion: This study showed that mammography is useful in the diagnosis of breast lesions in women who are 35 years and older. Patients with BI-RADS category 3, 4 and 5 had an increasing correlation with malignant breast disease., Competing Interests: The Authors declare that no competing interest exists, (Copyright © 2024 by West African Journal of Medicine.)

We aimed to construct and validate a multimodality MRI combined with ultrasound based on radiomics for the evaluation of benign and malignant breast diseases. The preoperative enhanced MRI and ultrasound images of 131 patients with breast diseases confirmed by pathology in Aerospace Center Hospital from January 2021 to August 2023 were retrospectively analyzed, including 73 benign diseases and 58 malignant diseases. Ultrasound and 3.0 T multiparameter MRI scans were performed in all patients. Then, all the data were divided into training set and validation set in a 7:3 ratio. Regions of interest were drawn layer by layer based on ultrasound and MR enhanced sequences to extract radiomics features. The optimal radiomic features were selected by the best feature screening method. Logistic Regression classifier was used to establish models according to the best features, including ultrasound model, MRI model, ultrasound combined with MRI model. The model efficacy was evaluated by the area under the curve (AUC) of the receiver operating characteristic, sensitivity, specificity, and accuracy. The F-test based on ANOVA was used to screen out 20 best ultrasonic features, 11 best MR Features, and 14 best features from the combined model. Among them, texture features accounted for the largest proportion, accounting for 79%.The ultrasound combined with MR Image fusion model based on logistic regression classifier had the best diagnostic performance. The AUC of the training group and the validation group were 0.92 and 091, the sensitivity was 0.80 and 0.67, the specificity was 0.90 and 0.94, and the accuracy was 0.84 and 0.79, respectively. It was better than the simple ultrasound model (AUC of validation set was 0.82) or the simple MR model (AUC of validation set was 0.85). Compared with the traditional ultrasound or magnetic resonance diagnosis of breast diseases, the multimodal model of MRI combined with ultrasound based on radiomics can more accurately predict the benign and malignant breast diseases, thus providing a better basis for clinical diagnosis and treatment., (© 2024. The Author(s).)

Purpose: Breast arterial calcifications (BAC) are incidentally observed on mammograms, yet their implications remain unclear. We investigated lifestyle, reproductive, and cardiovascular determinants of BAC in women undergoing mammography screening. Further, we investigated the relationship between BAC, coronary arterial calcifications (CAC) and estimated 10-year atherosclerotic cardiovascular (ASCVD) risk., Methods: In this cross-sectional study, we obtained reproductive history and CVD risk factors from 215 women aged 18 or older who underwent mammography and cardiac computed tomographic angiography (CCTA) within a 2-year period between 2007 and 2017 at hospital. BAC was categorized as binary (present/absent) and semi-quantitatively (mild, moderate, severe). CAC was determined using the Agatston method and recorded as binary (present/absent). Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated, accounting for age as a confounding factor. ASCVD risk over a 10-year period was calculated using the Pooled Cohort Risk Equations., Results: Older age, systolic and diastolic blood pressures, higher parity, and younger age at first birth (≤28 years) were significantly associated with greater odds of BAC. Women with both BAC and CAC had the highest estimated 10-year risk of ASCVD (13.30 %). Those with only BAC (8.80 %), only CAC (5.80 %), and no BAC or CAC (4.40 %) had lower estimated 10-year risks of ASCVD. No association was detected between presence of BAC and CAC., Conclusions: These findings support the hypothesis that BAC on a screening mammogram may help to identify women at potentially increased risk of future cardiovascular disease without additional cost and radiation exposure., Competing Interests: Declaration of competing interest No potential conflicts of interest were disclosed. Authors have no competing interests to declare., (Copyright © 2024 Elsevier Inc. All rights reserved.)

The Canadian Association of Radiologists (CAR) Breast Disease Expert Panel consists of breast imaging radiologists, a high-risk breast clinician, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 20 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of these clinical/diagnostic scenarios. Recommendations from 30 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) for guidelines framework were used to develop 69 recommendation statements across the 20 scenarios. This guideline presents the methods of development and the recommendations for referring asymptomatic individuals, symptomatic patients, and other scenarios requiring imaging of the breast., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Matthew Seidler discloses receipt of an honorarium from Hologic for a presentation.

