Análisis del valor predictivo positivo de las subcategorías BI-RADS ®4: resultados preliminares en 880 lesiones / Analysis of the positive predictive value of the subcategories of BI-RADS ® 4 lesions: preliminary results in 880 lesions

Objetivos. Las subcategorías BI-RADS®4A/B/C comprenden amplios rangos de valores predictivos positivos (VPP) y no se ha definido su correlación con descriptores específicos. Nuestro objetivo es analizar el VPP de las subcategorías y los descriptores asignados a ellas en lesiones mamográficas y ecográficas. Material y método. Analizamos 880 lesiones confirmadas histológicamente y subclasificadas prospectivamente como BI-RADS®4A/B/C entre 2003-2010. El estudio estadístico incluyó pruebas de significación, tablas de contingencia y estudio de riesgos relativos (RR) sobre 545 lesiones mamográficas y 627 ecográficas. Resultados. Los VPP por subcategoría fueron 8,8%-4A, 18,9%-4B y 58,3%-4C. La correlación entre VPP y lesiones fue la esperada, excepto: VPP 4A>4B en nódulos ecográficos irregulares/márgenes no circunscritos y microcalcificaciones con distribución segmentaria, asignación de BI-RADS®4 a lesiones BI-RADS®3 y consideración de lesiones idénticas en distintas subcategorías. En el estudio por tablas de contingencia, las lesiones mamográficas estuvieron en rangos de 4B/C y las ecográficas en 4B. Los RR fueron significativos en nódulos mamográficos para morfología irregular (RR=3,205) y márgenes espiculados (RR=2,469), y para microcalcificaciones pleomórficas (RR=2,531), amorfas (RR=0,334) y distribución segmentaria (RR=1,895). En la ecografía, los RR fueron significativos en todos los descriptores, con valores mayores de uno en morfología irregular (RR=1,977) y márgenes no circunscritos (RR=2,277). Conclusiones. Nuestros resultados concuerdan con los publicados. Las excepciones encontradas pueden justificarse por aspectos relacionados con la variabilidad y factores no radiológicos con posible influencia en la categorización y VPP. Es necesario elaborar modelos matemáticos que permitan la categorización objetiva e incluyan factores no relacionados con la imagen(AU)

Objectives. The positive predictive values (PPV) of the subcategories of BI-RADS® 4 lesions (A/B/C) vary widely, and their correlation with specific descriptors has yet to be defined. We aimed to analyze the PPV of the subcategories and of the mammographic and ultrasonographic descriptors assigned to each. Material and methods. We analyzed 880 histologically confirmed lesions prospectively classified as BI-RADS® 4 A/B/C between 2003 and 2010. The statistical analysis included significance tests, contingency tables, and relative risk (RR) ratios, calculated for 545 mammographic lesions and 627 ultrasonographic lesions. Results. The PPV was 8.8% for subcategory 4A, 18.9% for subcategory 4B, and 58.3% for subcategory 4C. The correlation between PPV and lesions was what we expected, with three exceptions: a) the PPV of 4A was greater than that of 4B in nodules that were irregular or had uncircumscribed margins on ultrasonography and in microcalcifications with segmental distribution on mammography, b) BI-RADS® 3 lesions classified as BI-RADS® 4, and c) identical lesions classified in distinct subcategories. In the contingency table analysis, the mammographic lesions were 4B/C and the ultrasonographic lesions were 4B. On mammography, the RR was significant for nodules with irregular shape (RR=3.205) and for those with spiculated margins (RR=2.469), as well as for microcalcifications that were pleomorphic (RR=2.531) or amorphous (RR=0.334), and for those with segmental (RR=1.895). On ultrasonography, the RR were significant for all the descriptors, with values greater than 1 for irregular shape (RR=1.977) and uncircumscribed margins (RR=2.277). Conclusions. Our results corroborate previous reports. The exceptions can be explained by aspects related to variability and nonradiological factors that might influence the classification and PPV. Mathematical models should be developed to enable the objective classification and these should include factors not related to imaging(AU)

[Analysis of the positive predictive value of the subcategories of BI-RADS(®) 4 lesions: preliminary results in 880 lesions]. / Análisis del valor predictivo positivo de las subcategorías BI-RADS(®)4: resultados preliminares en 880 lesiones.

