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BI-RADS® is a standardization system for breast imaging reports and results created by the American College of Radiology to initially address the lack of uniformity in mammography reporting. The system consists of a lexicon of descriptors, a reporting structure with final categories and recommended management, and a structure for data collection and auditing. It is accepted worldwide by all specialties involved in the care of breast diseases. Its implementation is related to the Mammography Quality Standards Act initiative in the United States (1992) and breast cancer screening. After its initial creation in 1993, four additional editions were published in 1995, 1998, 2003 and 2013. It is adopted in several countries around the world and has been translated into 6 languages. Successful breast cancer screening programs in high-income countries can be attributed in part to the widespread use of BI-RADS®. This success led to the development of similar classification systems for other organs (e.g., lung, liver, thyroid, ovaries, colon). In 1998, the structured report model was adopted in Brazil. This article highlights the pioneering and successful role of BI-RADS®, created by ACR 30 years ago, on the eve of publishing its sixth edition, which has evolved into a comprehensive quality assurance tool for multiple imaging modalities. And, especially, it contextualizes the importance of recognizing how we are using BI-RADS® in Brazil, from its implementation to the present day, with a focus on breast cancer screening.

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PURPOSE: Computer-aided diagnosis (CAD) systems on breast ultrasound (BUS) aim to increase the efficiency and effectiveness of breast screening, helping specialists to detect and classify breast lesions. CAD system development requires a set of annotated images, including lesion segmentation, biopsy results to specify benign and malignant cases, and BI-RADS categories to indicate the likelihood of malignancy. Besides, standardized partitions of training, validation, and test sets promote reproducibility and fair comparisons between different approaches. Thus, we present a publicly available BUS dataset whose novelty is the substantial increment of cases with the above-mentioned annotations and the inclusion of standardized partitions to objectively assess and compare CAD systems. ACQUISITION AND VALIDATION METHODS: The BUS dataset comprises 1875 anonymized images from 1064 female patients acquired via four ultrasound scanners during systematic studies at the National Institute of Cancer (Rio de Janeiro, Brazil). The dataset includes biopsy-proven tumors divided into 722 benign and 342 malignant cases. Besides, a senior ultrasonographer performed a BI-RADS assessment in categories 2 to 5. Additionally, the ultrasonographer manually outlined the breast lesions to obtain ground truth segmentations. Furthermore, 5- and 10-fold cross-validation partitions are provided to standardize the training and test sets to evaluate and reproduce CAD systems. Finally, to validate the utility of the BUS dataset, an evaluation framework is implemented to assess the performance of deep neural networks for segmenting and classifying breast lesions. DATA FORMAT AND USAGE NOTES: The BUS dataset is publicly available for academic and research purposes through an open-access repository under the name BUS-BRA: A Breast Ultrasound Dataset for Assessing CAD Systems. BUS images and reference segmentations are saved in Portable Network Graphic (PNG) format files, and the dataset information is stored in separate Comma-Separated Value (CSV) files. POTENTIAL APPLICATIONS: The BUS-BRA dataset can be used to develop and assess artificial intelligence-based lesion detection and segmentation methods, and the classification of BUS images into pathological classes and BI-RADS categories. Other potential applications include developing image processing methods like despeckle filtering and contrast enhancement methods to improve image quality and feature engineering for image description.

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Abstract BI-RADS® is a standardization system for breast imaging reports and results created by the American College of Radiology to initially address the lack of uniformity in mammography reporting. The system consists of a lexicon of descriptors, a reporting structure with final categories and recommended management, and a structure for data collection and auditing. It is accepted worldwide by all specialties involved in the care of breast diseases. Its implementation is related to the Mammography Quality Standards Act initiative in the United States (1992) and breast cancer screening. After its initial creation in 1993, four additional editions were published in 1995, 1998, 2003 and 2013. It is adopted in several countries around the world and has been translated into 6 languages. Successful breast cancer screening programs in high-income countries can be attributed in part to the widespread use of BI-RADS®. This success led to the development of similar classification systems for other organs (e.g., lung, liver, thyroid, ovaries, colon). In 1998, the structured report model was adopted in Brazil. This article highlights the pioneering and successful role of BI-RADS®, created by ACR 30 years ago, on the eve of publishing its sixth edition, which has evolved into a comprehensive quality assurance tool for multiple imaging modalities. And, especially, it contextualizes the importance of recognizing how we are using BI-RADS® in Brazil, from its implementation to the present day, with a focus on breast cancer screening.

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Introducción: En Cuba, el cáncer de mama constituye, actualmente, la primera causa de mortalidad oncológica en la mujer, acorde a lo establecido en la clasificación BI-RADS. A las lesiones mamarias categorizadas 5, por sospecha de malignidad, se les debe realizar una toma de biopsia para su evaluación histopatológica. Objetivo: Correlacionar los hallazgos clínicos e histológicos en pacientes portadores de lesiones mamográficas tipo BI-RADS 5. Materiales y métodos: Se realizó un estudio observacional, descriptivo y transversal sobre la relación existente entre el cáncer de mama tipo 5 de la clasificación BI-RADS y el resultado histológico, en una muestra dada por 30 pacientes. De esta se tomaron edad, raza, antecedentes oncológicos familiares, factores de riesgo, examen clínico, alteraciones de la mamografía e histológicas, datos que fueron manejados según estadísticas descriptivas. Resultados: Predominaron personas de la tercera edad, blancas, con familiares con enfermedades oncológicas, sedentarias y obesas con criterios imagenológicos de BI-RADS 5 e histología, prevaleciendo el carcinoma ductal. Conclusiones: El diagnóstico precoz del cáncer mamario mediante autoexamen o mamografía de escrutinio es fundamental.

