Search

[eng]Introduction: Intrammamary lymph nodes are mostly benign findings; however the value of these nodes is still controversial. Here we aimed to study the prevalence and clinical significance of intrammamary lymph nodes in 1000 patients undergoing routine screening mammography. Methods: We performed a cross sectional study on 1000 patients attending a radiology clinic for screening mammography. The intramammary lymph node was diagnosed using mammography and confirmed by ultrasound exam. Results: Of 1000 participants, 69 had intrammamary lymph node, with the mean age of 50.3±1.29. In those with intramammary lymph node, 32 (46.4%) had the first time screening, 3 (4.3%) had discharge, 20 (29%) had pain, 8 (11.6%) had palpable mass, 45 (65.2%) had axillary lymph node, 11 (15.9%) had histological distortion, 16 (23.2%) had micro-calcification and 9 (13%) had mass in mammography. The prevalence of intrammamary lymph nodes was highest in the 2nd breast quadrants, both in right and left breast. Discussion: This is an observation of the prevalence and clinical characteristics on intrammamary lymph nodes in an unselected patients attending for routine follow up. Future prospective studies may elucidate more findings of the value of these nodes., [spa] Introducción: Los ganglios linfáticos intramamarios son, en su mayoría, hallazgos benignos; sin embargo, el valor de estos ganglios sigue siendo controvertido. El objetivo de este trabajo es estudiar la prevalencia y la importancia clínica de los ganglios linfáticos intramamarios en 1.000 pacientes sometidas a una mamografía de cribado rutinaria. Métodos: Realizamos un estudio transversal en 1000 pacientes que acudieron a una clínica de radiología para realizar una mamografía de cribado. El ganglio linfático intramamario se diagnosticó mediante mamografía y se confirmó mediante ecografía. Resultados: De 1000 participantes, 69 tenían ganglio linfático intramamario, con una edad media de 50,3±1,29 años. De las que tenían ganglio linfático intramamario, 32 (46,4%) tenían la primera exploración, 3 (4,3%) tenían secreción, 20 (29%) tenían dolor, 8 (11,6%) tenían masa palpable, 45 (65,2%) tenían ganglio linfático axilar, 11 (15,9%) tenían distorsión histológica, 16 (23,2%) tenían microcalcificación y 9 (13%) tenían masa en la mamografía. La prevalencia de los ganglios linfáticos intramamarios fue mayor en los segundos cuadrantes mamarios, tanto en la mama derecha como en la izquierda. Discusión: Se trata de una observación de la prevalencia y las características clínicas de los ganglios linfáticos intramamarios en una paciente no seleccionada que acude a un seguimiento rutinario. Futuros estudios prospectivos podrán dilucidar más hallazgos sobre el valor de estos ganglios.

The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep COVID DeteCT (DCD), a deep learning convolutional neural network (CNN) that uses the entire chest CT volume to automatically predict COVID-19 (COVID+) from non-COVID-19 (COVID-) pneumonia and normal controls. We discuss training strategies and differences in performance across 13 international institutions and 8 countries. The inclusion of non-China sites in training significantly improved classification performance with area under the curve (AUCs) and accuracies above 0.8 on most test sites. Furthermore, using available follow-up scans, we investigate methods to track patient disease course and predict prognosis., Stanford Chemistry, Engineering and Medicine for Human Health (ChEM-H); RISE Program; Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI)

Background: Several studies on the diagnostic efficacy of MRI has not real consensus for the accuracy of MRI characteristics in non mass like breast lesions, and the number of malignant lesions in different studies is insufficient. Objectives: In this study we aimed to analyze the diagnostic role of MRI BIRADS features for diagnosis of malignancy in non mass like breast lesions. Patients and Methods: All patients with positive findings (BIRADS 3, 4, 5), which had either biopsy proved pathology or follow-up MRI data at least for 12 months were included in the study. Finally, 213 breasts MRI that showed non mass like enhancing lesions among our patients were assessed in study. One experienced breast radiologist who was unaware of any clinical information or the histopathologic diagnosis evaluated all images retrospectively. The morphologic parameters evaluated consisted of distribution modifiers and pattern of internal enhancement. The kinetic enhancement parameters were assessed as showing washout, plateau, or persistent patterns. In the enhancement kinetic analysis, thew most worrisome curve type in each lesion was considered for interpretation, if it was more than 2% enhancement. We have evaluated the visual findings by comparison of the signal intensity on the first and third dynamic series. Data for the study were extracted from the breast MRI database and analyzed using SPSS version 16 statistical software. Results: Totally 188 patients had 213 non mass like lesions. Mean age of the patients was 44.9 +/- 8.3 years (24-63). Totally 46 of lesions were malignant (21.6%). The most common BIRADS score was 4 (116; 54.5%). The most prevalent feature of distribution, internal enhancement and curve type were focal (59.2%), clumped (27.2%) and washout (34.3%). Distribution of different subgroups of MR BIRADS features was different among benign and malignant lesions (All Pvalues < 0.05). Regarding association with malignancy, odds ratio of lesions with segmental or ductal

Background: Several studies on the diagnostic efficacy of MRI has not real consensus for the accuracy of MRI characteristics in non mass like breast lesions, and the number of malignant lesions in different studies is insufficient. Objectives: In this study we aimed to analyze the diagnostic role of MRI BIRADS features for diagnosis of malignancy in non mass like breast lesions. Patients and Methods: All patients with positive findings (BIRADS 3, 4, 5), which had either biopsy proved pathology or follow-up MRI data at least for 12 months were included in the study. Finally, 213 breasts MRI that showed non mass like enhancing lesions among our patients were assessed in study. One experienced breast radiologist who was unaware of any clinical information or the histopathologic diagnosis evaluated all images retrospectively. The morphologic parameters evaluated consisted of distribution modifiers and pattern of internal enhancement. The kinetic enhancement parameters were assessed as showing washout, plateau, or persistent patterns. In the enhancement kinetic analysis, thew most worrisome curve type in each lesion was considered for interpretation, if it was more than 2% enhancement. We have evaluated the visual findings by comparison of the signal intensity on the first and third dynamic series. Data for the study were extracted from the breast MRI database and analyzed using SPSS version 16 statistical software. Results: Totally 188 patients had 213 non mass like lesions. Mean age of the patients was 44.9 +/- 8.3 years (24-63). Totally 46 of lesions were malignant (21.6%). The most common BIRADS score was 4 (116; 54.5%). The most prevalent feature of distribution, internal enhancement and curve type were focal (59.2%), clumped (27.2%) and washout (34.3%). Distribution of different subgroups of MR BIRADS features was different among benign and malignant lesions (All Pvalues < 0.05). Regarding association with malignancy, odds ratio of lesions with segmental or ductal