Mammography and Breast Ultrasonography Services in Ghana, Availability, and Geographic Access.

PURPOSE: Breast cancer is the leading type of cancer diagnosed and the second leading cause of cancer-related death in Ghana. Mammography and ultrasound have proven benefits in the early detection of breast cancer. This study evaluates mammography, breast ultrasound, and radiology work force availability throughout Ghana. METHODS: A survey was administered to all hospitals in Ghana from November 2020 to October 2021. Mammography, breast ultrasound services, and the number of radiologists were assessed. For mammography, the number performed per month, cost incurred by the patient, where images were read, and how long it took to receive reports were also assessed. Health Facilities Regulatory Authority records on diagnostic centers were obtained to identify additional in-country breast imaging services. RESULTS: Three hundred and twenty-eight of 346 hospitals participated in the survey (95%). Only 21 hospitals reported on-site mammography. One hospital reported performing >100 mammographies per month. The average cost to the patient ranged from 100 to 500 Cedis ($17-87 US dollars [USD]), although three hospitals performed mammography at no cost. An additional 10 mammography machines were identified at diagnostic centers throughout the country, with 41.3% of the female population living within 1 hour of mammography services. There were 135 hospital-based breast ultrasound services identified with 69.5% of the female population living within 1 hour of these services. There were an additional 190 ultrasound machines at diagnostic centers. There were 96 in-country radiologists identified. CONCLUSION: Although there is limited availability and utilization of mammography in Ghana, there is more readily available ultrasonography. A focus on increasing breast cancer early diagnostic capabilities with breast ultrasound should be prioritized in addition to further expansion of the radiology workforce.

Breast Implant Imaging Surveillance Practice: Survey of Breast Imaging Radiologists in the Society of Breast Imaging.

OBJECTIVE: The objectives of this Society of Breast Imaging (SBI)-member survey study were to assess the current imaging patterns for evaluation of symptomatic and asymptomatic breast implant integrity, including modalities used and imaging intervals. METHODS: A 12-question survey assessing the frequency of imaging modalities used to evaluate implant integrity, approximate number of breast implant integrity studies requested per month, intervals of integrity studies, and referring provider and radiology practice characteristics was distributed to members of the SBI. RESULTS: The survey response rate was 7.6% (143/1890). Of responding radiologists, 54.2% (77/142) were in private, 29.6% (42/142) in academic, and 16.2% (23/142) in hybrid practice. Among respondents, the most common initial examination for evaluating implant integrity was MRI without contrast at 53.1% (76/143), followed by handheld US at 46.9% (67/143). Of respondents using US, 67.4% (91/135) also evaluated the breast tissue for abnormalities. Among respondents, 34.1% (46/135) reported being very confident or confident in US for diagnosing implant rupture. There was a range of reported intervals for performing implant integrity studies: 39.1% (43/110) every 2-3 years, 26.4% (29/110) every 4-5 years, 15.5% (17/110) every 6-10 years, and 19.1% (21/110) every 10 years. CONCLUSION: For assessment of implant integrity, the majority of respondents (53.2%, 76/143) reported MRI as initial imaging test. US is less costly, but the minority of respondents (34.1%, 46/135) had confidence in US performance. Also, the minority of respondents (39.1%, 43/110) performed implant integrity evaluations every 2-3 years per the FDA recommendations for asymptomatic surveillance.

Cost-effectiveness evaluation of risk-based breast cancer screening in Urban Hebei Province.

