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2.
Rev. méd. Urug ; 37(3): e37306, set. 2021. tab, graf
Article in Spanish | LILACS, BNUY | ID: biblio-1341554

ABSTRACT

Resumen: Introducción: se han producido múltiples avances tecnológicos en la historia de la mamografía. En los años más recientes surge la mamografía digital directa con tomosíntesis con mayores capacidades para detectar el cáncer. Objetivo: evaluar el efecto de la nueva tecnología en el desempeño de la mamografía, en la Unidad de Diagnóstico Mamario del Hospital Británico. Material y métodos: se compara el desempeño de la mamografía durante los años 2019-2020 en relación con los años 2010-2018. En el año 2019 se sustituyó la tecnología anterior por un mamógrafo digital directo con tomosíntesis, Hologic modelo Selenia Dimensions. Resultados: en los años 2019 a 2020 se realizaron 10.725 mamografías. Se detectaron 84 cánceres y la tasa de detección de cáncer fue de 8/1.000. El VPP fue de 35%. En los años 2010 a 2018 se realizaron 45.438 mamografías. Se detectaron 229 cánceres y la tasa de detección de cáncer fue de 5/1.000. EL VPP fue de 40%. En relación a las manifestaciones imagenológicas, se destaca el aumento de las microcalcificaciones en el período 2019-2020, que pasaron de ser 7% de los casos, a ser 19% de los casos. Las distorsiones aumentaron de 11% a 13%. En relación a los tipos histológicos de cáncer, se destaca el porcentaje del carcinoma ductal in situ (CDIS) que fue 4 veces superior en el período 2019-2020 en relación al anterior (17% de todos los casos detectados). Conclusiones: con la incorporación de la tomosíntesis aumentó 60% la tasa de detección de cáncer y el porcentaje de CDIS aumentó 4 veces.


Abstract: Introduction: significant technological progress has been made in the history of mammography. Recently, direct digital mammography plus tomosynthesis arrived and improved breast cancer screening. Objective: to evaluate the effects of new technology in the performance of mammography, at the Breast Diagnostic Service of the British Hospital. Method: mammography performance during 2019- 2020 was compared to that between 2010 and 2018. In 2019 the previous tehcnology was substituted by a direct digital mammogram with tomosynthesis, Hologic, Selenia Dimensions model. Results: 10.725 mammographies were done in 2019-2020. Cancer was detected in 84 cases and the cancer detection rate was 8 per 1000 persons. PPV was 35%. 45.438 mammographies were done in 2010-2018. Cancer was detected in 229 cases and the cancer detection rate was 5 per 1.000 persons. PPV was 40%. As to images, it is worth pointing out an increase in microcalcifications between 2019 and 2020, when they grew from 7% of cases to 19% of cases and distortions increased from 11% to 13%. DCIS was 4 times greater in 2019-2020 when compare to the previous period of time (17% of all detected cases). Conclusions: the integration of tomosynthesis increased 60% the cancer detection rate and the DCIS was 4 times greater.


Resumo: Introdução: a história da mamografia registra vários avanços tecnológicos. Nos anos mais recentes, a mamografia digital direta com tomossíntese surgiu com uma maior capacidade de detectar a presença de câncer. Em 2019 a Unidade de Diagnóstico de Mama (UDM) do Hospital Britânico no Uruguai, incorporou um mamógrafo digital direto com tomossíntese, Hologic modelo Selenia Dimensions. Objetivo: avaliar desempenho do mamógrafo digital direto com tomossíntese na UDM. Material e métodos: faz-se uma comparação dos resultados das mamografias durante dois períodos 2019-2020 e 2010-2018. Resultados: no período 2019 a 2020 foram realizadas 10.725 mamografias; 84 cânceres foram detectados com una taxa de detecção de 8/1000. O valor preditivo positivo (VPP) foi de 35%. No período 2010-2018, foram realizadas 45.438 mamografias, 229 cânceres foram detectados com una taxa de detecção de 5/1000. O VPP foi de 40%. Em relação às manifestações de imagem, destaca-se o aumento das microcalcificações no período 2019-2020, que passou de 7% para 19% dos casos. As distorções aumentaram de 11% para 13%. Em relação aos tipos histológicos de câncer, destaca-se a porcentagem de carcinoma ductal in situ (CDIS), que foi quatro vezes maior no período 2019-2020 do que no anterior (17% do total de casos detectados). Conclusões: com a incorporação da tomossíntese, a taxa de detecção de câncer aumentou 60% e a porcentagem de CDIS aumentou quatro vezes.