Technique: From January 1, 2018, to December 31, 2021, we localized the breast microcalcification of 40 patients before the surgical excision. We measured the distance between the nipple and the center of the calcification on the CC view and the ML view, respectively. The operation proceeded around the intersection between two lines, slightly larger than the diameter of the microcalcification. We also analyze the pathological findings., Results: All 40 patients successfully detected calcification by mammograms preoperatively using the method mentioned above. 38 patients have the microcalcification removal within the one-time operation, while the other two underwent an extended lumpectomy. 20 of 40 calcifications (50 %) were malignant and 12(30 %) were precancerous lesions. In the group of women older than 45 years old, the percentages of malignant and atypical hyperplasias are 56.25 % (18/32) and 31.25 % (10/32) respectively., Conclusion: Our non-invasive method of preoperative localization is safe and cost-effective. Furthermore, initial observations suggest that there may be a link between age and malignant microcalcification., Competing Interests: Conflict of interest statement There is no potential conflict of interest between the authors in this manuscript., (Copyright © 2024 Asian Surgical Association and Taiwan Robotic Surgery Association. Published by Elsevier B.V. All rights reserved.)

The nipple-areolar complex (NAC), a unique anatomic structure of the breast, encompasses the terminal intramammary ducts and skin appendages. Several benign and malignant diseases can arise within the NAC. As several conditions have overlapping symptoms and imaging findings, understanding the distinctive nipple anatomy, as well as the clinical and imaging features of each NAC disease process, is essential. A multimodality imaging approach is optimal in the presence or absence of clinical symptoms. The authors review the ductal anatomy and anomalies, including congenital abnormalities and nipple retraction. They then discuss the causes of nipple discharge and highlight best practices for the imaging workup of pathologic nipple discharge, a common condition that can pose a diagnostic challenge and may be the presenting symptom of breast cancer. The imaging modalities used to evaluate and differentiate benign conditions (eg, dermatologic conditions, epidermal inclusion cyst, mammary ductal ectasia, periductal mastitis, and nonpuerperal abscess), benign tumors (eg, papilloma, nipple adenoma, and syringomatous tumor of the nipple), and malignant conditions (eg, breast cancer and Paget disease of the breast) are reviewed. Breast MRI is the current preferred imaging modality used to evaluate for NAC involvement by breast cancer and select suitable candidates for nipple-sparing mastectomy. Different biopsy techniques (US -guided biopsy and stereotactic biopsy) for sampling NAC masses and calcifications are described. This multimodality imaging approach ensures an accurate diagnosis, enabling optimal clinical management and patient outcomes. © RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.

Background and Objective: Focal asymmetric breast densities (FABD) present a diagnostic challenge concerning the need for a further histologic workup to rule out malignancy. We therefore aim to correlate ultrasonography and mammographic findings in women with FABD and evaluate the use of ultrasonography as a workup tool., Methodology: This is a retrospective study of women who underwent targeted breast sonography due to FABD with a mammogram in a private diagnostic centre in Abuja over three years (2016-2018). Demographic details, clinical indication, mammographic and ultrasonography features were documented and statistical analysis was done using SAS software version 9.3 with the statistical level of significance set at 0.05., Result: The age range of 44 patients was 32-69 years with a majority (79.5%) presenting for screening mammography. The predominant breast density pattern in those <60 years was heterogeneous (ACR C). FABD in mammography was noted mostly in the upper outer quadrant and retro-areolar regions (34.1 and 38.6%). Ultrasonography findings were normal breast tissue (56.8%), 4 simple cysts, 1 abscess, 4 solid masses, 2 focal fibrocystic changes, and 4 cases of duct ectasia. Twenty-nine (65.9%) of the abnormal cases were on the same side as the mammogram, while all the incongruent cases were recorded in heterogeneously dense breasts (ACR C). Final BIRADS Scores on USS showed that 41(93.2%) of mammographic FABD had normal and benign findings while only 2(4.6%) had sonographic features of malignancy., Conclusion: Breast ultrasonography allows for optimal lesion characterization and is a veritable tool in the workup of patients with focal asymmetric breast densities with the majority presenting as normal breast tissue and benign pathologies., Competing Interests: The Authors declare that no competing interest exists, (Copyright © 2024 by West African Journal of Medicine.)