Introduction: In Cuba, breast cancer is currently the first cause of oncological mortality in women, according to what is to established in the BI-RADS (Breast Imaging-Reporting and Data System). Breast lesions categorized 5, due to suspicion of malignancy, should be biopsied for their histopathological evaluation. Objective: To correlate the clinical and histological findings in patients with type 5 BI-RADS mammographic lesions. Materials and methods: A cross-sectional, descriptive and observational study was carried out on the relationship between type 5 mamma cancers of the BI-RADS classification and histological results in a sample of 30 patients. From them, age, race, family oncological history, risk factors, clinical examination, mammography and histological alterations were taken, data that were managed according to descriptive statistics. Results: White, elderly people predominated, with sedentary and obese relatives with oncological diseases, and BI-RADS 5 imaging criteria and histology, prevailing ductal carcinoma. Conclusions: Early diagnosis of breast cancer through auto examination or screening mammography is essential.

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Introducción: Las lesiones atípicas de la glándula mamaria afectan a un total de 20 000 mujeres en el mundo. La categorización BI-RADS 4 se considera indefinida y tiene variación considerable a malignidad hasta con cinco años de seguimiento. Objetivo: Establecer la correlación entre los informes BI-RADS 4 y hallazgos histopatológicos en mujeres con diagnóstico de patología atípica de mama que aceden a la consulta de Ginecología y Obstetricia del Hospital Provincial General Docente de Riobamba, Ecuador. Método: Se realizó un estudio de tipo analítico correlacional, retrospectivo, no experimental, de corte transversal en el periodo enero-diciembre de 2021, en 78 pacientes de 20 a 70 años. Los datos fueron tomados de las historias clínicas. Para la validez de pruebas se usó pruebas estadísticas tipo Ji cuadrado de correlación con intervalos de confianza del 95 % e índice de error del 5 %. Resultados: El principal factor de riesgo observado fue la edad ≥40 años (26,92 %), seguido de: deformidad mamaria (20,51 %), y recurrencia de nódulos (15,38 %). En relación a las subcategorías del informe BI-RADS 4, se observó que el tipo C fue la de mayor prevalencia con 39 casos (50 %). Predominó la hiperplasia ductal con el 44,87 % y la fue de un 95,83 % con una especificidad del 70 %. Hubo una significación asintónica de 0,001 entre BI-RADS 4 y resultados histopatológicos. Conclusiones: Las lesiones subcategorizadas como BI-RADS 4C tienen mayor probabilidad de malignizar debido a que se asocian principalmente a hiperplasia ductal, siendo esta el principal cáncer mamario en mujeres mayores de 40 años.

Introduction: Atypical lesions of the mammary gland affect a total of 20,000 women worldwide. The BI-RADS 4 categorization is considered indefinite and has considerable variation to malignancy with up to five years of follow-up. Objective: To establish the correlation between BI-RADS 4 reports and histopathological findings in women with a diagnosis of atypical breast pathology who attend the Gynecology and Obstetrics consultation of the Hospital Provincial General Docente de Riobamba, Ecuador. Method: A correlational, retrospective, non-experimental, cross-sectional analytical study was carried out in the period January-December 2021, in 78 patients aged 20 to 70 years. The data were taken from the medical records. For the validity of the tests, Chi-square correlation statistical tests were used with 95% confidence intervals and an error rate of 5%. Results: The main risk factor observed was age ≥40 years (26.92%), followed by: breast deformity (20.51%), and recurrence of nodules (15.38%). In relation to the subcategories of the BI-RADS 4 report, it was observed that type C was the most prevalent with 39 cases (50%). Ductal hyperplasia predominated with 44.87% and was 95.83% with a specificity of 70%. There was an asymptomatic significance of 0.001 between BI-RADS 4 and histopathological results. Conclusions: Lesions subcategorized as BI-RADS 4C are more likely to become malignant because they are mainly associated with ductal hyperplasia, this being the main breast cancer in women over 40 years of age.

Introdução: Lesões atípicas da glândula mamária afetam um total de 20.000 mulheres em todo o mundo. A categorização BI-RADS 4 é considerada indefinida e apresenta variação considerável para malignidade com até cinco anos de acompanhamento. Objetivo: Estabelecer a correlação entre os laudos BI-RADS 4 e os achados histopatológicos em mulheres com diagnóstico de patologia mamária atípica que atendem na consulta de Ginecologia e Obstetrícia do Hospital Provincial General Docente de Riobamba, Equador. Método: Estudo correlacional, retrospectivo, não experimental, transversal, analítico, foi realizado no período de janeiro a dezembro de 2021, em 78 pacientes com idade entre 20 e 70 anos. Os dados foram retirados dos prontuários médicos. Para a validade dos testes foram utilizados testes estatísticos de correlação qui-quadrado com intervalos de confiança de 95% e taxa de erro de 5%. Resultados: O principal fator de risco observado foi idade ≥40 anos (26,92%), seguido de: deformidade mamária (20,51%) e recorrência de nódulos (15,38%). Em relação às subcategorias do relatório BI-RADS 4, observou-se que o tipo C foi o mais prevalente com 39 casos (50%). A hiperplasia ductal predominou com 44,87% e foi de 95,83% com especificidade de 70%. Houve significância assintomática de 0,001 entre o BI-RADS 4 e os resultados histopatológicos. Conclusões: Lesões subcategorizadas como BI-RADS 4C têm maior probabilidade de se tornarem malignas porque estão associadas principalmente à hiperplasia ductal, sendo este o principal câncer de mama em mulheres com mais de 40 anos.