To evaluate the implementations of Cancer Screening Program in Urban Hebei and to model the cost-effectiveness of a risk-based breast Cancer Screening Program. Women aged 40-74 years were invited to participate the Cancer Screening Program in Urban Hebei form 2016 to 2020 by completing questionnaires to collect information about breast cancer exposure. Clinical screening including ultrasound and mammography examination were performed. We developed a Markov model to estimate the lifetime costs and benefits, in terms of quality-adjusted life years (QALY), of a high-risk breast Cancer Screening Program. Nine screening strategies and no screening were included in the study. The age-specific incidence, transition probability data and lifetime treatment costs were derived and adopted from other researches. Average cost-effectiveness ratios (ACERs) were estimated as the ratios of the additional costs of the screening strategies to the QLYG compared to no screening. Incremental cost-effectiveness ratios (ICERs) were calculated based on the comparison of a lower cost strategies to the next more expensive and effective strategies after excluding dominated strategies and extendedly dominated strategies. ICERs were used to compare with a willingness-to-pay (WTP) threshold. Sensitivity analysis was explored the influence factors. A total of 84,029 women completed a risk assessment questionnaire, from which 20,655 high-risk breast cancer females were evaluated, with a high-risk rate of 24.58%. There were 13,392 high-risk females completed the screening program, with participation rate was 64.84%. Undergoing ultrasound, mammography and combined screening, the suspicious positive detection rates were 15.00%, 9.20% and 19.30%, and the positive detection rates were 2.11%, 2.76% and 3.83%, respectively. According to the results by Markov model, at the end of 45 cycle, the early diagnosis rates were 55.53%, 60.68% and 62.47% underwent the annual screening by ultrasound, mammography and combined, the proportion of advanced cancer were 17.20%, 15.85% and 15.36%, respectively. Different screening method and interval yield varied. In the exploration of various scenarios, annual ultrasound screening is the most cost-effective strategy with the ICER of ¥116,176.15/QALY. Sensitivity analyses demonstrated that the results are robust. Although it was not cost effective, combined ultrasound and mammography screening was an effective strategy for higher positive detection rate of breast cancer. High-risk population-based breast cancer screening by ultrasound annually was the most cost-effective strategy in Urban Hebei Province.

Encuesta a mujeres uruguayas sobre conocimientos relacionados con la prevención del cáncer de mama / Survey of Uruguayan women on knowledge related to the prevention of breast cancer / Levantamento de mulheres uruguaias sobre conhecimentos relacionados à prevenção do câncer de mama

Introducción: En Uruguay el cáncer de mama (CM) ocupa el primer lugar en incidencia y mortalidad por cáncer en mujeres. Objetivo: Evaluar el conocimiento de mujeres uruguayas sobre el tamizaje de cáncer de mama. Material y métodos: Se trata de un estudio observacional descriptivo y transversal. Se aplicó una encuesta dirigida a mujeres, que fue difundida mediante las redes sociales. El consentimiento informado se solicitó al inicio de la encuesta, como requisito excluyente para poder realizar la misma. Se mantuvo el anonimato de las pacientes en el análisis estadístico y se contó con la aprobación del Comité de Ética del Hospital de Clínicas. Resultados: Participaron 1859 mujeres. El 75.1% (1396) de las encuestadas reconoce el CM como el de mayor mortalidad en mujeres. El 52% (967) cree que 3 de cada 10 mujeres tienen riesgo de desarrollar CM, y 18.4% (342) desconoce su prevalencia. El 60.2% (1119) reconoce a la mamografía como prueba que ha logrado disminuir la mortalidad por CM. El 64.2% (1193) cree que se realiza a partir de los 40 años. Sobre la frecuencia, el 60.5% (1125) considera que se realiza de forma anual. Los factores de riesgo para desarrollar CM mayormente considerados fueron tabaquismo (60.9%, 1132), obesidad (57.%, 1060) y sedentarismo (56.8%,1056). Conclusiones: Nuestros resultados evidencian que las encuestadas están informadas de manera adecuada sobre la importancia del CM y de realizar el tamizaje mamográfico para prevenirlo; sin embargo, el 74.3% (1381) cree que el mismo, debe comenzar a hacerse a los 40 años.

Introduction: In Uruguay, breast cancer (BC) has the highest incidence and mortality of all cancer in women. Objectives : To assess the knowledge of Uruguayan women about breast cancer screening for the early detection of BC. Material and Methods : This is a descriptive and observational study. A survey was applied to woman, it was disseminated through social networks. Informed consent was requested at the beginning of the survey as an exclusive requirement to be able to carry it out. In the statistical analysis, the anonymity of the patients was maintained and the approval of the Ethics Committee of the Hospital de Clínicas was obtained. Results : 1859 women participated. 75.1% (1396) of those surveyed recognize BC as the one with the highest mortality in women. 52% (967) believe that 3 out of 10 women are at risk of developing BC, and 18.4% (342) do not know its prevalence. 60.2% (1119) recognize mammography as a test that has managed to reduce mortality from BC. 64.2% (1193) believe that it is done after 40 years of age. Regarding the frequency, 60.5% (1125) consider that it is carried out annually. The most considered risk factors for developing BC were smoking (60.9%, 1132), obesity (57%, 1.060) and sedentary lifestyle (56.8%, 1056). Conclusions : Our results show that the respondents are adequately informed about the importance of CM and the performance of screening mammography.