The "breast within a breast" sign is used to describe the appearance of a breast hamartoma, also known as a fibroadenolipoma. A breast hamartoma is a benign mass made up of the same tissues that are found in a normal breast, giving the appearance of a breast within a breast on mammography. The "breast within a breast" sign is pathognomonic for a breast hamartoma and can help confidently diagnose these masses as benign without the need for further imaging or biopsy., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: To explore the capability and clinical significance of chest thin-section computed tomography (CT) for localization of mammographically detected clustered microcalcifications., Methods: A total of 69 patients with 71 mammographically detected clustered microcalcifications received surgical biopsy under the guidance of mammography (MG), CT was used to localize calcifications combined with MG if calcifications can be seen on CT. Intraoperative mammography of the specimens were performed in all cases for identification of the resected microcalcifications. The clinical, imaging and pathological information of these patients were analyzed., Results: A total of 42 (59.15%) cases of calcifications were localized by CT + MG, 29 (40.85%) cases were guided only by the mammography. All suspicious calcifications on the mammography were successfully removed. Pathological results showed 42 cases were cancer, 23 cases were benign, and 6 cases were atypical hyperplasia. The mean age in the CT + MG group was older than that of the MG group (54.12 vs. 49.27 years; P = 0.014). The maximum diameter of clusters of microcalcifications on mammography in the CT + MG group was larger than that of the MG group [(cranio-caudal view, 1.52 vs. 0.61 mm, P = 0.000; mediolateral oblique (MLO) view, 1.53 vs. 0.62 mm, P = 0.000)]. The gray value ratio (calcified area / paraglandular; MLO, P = 0.004) and the gray value difference (calcified area - paraglandular; MLO, P = 0.005) in the CT + MG group was higher than that of the MG group. Multivariate analysis showed that the max diameter of clusters of microcalcifications (MLO view) was a significant predictive factor of localization by CT in total patients (P = 0.001)., Conclusions: About half of the mammographically detected clustered microcalcifications could be localized by thin-section CT. Maximum diameter of clusters of microcalcifications (MLO view) was a predictor of visibility of calcifications by CT. Chest thin-section CT may be useful for localization of calcifications in some patients, especially for calcifications that are only visible in one view on the mammography., (© 2024. The Author(s).)

Breast injury is commonly encountered yet it remains significantly underreported. Injury to the breast may arise from either primary mechanisms or secondary or iatrogenic mechanisms. Primary mechanisms of breast injury include blunt force, seat-belt, penetrating, and thermal injury. Secondary or iatrogenic mechanisms of breast injury include breast biopsy or intervention as well as operative intervention and cardiopulmonary resuscitation. The severity of breast injury arising from these mechanisms is broad, ranging from breast contusion to avulsion. Sequelae of breast injury include fat necrosis and Mondor's disease. Radiologists play an integral role in the evaluation and management of breast injury both in the acute and non-acute settings. In the acute setting, radiologists must be able to recognize breast injury arising from primary mechanisms or iatrogenic or secondary mechanisms and to identify rare but potentially life-threatening complications promptly to ensure timely, appropriate management. In the non-acute setting, radiologists must be able to discern the sequalae of breast injury from other processes to prevent potentially unnecessary further evaluation and intervention. Nonetheless, though breast injury is commonly encountered there remain few guidelines and a lack of established recommendations for the evaluation and management of breast injury. We provide a comprehensive multi-modality imaging review of breast injury arising in the acute setting as well as the sequela of breast injury arising in the non-acute setting. Moreover, we provide an overview of the management of breast injury., (© 2023. The Author(s), under exclusive licence to American Society of Emergency Radiology (ASER).)

Milk of calcium (MOC) is a term used for sedimented calcifications within small cysts (Milk of Calcium - an overview|ScienceDirect Topics, n.d.). MOC in the breast is a benign entity and present in 4-6% of women that undergo diagnostic mammography (Park et al., 2008). 2 Calcium particles within cysts produce 'teacup'-shaped calcifications on true lateral views, and smudged calcifications on craniocaudal (CC) views (Veloso Gomes et al., n.d.). 3 On the CC projection, the calcifications will have a cloudlike or smudgy appearance like tea leaves in the bottom of a teacup (Milk of Calcium - an overview|ScienceDirect Topics, n.d.). Because this is a characteristic benign finding, there is no need for the patient to undergo a biopsy., Competing Interests: Declaration of competing interest We have no competing interests or conflicts of interest to disclose. We received no financial support for the research, funding, or publication of this article., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Objectives: In the women with compressed thin thickness (≦ 3 cm), mammographic guiding vacuum-assist breast biopsy (MG-VABB) is a technical challenge. We herein report their performance of MG-VABB on suspicious microcalcification by modern mammography., Methods: We retrospectively reviewed the consecutive MG-VABB in our hospital from February 2019 to January 2021. All the patients received biopsy because of suspicious microcalcifications discovered by mammography and had at least one-year post-biopsy follow-up., Results: We reviewed 745 consecutive patients revealing 195 with compressed thin breasts ≦ 3 cm (mean age: 50.12 ± 7.0; breast thickness: 24.99 mm range 11.6-30 mm). Of the 191 patients received biopsy, the microcalcification retrieval rate was 97.9%. Using the half-open notch biopsy or horizontal needle approach, the biopsies were technically achieved in 30.4% and 9.4% of patients respectively. Regarding to the gold standard of surgicohistology, the cancer sensitivities was 88.46% and the atypia upgrade rate was 16.67%. There was no statistical difference of the procedure time between stereotactic guided and tomosynthesis guided., Conclusions: The modern MG-VABB has technically improve the performance of biopsy to the patients with compressed thin breasts (≦ 3 cm), revealing approximate results to those breasts > 3 cm. The diagnosis helps the management of suspicious microcalcifications discovered by mammography., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2023 Asian Surgical Association and Taiwan Robotic Surgery Association. Published by Elsevier B.V. All rights reserved.)