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Resumen ANTECEDENTES: La mastitis granulomatosa idiopática es un padecimiento benigno de la glándula mamaria sumamente raro, simulador de cáncer de mama. Las manifestaciones clínicas más significativas son: nódulo palpable, cambios en la coloración de la piel y mastalgia. Para integrar su diagnóstico se requiere el apoyo de estudios auxiliares de imagen, sin que por ello deje de ser imprescindible la toma de biopsia para establecer el diagnóstico definitivo. No existen pautas de tratamiento debidamente establecidas, pero sí de tratamiento farmacológico y quirúrgico, ésta última se reserva para casos de recidivas, que son frecuentes. CASO CLÍNICO: Paciente de 35 años, nuligesta; acudió a consulta debido a la aparición de un tumor palpable en la glándula mamaria derecha, de siete meses de evolución, con cambios en la coloración y retracción del pezón. La mastografía y ecografía catalogaron el tumor en BI-RADS 5. La biopsia con aguja de corte y citología integraron el diagnóstico de mastitis granulomatosa idiopática. Se indicó tratamiento farmacológico y el tumor desapareció espontáneamente. CONCLUSIONES: La mastitis granulomatosa es una enfermedad rara y de diagnóstico complejo. Para cada paciente habrá un protocolo diferente para evitar el sobretratamiento. Su pronóstico es bueno, a pesar de ser un simulador de cáncer de mama. El tratamiento aún es ambiguo, pero en primera instancia se recomiendan los corticosteroides o inmunosupresores y la cirugía se reserva para casos de recidivas.

Abstract BACKGROUND: Idiopathic granulomatous mastitis is an extremely rare benign entity of the mammary gland, simulating breast cancer. The most significant clinical manifestations are: palpable nodule, skin discoloration changes and mastalgia. The diagnosis requires the support of auxiliary imaging studies, although a biopsy is essential to establish the definitive diagnosis. There are no well-established treatment guidelines, but there are guidelines for pharmacological and surgical treatment, the latter is reserved for cases of recurrence, which are frequent. CLINICAL CASE: A 35-year-old nulligesta patient came for consultation due to the appearance of a palpable tumor in the right mammary gland, of 7 months of evolution, with changes in color and nipple retraction. The mastography and ultrasound catalogued the tumor in BI-RADS 5. The biopsy with cutting needle and cytology integrated the diagnosis of idiopathic granulomatous mastitis. Pharmacological treatment was indicated, and the tumor disappeared spontaneously. CONCLUSIONS: Granulomatous mastitis is a rare disease with a complex diagnosis. For each patient there will be a different protocol to avoid overtreatment. Its prognosis is good, despite being a breast cancer simulator. Treatment is still ambiguous but, in the first instance, corticosteroids or immunosuppressants are recommended and surgical treatment is reserved for cases of recurrence.

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Objetivo: determinar la calidad y efectividad del trabajo realizado en el Centro Mamario del Hospital Universitario Austral, mediante la correlación entre las diferentes categorizaciones del BI-RADS, el resultado de la anatomía patológica y el cálculo del respectivo VPP. Correlacionar los resultados con los obtenidos a nivel internacional. Material y método: se realizó una revisión de todas las biopsias guiadas por ultrasonido, se seleccionaron aquellas pacientes estudiadas con algún método de diagnóstico por imágenes en el Centro Mamario del Hospital Universitario Austral y cuya categorización final de BI-RADS fuera de 4 o 5, entre junio de 2014 y mayo de 2017. Los resultados de la anatomía patológica fueron divididos en 3 categorías (benigno, maligno y alto riesgo) Resultados: de una total de 491 pacientes 223 correspondieron a la subcategoría 4a, 69 pacientes a la subcategoría 4b, 85 pacientes a la subcategoría 4c y 114 pacientes a la categoría 5. En las subcategorías 4a y 4b predominaron las lesiones benignas y en la subcategoría 4c y categoría 5 predominaron las lesiones malignas. Los VPP para cáncer de mama obtenidos fueron de 7%, 48%, 84% y 98% para las subcategorías 4a, 4b, 4c y categoría 5 respectivamente. Conclusiones: la investigación demostró que los resultados de los VPP, la calidad y efectividad del trabajo realizado en el Centro Mamario del Hospital Universitario Austral se encuentran dentro de los parámetros internacionales.

Objetive: to determine the quality and effectiveness of the work carried out in the Breast Center of the Austral University Hospital, through the correlation between the different categorizations of the BI-RADS, the result of the pathological anatomy and the calculation of the respective VPP. Correlate the results with those obtained internationally. Material and method: a review of al ultasound-guided biopsies was performed, those patients studied with some diagnostic imaging method were selected in the Breast Center of the Austral University Hospital and whose final categorization of BI-RADS was 4 or 5, between june 2014 and may 2017. The results of the pathological anatomy were divided into 3 categories (bening, malignant and high risk). Results: from a total of 491 patients, 223 corresponded to subcategory 4a, 69 patients to subcategory 4b, 85 patiens to subcategory 4c and 114 patients to category 5. In subcategories 4a and 4b benign lesions predominated and in subcategory 4c and category 5, malignant lesions predominated. The VPP for breast cáncer obtained were 7%, 48%, 84% and 98% for subcategories 4a, 4b, 4c y category 5 respectively. Conclusions: the investigation showed that the results of the PPV, the quality and effectiveness of the work carried out in the Breast Center of the Autral University Hospital are within the international parameters.