Subject(s)
Breast Neoplasms/diagnostic imaging , Mammography , Breast Neoplasms/prevention & control
3.
Rev. Assoc. Med. Bras. (1992) ; 67(8): 1167-1171, Aug. 2021. tab, graf
Article in English | LILACS | ID: biblio-1346968

ABSTRACT

SUMMARY OBJECTIVE To explore the values of automated breast volume scanning (ABVS) combined with shear wave elastography (SWE) in the differential diagnosis of triple-negative breast cancer (TNBC) and human epidermal growth factor receptor 2-positive breast cancers (HER2+BC). METHODS In this study, 28 patients with TNBC and 32 patients with HER2+BC were enrolled. The characteristics of ABVS and virtual touch quantification (VTQ) in SWE of all patients were reviewed. The multivariate logistic regression analysis was carried out and the receiver operating characteristic curves of ABVS and ABVS+VTQ were drawn. RESULTS In ABVS imaging, the microcalcification, posterior echo, internal echo, shape, and edge had significant difference between TNBC and HER2+BC groups (p<0.05). The regular shape was the independent factor for TNBC (p=0.04, odds ratio [OR]=4.479), and the microcalcification in mass was the independent factor for HER2+BC (p=0.01, OR=2.997). In VTQ imaging, the shear wave velocity (SWV)max, SWVmin, and SWVmean in TNBC group were significantly lower than those in HER2+BC group (p<0.001). The sensitivity, specificity, and accuracy of ABVS+VTQ in diagnosing TNBC were higher than those of ABVS alone. CONCLUSIONS ABVS combined with SWE has certain advantages in differentiating TNBC from HER2+BC, which is helpful for the treatment planning and prognosis judgment.


Subject(s)
Humans , Female , Breast Neoplasms/diagnostic imaging , Elasticity Imaging Techniques , Triple Negative Breast Neoplasms/diagnostic imaging , Breast , ROC Curve , Receptor, ErbB-2
4.
Gac. méd. Méx ; 157(2): 174-180, mar.-abr. 2021. tab, graf
Article in Spanish | LILACS | ID: biblio-1279098

ABSTRACT

Resumen Introducción: Promover la detección de cáncer de mama (CaMa) en mujeres mediante mastografía es una estrategia viable para disminuir los diagnósticos en fases clínicamente avanzadas y la mortalidad. Objetivos: Describir los resultados reportados por estudios de mastografía en mujeres realizados a nivel nacional durante 2013-2017 y analizar la tendencia espaciotemporal de categorías BIRADS (Breast Imaging Reporting and Data System) sugestivas de malignidad por Estado. Método: Diseño analítico longitudinal que incluyó información sobre estudios de mastografía de mujeres según grupo de edad (< 40 e ≥ 40), valoradas en unidades de la Secretaría de Salud, México, durante 2013-2017. Se estimó la frecuencia de categorías según BIRADS, tasa estandarizada sugestiva de malignidad (categorías 4 y 5) en mujeres ≥ 40 años y se utilizó estadística espacial para analizar la tendencia por Estado. Resultados: Se analizaron 3,659,151 mastografías, el 98.5 % en mujeres ≥ 40 años. La tasa sugestiva de malignidad disminuyó de 38.3 (2013) a 31 (2017) por 100 mil mujeres ≥ 40 años; sin embargo, el riesgo de detección aumentó hasta 13 veces en diez Estados. Conclusiones: Aunque el riesgo de detección en categorías sugestivas de malignidad disminuyó a nivel nacional, algunos Estados requieren reforzar la aplicación de programas de detección del CaMa mediante mastografía e incrementar la participación de la población blanco.


Abstract Introduction: Promoting breast cancer (BC) detection in women by means of mammography is a viable strategy to reduce the number of diagnoses at clinically advanced stages and mortality. Objectives: To describe the results reported by mammography studies in women, carried out nationally during 2013-2017, and to analyze the spatiotemporal trend of Breast Imaging Reporting and Data System (BIRADS) categories suggestive of malignancy by State. Method: Longitudinal, analytical design that included information on mammography studies of women according to age group (< 40 and ≥ 40), evaluated in units of the Ministry of Health of Mexico during 2013-2017. The frequency of BIRADS categories and a standardized rate suggestive of malignancy (categories 4 and 5) were estimated in women aged ≥ 40 years, and spatial statistics were used to analyze the trend by State. Results: A total of 3,659,151 mammograms were analyzed, 98.5 % in women aged ≥ 40 years. The malignancy-suggestive rate decreased from 38.3 (2013) to 31 (2017) per 100,000 women aged ≥ 40 years; however, the risk of detection increased up to 13 times in ten States. Conclusions: Although the risk of detection in categories suggestive of malignancy decreased at the national level, some States need to reinforce the application of BC detection programs through mammography and increase the participation of the target population.