Emergencies in breast imaging are infrequent but not rare. Although infectious conditions such as mastitis and breast abscess are the most common breast diseases encountered in acute care settings, other entities that may require additional imaging or different treatment approaches are also seen and include traumatic injury and breast cancer. While mammography is widely available for breast evaluation in outpatient facilities, most emergency departments do not have mammography units. This makes evaluation of patients with breast disease incomplete in the acute care setting and emphasizes the role of appropriate US techniques for interpretation. It also highlights the importance of effective sonographer-to-radiologist communication to ensure patient safety and diagnostic accuracy, especially in an era of increasing adoption of teleradiology. The authors discuss the challenges in image acquisition and remote interpretation that are commonly faced by radiologists when they assess breast anomalies in the emergency setting. They present strategies to overcome these challenges by describing techniques for proper US evaluation, highlighting the importance of sonographer-radiologist communication, defining the goals of the evaluation, reviewing common differential diagnoses, and providing appropriate follow-up recommendations. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.

Objective: Breast arterial calcifications (BAC) are a sex-specific cardiovascular disease biomarker that might improve cardiovascular risk stratification in women. We implemented a deep convolutional neural network for automatic BAC detection and quantification., Methods: In this retrospective study, four readers labelled four-view mammograms as BAC positive (BAC+) or BAC negative (BAC-) at image level. Starting from a pretrained VGG16 model, we trained a convolutional neural network to discriminate BAC+ and BAC- mammograms. Accuracy, F1 score, and area under the receiver operating characteristic curve (AUC-ROC) were used to assess the diagnostic performance. Predictions of calcified areas were generated using the generalized gradient-weighted class activation mapping (Grad-CAM++) method, and their correlation with manual measurement of BAC length in a subset of cases was assessed using Spearman ρ., Results: A total 1493 women (198 BAC+) with a median age of 59 years (interquartile range 52-68) were included and partitioned in a training set of 410 cases (1640 views, 398 BAC+), validation set of 222 cases (888 views, 89 BAC+), and test set of 229 cases (916 views, 94 BAC+). The accuracy, F1 score, and AUC-ROC were 0.94, 0.86, and 0.98 in the training set; 0.96, 0.74, and 0.96 in the validation set; and 0.97, 0.80, and 0.95 in the test set, respectively. In 112 analyzed views, the Grad-CAM++ predictions displayed a strong correlation with BAC measured length (ρ = 0.88, p < 0.001)., Conclusion: Our model showed promising performances in BAC detection and in quantification of BAC burden, showing a strong correlation with manual measurements., Clinical Relevance Statement: Integrating our model to clinical practice could improve BAC reporting without increasing clinical workload, facilitating large-scale studies on the impact of BAC as a biomarker of cardiovascular risk, raising awareness on women's cardiovascular health, and leveraging mammographic screening., Key Points: • We implemented a deep convolutional neural network (CNN) for BAC detection and quantification. • Our CNN had an area under the receiving operator curve of 0.95 for BAC detection in the test set composed of 916 views, 94 of which were BAC+ . • Furthermore, our CNN showed a strong correlation with manual BAC measurements (ρ = 0.88) in a set of 112 views., (© 2023. The Author(s).)