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OBJECTIVE: Using terms adapted from the BI-RADS Mammography and MRI lexicons, we trained radiologists to interpret contrast-enhanced mammography (CEM) and assessed reliability of their description and assessment. METHODS: A 60-minute presentation on CEM and terminology was reviewed independently by 21 breast imaging radiologist observers. For 21 CEM exams with 31 marked findings, observers recorded background parenchymal enhancement (BPE) (minimal, mild, moderate, marked), lesion type (oval/round or irregular mass, or non-mass enhancement), intensity of enhancement (none, weak, medium, strong), enhancement quality (none, homogeneous, heterogeneous, rim), and BI-RADS assessment category (2, 3, 4A, 4B, 4C, 5). "Expert" consensus of 3 other radiologists experienced in CEM was developed. Kappa statistic was used to assess agreement between radiologists and expert consensus, and between radiologists themselves, on imaging feature categories and final assessments. Reproducibility of specific feature descriptors was assessed as fraction of consensus-concordant responses. RESULTS: Radiologists demonstrated moderate agreement for BPE, (mean kappa, 0.43; range, 0.05-0.69), and lowest reproducibility for "minimal." Agreement was substantial for lesion type (mean kappa, 0.70; range, 0.47-0.93), moderate for intensity of enhancement (mean kappa, 0.57; range, 0.44-0.76), and moderate for enhancement quality (mean kappa, 0.59; range, 0.20-0.78). Agreement on final assessment was fair (mean kappa, 0.26; range, 0.09-0.44), with BI-RADS category 3 the least reproducible. Decision to biopsy (BI-RADS 2-3 vs 4-5) showed moderate agreement with consensus (mean kappa, 0.54; range, -0.06-0.87). CONCLUSION: With minimal training, agreement for description of CEM findings by breast imaging radiologists was comparable to other BI-RADS lexicons.

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OBJECTIVE: To determine the level of agreement within and between observers in the categorization of breast density on mammograms in a group of professionals using the fifth edition of the American College of Radiology's BI-RADS® Atlas and to analyze the concordance between experts' categorization and automatic categorization by commercial software on digital mammograms. METHODS: Six radiologists categorized breast density on 451 mammograms on two occasions one month apart. We calculated the linear weighted kappa coefficients for inter- and intra-observer agreement for the group of radiologists and between the commercial software and the majority report. We analyzed the results for the four categories of breast density and for dichotomous classification as dense versus not dense. RESULTS: The interobserver agreement among radiologists and the majority report was between moderate and nearly perfect for the analysis by category (κ=0.64 to 0.84) and for the dichotomous classification (κ=0.63 to 0.84). The intraobserver agreement was between substantial and nearly perfect (κ=0.68 to 0.85 for 4 categories and k=0.70 to 0.87 for the dichotomous classification). The agreement between the majority report and the commercial software was moderate both for the four categories (κ=0.43) and for the dichotomous classification (κ=0.51). CONCLUSION: Agreement on breast density within and between radiologists using the criteria established in the fifth edition of the BI-RADS® Atlas was between moderate and nearly perfect. The level of agreement between the specialists and the commercial software was moderate.

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Objetivos El objetivo principal del siguiente trabajo es relacionar los hallazgos imagenológicos con los resultados histopatológicos de lesiones mamarias que requirieron biopsia. El primer objetivo secundario es evaluar el grado de subestimación de aquellas lesiones de riesgo a las que se le realizó Biopsia Radioquirúrgica (brq). El segundo objetivo secundario es conocer la sensibilidad y especificidad del bi-rads como método de diagnóstico para nuestra muestra. Material y método Se incluyeron 403 pacientes que fueron biopsiadas en el Centro de Diagnóstico y Tratamiento de Enfermedades Mamarias (cedytem) de la Ciudad de Santa Fe, en el período de tiempo comprendido entre el 1/1/15 y el 31/12/17. Los nódulos fueron punzados bajo guía ecográfica y las microcalcificaciones, asimetrías y distorsiones arquitecturales bajo guía estereotáxica. La concordancia entre los hallazgos imagenológicos e histopatológicos fue analizada teniendo en cuenta la clasificación de Parikh y Tickman. Resultados Se constató una buena relación entre las categorías bi-rads y la probabilidad de malignidad de las lesiones acorde a lo establecido por el Colegio Americano de Radiólogos (acr). Se observó un 100% de concordancia entre las lesiones categorizadas como benignas (bi-rads 3) y un 97% entre las categorizadas como malignas (bi-rads 5). Las lesiones categorizadas en el grupo de moderada a alta sospecha de malignidad (bi-rads 4B y bi-rads 4C) que resultaron benignas fueron reevaluadas para decidir nuevo control en 6 meses, repetir la biopsia o indicar la realización de brq. Se diagnosticaron 17 lesiones de riesgo (4,2%), de las cuales 12 fueron reevaluadas con brq, evidenciando un porcentaje de subestimación del 42%. Conclusiones A partir de los datos obtenidos, se calculó una sensibilidad del bi-rads como método de diagnóstico del 95% y una especificidad del 74%

Objectives The primary aim of the following work is to relate the imaging findings to the histopathological results of breast lesions that required biopsy. The second aim is to evaluate the degree of underestimation of those risk lesions that underwent a radio-surgical biopsy. The last objective is to know the sensibility and specificity of bi-rads as a diagnosis method for our sample. Materials and method This work included four hundred and three patients who were biopsied at Center for the Diagnosis and Treatment of Breast Diseases (cedytem) in the city of Santa Fe, in the time period between 1/1/15 and 12/31/17. The nodules were punctured under ultrasound guidance while microcalcifications, asymmetries and architectural distortions under stereotactic guidance. Results A good relationship was observed between the bi-rads categories and the probability of malignancy of the lesions according to what is established by the American College of Radiologists (acr). The imaging-histopathological findings correlation was evaluated taking into account the classification of Parikh and Tickman. A 100% correlation was observed between lesions categorized as benign (bi-rads 3), and 97% among those categorized as malignant (bi-rads 5). The lesions categorized as moderate or high suspicion of malignancy (birads 4B and bi-rads 4C) which turned out to be benign were re-evaluated to decide on having a new control in 6 months, repeating the biopsy or indicating the radio-surgical biopsy. Seventeen risk lesions (4.2%) were diagnosed of which twelve were reassessed with radio-surgical biopsy, evidencing an underestimation percentage of 42%. Conclusions Based on the data obtained, it was calculated for our sample a 95% sensitivity of the bi-rads and a 74% of specificity as a diagnostic method.