Subject(s)
Humans , Female , Adult , Middle Aged , Aged , Breast Neoplasms/diagnostic imaging , Mammography/statistics & numerical data , Spatio-Temporal Analysis , Patient Participation/statistics & numerical data , Breast Neoplasms/classification , Breast Neoplasms/epidemiology , Mammography/classification , Linear Models , Space-Time Clustering , Age Factors , Mexico/epidemiology
5.
Rev. bras. ginecol. obstet ; 43(3): 190-199, Mar. 2021. tab, graf
Article in English | LILACS | ID: biblio-1251302

ABSTRACT

Abstract Objective To compare hand-held breast ultrasound (HHBUS) and automated breast ultrasound (ABUS) as screening tool for cancer. Methods A cross-sectional study in patients with mammographically dense breasts was conducted, and both HHBUS and ABUS were performed. Hand-held breast ultrasound was acquired by radiologists and ABUS by mammography technicians and analyzed by breast radiologists. We evaluated the Breast Imaging Reporting and Data System (BI-RADS) classification of the exam and of the lesion, as well as the amount of time required to perform and read each exam. The statistical analysis employed was measures of central tendency and dispersion, frequencies, Student t test, and a univariate logistic regression, through the odds ratio and its respective 95% confidence interval, and with p<0.05 considered of statistical significance. Results Atotal of 440 patientswere evaluated. Regarding lesions,HHBUS detected 15 (7.7%) BI-RADS 2, 175 (89.3%) BI-RADS 3, and 6 (3%) BI-RADS 4, with 3 being confirmed by biopsy as invasive ductal carcinomas (IDCs), and 3 false-positives. Automated breast ultrasound identified 12 (12.9%) BI-RADS 2, 75 (80.7%) BI-RADS 3, and 6 (6.4%) BI-RADS 4, including 3 lesions detected by HHBUS and confirmed as IDCs, in addition to 1 invasive lobular carcinoma and 2 high-risk lesions not detected by HHBUS. The amount of time required for the radiologist to read the ABUS was statistically inferior compared with the time required to read the HHBUS (p<0.001). The overall concordance was 80.9%. A total of 219 lesions were detected, from those 70 lesions by both methods, 126 only by HHBUS (84.9% not suspicious by ABUS) and 23 only by ABUS. Conclusion Compared with HHBUS, ABUS allowed adequate sonographic study in supplemental screening for breast cancer in heterogeneously dense and extremely dense breasts.


Resumo Objetivo Comparar a ultrassonografia convencional das mamas (US) com a ultrassonografia automatizada das mamas (ABUS) no rastreio do câncer. Métodos Realizamos um estudo transversal com pacientes com mamas mamograficamente densas, sendo avaliadas pela US e pela ABUS. A US foi realizada por radiologistas e a ABUS por técnicos de mamografia e analisada por radiologistas especializados em mama. A classificação Breast Imaging Reporting and Data System (BIRADS) do exame e das lesões o tempo de leitura e de aquisição foram avaliados. A análise estatística foi realizada através de medidas de tendência central, dispersão e frequências, teste t de Student e regressão logística univariada, através do odds ratio, com intervalo de confiança de 95%, e com p<0,05 sendo considerado estatisticamente significante. Resultados Foram avaliadas 440 pacientes. Em relação às lesões, a US detectou 15 (7,7%) BI-RADS 2, 175 (89,3%) BI-RADS 3 e 6 (3%) BI-RADS 4, das quais 3 foram confirmadas, por biópsia, como carcinomas ductais invasivos e 3 falso-positivos. A ABUS identificou 12 (12,9%) BI-RADS 2, 75 (80,7%) BI-RADS 3 e 6 (6,4%) BI-RADS 4, incluindo 3 lesões detectadas pela US e confirmadas como carcinomas ductais invasivos, além de 1 carcinoma lobular invasivo e 2 lesões de alto risco não detectadas pela US. O tempo de leitura dos exames da ABUS foi estatisticamente inferior ao tempo do radiologista para realizar a US (p<0,001). A concordância foi de 80,9%. Um total de 219 lesões foram detectadas, das quais 70 por ambos os métodos, 126 observadas apenas pela US (84,9% não eram lesões suspeitas no ABUS) e 23 apenas pela ABUS. Conclusão Comparado à US, a ABUS permitiu adequado estudo complementar no rastreio do câncer de mamas heterogeneamente densas e extremamente densas.