Introdução : No Uruguai, o câncer de mama (CM) tem a maior incidência e mortalidade de todos os cânceres em mulheres. Objetivos: Avaliar o conhecimento de mulheres uruguaias sobre o rastreamento do câncer de mama para a detecção precoce do CM. Material e Métodos : Trata-se de um estudo descritivo e observacional. Foi aplicado um questionário às mulheres, divulgado através das redes sociais. O consentimento informado foi solicitado no início da pesquisa como requisito exclusivo para poder realizá-la. Na análise estatística, foi mantido o anonimato dos pacientes e obtida a aprovação do Comitê de Ética do Hospital de Clínicas. Resultados: participaram 1859 mulheres. 75.1% (1396) dos pesquisados ​​reconhecem o CB como o de maior mortalidade em mulheres. 52% (967) acreditam que 3 em cada 10 mulheres estão em risco de desenvolver CM e 18.4% (342) não conhecem sua prevalência. 60.2% (1119) reconhecem a mamografia como um exame que tem conseguido reduzir a mortalidade por CM. 64.2% (1.193) acreditam que é feito após os 40 anos. Em relação à frequência, 60.5% (1125) consideram que é realizado anualmente. Os fatores de risco mais considerados para desenvolver CM foram tabagismo (60.9%, 1132), obesidade (57%, 1.060) e sedentarismo (56.8%, 1056). Conclusões: Nossos resultados mostram que as entrevistadas estão adequadamente informadas sobre a importância do MC e a realização da mamografia de rastreamento.

Breast Tumor Classification Using Intratumoral Quantitative Ultrasound Descriptors.

Breast cancer is a global epidemic, responsible for one of the highest mortality rates among women. Ultrasound imaging is becoming a popular tool for breast cancer screening, and quantitative ultrasound (QUS) techniques are being increasingly applied by researchers in an attempt to characterize breast tissue. Several different quantitative descriptors for breast cancer have been explored by researchers. This study proposes a breast tumor classification system using the three major types of intratumoral QUS descriptors which can be extracted from ultrasound radiofrequency (RF) data: spectral features, envelope statistics features, and texture features. A total of 16 features were extracted from ultrasound RF data across two different datasets, of which one is balanced and the other is severely imbalanced. The balanced dataset contains RF data of 100 patients with breast tumors, of which 48 are benign and 52 are malignant. The imbalanced dataset contains RF data of 130 patients with breast tumors, of which 104 are benign and 26 are malignant. Holdout validation was used to split the balanced dataset into 60% training and 40% testing sets. Feature selection was applied on the training set to identify the most relevant subset for the classification of benign and malignant breast tumors, and the performance of the features was evaluated on the test set. A maximum classification accuracy of 95% and an area under the receiver operating characteristic curve (AUC) of 0.968 was obtained on the test set. The performance of the identified relevant features was further validated on the imbalanced dataset, where a hybrid resampling strategy was firstly utilized to create an optimal balance between benign and malignant samples. A maximum classification accuracy of 93.01%, sensitivity of 94.62%, specificity of 91.4%, and AUC of 0.966 were obtained. The results indicate that the identified features are able to distinguish between benign and malignant breast lesions very effectively, and the combination of the features identified in this research has the potential to be a significant tool in the noninvasive rapid and accurate diagnosis of breast cancer.

Imaging and pathologic features of non-calcified ductal carcinoma in situ: can sonography predict upgrade?

