Sonography of the breast

Jackson, Valerie P.; Reynolds, Handel E.; Hawes, Donald R.

doi:10.1016/s0887-2171(96)90031-1

Cited by 57 publications

(30 citation statements)

References 75 publications

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“…With recent improvements in ultrasonographic technology, including the use of all-digital high-frequency transducers up to 13 MHz and the use of color and power Doppler and harmonic imaging, sonography has become a standard breast imaging procedure [1][2][3][4][5][6][7]. In addition, these improvements have allowed expansion of the indications for use of breast ultrasound (US), including tumor differentiation, preoperative staging, follow-up after cancer treatment, and interventional diagnosis [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Logistic Regression Analysis and an Artificial Neural Network Using the BI-RADS Lexicon for Ultrasonography in Conjunction with Introbserver Variability

et al. 2012

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To determine which Breast Imaging Reporting and Data System (BI-RADS) descriptors for ultrasound are predictors for breast cancer using logistic regression (LR) analysis in conjunction with interobserver variability between breast radiologists, and to compare the performance of artificial neural network (ANN) and LR models in differentiation of benign and malignant breast masses. Five breast radiologists retrospectively reviewed 140 breast masses and described each lesion using BI-RADS lexicon and categorized final assessments. Interobserver agreements between the observers were measured by kappa statistics. The radiologists' responses for BI-RADS were pooled. The data were divided randomly into train (n070) and test sets (n0 70). Using train set, optimal independent variables were determined by using LR analysis with forward stepwise selection. The LR and ANN models were constructed with the optimal independent variables and the biopsy results as dependent variable. Performances of the models and radiologists were evaluated on the test set using receiver-operating characteristic (ROC) analysis. Among BI-RADS descriptors, margin and boundary were determined as the predictors according to stepwise LR showing moderate interobserver agreement. Area under the ROC curves (AUC) for both of LR and ANN were 0.87 (95% CI, 0.77-0.94). AUCs for the five radiologists ranged 0.79-0.91. There was no significant difference in AUC values among the LR, ANN, and radiologists (p>0.05). Margin and boundary were found as statistically significant predictors with good interobserver agreement. Use of the LR and ANN showed similar performance to that of the radiologists for differentiation of benign and malignant breast masses.

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Section: Introductionmentioning

confidence: 99%

A Comparison of Logistic Regression Analysis and an Artificial Neural Network Using the BI-RADS Lexicon for Ultrasonography in Conjunction with Introbserver Variability

et al. 2012

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“…Some fibroadenomas, however, have shown a t y p i c a l s o n o g r a p h i c findings such as an ill-defined margin, irregular appearance, heterogeneous internal echo-pattern or posterior shadowing (2,8). It is quite common for fibroadenomas to demonstrate atypical sonographic findings suggestive of malignancy (3,4,9). The most common surgically removed benign solid lesion is a fibroadenoma (10,11), accounting for 35.3% of all biopsies performed to remove an occult mass (12).…”

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Atypical Sonographic Patterns of Fibroadenoma of the Breast: Pathologic Correlation

Kook

Kim

Pae

1999

J Korean Radiol Soc

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“…anos, reduzindo o uso da mamografia nestas mulheres, que apresentam mamas mais sensíveis à radiação ionizante, além de a sensibilidade diagnóstica ser menor devido a maior frequência de mamas radiograficamente densas nesta faixa etária (JACKSON et al, 1996). Neste critério, também o ultra-som é útil em pacientes com nódulos palpáveis, não identificados, ou parcialmente definidos, na mamografia (SKAANE, 1999).…”

Section: Principais Indicações -Controvérsiasunclassified

“…Permite a realização de procedimentos em tempo real, mais rápidos e confortáveis para a paciente, sem utilizar a radiação ionizante (JACKSON et al, 1996). A ultra-sonografia pode orientar aspirações de cistos e coleções, punções aspirativas por agulha fina, biópsias de fragmentos, biópsias assistidas a vácuo e agulhamento pré-operatório.…”

Section: Principais Indicações -Controvérsiasunclassified

“…Isso propiciou uma significativa melhora da resolução espacial e contraste dos equipamentos de ultra-sonografia (BAKER; SOO, 2000), estimulando a reavaliação desse método no diagnóstico, conduta e tratamento das doenças mamárias. Atualmente, a ultra-sonografia é o mais importante método adjunto da mamografia (JACKSON et al, 1996;SKAANE, 1999; BASSET; KIMIE-SMITH, 2001), apresentando rápido aumento no uso,…”

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Ultra-sonografia mamária na identificação e orientação de biópsia percutânea das microcalcificações agrupadas

Castro¹

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Sonography of the breast

Cited by 57 publications

References 75 publications

A Comparison of Logistic Regression Analysis and an Artificial Neural Network Using the BI-RADS Lexicon for Ultrasonography in Conjunction with Introbserver Variability

A Comparison of Logistic Regression Analysis and an Artificial Neural Network Using the BI-RADS Lexicon for Ultrasonography in Conjunction with Introbserver Variability

Atypical Sonographic Patterns of Fibroadenoma of the Breast: Pathologic Correlation

Ultra-sonografia mamária na identificação e orientação de biópsia percutânea das microcalcificações agrupadas

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