Subject(s)
Humans , Female , Adult , Aged , Young Adult , Breast Neoplasms/diagnostic imaging , Ultrasonography, Mammary/instrumentation , Cross-Sectional Studies , Sensitivity and Specificity , Equipment Design , Middle Aged
7.
Montevideo; Universidad de la República (Uruguay). Hospital de Clínicas. Departamento Clínico de Imagenología; 2021. 47 p. ilus, tab.
Monography in Spanish | LILACS, BNUY, UY-BNMED | ID: biblio-1372879
8.
Einstein (Säo Paulo) ; 19: eAO6721, 2021. tab, graf
Article in English | LILACS | ID: biblio-1356208

ABSTRACT

ABSTRACT Objective To evaluate the impact of COVID-19 pandemic on breast cancer diagnosis in a breast imaging center. Methods This was a retrospective cohort study that included women submitted to breast exams and procedures in a private hospital in São Paulo, SP, Brazil, as from the period of most strict social isolation measures, in 2020 (separated in first period of social isolation, March 24 to June 21, 2020, and second period, June 22 to December 31, 2020), as compared to the same period in 2019. The number of exams, cancer detection rates, pathologic findings and risk factors were analyzed. Results A total of 32,144 patients were included in the study. Breast imaging exams and procedures decreased by 78.9% in the first period, and 2.7% in the second period, in 2020. By the end of 2020, the number of breast cancer lesions detected was just six cases less than in 2019, although the number of patients submitted to mammograms was 35% lower. Conclusion There was a drop in number of breast exams and cancer diagnoses in the first 90 days of the pandemic. The decrease in diagnosis of cancer was partially compensated in the second period, but the number of patients submitted to mammograms by the end of 2020 was lower, still considering a large number of patients with delayed exams.


RESUMO Objetivo Avaliar o impacto da pandemia da COVID-19 no diagnóstico de câncer de mama em um centro de imagem de mama. Métodos Estudo de coorte retrospectivo que incluiu mulheres submetidas a exames e procedimentos de mama em um hospital privado em São Paulo, SP, Brasil, no período de medidas mais rigorosas de isolamento social em 2020 (dividido em primeiro período, de 24 de março a 21 de junho de 2020, e em segundo período, de 22 de junho a 31 de dezembro de 2020), comparado com o mesmo período de 2019. Foram analisados o número de exames, as taxas de detecção de câncer, os achados patológicos e os fatores de risco. Resultados Foram incluídas 32.144 pacientes. Os exames e os procedimentos de imagem da mama em 2020 tiveram redução de 78,9% no primeiro período e 2,7% no segundo período. Ao final de 2020, foram diagnosticadas com câncer de mama seis pacientes a menos do que em 2019, embora o número de pacientes submetidas à mamografia tenha sido 35% menor. Conclusão Houve queda no número de exames de mama e de diagnósticos de câncer nos primeiros 90 dias da pandemia. A redução dos diagnósticos de câncer foi parcialmente compensada no segundo período, mas o número de pacientes submetidas a exames de mamografia até o final do ano foi menor, considerando ainda um grande número de pacientes com exames atrasados.


Subject(s)
Breast Neoplasms/epidemiology , Breast Neoplasms/diagnostic imaging , COVID-19 , Brazil/epidemiology , Retrospective Studies , Pandemics , SARS-CoV-2
9.
Rev. saúde pública (Online) ; 55: 8, 2021. tab, graf
Article in English | LILACS, BBO | ID: biblio-1252103