Background: The noise in digital breast tomosynthesis (DBT) includes x-ray quantum noise and detector readout noise. The total radiation dose of a DBT scan is kept at about the level of a digital mammogram but the detector noise is increased due to acquisition of multiple projections. The high noise can degrade the detectability of subtle lesions, specifically microcalcifications (MCs)., Purpose: We previously developed a deep-learning-based denoiser to improve the image quality of DBT. In the current study, we conducted an observer performance study with breast radiologists to investigate the feasibility of using deep-learning-based denoising to improve the detection of MCs in DBT., Methods: We have a modular breast phantom set containing seven 1-cm-thick heterogeneous 50% adipose/50% fibroglandular slabs custom-made by CIRS, Inc. (Norfolk, VA). We made six 5-cm-thick breast phantoms embedded with 144 simulated MC clusters of four nominal speck sizes (0.125-0.150, 0.150-0.180, 0.180-0.212, 0.212-0.250 mm) at random locations. The phantoms were imaged with a GE Pristina DBT system using the automatic standard (STD) mode. The phantoms were also imaged with the STD+ mode that increased the average glandular dose by 54% to be used as a reference condition for comparison of radiologists' reading. Our previously trained and validated denoiser was deployed to the STD images to obtain a denoised DBT set (dnSTD). Seven breast radiologists participated as readers to detect the MCs in the DBT volumes of the six phantoms under the three conditions (STD, STD+, dnSTD), totaling 18 DBT volumes. Each radiologist read all the 18 DBT volumes sequentially, which were arranged in a different order for each reader in a counter-balanced manner to minimize any potential reading order effects. They marked the location of each detected MC cluster and provided a conspicuity rating and their confidence level for the perceived cluster. The visual grading characteristics (VGC) analysis was used to compare the conspicuity ratings and the confidence levels of the radiologists for the detection of MCs., Results: The average sensitivities over all MC speck sizes were 65.3%, 73.2%, and 72.3%, respectively, for the radiologists reading the STD, dnSTD, and STD+ volumes. The sensitivity for dnSTD was significantly higher than that for STD (p < 0.005, two-tailed Wilcoxon signed rank test) and comparable to that for STD+. The average false positive rates were 3.9 ± 4.6, 2.8 ± 3.7, and 2.7 ± 3.9 marks per DBT volume, respectively, for reading the STD, dnSTD, and STD+ images but the difference between dnSTD and STD or STD+ did not reach statistical significance. The overall conspicuity ratings and confidence levels by VGC analysis for dnSTD were significantly higher than those for both STD and STD+ (p ≤ 0.001). The critical alpha value for significance was adjusted to be 0.025 with Bonferroni correction., Conclusions: This observer study using breast phantom images showed that deep-learning-based denoising has the potential to improve the detection of MCs in noisy DBT images and increase radiologists' confidence in differentiating noise from MCs without increasing radiation dose. Further studies are needed to evaluate the generalizability of these results to the wide range of DBTs from human subjects and patient populations in clinical settings., (© 2023 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.)

Breast imaging radiologists regularly perform image-guided biopsies of suspicious breast lesions based on features that are associated with a likelihood of malignancy ranging from 2% to greater than 95% (Breast Imaging Reporting and Data System categories 4 and 5). As diagnostic partners, pathologists perform histopathologic assessment of these tissue samples to confirm a diagnosis. Correlating the imaging findings with the histopathologic results is an integral aspect of multidisciplinary breast care. Assessment of radiologic-pathologic concordance is vital in guiding appropriate management, as it enables identification of discordant results, minimizing the chance of misdiagnosis. Undersampling can lead to false-negative results, with the frequencies of false-negative diagnoses varying on the basis of multiple factors, including biopsy type (eg, core needle, vacuum-assisted needle), needle gauge, and type of lesion sampled at biopsy (ie, mass, calcifications, asymmetry, architectural distortion). Improving a radiologist's knowledge of macroscopic and microscopic breast anatomy and more common breast diseases and their expected imaging findings ensures more accurate radiologic-pathologic correlation and management recommendations. The histopathologic and molecular characteristics of biopsy-sampled breast lesions aid in making an accurate diagnosis. Hematoxylin-eosin staining provides critical morphologic details, whereas immunohistochemical staining enables molecular characterization of many benign and malignant lesions, which is critical for tailored treatment. The authors review commonly encountered benign and malignant breast diseases, their corresponding histopathologic phenotypes, and the histopathologic markers that are essential to clinching the diagnosis of these entities. As part of a multidisciplinary team that provides optimal patient care, radiologists should be knowledgeable of the foundations of histopathologic diagnosis and the implications for patient management to ensure appropriate radiologic-pathologic concordance. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.