OBJECTIVE: The purpose of this study was to evaluate the imaging and pathologic features and upgrade rate of non-calcified ductal carcinoma in situ (NCDCIS). The study tested the hypothesis that lesions with sonographic findings have higher upgrade rate compared to lesions seen on mammography or MRI only. METHODS: This retrospective study included patients with ductal carcinoma in situ (DCIS) diagnosed by image-guided core breast biopsy from December 2009 to April 2018. Patients with microcalcifications on mammography or concurrent ipsilateral cancer on core biopsy were excluded. An upgrade was defined as surgical pathology showing microinvasive or invasive cancer. RESULTS: A total of 71 lesions constituted the study cohort. 62% of cases (44/71) had a mammographic finding, and 38% (27/71) of mammographically occult lesions had findings on either ultrasound, MRI, or both. Of the 67 cases that underwent sonography, a mass was noted in 56/67 (83.6%) cases and no sonographic correlate was identified in 11/67 (16.4%) cases. 21% (15/71) of lesions were upgraded on final surgical pathology. The upgrade rate of patients with sonographic correlate was 27% (15/56) vs with mammographic findings only was 0% (0/11). CONCLUSION: DCIS should be considered in the differential diagnosis of architectural distortion, asymmetries, focal asymmetries, and masses, even in the absence of microcalcifications. NCDCIS diagnosed by ultrasound may be an independent risk factor for upgrade. ADVANCES IN KNOWLEDGE: Radiologists must be aware of imaging features of DCIS and consider increased upgrade rate when NCDCIS is diagnosed by ultrasound.

Agreement in breast lesion assessment and final BI-RADS classification between radial and meander-like breast ultrasound.

BACKGROUND: This study prospectively investigates the agreement between radial (r-US) and meander-like (m-US) breast ultrasound with regard to lesion location, lesion size, morphological characteristics and final BI-RADS classification of individual breast lesions. METHODS: Each patient of a consecutive, unselected, mixed collective received a dual ultrasound examination. RESULTS: The agreement between r-US and m-US for lesion location ranged from good (lesion to mammilla distance ICC 0.64; lesion to skin distance ICC 0.72) to substantial (clock-face localization κ 0.70). For lesion size the agreement was good (diameter ICC 0.72; volume ICC 0.69), for lesion margin and architectural distortion it was substantial (κ 0.68 and 0.70, respectively). Most importantly, there was a substantial agreement (κ 0.76) in the final BI-RADS classification between r-US and m-US. CONCLUSIONS: Our recent comparison of radial and meander-like breast US revealed that the diagnostic accuracy of the two scanning methods was comparable. In this study, we observe a high degree of agreement between m-US and r-US for the lesion description (location, size, morphology) and final BI-RADS classification. These findings corroborate that r-US is a suitable alternative to m-US in daily clinical practice. Trial registration NCT02358837. Registered January 2015, retrospectively registered https://clinicaltrials.gov/ct2/results?cond=&term=NCT02358837&cntry=&state=&city=&dist =.

The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method.

BACKGROUND: The aim of this study was to investigate the concordance in lesion detection, between conventional Handhold Ultrasound (HHUS) and The Anatomical Intelligence for Breast ultrasound scan method. RESULT: The AI-breast showed the absolute agreement between the resident and an experienced breast radiologist. The ICC for the scan time, number, clockface location, distance to the nipple, largest diameter and mean diameter of the lesion obtained by a resident and an experienced breast radiologist were 0.7642, 0.7692, 0.8651, 0.8436, 0.7502, 0.8885, respectively. The ICC of the both practitioners of AI-breast were 0.7971, 0.7843, 0.9283, 0.8748, 0.7248, 0.8163, respectively. The k value of Anatomical Intelligence breast between experienced breast radiologist and resident in these image characteristics of boundary, morphology, aspect ratio, internal echo, and BI-RADS assessment were 0.7424, 0.7217, 0.6741, 0.6419, 0.6241, respectively. The k value of the two readers of AI-breast were 0.6531, 0.6762, 0.6439, 0.6137, 0.5981, respectively. CONCLUSION: The anatomical intelligent breast US scanning method has excellent reproducibility in recording the lesion location and the distance from the nipple, which may be utilized in the lesions surveillance in the future.

Detecting accurate tumor size across imaging modalities in breast cancer.