ABSTRACT

ABSTRACT OBJECTIVE: To report the decrease in breast imaging after covid-19 pandemic, obtaining the number of mammograms performed in 2019 and 2020. Additionally, to investigate if there was an increase in the proportion of women undergoing mammography for diagnostic purposes, with palpable lesions. METHOD: This is a cross-sectional study, based on the number of mammograms performed by the Brazilian public health services, provided by DATASUS, an open access database. Mammograms from private institutions were not included. This study compares the number of mammograms performed in 2019 and 2020, in women aged 50-69 years, stratified by month, in each federal state, and the presence of palpable lumps (physician-reported). RESULTS: In total, 1,948,471 mammograms were performed in 2019 and 1,126,688 in 2020, for the population studied. These values represent a 42% decline. Monthly, a significant decreased is observed after April 2020. The results varied slightly according to federal state; yet the entire country was affected. Rondônia was the most affected state, with 67% decline. The proportion of women presenting palpable lumps increased from 7.06% on average in 2019 to 7.94% in 2020 (OR = 1.135, 95%CI 1.125-1.145, p = 0,001). DISCUSSION: The number of mammograms performed in 2020 declined considerably. Out of the women who presented for mammogram, the proportion of palpable lumps was significantly higher in 2020. Considering the detection rate of digital mammography, the loss of 800,000 exams means 4,000 undiagnosed breast cancer cases, by the end of 2020.


Subject(s)
Humans , Female , Aged , Breast Neoplasms/epidemiology , Breast Neoplasms/diagnostic imaging , COVID-19 , Brazil/epidemiology , Mammography , Cross-Sectional Studies , Pandemics , SARS-CoV-2 , Middle Aged
10.
Article in Chinese | WPRIM | ID: wpr-887860

ABSTRACT

Triple-negative breast cancer is a complex type of breast cancer,the most common malignant tumor in women.Since the early image features of triple-negative breast cancer appear benign tumor with rapid growth,this cancer has progressed into the middle and late stages once diagnosed,which leads to high mortality.Therefore,the diagnosis of triple-negative breast cancer has always been a clinical difficulty.This article summarizes the role of ultrasound in the diagnosis and treatment of triple-negative breast cancer.The extracted multi-mode ultrasound features will facilitate the early detection of this cancer and improve the prognosis of these patients.


Subject(s)
Breast Neoplasms/diagnostic imaging , Diagnosis, Differential , Female , Humans , Triple Negative Breast Neoplasms/diagnostic imaging , Ultrasonography , Ultrasonography, Mammary
11.
Article in Chinese | WPRIM | ID: wpr-879274

ABSTRACT

In order to overcome the shortcomings of high false positive rate and poor generalization in the detection of microcalcification clusters regions, this paper proposes a method combining discriminative deep belief networks (DDBNs) to automatically and quickly locate the regions of microcalcification clusters in mammograms. Firstly, the breast region was extracted and enhanced, and the enhanced breast region was segmented to overlapped sub-blocks. Then the sub-block was subjected to wavelet filtering. After that, DDBNs model for breast sub-block feature extraction and classification was constructed, and the pre-trained DDBNs was converted to deep neural networks (DNN) using a softmax classifier, and the network is fine-tuned by back propagation. Finally, the undetected mammogram was inputted to complete the location of suspicious lesions. By experimentally verifying 105 mammograms with microcalcifications from the Digital Database for Screening Mammography (DDSM), the method obtained a true positive rate of 99.45% and a false positive rate of 1.89%, and it only took about 16 s to detect a 2 888 × 4 680 image. The experimental results showed that the algorithm of this paper effectively reduced the false positive rate while ensuring a high positive rate. The detection of calcification clusters was highly consistent with expert marks, which provides a new research idea for the automatic detection of microcalcification clusters area in mammograms.


Subject(s)
Algorithms , Breast Neoplasms/diagnostic imaging , Calcinosis/diagnostic imaging , Early Detection of Cancer , Humans , Mammography , Neural Networks, Computer
12.
Article in Chinese | WPRIM | ID: wpr-879246

ABSTRACT

Both feature representation and classifier performance are important factors that determine the performance of computer-aided diagnosis (CAD) systems. In order to improve the performance of ultrasound-based CAD for breast cancers, a novel multiple empirical kernel mapping (MEKM) exclusivity regularized machine (ERM) ensemble classifier algorithm based on self-paced learning (SPL) is proposed, which simultaneously promotes the performance of both feature representation and the classifier. The proposed algorithm first generates multiple groups of features by MEKM to enhance the ability of feature representation, which also work as the kernel transform in multiple support vector machines embedded in ERM. The SPL strategy is then adopted to adaptively select samples from easy to hard so as to gradually train the ERM classifier model with improved performance. This algorithm is verified on a B-mode ultrasound dataset and an elastography ultrasound dataset, respectively. The results show that the classification accuracy, sensitivity and specificity on B-mode ultrasound are (86.36±6.45)%, (88.15±7.12)%, and (84.52±9.38)%, respectively, and the classification accuracy, sensitivity and specificity on elastography ultrasound are (85.97±3.75)%, (85.93±6.09)%, and (86.03±5.88)%, respectively. It indicates that the proposed algorithm can effectively improve the performance of ultrasound-based CAD for breast cancers with the potential for application.