OBJECTIVES: The positive predictive values (PPV) of the subcategories of BI-RADS(®) 4 lesions (A/B/C) vary widely, and their correlation with specific descriptors has yet to be defined. We aimed to analyze the PPV of the subcategories and of the mammographic and ultrasonographic descriptors assigned to each. MATERIAL AND METHODS: We analyzed 880 histologically confirmed lesions prospectively classified as BI-RADS(®) 4 A/B/C between 2003 and 2010. The statistical analysis included significance tests, contingency tables, and relative risk (RR) ratios, calculated for 545 mammographic lesions and 627 ultrasonographic lesions. RESULTS: The PPV was 8.8% for subcategory 4A, 18.9% for subcategory 4B, and 58.3% for subcategory 4C. The correlation between PPV and lesions was what we expected, with three exceptions: a) the PPV of 4A was greater than that of 4B in nodules that were irregular or had uncircumscribed margins on ultrasonography and in microcalcifications with segmental distribution on mammography, b) BI-RADS(®) 3 lesions classified as BI-RADS(®) 4, and c) identical lesions classified in distinct subcategories. In the contingency table analysis, the mammographic lesions were 4B/C and the ultrasonographic lesions were 4B. On mammography, the RR was significant for nodules with irregular shape (RR=3.205) and for those with spiculated margins (RR=2.469), as well as for microcalcifications that were pleomorphic (RR=2.531) or amorphous (RR=0.334), and for those with segmental (RR=1.895). On ultrasonography, the RR were significant for all the descriptors, with values greater than 1 for irregular shape (RR=1.977) and uncircumscribed margins (RR=2.277). CONCLUSIONS: Our results corroborate previous reports. The exceptions can be explained by aspects related to variability and nonradiological factors that might influence the classification and PPV. Mathematical models should be developed to enable the objective classification and these should include factors not related to imaging.

Sistemas de lectura asistida por ordenador en mamografía / Computer-assisted diagnosis in mammography

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Percutaneous microductectomy with a directional vacuum-assisted system guided by ultrasonography for the treatment of breast discharge: experience in 63 cases.

BACKGROUND: Vacuum-assisted devices are becoming a useful tool in the diagnosis and treatment of breast pathology. Recent publications show good results in percutaneous removal of benign lesions. PURPOSE: To discuss our experience in percutaneous excision of ductal lesions with a vacuum-assisted, ultrasound-guided directional system. MATERIAL AND METHODS: From January 2003 to July 2006, 63 patients with pathological nipple discharge and intraductal lesion identifiable on imaging were studied at two reference centers. Percutaneous excision with a vacuum-assisted device was offered as an alternative to surgery. RESULTS: A total of 71 lesions were diagnosed in 63 patients with a mean age of 52 years. All the patients presented nipple discharge. Mammography was normal in 65 cases (92%). Galactography showed an intraductal lesion in 67 cases (94%). Mean lesion size on ultrasonography was 7.4 mm (2-26 mm). Percutaneous excision was performed in 45 lesions (63%), while surgical excision was indicated in 26 lesions. The histopathological results in the 45 lesions biopsied demonstrated intraductal papilloma in 30 cases, dilated duct with papillomatous projections in 11, ductal ectasia with no papillary lesion in three, and a nonspecific benign result in one. Excision was considered complete in 41 lesions (91%). Clinical signs of discharge were resolved in 39 patients (95% of cases treated percutaneously). Mild complications occurred in four cases. CONCLUSION: Percutaneous excision of ductal lesions with an ultrasound-guided, vacuum-assisted device is a safe procedure with high diagnostic and therapeutic value for the management of breast discharge.

Análisis de los resultados clínicos y la carga asistencial del screening oportunista en una Unidad de Diagnóstico por la Imagen de la Mama / Analysis of the clinical results and the nursing workloads and costs of opportunist screening in a Breast Diagnostic Imaging Unit

El objetivo de este trabajo es analizar el impacto diagnóstico y la carga asistencial del screening oportunista (SO). Se analizó la actividad desarrollada entre 2003 y 2006. Se estudiaron 24.317 pacientes (9.487 remitidas como SO) y se realizaron44.269 mamografías en el Programa Poblacional. El SO supuso el 42% de la demanda, 39% de pacientes, 33,69% de estudios y 22,32% de costes. El coste/carcinoma fue 964 URVs, frente a 461,16 URVs en Programa y 195,64 URVs en sintomáticas. El SO supone un alto volumen de actividad y consumo de recursos. Es necesario reducir la carga asistencial promoviendo la participación en Programas e introduciendo estrategias de gestión para reducir costes (AU)

The objective of this work is to analyse the diagnostic impact and nursing workloads and costs of opportunist screening (OS). After analyzing the diagnostic impact and nursing workloads and costs of opportunist screening (OS). After analyzing the activity carried out between 2003 and 2006, a high volume of activity and consumption of resources is observed. It thus concludes that it is necessary to reduce the nursing workloads and costs encouraging the participation in Programmes and introducing management strategies to reduce costs (AU)