BACKGROUND: Of the most common imaging modalities for breast cancer diagnosis - mammogram (MAM), ultrasound (US), magnetic resonance imaging (MRI) - it has not been well established which of these most accurately corresponds to the histological tumor size. OBJECTIVE: To determine which imaging modality (MAM, US, MRI) is most accurate for determining the histological tumor size of breast lesions. METHODS: A retrospective study of 76 breast cancers found in 73 female patients who received MAM, US, and/or MRI was performed. 239 charts were reviewed and 73 patients met inclusion criteria. Analysis was performed using signed rank tests comparing the reported tumor size on the imaging modality to the tumor size on pathology report. RESULTS: Mammography and ultrasonography underestimated tumor size by 3.5 mm and 4 mm (p-values < 0.002), respectively. MRI tends to overestimate tumor size by 3 mm (p-value = 0.0570). Mammogram was equivalent to pathological size within 1 mm 24% of the time and within 2 mm 35% of the time. CONCLUSIONS: No one single modality is the most accurate for detecting tumor size. When interpreting the size reported on breast imaging modalities, the amount of underestimation and overestimation in tumor size should be considered for both clinical staging and surgical decision-making.

Point-of-care Ultrasound to Evaluate Breast Pathology in the Emergency Department.

INTRODUCTION: As physician-performed point-of-care ultrasound (POCUS) becomes more prevalent in the evaluation of patients presenting with various complaints in the emergency department (ED), one application that is significantly less used is breast ultrasound. This study evaluates the utility of POCUS for the assessment of patients with breast complaints who present to the ED and the impact of POCUS on medical decision-making and patient management in the ED. METHODS: This was a retrospective review of ED patients presenting with breast symptoms who received a POCUS examination. An ED POCUS database was reviewed for breast POCUS examinations. We then reviewed electronic health records for demographic characteristics, history, physical examination findings, ED course, additional imaging studies, and impact of the POCUS study on patient care and disposition. RESULTS: We included a total of 40 subjects (36 females, 4 males) in the final analysis. Most common presenting symptoms were breast pain (57.5%) and a palpable mass (37.5%). "Cobblestoning," ie, dense bumpy appearance, was the most common finding on breast POCUS, seen in 50% of the patients. Simple fluid collections were found in 37.5% of patients. CONCLUSION: Our study findings illustrate the utility of POCUS in the evaluation of a variety of breast complaints in the ED.

Clinicopathological features of breast cancer without mammographic findings suggesting malignancy.

BACKGROUND: Mammography (MG) is widely used for screening examinations. Dense breast reduces MG screening sensitivity, possibly delaying diagnosis. However, little is known about the characteristics of breast cancers without MG findings indicative of malignancy. Hence, we investigated breast cancer patients with tumors not detected by MG. PATIENTS AND METHODS: In total, 1758 Japanese patients with breast cancer, undergoing curative surgery between 2012 and 2018 without neo-adjuvant chemotherapy, were retrospectively investigated. Clinicopathological features were compared between patients without (MG-negative) and with (MG-positive) cancer-specific findings on MG. The current study included cases who came to our hospital after experiencing subjective symptoms, or whose tumors were detected by MG and/or US-screening. We reviewed results of both MG and US conducted at our institution. RESULTS: There were 201 MG-negative cases (11.4%). In patients with invasive disease, multivariate analysis revealed MG-negative patients to have higher breast density on MG (p < 0.001). Tumors of MG-negative patients were smaller (p < 0.001), showed less lymph node involvement (p = 0.011), and were of lower grade (p = 0.027). The majority of MG-negative tumors were found by ultrasound screening, being smaller than tumors in patients with subjective symptoms. In the MG-negative group, tumor characteristics such as tumor grade did not differ between those detected by screening versus subjective symptoms. CONCLUSION: Most tumors in MG-negative group patients were identified by US screening and the diseases were found at early stages with low malignancy. The usefulness of additional ultrasound with MG-screening might merit further investigations.

The Influence of Fat Grafting on Breast Imaging after Postmastectomy Reconstruction: A Matched Cohort Analysis.

