Programa de control de calidad para optimizar dosis-calidad de imagen en un sistema de mamografía digital FFDM con DBT / Quality control program to optimize dose-image quality in a digital mammography system FFDM with DBT

El objetivo de este estudio fue establecer y mantener activo un programa de control de calidad semanal en un sistema de mamografía digital de campo completo (FFDM) con tomosíntesis digital de mama (DBT) para optimizar la relación dosis-calidad de imagen en el tamizaje mamográfico y en el diagnóstico de las patologías de la mama, así como determinar la sensibilidad y especificidad en el periodo 2019-2022. Las imágenes mamográficas fueron obtenidas con el maniquí del Colegio Americano de Radiología (ACR) como parte del programa de control de calidad y con el uso de un dosímetro se determinó la dosis glandular media (DGM). También se midieron otras variables que afectan calidad de imagen y dosis. La imagen optimizada tiene el potencial de reducir la tasa de mortalidad por cáncer de mama debido a que el cáncer de mama es un problema de salud pública en los países en vías de desarrollo. Los resultados generales en el periodo del estudio se ilustran con graficas e intervalos de confianza al 95% (IC, 95%), además los valores numéricos se expresan en términos del error estándar de la media con 95% de confianza. Para mamografía digital de campo completo (FFDM): mAs = 160 ± 3.74, kVp = 28, dosis glandular media (DGM) = 1.69 ± 0.02 mGy, razón señal-ruido (SNR) = 62.20 ± 0.67, razón contraste-ruido (CNR) = 12.16 ± 0.15 y para tomosíntesis digital de mama (DBT): mAs = 61.42 ± 1.14, kVp = 29, dosis glandular media (DGM) = 1.54 ± 0.01 mGy. Los valores de las diferentes variables fueron determinados de acuerdo a la metodología del fabricante (Hologic, 2011). Los valores de la sensibilidad y la especificidad fueron para mamografía digital de campo completo (FFDM) sensibilidad 91% y especificidad 94% y para tomosíntesis digital de mama (DBT) sensibilidad 94% y especificidad 97%. Los resultados de dosis y calidad de imagen en ambas modalidades mamografía digital de campo completo (FFDM) y tomosíntesis digital de mama (DBT) muestran que el programa de control de calidad se mantuvo operativo durante el estudio manteniendo una relación optimizada entre dosis y calidad de imagen

The objective of this study was to establish and maintain active a weekly quality control program in a full-field digital mammography (FFDM) system with digital breast tomosynthesis (DBT) to optimize the dose-image quality relationship in mammographic screening and in diagnosis of breast pathologies, as well as determining sensitivity and specificity in the period 2019-2022. Mammographic images were obtained with the American College of Radiology (ACR) phantom as part of the quality control program and the mean glandular dose (DGM) was determined with a dosimeter. Other variables that affect image quality and dose were also measured. Optimized imaging (image quality-dose) has the potential to reduce the breast cancer mortality rate because breast cancer is a public health problem in developing countries. The general results in the study period are illustrated with graphs and 95% confidence intervals (CI, 95%), in addition the numerical values are expressed in terms of the standard error of the mean with 95% confidence, For full field digital mammography (FFDM): mAs = 160.3 ± 3.74, kVp = 28, mean glandular dose (DGM) = 1.69 ± 0.02 mGy, signalto-noise ratio (SNR) = 62.20 ± 0.67, contrast-to-noise ratio (CNR) = 12.16 ± 0.15 and for tomosynthesis digital breast (DBT): mAs = 61.42 ± 1.14, kVp = 29, mean glandular dose (DGM) = 1.54 ± 0.01 mGy. The values of the different variables were determined according to the manufacturer's methodology. Mammography facility sensitivity and specificity values were determined using pathology results during the study. For FFDM mode they were sensitivity 91% and specificity 94% and for DBT mode they were sensitivity 94% and specificity 97%. The dose and image quality results in both full field digital mammography (FFDM) and digital breast tomosynthesis (DBT) modalities show that the quality control program remained operational during