&lt;b&gt;&lt;br&gt;Aim:&lt;/b&gt; The study was conducted to systematically analyze the recent peer-reviewed literature related to tumoral pseudoangiomatous stromal hyperplasia (PASH) in males.&lt;/br&gt; &lt;b&gt;&lt;br&gt;Materials and methods:&lt;/b&gt; Articles published in peer-reviewed journals of repute from 2012 to 2023 were evaluated for eight variables: 1) the age of the patient, 2) clinical presentation, 3) laterality (unilateral or bilateral), 4) associated breast disorder, 5) the presence of systemic co-morbidity, 6) imaging modalities aiding diagnosis, 7) treatment, and 8) recurrence.&lt;/br&gt; &lt;b&gt;&lt;br&gt;Results:&lt;/b&gt; There were 10 patients ranging in age from 1 year to 67 years (mean: 34.5 years). In 8 cases (80%), there were breast lumps; in 2 cases (20%), there were axillary lumps at presentation. Pain was not a prominent symptom. Six patients (60%) had another breast disorder at presentation and 3 (30%) had significant systemic co-morbidities, including diabetes and renal insufficiency. The greatest dimension of the lumps ranged from 2 cm to 12 cm, with 80% of the lumps being below 5 cm in size. Imaging modalities utilized in evaluation included breast ultrasound (USG), mammograms, computerized tomography (CT), and magnetic resonance imaging (MRI). All the cases were treated surgically, and the final diagnosis was made only after the analysis of the surgical specimen. Recurrence was recorded in 2 (20%) cases.&lt;/br&gt; &lt;b&gt;&lt;br&gt;Conclusions:&lt;/b&gt; Tumoral PASH is a benign myofibroblastic proliferation disorder rarely reported in males. This condition should be considered a differential diagnosis of breast or axillary lumps, and an evaluation should be initiated accordingly. The recommended course of treatment is adequate surgical excision with regular clinical and radiological follow-up.&lt;/br&gt.

Breast abscesses are still a common cause of morbidity among lactational females. Over the years, there has been an increase in the incidence of non-lactational breast abscesses and a decrease in lactational breast abscesses. The management could be the use of the conventional method of surgical incision and drainage or the newer techniques of needle aspiration or suction drain or catheter in addition to the administration of antibiotics. The use of needle aspiration as the minimal-invasive conservative technique is generally recommended for abscesses less than 3-5 cm in diameter. However, recent studies have compared the two methods for abscesses larger than 3 cm and among patients with risk factors for breast abscesses. We aim to present the clinical evidence showing the comparison between needle aspiration and incision and drainage for breast abscesses irrespective of the size of the abscesses. There is a lack of comparative information on the two treatment modalities for breast abscesses larger than 3 cm in diameter; however, needle aspiration is being tried because of its advantages like cosmetic preference, short hospital stay and healing time, and no stoppage of breastfeeding., (© 2023 The Author. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.)

The purpose of this study was to evaluate the impact of breast density on the diagnostic performance of cone-beam breast-CT (CBBCT) in comparison to full-field digital mammography (FFDM) for the detection of microcalcifications. This retrospective IRB-approved study was conducted between December 2015 and March 2017 and enrolled 171 women with Breast Imaging Reporting and Data System category 4 or 5 lesions on FFDM and additional CBBCT; 56 of which were ineligible. The inclusion was restricted to 83 women (90 breasts, 90 lesions) with microcalcifications. All lesions underwent histology or were monitored by FFDM and a clinical examination at least 2 years after enrollment. Two breast radiologists independently read each data set twice. Sensitivity, specificity and area under the curve were compared between the modalities. Thirty-two breasts (35.5%) were grouped as non-dense breasts (American College of Radiology types a/b) and 58 breasts (64.5%) as dense breasts (American College of Radiology types c/d). Histopathological assessment was performed in 61 of 90 breast lesions (32 malignant, 1 high-risk and 28 benign). Area under the curve was larger for FFDM than for CBBCT (P = .085). The sensitivity was significantly higher for FFDM compared to CBBCT (P = .009). The specificity showed no significant differences comparing FFDM (both readers: 0.62) versus CBBCT (reader 1: 0.76, reader 2: 0.60; P = .192). Inter-observer-reliability on BI-RADS readings was almost perfect for FFDM and moderate for CBBCT (κ = 0.84, κ = 0.54, respectively). Intra-observer agreement was substantial to almost perfect for both methods and readers. Compared with FFDM, CBBCT demonstrated non-comparable results for microcalcification detection in dense and non-dense breasts., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Objective: To determine the frequency of breast cancer associated with pregnancy and lactation, and to evaluate the lesions on ultrasound., Methods: The descriptive, observational study was conducted at the Dow Institute of Radiology, DUHS, Karachi from December 2020 to August 2021, and comprised of pregnant and lactating women with clinically palpable breast lumps and/or painful breast. The margins, orientation, echo pattern and associated features of the lesions were studied on ultrasound and were assigned a Breast Imaging Reporting and Data System grade. All the lumps were followed and ultrasound-guided core needle biopsy for histopathology was done of grades IV and V cases. Incidence and Accuracy of ultrasound for diagnosis of pregnancy-associated breast cancer was estimated. Data was analysed using SPSS 26., Results: Of the 237 women, 19(8%) were pregnant and 218(92%) were lactating. The overall mean age was 28.4±5.5 years. Ultrasound findings for lactating and pregnant women were significantly different (p=0.05). Significant association of Breast Imaging Reporting and Data System grades III, IV and V lesions with heterogeneous echo texture of mass was seen (p<0.001). Biopsy was performed in 20(8.4%) cases, and 12(60%) of them had benign results on histopathology., Conclusions: A variety of benign and malignant breast diseases were found in women during pregnancy and lactation phases.