BACKGROUND: Fat grafting to the reconstructed breast may result in the development of benign lesions on physical examination, prompting further investigation with imaging and biopsy. The aim of this study was to assess the influence of fat grafting on the incidence of imaging and biopsies after postmastectomy reconstruction. METHODS: Patients who underwent autologous or implant-based reconstruction following mastectomy from 2010 to 2018 were identified. Those receiving fat grafting as part of their reconstructive course were propensity matched 1:1 to those that did not with body mass index, reconstruction timing, and reconstruction type as covariates in a multivariable logistic regression model. RESULTS: A total of 186 patients were identified, yielding 93 propensity-matched pairs. Fat-grafted patients had higher incidences of palpable masses (38.0 percent versus 18.3 percent; p = 0.003) and postreconstruction imaging (47.3 percent versus 29.0 percent; p = 0.01), but no significant difference in the number of biopsies performed (11.8 percent versus 7.5 percent; p = 0.32). Imaging was predominately interpreted as normal (Breast Imaging-Reporting and Data System 1, 27.9 percent) or benign (Breast Imaging-Reporting and Data System 2, 48.8 percent), with fat necrosis being the most common finding [n = 20 (45.5 percent)]. No demographic, oncologic, reconstructive, or fat grafting-specific variables were predictive of receiving postreconstruction imaging on multivariate analysis. Fat grafting was not associated with decreased 5-year overall survival or locoregional recurrence-free survival. CONCLUSIONS: Fat grafting to the reconstructed breast is associated with increased incidences of palpable masses and subsequent postreconstruction imaging with benign radiographic findings. Although the procedure is oncologically safe, both patients and providers should be aware that concerning physical examination findings can be benign sequelae of fat grafting and may lead to increased imaging after breast reconstruction. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.

A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images.

The classification of benign and malignant based on ultrasound images is of great value because breast cancer is an enormous threat to women's health worldwide. Although both texture and morphological features are crucial representations of ultrasound breast tumor images, their straightforward combination brings little effect for improving the classification of benign and malignant since high-dimensional texture features are too aggressive so that drown out the effect of low-dimensional morphological features. For that, an efficient texture and morphological feature combing method is proposed to improve the classification of benign and malignant. Firstly, both texture (i.e., local binary patterns (LBP), histogram of oriented gradients (HOG), and gray-level co-occurrence matrixes (GLCM)) and morphological (i.e., shape complexities) features of breast ultrasound images are extracted. Secondly, a support vector machine (SVM) classifier working on texture features is trained, and a naive Bayes (NB) classifier acting on morphological features is designed, in order to exert the discriminative power of texture features and morphological features, respectively. Thirdly, the classification scores of the two classifiers (i.e., SVM and NB) are weighted fused to obtain the final classification result. The low-dimensional nonparameterized NB classifier is effectively control the parameter complexity of the entire classification system combine with the high-dimensional parametric SVM classifier. Consequently, texture and morphological features are efficiently combined. Comprehensive experimental analyses are presented, and the proposed method obtains a 91.11% accuracy, a 94.34% sensitivity, and an 86.49% specificity, which outperforms many related benign and malignant breast tumor classification methods.

Kinetic patterns of benign and malignant breast lesions on contrast enhanced digital mammogram.

PURPOSE: To evaluate the kinetic patterns of benign and malignant breast lesions using contrast-enhanced digital mammogram (CEDM). METHODS: Women with suspicious breast lesions on mammography or ultrasound were enrolled. Single-view mediolateral oblique (MLO) CEDM of an affected breast was acquired at 2, 3, 4, 7, and 10 min after injection of contrast agent. Three readers visually and semi-quantitatively analyzed the enhancement of suspicious lesions. The kinetic pattern of each lesion was classified as persistent, plateau, or washout over two time intervals, 2-4 min and 2-10 min, by comparing the signal intensity at the first time interval with that at the second. RESULTS: There were 73 malignant and 75 benign lesions in 148 patients (mean age: 52 years). Benign and malignant breast lesions showed the highest signal intensity at 3 min and 2 min, respectively. Average areas under receiver operating characteristic (ROC) curve for diagnostic accuracy based on lesion enhancement at different time points were 0.73 at 2 min, 0.72 at 3 min, 0.69 at 4 min, 0.67 at 7 min, and 0.64 at 10 min. Diagnostic performance was significantly better at 2, 3, and 4 min than at 7 and 10 min (all p < 0.05). A washout kinetic pattern was significantly associated with malignant lesions at 2-4 min and 2-10 min frames according to two of the three readers' interpretations (all p ≤ 0.001). CONCLUSION: Applications of optimal time intervals and kinetic patterns show promise in differentiation of benign and malignant breast lesions on CEDM.