Subject(s)
Algorithms , Breast Neoplasms/diagnostic imaging , Computers , Diagnosis, Computer-Assisted , Humans , Support Vector Machine , Ultrasonography
13.
Article in Chinese | WPRIM | ID: wpr-878700

ABSTRACT

Objective To explore the value of elastography strain ratio(SR)combined with breast ultrasound imaging reporting and data system(BI-RADS-US)in the differential diagnosis of breast nodules.Methods A total of 471 breast nodules(from 471 patients)were reclassified by SR combined with BI-RADS-US.With the pathology results as gold standard,the area under the receiver operating characteristic(ROC)curve(AUC)was employed to evaluate the diagnostic performance,and the sensitivity,specificity,and accuracy were compared between the combined method and BI-RADS-US.Results Among the 471 breast nodules,180 nodules were benign and 291 were malignant.The AUC of the combined method was statistically significantly higher than that of BI-RADS-US(0.798 vs. 0.730;Z= 2.583, P= 0.010).SR,BI-RADS-US,and the combined method for diagnosing breast nodules had the sensitivity of 86.6%,99.0%,and 96.6%,the specificity of 67.2%,47.2%,and 63.3%,and the accuracy of 79.2%,79.2%,and 83.9%,respectively.The combined method increased the specificity from 47.2%(BI-RADS-US)to 63.3%(χ


Subject(s)
Breast/diagnostic imaging , Breast Neoplasms/diagnostic imaging , Diagnosis, Differential , Elasticity Imaging Techniques , Female , Humans , ROC Curve , Sensitivity and Specificity , Ultrasonography, Mammary
14.
Chinese Medical Journal ; (24): 415-424, 2021.
Article in English | WPRIM | ID: wpr-878071

ABSTRACT

BACKGROUND@#The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.@*METHODS@#Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.@*RESULTS@#The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).@*CONCLUSIONS@#The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.@*TRIAL REGISTRATION@#Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.


Subject(s)
Area Under Curve , Breast/diagnostic imaging , Breast Neoplasms/diagnostic imaging , China , Deep Learning , Humans , ROC Curve , Sensitivity and Specificity
15.
São Paulo; s.n; 2021. 43 p. tab.
Thesis in Portuguese | LILACS, Inca | ID: biblio-1348778

ABSTRACT

Os métodos de imagem são de fundamental importância para o manejo de pacientes com câncer de mama, especialmente no diagnóstico precoce de lesões mamárias não-palpáveis. Os principais exames de imagem utilizados neste contexto são a mamografia (MMG), ultrassonografia (US) e ressonância magnética (RM). Para as lesões classificadas como baixo, médio ou intermediário potencial de malignidade, métodos mais avançados como a RM têm permitido melhores resultados na especificidade para lesões malignas. O objetivo principal deste trabalho foi avaliar a taxa de malignidade e características de imagem das lesões mamárias classificadas na categoria BI-RADS® 4 pela RM, a fim de criar um modelo para subcategorizar estas lesões nas categorias 4A, 4B e 4C, de acordo com o risco de malignidade pelos critérios do Léxico BI-RADS®. Foi realizado um estudo observacional, com a avaliação das lesões mamárias com indicação de biópsia percutânea ou cirúrgica em exames de RM realizados no período de 2016 e 2017 no Departamento de Imagem do A.C.Camargo Cancer Center. Para avaliação da validade diagnóstica o resultado histológico foi considerado comopadrão-ouro e, nos casos negativos para malignidade, foi realizado acompanhamento por pelo menos 2 anos. Foram incluídas 166 pacientes com 199 lesões classificadas com BI-RADS®4. 14 (7,5%) não foram biopsiadas, porém apresentaram estabilidade por pelo menos 2 anos ou não se confirmaram em exames subsequentes, inferindo benignidade. Foram avaliadas por biópsia 185 lesões resultando em 140 (75,6%) lesões benignas e 45 (24,3%) lesões malignas. Apresentaram associação estatisticamente significativa com maior risco de malignidade na análise univariada: composição da mama, realce de fundo do parênquima, morfologia, margens e curva cinética (fases inicial e tardia) das lesões nodulares e na análise multivariada, para os realces nodulares apenas o realce de fundo do parênquima, as margens e a curva cinética (fase inicial) confirmaram significância estatística. Os VPP das classificações subjetiva e objetiva foram, respectivamente, para BI-RADS 4 A 0,0% e 4,3%, 4B 11,8% e 21,4% e 4C 62,2% e 78,9%. Nossos resultados afirmam que a subclassificação pode ajudar a diferenciar as lesões quanto a suspeição de malignidade e demonstrou ser viável, tanto através da avaliação subjetiva dos avaliadores, como através da avaliação objetiva utilizando o modelo desenvolvido a partir do valor preditivo positivo dos diferentes descritores utilizados.