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BACKGROUND: Appropriate mammary positioning is an important factor in optimizing image quality in mammography (MMG). PURPOSE: To study the correlation of quality criteria and breast density classification proposed by the American College of Radiology (ACR) and European Guidelines and its influence to achieve a proper positioning, therefore an adequate MMG. MATERIAL AND METHODS: A total of 128 routine MMG examinations were reviewed for the definition of breast composition parenchyma and assessment of several quality criteria proposed by the ACR and European Guidelines to achieve an adequate MMG. Adequate MMG was defined as a difference between the posterior nipple line (PNL), difference of the mediolateral oblique (MLO) and craniocaudal (CC) incidences > 1 cm. The quality criteria were analyzed as a function of correlation coefficient in order to evaluate the individual impact of each factor and analysis of variance (ANOVA) for all criteria. Receiver operating characteristic (ROC) curves were plotted to evaluate the performance of the criteria on each type of parenchyma. RESULTS: Negative correlation of fatty breasts and visibility of the mammary angle, a greater number of skin folds and PNL > 1 cm (r < 0). Dense MMG presented less visibility of the lateral tissue compared with other categories. Area under the curve of ROC analysis revealed values of 53.1% and 54.7% for the right and left breasts, respectively. CONCLUSION: Several factors influenced in the MMG process, but we find that breast parenchyma has a substantial role in affecting these criteria and therefore a correct position for diagnosis, which could compromise MMG diagnostic performance.

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Mammary tumor is the most frequent among the tumors that affect canine females, with relevant importance in veterinary medicine. The objective of this study was to determine the image characteristics of mammary tumors in female dogs, and compare different ultrasonographic techniques for neoplastic evaluation. During the experiment, 30 bitches with presence of nodular lesion in the mammary gland were used. Initially females were submitted to clinical and laboratory evaluations, and subsequent to the ultrasound examination of the tumor mass, as well as abdominal ultrasound and thoracic x-ray for the metastasis investigation. Quantitative analysis by histogram of the gray levels and categorization of the tumor masses by the BI-RADS system were performed. Later, the bitches were submitted to surgical resection of the tumors, where samples of the neoplastic tissue were collected for histopathological analysis. Carcinoma in mixed tumor showed a higher rate (33.3%), and the malignancy degree of epidermal tumors were classified in grade 1 (n=9), grade 2 (n=12) and grade 3 (n=3). Malignancy degree showed positive correlation with BI-RADS (r=0.55; P<0.05) and with the parameter echotexture - histogram base width (r=0.42, P<0.05). BI-RADS graduation also showed a positive correlation with the echotexture parameters (standard deviation of average echogenicity r=0.66, P<0.05 and base width r=0.55, P<0.05). It was concluded that the BI-RADS method in combination with the echotexture of tumors, can be used to evaluate mammary tumors in dogs and establish the planning of treatment.(AU)

Entre os tumores que acometem cadelas a neoplasia mamária é a de maior incidência, apresentando relevante importância na medicina veterinária. Este trabalho teve o objetivo de determinar as características ultrassonográficas de neoplasias mamárias em cadelas, e comparar diferentes técnicas ultrassonográficas de avaliação tumoral. Durante a realização deste experimento, foram utilizadas 30 cadelas com presença de lesão nodular em glândula mamária. Inicialmente as fêmeas foram submetidas a avaliações clínicas e laboratoriais, e subsequentemente à realização de exame ultrassonográfico da massa tumoral, assim como ultrassom abdominal e raio x torácico para a pesquisa de metástase. Foram realizadas a análise quantitativa por histograma dos níveis de cinza e categorização das massas tumorais pelo sistema BI-RADS. Posteriormente as cadelas foram submetidas à ressecção cirúrgica dos tumores, onde foram coletadas amostras do tecido neoplásico para análise histopatológica. O carcinoma em tumor misto foi o tipo tumoral de maior incidência (33.3%), e a graduação de malignidade dos tumores epiteliais foram classificadas em grau 1 (n=9), grau 2 (n=12) e grau 3 (n=3). A graduação demonstrou correlação positiva com a categorização BI-RADS (r=0,55; P<0,05) e com o parâmetro de ecotextura - largura de base do histograma (r=0,42; P<0,05). A graduação BI-RADS também demonstrou uma correlação positiva com os parâmetros de ecotextura (desvio padrão da média da ecogenicidade r=0,66; P<0,05 e largura de base r=0,55; P<0,05). Conclui-se que o método de categorização BI-RADS, assim como os parâmetros de ecotextura dos tumores, podem ser usados para avaliação de neoplasia mamária em cadelas e assim auxiliar no planejamento de tratamento de cada caso.(AU)

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Introduction: Breast cancer is the neoplasm that most affects women in Brazil and the world, and its incidence has increased steadily over the last decade. Due to screening mammography programs, according to age group, the mortality rate of breast cancer has decreased by 31%. With the increase in the number of screening examinations, there has also been increase in the number of suspicious lesions diagnosed and, consequently, increase in the indication and performance of breast biopsies. With the help of the categorizations that the American College of Radiology published, according to the Breast Imaging Reporting and Data System (BI-RADS®), it was possible to standardize the reports and descriptions of breast lesions, both in mammography and ultrasound, facilitating decision-making in regard to suspicious lesions. Objective: To evaluate the positive predictive value (PPV) of nonpalpable breast lesions biopsied in the Radiodiagnostic Service of Hospital Naval Marcílio Dias. Method: A retrospective and analytical study of 88 patients submitted to stereotaxic guided mammary biopsies from December 2015 to December 2016 with suspected diagnosis of malignant lesions, classified by mammographic BI-RADS in categories 4 and 5 and later correlation with the histopathological reports. Results: PPV was high for category 5 lesions, and for category 4 lesions PPV was low and progressively increased with the subcategories. Conclusion: BI­RADS categorization is an effective predictor for the risk of malignancy in suspicious mammographic lesions.