Network Meta-analysis for the Diagnostic Approach to Pathologic Nipple Discharge.

Pathologic nipple discharge (PND) is one of the most common breast-related complaints for referral because of its supposed association with breast cancer. The aim of this network meta-analysis (NMA) was to compare the diagnostic efficacy of ultrasound, mammogram, cytology, magnetic resonance imaging (MRI), and ductoscopy in patients with PND, as well as to determine the best diagnostic strategy to assess the risk of malignancy as cause for PND. Cochrane Library, PubMed, and Embase were searched to collect relevant literature from the inception of each of the diagnostic methods until January 27, 2020. The search yielded 1472 original citations, of which 36 studies with 3764 patients were finally included for analysis. Direct and indirect comparisons were performed using an NMA approach to evaluate the combined odd ratios and to determine the surface under the cumulative ranking curves (SUCRA) of the diagnostic value of different imaging methods for the detection of breast cancer in patients with PND. Additionally, a subgroup meta-analysis comparing ductoscopy to MRI when conventional imaging was negative was also performed. According to this NMA, sensitivity for detection of malignancy in patients with PND was highest for MRI (83%), followed by ductoscopy (58%), ultrasound (50%), cytology (38%), and mammogram (22%). Specificity was highest for mammogram (93%) followed by ductoscopy (92%), cytology (90%), MRI (76%), and ultrasound (69%). Diagnostic accuracy was the highest for ductoscopy (88%), followed by cytology (82%), MRI (77%), mammogram (76%), and ultrasound (65%). Subgroup meta-analysis (comparing ductoscopy to MRI when ultrasound and mammogram were negative) showed no significant difference in sensitivity, but ductoscopy was statistically significantly better with regard to specificity and diagnostic accuracy. The results from this NMA indicate that although ultrasound and mammogram may remain low-cost useful first choices for the detection of malignancy in patients with PND, ductoscopy outperforms most imaging techniques (especially MRI) and cytology.

Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.

Ultrasound image segmentation plays an important role in computer-aided diagnosis of breast cancer. Existing approaches focused on extracting the tumor tissue to characterize the tumor class. However, other tissues are also helpful for providing the references. In this paper, a multi-target semantic segmentation approach is proposed based on the fully convolutional network for segmenting the breast ultrasound image into different target tissue regions. For handling the uncertain affiliation of pixels in blurry boundaries, the certain outputs of pixel characteristics in AlexNet are transformed into the fuzzy decision expression. For improving the image detail representation, the AlexNet network structure of fully convolutional network is optimized with fully connected skip structure. In addition, the output of net model is optimized with fully connected conditional random field to improve the characterization of spatial consistency and pixels' correlation of the image. Moreover, a data training optimization method is developed for improving the efficiency of network training. In the experiment, 325 ultrasound images and four error metrics are utilized for validating the segmentation performance. Comparing with existing methods, experimental results show that the proposed approach is effective for handling the breast ultrasound images accurately and reliably. Graphical abstract.

Comparison between execution and reading time of 3D ABUS versus HHUS.

BACKGROUND: Breast density is an independent risk factor for breast cancer. Mammography is supplemented with handheld ultrasound (HHUS) to increase sensitivity. Automatic breast ultrasound (ABUS) is an alternative to HHUS. Our study wanted to assess the difference in execution and reading time between ABUS and HHUS. METHODS AND MATERIALS: N = 221 women were evaluated consecutively between January 2019 and June 2019 (average age 53 years; range 24-89). The execution and reading time of ABUS and HHUS was calculated with an available stopwatch. Time started for both procedures when the patient was ready on the examination table to be examined to the end of image acquisition and interpretation. RESULTS: No patients interrupted the exam due to pain or discomfort. N = 221 women underwent ABUS and HHUS; N = 11 patients refused to undergo both procedures due to time constraints and refused ABUS; therefore, 210 patients were enrolled with both ABUS and HHUS available. The average time to perform and read the exam was 5 min for HHUS (DS ± 1.5) with a maximum time of 11 min and a minimum of 2 min. The average time with ABUS was 17 min (DS ± 3.8, with a maximum time of 31 min and a minimum time of 9 min). The ABUS technique took longer to be performed in all patients, with an average difference of 11 min (range 3-23 min) per patient, P < 0,001. Separating ABUS execution from reading time we highlighted as ABUS execution is more time-consuming respect HHUS. In addition, we can underline that time required by radiologists is longer for ABUS even only considering the interpretation time of the exam. CONCLUSION: A significant difference was observed in the execution and reading time of the two exams, where the HHUS method was more rapid and tolerated.