Imaging methods are of fundamental importance for the management of patients with breast cancer, especially in the early diagnosis of non-palpable breast lesions. The main imaging tests used in this context are mammography (MMG), ultrasonography (US) and magnetic resonance imaging (MRI). For lesions classified as low, mild or intermediate malignancy potential, more advanced methods such as MRI have allowed better results in specificity for malignancy. The main objective of this study was to evaluate the malignancy rate and imaging characteristics of breast lesions classified in category BI-RADS® 4 by MRI, in order to create a model to subcategorize these lesions into categories 4A, 4B and 4C, according to the risk of malignancy by the criteria of the BI-RADS® Lexicon. An observational study was carried out, with the evaluation of breast lesions with indication for percutaneous or surgical biopsy in the MRI examination carried out in the period of 2016 and 2017 at the Imaging Department of the ACCamargo Cancer Center. To assess the diagnostic validity, the histological result was considered as the gold standard and in cases negative for malignancy, it was followed for at least 2 years. A total of 166 patients with 199 lesions classified as BI-RADS® 4 were included.14 (7.5%) were not biopsied but were stable for at least 2 years or were not confirmed in subsequent examinations, inferring benignity. 185 lesions were evaluated by biopsy resulting in 140 (75.6%) benign lesions and 45 (24.3%) malignant lesions. They presented a statistically significant association with higher risk of malignancy in the univariate analysis: breast composition, background parenchymal enhancement, morphology, margins and kinetic curve (early and late stages) of nodular lesions and in the multivariate analysis, for nodular enhancements only the enhancement of the parenchyma background, the margins and the kinetic curve (initial phase) confirmed statistical significance. The PPV of the subjective and objective classifications were, respectively, for BI-RADS 4A 0.0% and 4.3%, 4B 11.8% and 21.4% and 4C 62.2% and 78.9%. Our results affirm that the subclassification can help to differentiate the lesions as the suspicion of malignancy and it proved to be feasible, both through the subjective evaluation of the evaluators, as through the objective evaluation using the model developed from the positive predictive value of the different descriptors used.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Breast Neoplasms/diagnostic imaging , Magnetic Resonance Imaging , Survival Analysis
19.
Femina ; 48(11): 685-698, 20201130. tab
Article in Portuguese | LILACS | ID: biblio-1140186

ABSTRACT

O estudo averiguou se a literatura atual pode ajudar na orientação de sistemas e profissionais de saúde para a promoção de rastreamento personalizado centrado no perfil de risco das mulheres. Revisamos artigos publicados entre 2010 e 2015, indexados no banco de dados Medline. Os artigos foram selecionados com base em conteúdo tratando de métodos de rastreamento, diretrizes e fatores de risco levados em consideração no processo de tomada de decisão. Os descritores de busca foram câncer de mama, rastreamento, diretrizes e avaliação de qualidade. Os 40 artigos selecionados para leitura completa foram organizados em ordem cronológica segundo a data de publicação. Dos 40 artigos, 32 se referem a diretrizes nacionais ou internacionais já existentes sobre rastreamento do câncer de mama. Vários fatores de risco relevantes para estratégias de rastreamento, incluindo os modelos de avaliação de risco cumulativo, são considerados em todos os 40 artigos, sendo os mais comuns idade, histórico familiar e densidade do tecido da mama. Contudo, não há consenso explícito sobre se o rastreamento do câncer de mama deve ser visto como uma escolha da paciente ou se é um imperativo das políticas de saúde pública. As evidências sugerem que os sistemas de saúde e os médicos deveriam considerar a mudança do paradigma de rastreamento rotineiro de mulheres de 50 a 69 anos para o rastreamento personalizado do câncer de mama baseado em avaliação de risco nos países em que isso é factível.(AU)