Suspicious amorphous microcalcifications detected on full-field digital mammography: correlation with histopathology / Microcalcificações amorfas suspeitas detectadas na mamografia digital: correlação histológica

Abstract Objective: To evaluate suspicious amorphous calcifications diagnosed on full-field digital mammography (FFDM) and establish correlations with histopathology findings. Materials and Methods: This was a retrospective study of 78 suspicious amorphous calcifications (all classified as BI-RADS® 4) detected on FFDM. Vacuum-assisted breast biopsy (VABB) was performed. The histopathological classification of VABB core samples was as follows: pB2 (benign); pB3 (uncertain malignant potential); pB4 (suspicion of malignancy); and pB5 (malignant). Treatment was recommended for pB5 lesions. To rule out malignancy, surgical excision was recommended for pB3 and pB4 lesions. Patients not submitted to surgery were followed for at least 6 months. Results: Among the 78 amorphous calcifications evaluated, the histopathological analysis indicated that 8 (10.3%) were malignant/suspicious (6 classified as pB5 and 2 classified as pB4) and 36 (46.2%) were benign (classified as pB2). The remaining 34 lesions (43.6%) were classified as pB3: 33.3% were precursor lesions (atypical ductal hyperplasia, lobular neoplasia, or flat epithelial atypia) and 10.3% were high-risk lesions. For the pB3 lesions, the underestimation rate was zero. Conclusion: The diagnosis of precursor lesions (excluding atypical ductal hyperplasia, which can be pB4 depending on the severity and extent of the lesion) should not necessarily be considered indicative of underestimation of malignancy. Suspicious amorphous calcifications correlated more often with precursor lesions than with malignant lesions, at a ratio of 3:1.

Resumo Objetivo: Correlacionar o achado mamográfico de calcificações amorfas suspeitas diagnosticadas na mamografia digital com seus diagnósticos anatomopatológicos. Materiais e Métodos: Setenta e oito casos de calcificações amorfas suspeitas (todas classificadas como BI-RADS® 4) detectadas na mamografia digital e submetidas a biópsia percutânea assistida à vácuo foram retrospectivamente avaliados. A classificação anatomopatológica utilizada na biópsia foi: pB2 para lesão benigna, pB3 para lesão com potencial incerto de malignidade, pB4 para lesão suspeita, e pB5 para lesão considerada maligna. O tratamento foi recomendado para as lesões pB5, a exérese cirúrgica foi indicada para lesões pB3 e pB4, para descartar malignidade, e o seguimento evolutivo foi adotado para as demais pacientes. Resultados: A histologia demonstrou 8 (10,3%) casos malignos (6 lesões pB5 e 2 lesões pB4) e 36 (46,2%) casos benignos (pB2). As demais 34 (43,6%) lesões foram classificadas como pB3 (33,3% foram lesões precursoras - hiperplasia ductal atípica, neoplasia lobular ou atipia epitelial plana - e 10,3% foram lesões de alto risco). A taxa de subestimação das lesões pB3 foi zero. Conclusão: O diagnóstico de lesões precursoras (excluindo hiperplasia ductal atípica, que pode corresponder a lesão pB4 dependendo da severidade e extensão dos achados) na biópsia percutânea assistida à vácuo por calcificações amorfas suspeitas não necessariamente representa lesão subestimada. Calcificações amorfas suspeitas se associaram a lesões precursoras numa proporção de 3:1 em relação às lesões malignas.