Background and Objective: Breast cancer is the world's most prevalent form of cancer. The survival rates have increased in the last years mainly due to factors such as screening programs for early detection, new insights on the disease mechanisms as well as personalised treatments. Microcalcifications are the only first detectable sign of breast cancer and diagnosis timing is strongly related to the chances of survival. Nevertheless microcalcifications detection and classification as benign or malignant lesions is still a challenging clinical task and their malignancy can only be proven after a biopsy procedure. We propose DeepMiCa, a fully automated and visually explainable deep-learning based pipeline for the analysis of raw mammograms with microcalcifications. Our aim is to propose a reliable decision support system able to guide the diagnosis and help the clinicians to better inspect borderline difficult cases., Methods: DeepMiCa is composed by three main steps: (1) Preprocessing of the raw scans (2) Automatic patch-based Semantic Segmentation using a UNet based network with a custom loss function appositely designed to deal with extremely small lesions (3) Classification of the detected lesions with a deep transfer-learning approach. Finally, state-of-the-art explainable AI methods are used to produce maps for a visual interpretation of the classification results. Each step of DeepMiCa is designed to address the main limitations of the previous proposed works resulting in a novel automated and accurate pipeline easily customisable to meet radiologists' needs., Results: The proposed segmentation and classification algorithms achieve an area under the ROC curve of 0.95 and 0.89 respectively. Compared to previously proposed works, this method does not require high performance computational resources and provides a visual explanation of the final classification results., Conclusion: To conclude, we designed a novel fully automated pipeline for detection and classification of breast microcalcifications. We believe that the proposed system has the potential to provide a second opinion in the diagnosis process giving the clinicians the opportunity to quickly visualise and inspect relevant imaging characteristics. In the clinical practice the proposed decision support system could help reduce the rate of misclassified lesions and consequently the number of unnecessary biopsies., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Accurate characterization of microcalcifications (MCs) in 2D digital mammography is a necessary step toward reducing the diagnostic uncertainty associated with the callback of indeterminate MCs. Quantitative analysis of MCs can better identify MCs with a higher likelihood of ductal carcinoma in situ or invasive cancer. However, automated identification and segmentation of MCs remain challenging with high false positive rates. We present a two-stage multiscale approach to MC segmentation in 2D full-field digital mammograms (FFDMs) and diagnostic magnification views. Candidate objects are first delineated using blob detection and Hessian analysis. A regression convolutional network, trained to output a function with a higher response near MCs, chooses the objects which constitute actual MCs. The method was trained and validated on 435 screening and diagnostic FFDMs from two separate datasets. We then used our approach to segment MCs on magnification views of 248 cases with amorphous MCs. We modeled the extracted features using gradient tree boosting to classify each case as benign or malignant. Compared to state-of-the-art comparison methods, our approach achieved superior mean intersection over the union (0.670 ± 0.121 per image versus 0.524 ± 0.034 per image), intersection over the union per MC object (0.607 ± 0.250 versus 0.363 ± 0.278) and true positive rate of 0.744 versus 0.581 at 0.4 false positive detections per square centimeter. Features generated using our approach outperformed the comparison method (0.763 versus 0.710 AUC) in distinguishing amorphous calcifications as benign or malignant., (© 2023. The Author(s).)

Purpose: To determine whether the presence of calcifications in specimens collected during stereotactic-guided vacuum-assisted breast biopsies (VABB) is sufficient to ascertain their adequacy for final diagnosis at pathology., Materials and Methods: Digital breast tomosynthesis (DBT)-guided VABBs were performed on 74 patients with calcifications as target. Each biopsy consisted of the collection of 12 samplings with a 9-gauge needle. This technique was integrated with a real-time radiography system (IRRS) which allowed the operator to determine whether calcifications were included in the specimens at the end of each of the 12 tissue collections through the acquisition of a radiograph of every sampling. Calcified and non-calcified specimens were separately sent to pathology and evaluated., Results: A total of 888 specimens were retrieved, 471 containing calcifications and 417 without. In 105 (22.2%) samples out of 471 with calcifications cancer was detected, while the remaining 366 (77.7%) were non-cancerous. Out of 417 specimens without calcifications 56 (13.4%) were cancerous, whereas 361 (86.5%) were non-cancerous. Seven hundred and twenty-seven specimens out of all 888 were cancer-free (81.8%, 95%CI 79-84%)., Conclusion: Although there is a statistical significative difference between calcified and non-calcified samples and the detection of cancer (p < 0.001), our study shows that the sole presence of calcifications in the specimens is not sufficient to determine their adequacy for final diagnosis at pathology because non-calcified samples can be cancerous and vice-versa. Ending biopsies when calcifications are first detected through IRRS could lead to false negative results., (© 2023. Italian Society of Medical Radiology.)