Introdução: O câncer de mama é a neoplasia que mais acomete mulheres no Brasil e no mundo e sua incidência vem aumentando progressivamente ao longo dessa última década. Devido aos programas de rastreamento mamográfico, de acordo com a faixa etária, a taxa de mortalidade por câncer de mama diminuiu em 31%. Com o aumento do número de exames de rastreamento houve aumento, também, da quantidade de lesões suspeitas diagnosticadas e, consequentemente, um aumento na indicação e realização de biópsias mamárias. Com o auxílio das categorizações que o American College of Radiology publicou, segundo o Breast Imaging Reporting and Data System (BI-RADS®), foi possível padronizar os laudos e as descrições das lesões mamárias, tanto na mamografia quanto na ultrassonografia, facilitando a tomada de decisão perante a lesões de aspecto suspeito. Objetivo: Avaliar o valor preditivo positivo (VPP) das lesões mamárias não palpáveis nas quais foi realizada biópsia no Serviço de Radiodiagnóstico do Hospital Naval Marcílio Dias. Método: Estudo retrospectivo e analítico de 88 pacientes submetidas a biópsias mamárias guiadas por estereotaxia no período de dezembro de 2015 a dezembro de 2016 com diagnóstico suspeito de lesões malignas, classificadas no BI-RADS® mamográfico em categorias 4 e 5, com posterior correlação com os laudos histopatológicos. Resultados: Foi encontrado alto valor preditivo positivo na categoria cinco e, nas lesões classificadas como categoria quatro, o VPP foi menor, aumentando progressivamente com as subcategorias. Conclusão: A categorização BI-RADS® é um preditor eficaz para o risco de malignidade nas lesões suspeitas na mamografia.

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Introducción El cáncer de mama es la primera causa de muerte por cáncer en Argentina, por lo cual su detección en estadio subclínico es imprescindible. Para esto, la mamografía y su clasificación (bi-rads) son un instrumento invaluable para elegir las pacientes que serán sometidas a estudios invasivos. Objetivo El objetivo del siguiente estudio fue evaluar la utilidad de la biopsia radioquirúgica (brq) en comparación con la punción aspiración asistida por vacío en el hospital Municipal de Morón. Material y método Se realizó un estudio retrospectivo observacional en 97 pacientes sometidas a punciones tipo Mammotome y a biopsias radioquirúrgicas: 76 brq y 21 Mammotome. Resultados En las brq se hallaron 65% de lesiones benignas, 12% de lesiones infiltrantes y 22% de lesiones proliferativas. En las pacientes sometidas a Mamotomme se encontraron 67% de lesiones benignas, 12% de lesiones malignas y 22% de lesiones proliferativas. La necesidad de nuevas re-biopsias por discordancia entre la anatomía patológica y las imágenes fue similar. La necesidad de una segunda intervención fue del 33% para ambos casos (segunda cirugía en caso de brq y primera cirugía para Mammotome). Los tiempos entre la primera cirugía y la finalización del tratamiento quirúrgico fueron considerablemente menores en la rama Mammotome. En el caso de brq, el tiempo fue de 110 días para pacientes con una sola intervención y de 140 días en pacientes con dos intervenciones. En las pacientes cuyo diagnóstico se hizo mediante Mammotome, el tiempo fue de 87 días si solo recibieron una intervención y 127 días si fueron sometidas a dos intervenciones. Conclusiones Si bien en hospitales de bajo recursos podríamos pensar al costo de Mammotome como un gasto extra, la comparación con la biopsia radioquirúgica nos muestra que el gasto es menor, con el beneficio de la disminución en el tiempo de tratamiento. Por esto, si bien la biopsia radioquirúgica es de uso frecuente y todavía muy útil en hospitales de bajos recursos, debemos esforzarnos para realizar convenios de trabajo con centros de diagnóstico que cuenten con esta útil herramienta

Introduction Breast cancer is the leading cause of cancer death in Argentina, so their detection in subclinical stage is essential. For this, mammography and breast imaging and Reporting Data System (bi-rads) are an invaluable tool for choosing patients will undergo invasive studies. Objective The objective of the following study was to compare the usefulness of the radio-surgical biopsy (brq) in comparison to the vacuum assisted aspiration puncture in the Municipal Hospital of Moron. Materials and method A retrospective observational study was performed on 97 patients submitted to Mamotomme punctures and radio-surgical biopsies: 76 brq and 21 Mammotome. Results In brq, 65% were benign lesions, 12% infiltrating lesions and 22% proliferative lesions. In the patients submitted to Mammotome, 67% of benign lesions, 12% of malignant lesions and 22% of proliferative lesions were found. The need for new biopsies due to discordance between the pathological anatomy and the images was similar. The need for a second intervention was 33% for both cases (second surgery in brq and first surgery for Mammotome). The time between the first surgery and the end of the surgical treatment was considerably shorter in the Mammotome branch. In the case of brq, the time was 110 days for patients with one intervention and 140 days for patients with two interventions. In patients whose diagnosis was made using Mammotome, the time was 87 days if they only received one intervention and 127 days if they underwent two interventions. Conclusions Although in low income hospitals we could think of the cost of Mammotome as an extra expense; the comparison with the radio-surgical biopsy shows that the expenditure is lower, with the benefit of a decrease in time at treatment. Therefore, while the brq is frequently used and still very useful in low-income hospitals, we must strive to make working agreements with diagnostic centers that have this useful tool