QualIM®: software para treinamento na interpretação de imagens médicas digitais / QualIM®: a software for training in the reading of digital medical images", "_i": "en

OBJETIVO: Foi desenvolvido um software denominado QualIM® - Qualificação de Imagens Médicas para treinamento de profissionais na interpretação de exames digitais de mamografias utilizando ferramentas de manipulação de imagens, em monitores específicos, classificadas em BI-RADS®. MATERIAIS E MÉTODOS: O sistema, desenvolvido em Delphi 7, armazena as respostas da interpretação de imagens mamográficas durante o treinamento e compara aos dados inseridos denominados "padrão-ouro". O sistema contém imagens de computed radiography, direct radiography e digitalizadas. O software converte as imagens do computed radiography e direct radiography para o formato TIFF, mantendo as resoluções espacial e de contraste originais. Profissionais em treinamento manipulam o realce da imagem utilizando ferramentas de software (zoom, inversão, réguas digitais, outras). Dependendo da complexidade, são apresentadas até oito incidências mamográficas, seis imagens de ultra-som e duas de anatomopatológico. RESULTADOS: O treinamento iniciou em 2007 e atualmente faz parte do programa de residência em radiologia. O software compõe o texto, de forma automática, das informações inseridas pelo profissional, baseado nas categorias BI-RADS, e compara com a base de dados. CONCLUSÃO: O software QualIM é uma ferramenta digital de ensino que auxilia profissionais no reconhecimento de padrões visuais de uma imagem mamográfica, bem como na interpretação de exames mamográficos, utilizando a classificação BI-RADS.

OBJECTIVE: A software called QualIM® - Qualificação de Imagens Médicas was developed for training of practitioners in the interpretation of digital mammograms classified according to BI-RADS® categories, utilizing images manipulation tools on state-of-the-art displays. MATERIALS ANDMETHODS: A Delphi 7-based system stores data resulting from mammographic findings interpretation during the training, comparing them with a golden-standard data set. The database includes computed radiography, direct radiography and digitized images. The software converts computed radiography and direct radiography images into TIFF format, preserving their original spatial and contrast resolution. During the training, the images are manipulated with the aid of the software tools (zoom, inversion, digital rulers and others). Depending on the image complexity, up to eight mammographic views, six ultrasonography images and two anatomopathological images can be displayed. RESULTS: The training was initiated in 2007 and is currently included in the radiology residency program. Based on data entered by the practitioner, the software automatically generates a BI-RADS compliant text that is compared with a database. CONCLUSION: The QualIM software is a digital educational tool aimed at assisting practitioners in the recognition of visual patterns on mammographic images as well as in the interpretation of mammograms based on the BI-RADS classification.

Mamografía "full digital" directa o en campo completo: experiencia preliminar / Direct or full-field "full digital" mammography: preliminary experience

Análisis de la introducción de una nueva tecnología en Chile llamada "mamografía full digital o campo completo" para la detección precoz del cáncer de mama no palpable. Esta tecnología se ha desarrollado en Europa, Estados Unidos y en algunos países de Sud América. Se describen las ventajas de la mamografía full digital en la detección de microcalcificaciones comparada con la mamografía convencional. La mamografía digital en campo total permite que se visualice toda la glándula mamaria, desde la piel hasta la pared torácica (1, 2, 3). Entre julio del 2001 y julio del 2002 se estudiaron con mamografía full digital 3.176 pacientes. Se utilizó un mamógrafo digital de campo completo, General Electric Senographe 2000 D. Solo 48 casos disponían de una mamografía convencional reciente. En 10 de las 48 pacientes la mamografía digital detectó microcalcificaciones sospechosas, no visualizadas en mamografía convencional. Estos hallazgos modificaron en algunos casos la conducta de tratamiento en éstas pacientes (3-4).

Introduction of a new technology called "full field digital mammography" (FFDM) for the detection of non palpables breast cancers. The GE Senographe 2000 D is the world`s first all digital mammography system and is installed in Europe, USA and some countries of LatinAmerica. Description of the advantages of full field digital mammography in comparison to conventional Film-Screen Mammography. (FSM) in the study and detection of microcalcifications. Full field digital mammography gives better visibility of the breast, particularly near the skin line , the chest wall and in women with dense breast tissue. Between july 2001 and july 2002, 3.176 patients were studied with full digital mammography with a GE Senographe 2000 D. Only 48 cases had a recently conventional mammography and in 10 of the 48 cases the full digital mammography detected suspicious microcalcifications not seen in conventional mammography. This results changed the patient treatment in some cases.