Background: Diabetic mastopathy is a rare breast condition that occurs in women with poorly controlled diabetes and is characterized by hardening of the breast tissue. The purpose of this case report is to provide an overview of the clinical characteristics and therapeutic principles of this rare disease to support front-line physicians in their crucial activity of case identification., Case Presentation: A 64-year-old Asian female patient with a history of type II diabetes mellitus was referred to our clinic for an evaluation of a newly discovered breast mass. The patient had been diagnosed with diabetes more than 20 years prior and was being managed with oral hypoglycemic agents. Her past medical history was otherwise unremarkable. Physical examination of the breast revealed a palpable, mobile, and firm mass measuring 6 × 4 cm in the upper quadrant of the right breast. Ultrasound images showed an uneven hypoechoic nodule, BI-RADS 4B. Mammography showed the compact and flaky nature of the two breasts and the heterogeneity of the substantive density increases. The patient's clinical manifestations and imaging findings suggest the possibility of breast cancer. The patient opted for surgical excision of the mass. Through surgery, the mass was completely excised with negative margins. Pathological examination of the mass revealed a proliferation of fibroblastic cells, with an increased nuclear/cytoplasmic ratio, consistent with a diagnosis of diabetic mastopathy., Conclusions: This case report serves to highlight the importance of recognizing diabetic mastopathy as a possible differential diagnosis of a breast mass in patients with diabetes mellitus. In our patient, early diagnosis and treatment with lumpectomy resulted in a favorable outcome, emphasizing the importance of prompt medical and surgical management. In addition, more research is needed to mine the diagnostic marker of diabetic mastopathy and provide data related to its prognosis., (© 2023. The Author(s).)

Cardiovascular diseases (CVD), including coronary artery disease (CAD), continue to be the leading cause of global mortality among women. While traditional CVD/CAD prevention tools play a significant role in reducing morbidity and mortality among both men and women, current tools for preventing CVD/CAD rely on traditional risk factor-based algorithms that often underestimate CVD/CAD risk in women compared with men. In recent years, some studies have suggested that breast arterial calcifications (BAC), which are benign calcifications seen in mammograms, may be linked to CVD/CAD. Considering that millions of women older than 40 years undergo annual screening mammography for breast cancer as a regular activity, innovative risk prediction factors for CVD/CAD involving mammographic data could offer a gender-specific and convenient solution. Such factors that may be independent of, or complementary to, current risk models without extra cost or radiation exposure are worthy of detailed investigation. This review aims to discuss relevant studies examining the association between BAC and CVD/CAD and highlights some of the issues related to previous studies' design such as sample size, population types, method of assessing BAC and CVD/CAD, definition of cardiovascular events, and other confounding factors. The work may also offer insights for future CVD risk prediction research directions using routine mammograms and radiomic features other than BAC such as breast density and macrocalcifications.

Background: Atherosclerotic cardiovascular disease is still the leading cause of mortality for women. Breast cancer screening with mammography is recommended in all women aged over 40 years., Aims: Whether breast artery calcification (BAC) is associated with cardiovascular disease is not clear. We aimed to evaluate the association between BAC and the presence of coronary atherosclerosis determined by CT., Methods: All patients who underwent both mammography and coronary CT angiography between January 2010 and December 2016 were screened, and patients with a duration of less than 12 months between CT and mammography were included., Results: A total of 320 women were included and BAC was detected in 47 (14.6%) patients. BAC was correlated with age and CT coronary calcium score. Both the frequency of critical coronary artery stenosis (34% vs 10.6%; p = 0.001) and CT coronary calcium score (5.5 vs 0; p = 0.001) was significantly higher in patients with BAC. The absence of BAC was a strong predictor of the absence of significant coronary artery disease (p = 0.001). BAC was independently associated with all-cause mortality after excluding patients with breast cancer (HR: 5.32; p = 0.013)., Conclusion: Breast artery calcification is associated with coronary calcium score and significant coronary stenosis. A high BAC score is related to increased mortality., (© 2022. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.)