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Mammary tumor is the most frequent among the tumors that affect canine females, with relevant importance in veterinary medicine. The objective of this study was to determine the image characteristics of mammary tumors in female dogs, and compare different ultrasonographic techniques for neoplastic evaluation. During the experiment, 30 bitches with presence of nodular lesion in the mammary gland were used. Initially females were submitted to clinical and laboratory evaluations, and subsequent to the ultrasound examination of the tumor mass, as well as abdominal ultrasound and thoracic x-ray for the metastasis investigation. Quantitative analysis by histogram of the gray levels and categorization of the tumor masses by the BI-RADS system were performed. Later, the bitches were submitted to surgical resection of the tumors, where samples of the neoplastic tissue were collected for histopathological analysis. Carcinoma in mixed tumor showed a higher rate (33.3%), and the malignancy degree of epidermal tumors were classified in grade 1 (n=9), grade 2 (n=12) and grade 3 (n=3). Malignancy degree showed positive correlation with BI-RADS (r=0.55; P<0.05) and with the parameter echotexture - histogram base width (r=0.42, P<0.05). BI-RADS graduation also showed a positive correlation with the echotexture parameters (standard deviation of average echogenicity r=0.66, P<0.05 and base width r=0.55, P<0.05). It was concluded that the BI-RADS method in combination with the echotexture of tumors, can be used to evaluate mammary tumors in dogs and establish the planning of treatment.(AU)

Entre os tumores que acometem cadelas a neoplasia mamária é a de maior incidência, apresentando relevante importância na medicina veterinária. Este trabalho teve o objetivo de determinar as características ultrassonográficas de neoplasias mamárias em cadelas, e comparar diferentes técnicas ultrassonográficas de avaliação tumoral. Durante a realização deste experimento, foram utilizadas 30 cadelas com presença de lesão nodular em glândula mamária. Inicialmente as fêmeas foram submetidas a avaliações clínicas e laboratoriais, e subsequentemente à realização de exame ultrassonográfico da massa tumoral, assim como ultrassom abdominal e raio x torácico para a pesquisa de metástase. Foram realizadas a análise quantitativa por histograma dos níveis de cinza e categorização das massas tumorais pelo sistema BI-RADS. Posteriormente as cadelas foram submetidas à ressecção cirúrgica dos tumores, onde foram coletadas amostras do tecido neoplásico para análise histopatológica. O carcinoma em tumor misto foi o tipo tumoral de maior incidência (33.3%), e a graduação de malignidade dos tumores epiteliais foram classificadas em grau 1 (n=9), grau 2 (n=12) e grau 3 (n=3). A graduação demonstrou correlação positiva com a categorização BI-RADS (r=0,55; P<0,05) e com o parâmetro de ecotextura - largura de base do histograma (r=0,42; P<0,05). A graduação BI-RADS também demonstrou uma correlação positiva com os parâmetros de ecotextura (desvio padrão da média da ecogenicidade r=0,66; P<0,05 e largura de base r=0,55; P<0,05). Conclui-se que o método de categorização BI-RADS, assim como os parâmetros de ecotextura dos tumores, podem ser usados para avaliação de neoplasia mamária em cadelas e assim auxiliar no planejamento de tratamento de cada caso.(AU)

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BACKGROUND AND OBJECTIVE: Conventional computer-aided diagnosis (CAD) systems for breast ultrasound (BUS) are trained to classify pathological classes, that is, benign and malignant. However, from a clinical perspective, this kind of classification does not agree totally with radiologists' diagnoses. Usually, the tumors are assessed by using a BI-RADS (Breast Imaging-Reporting and Data System) category and, accordingly, a recommendation is emitted: annual study for category 2 (benign), six-month follow-up study for category 3 (probably benign), and biopsy for categories 4 and 5 (suspicious of malignancy). Hence, in this paper, a CAD system based on BI-RADS categories weighted by pathological information is presented. The goal is to increase the classification performance by reducing the common class imbalance found in pathological classes as well as to provide outcomes quite similar to radiologists' recommendations. METHODS: The BUS dataset considers 781 benign lesions and 347 malignant tumors proven by biopsy. Moreover, every lesion is associated to one BI-RADS category in the set {2, 3, 4, 5}. Thus, the dataset is split into three weighted classes: benign, BI-RADS 2 in benign lesions; probably benign, BI-RADS 3 and 4 in benign lesions; and malignant, BI-RADS 4 and 5 in malignant lesions. Thereafter, a random forest (RF) classifier, denoted by RFw, is trained to predict the weighted BI-RADS classes. In addition, for comparison purposes, a RF classifier is trained to predict pathological classes, denoted as RFp. RESULTS: The ability of the classifiers to predict the pathological classes is measured by the area under the ROC curve (AUC), sensitivity (SEN), and specificity (SPE). The RFw classifier obtained AUC=0.872,SEN=0.826, and SPE=0.919, whereas the RFp classifier reached AUC=0.868,SEN=0.808, and SPE=0.929. According to a one-way analysis of variance test, the RFw classifier statistically outperforms (p < 0.001) the RFp classifier in terms of the AUC and SEN. Moreover, the classification performance of RFw to predict weighted BI-RADS classes is given by the Matthews correlation coefficient that obtained 0.614. CONCLUSIONS: The division of the classification problem into three classes reduces the imbalance between benign and malignant classes; thus, the sensitivity is increased without degrading the specificity. Therefore, the CAD based on weighted BI-RADS classes improves the classification performance of the conventional CAD systems. Additionally, the proposed approach has the advantage of being capable of providing a multiclass outcome related to radiologists' recommendations.