Racial/ethnic differences in supplemental imaging for breast cancer screening in women with dense breasts.

BACKGROUND: Mammography is limited when analyzing dense breasts for 2 reasons: (1) breast density masks underlying cancers and (2) breast density is an independent risk factor for cancer. We undertook this study to assess whether there is a racial/ethnic difference in supplemental image ordering for women with dense breasts. METHODS: We conducted a retrospective, observational cohort study of women aged 50-75 from an academic medical center who had completed a screening mammogram between 2014 and 2016 that was read as BI-RADS 1 with heterogeneously or extremely dense breasts or BI-RADS 2 with extremely dense breasts. Data were abstracted on type, timing and frequency of supplemental imaging tests ordered within two years of an initial screening mammogram. Patient characteristics (age, race/ethnicity, insurance, and comorbidities) were also abstracted. We used bivariate and multivariate logistic regression to assess for differences in supplemental imaging ordered by race/ethnicity. RESULTS: Three hundred twenty-six women met inclusion criteria. Mean age was 58 years: 25% were non-Hispanic white, 30% were non-Hispanic black, 27% were Hispanic, 6% were Asian and 14% unknown. Seventy-nine (24%) women were ordered a supplemental breast ultrasound after the initial screening mammogram. Non-Hispanic black and Hispanic women were less likely to have supplemental imaging ordered compared to non-Hispanic white women (15% and 10%, respectively, vs. 45%, p < 0.0001). After controlling for patient age, ordering physician specialty, insurance, BI-RADS score, breast density, and family history of breast cancer, non-Hispanic black and Hispanic women remained less likely to be ordered supplemental imaging (OR 0.38 [95% CI 0.17-0.85] and OR 0.24 [95% CI 0.10-0.61], respectively, p < 0.0001). CONCLUSION: Minority women with dense breasts are less likely to be ordered supplemental breast imaging. Further research should investigate physician and patient behaviors to determine barriers in supplemental imaging. Understanding these differences may help reduce disparities in breast cancer care and mortality.

Ultrasound and Clinical Characteristics of False-negative Results in Mammography Screening of Dense Breasts.

OBJECTIVE: We analyzed the clinical and ultrasound characteristics associated with false-negative mammography results in women with dense breasts. MATERIALS AND METHODS: The present study included 191 women (mean age, 54.47 ± 11.61 years; range, 31-75 years) who had presented from July 2015 to June 2018 with pathologically confirmed breast cancer. The mammography, conventional ultrasound, and elastography imaging results of these patients were reviewed. Breast density and screening cancer probability from mammography and conventional ultrasound imaging were scored using the Breast Imaging Reporting and Data System. Multivariate logistic regression analysis was performed to identify the factors independently associated with the false-negative results on breast mammographic screening. RESULTS: Of 191 confirmed breast cancer cases, 55 (28.8%) were assigned to category ≤ 3, and 136 (71.2%) were assigned to category ≥ 4a according to the mammography findings. All the breasts were graded mammographically as dense. A rougher margin (odds ratio [OR], 8.123; 95% confidence interval [CI], 1.731-38.127) was the strongest independent factor associated with negative results, followed by a lower stiffness ratio (OR, 7.773; 95% CI, 2.574-23.473), negative axillary lymph node status (OR, 5.066; 95% CI, 1.028-24.955), and softer lesions (OR, 1.037; 95% CI, 1.001-1.075). CONCLUSION: Women with dense breasts, a lower lesion/glandular tissue stiffness ratio, and softer cancer can easily lead to a misdiagnosis using mammography. By giving sufficient attention to the margin, earlier stage cancer with negative lymph node status are more likely to benefit from supplemental ultrasound imaging.