The study ascertained whether the current literature may be helpful in guiding health systems and healthcare providers to promote personalized screening centered on women's risk profiles. We reviewed Medline database indexed articles published between 2010 and 2015, indexed in the Medline databased. Articles were selected based on their content dealing with screening methods, guidelines, and risk factors considered in the decision-making process. The descriptors used for the search were breast cancer, screening, guidelines, and quality assessment. The 40 articles selected for full text reading were organized in chronological order by date of publishing. Of the 40 articles, 32 refer to the existing national or international breast cancer screening guidelines. Various risk factors relevant to screening strategies, including the cumulative risk assessment models, are considered in all 40 articles, with the most common being age, family history, and breast tissue density. However, there is no explicit consensus on whether to view breast cancer screening as a patient choice or as an imperative of public health policies. The evidences suggest that health systems and physicians should consider switching from the routine screening paradigm for women aged 50-69 to personalized risk-assessment-based screening for breast cancer in countries where this is feasible. (AU)


Subject(s)
Humans , Female , Breast Neoplasms/diagnosis , Breast Neoplasms/diagnostic imaging , Delivery of Health Care/standards , Physical Examination , Mammography , Magnetic Resonance Spectroscopy , Genetic Testing , Risk Factors , Databases, Bibliographic , Ultrasonography , Breast Self-Examination , Practice Guidelines as Topic
20.
Rev. colomb. cancerol ; 24(3): 103-112, jul.-set. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1144329

ABSTRACT

Resumen Colombia tiene un riesgo intermedio a desarrollar cáncer de mama con una tasa de incidencia estandarizada por edad en de 44,1 por 100.000 mujeres. A pesar de que en el país se recomienda la tamización mediante mamografía, en mujeres de 50 a 69 años y examen clínico de mama anual, así como detección temprana para mujeres sintomáticas independientemente de la edad; en Colombia no se ha podido reducir la mortalidad por esta causa. Múltiples causas parecen explicar este problema: baja participación en las actividades de tamización con mamografía por parte de la población objeto; baja calidad de la mamografía, y barreras de acceso para el diagnóstico oportuno y el tratamiento integral. Frente a esta problemática el 3 de octubre fue aprobado en primer debate el proyecto de ley 259 de 2019 Cámara Proyecto de Ley "Por medio de la cual se establecen medidas para la prevención, diagnóstico, tratamiento oportuno, rehabilitación, y cuidados paliativos del cáncer de mama y se dictan otras disposiciones". A fin de revisar el soporte científico del contenido del proyecto de ley y aportar a su adecuada discusión, el Instituto Nacional de Cancerologia (INC) realizó un foro el 9 de diciembre de 2019. El propósito de este artículo es presentar el análisis de los puntos de mayor controversia desde una perspectiva científica, como base para la adecuada toma de decisiones en materia de políticas de salud pública.


Abstract Colombia ranks at an intermediate risk level regarding the development of breast cancer, with an age-standardized incidence rate of 44.1 per 100,000 women. Although mammography screening and annual Clinical Breast Examination for women aged 50 to 69 are recommended in Colombia, as well as early detection for symptomatic women regardless of age, mortality from this cause has not been reduced in Colombia. Multiple causes seem to explain this problem: low participation of the target population in mammography screening activities, poor quality of mammography, and access barriers for timely diagnosis and comprehensive treatment. In view of this problem, the House of Representatives approved in first debate last October 3 Bill No. 259 of 2019 "by means of which measures and other provisions for prevention, diagnosis, timely treatment, rehabilitation, and palliative care of breast cancer are set up". The Colombian National Cancer Institute INC, held a forum on December 9, 2019, aimed at reviewing the scientific support of the content of the bill and contribute to its proper discussion. The purpose of this paper is to present the analysis of the most controversial points from a scientific perspective, as a basis for appropriate decision-making in public health policy.


Subject(s)
Humans , Female , Adult , Middle Aged , Aged , Breast Neoplasms/therapy , Evidence-Informed Policy , Health Policy , Quality of Health Care , Breast Neoplasms/epidemiology , Breast Neoplasms/diagnostic imaging , Mammography , Mass Screening , Colombia/epidemiology
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