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A BI-RADS category of 4 from a mammogram indicates suspicious breast lesions, which require core biopsies for diagnosis and have an approximately one third chance of being malignant. Human plasma contains many circulating microRNAs, and variations in their circulating levels have been associated with pathologies, including cancer. Here, we present a novel methodology to identify malignant breast lesions in women with BI-RADS 4 mammography. First, we used the miRNome array and qRT-PCR to define circulating microRNAs that were differentially represented in blood samples from women with breast tumor (BI-RADS 5 or 6) in comparison to controls (BI-RADS 1 or 2). Next, we used qRT-PCR to quantify the level of this circulating microRNAs in patients with mammograms presenting with BI-RADS category 4. Finally, we developed a machine learning method (Artificial Neural Network - ANN) that receives circulating microRNA levels and automatically classifies BI-RADS 4 breast lesions as malignant or benign. We identified a minimum set of three circulating miRNAs (miR-15a, miR-101 and miR-144) with altered levels in patients with breast cancer. These three miRNAs were quantified in plasma from 60 patients presenting biopsy-proven BI-RADS 4 lesions. Finally, we constructed a very efficient ANN that could correctly classify BI-RADS 4 lesions as malignant or benign with approximately 92.5% accuracy, 95% specificity and 88% sensibility. We believe that our strategy of using circulating microRNA and a machine learning method to classify BI-RADS 4 breast lesions is a non-invasive, non-stressful and valuable complementary approach to core biopsy in women with BI-RADS 4 lesions.

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El objetivo de la investigación fue establecer la asociación entre los hallazgos de la clasificación BI-RADS y los resultados de la biopsia definitiva en pacientes con patología mamaria. Se seleccionaron 368 pacientes con algún tipo de patología mamaria que ameritara la realización de la mamografía y biopsia estereotáctica de la lesión que asistieron al Hospital Central Dr. Urquinaona, Maracaibo, Venezuela. Se evaluaron características de las pacientes, clasificación BI-RADS y los resultados de la biopsia definitiva. La edad promedio de las pacientes fue de 62,4 +/- 8,9 años. Basado en el diagnóstico patológico final, 216 lesiones (58,6 %) fueron catalogadas como benignas, 142 lesiones (38,6 %) como malignas y 10 lesiones (2,7 %) como premalignas. La clasificación BI-RADS final para las pacientes estudiadas fue: 34 pacientes (9,2 %) incluidas en la categoría 3, 219 pacientes (59,5 %) incluidas en la categoría 4 y 105 pacientes (28,8 %) incluidas en la categoría 5. Se observó que existe una asociación significativa entre las categorías de la clasificación BI-RADS con las lesiones mamarias malignas (p < 0,05). Se concluye que existe una asociación significativa entre los hallazgos de la clasificación BI-RADS y los resultados de la biopsia definitiva en pacientes con patología mamaria.

The objective of research was to establish de association between findings of BI-RADS classification and biopsy results in patients with breast pathology. Three hundred and sixty eighth patients with any kind of breast pathology who submitted to mammography and estereotactic biopsy of lesion who assisted to Hospital Central Dr. Urquinaona, Maracaibo, Venezuela were selected. Patient characteristics, Bi-RADS classification and result of definitive biopsy were evaluated.Mean age of patients was 62.4 +/- 8.9 years-old. Based on final pathological diagnosis, 216 lesions (58,6 %) were considered as benign, 142 lesions (38,6 %) as malignant and 10 lesions (2,7 %) as pre-malignant. Final BI-RADS classification for studied patients was: 34 patients (9,2 %) were included in category 3, 219 patients (59.5%) were included in category 4 and 105 patients (28,8 %) were included in category 5. There was observed a significant association between BI-RADS category classification with malignant breast lesions (p < 0.05). It is concluded that there is a significant association between findings in BI-RADS classification and the results of definitive biopsies in patients with breast pathology.

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OBJECTIVE: To evaluate the differences in sonographic (US) distance and volume measurements from different sonologists and identify the optimal parameters to avoid clinically relevant variations in the measurement of BI-RADS 3 breast masses. METHODS: For this cross-sectional study with prospectively collected data, four physicians with various levels of experience in US, herein called sonologists, performed distance and volume US measurements of 80 masses classified as BI-RADS 3. The Cochran Q test was used to compare the matched sets of rates of clinically relevant variability between all pairs of sonologists' measurements. RESULTS: There were clinically relevant differences between sonologists in the measurements of the longest diameter (range, 17.5-43.7%, p = 0.003), the longest diameter perpendicular to the previous one (anteroposterior diameter) (17.5-33.7%, p = 0.06), the third diameter orthogonal to the plane defined by the previous two (transverse diameter) (28.7-55%, p = 0.001), and at least two of those three diameters (18.7-38.7%, p = 0.015). The smallest clinically relevant differences were observed with volume measurements (range of differences, 6.2-13.7%, p = 0.51). CONCLUSIONS: Volume measurement technique was associated with the least variations, whereas distance measurements, which are used routinely, were associated with unacceptable rates of clinically relevant variations. © 2016 Wiley Periodicals, Inc. J Clin Ultrasound 45:252-260, 2017.

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Abstract Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of breast cancer, in medical practice, the breast density classification is merely visual and dependent on professional experience, making this task very subjective. The purpose of this paper is to investigate image features based on histograms and Haralick texture descriptors so as to separate mammographic images into categories of breast density using an Artificial Neural Network. Methods We used 307 mammographic images from the INbreast digital database, extracting histogram features and texture descriptors of all mammograms and selecting them with the K-means technique. Then, these groups of selected features were used as inputs of an Artificial Neural Network to classify the images automatically into the four categories reported by radiologists. Results An average accuracy of 92.9% was obtained in a few tests using only some of the Haralick texture descriptors. Also, the accuracy rate increased to 98.95% when texture descriptors were mixed with some features based on a histogram. Conclusion Texture descriptors have proven to be better than gray levels features at differentiating the breast densities in mammographic images. From this paper, it was possible to automate the feature selection and the classification with acceptable error rates since the extraction of the features is suitable to the characteristics of the images involving the problem.