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1.
Rofo ; 169(3): 245-52, 1998 Sep.
Artigo em Alemão | MEDLINE | ID: mdl-9779063

RESUMO

PURPOSE: A prospective study on the differentiation of breast lesions was carried out using experimental combination schemes of mammography and automatic sonography. MATERIALS AND METHODS: X-ray mammograms and a B image from automatic sonography of 39 malignant and 41 benign lesions as well as 40 cases without lesions were separately examined by four experienced diagnosticians. The observers differentiated the findings mammographically and by measurement in the B images. RESULTS: For two examiners the combination of mammography and automatic sonography gave with regard to the differentiation of breast lesions an improvement in sensitivity of 3 or 5% and in specificity of 31 and 18%, respectively, as compared to mammography alone while for the other two examiners an improved specificity of 21 and 36%, respectively, was accompanied by an 8 and 10% decrease in sensitivity as compared to mammography alone. CONCLUSIONS: The differentiating criteria from automatic sonography and mammography can, in principle, be used to evaluate the dignity of breast lesions. However, an optimization is necessary since the improvement in specificity does not compensate the loss in sensitivity.


Assuntos
Neoplasias da Mama/diagnóstico por imagem , Carcinoma/diagnóstico por imagem , Mamografia/instrumentação , Ultrassonografia Mamária/instrumentação , Adulto , Idoso , Diagnóstico Diferencial , Feminino , Humanos , Mamografia/métodos , Mamografia/estatística & dados numéricos , Pessoa de Meia-Idade , Variações Dependentes do Observador , Estudos Prospectivos , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Ultrassonografia Mamária/métodos , Ultrassonografia Mamária/estatística & dados numéricos
2.
Ultraschall Med ; 19(6): 259-64, 1998 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-10028560

RESUMO

PURPOSE: Gray scale image assessment in clinical ultrasound requires working in dim light or a dark room. Daylight conditions offer the advantage of shorter visual reaction time and enhanced visual perception. Look-up table manipulations could improve image brightness. MATERIALS AND METHODS: We investigated the possibility of brightness and contrast enhancement of coloured adaptive linear look-up tables (CALUT's) and their artifact resistance. Therefore under real-time conditions red/brown, green and blue CALUT's were calculated using the gray scale distribution (mean and standard deviation) of the actual image. The changes in contrast of several structural features (echo-poor and echogenic lesions, artifacts) were assessed by clinical investigators (n = 7). RESULTS: The CALUT's produced, independent of the original, images with constant brightness and contrast. Even under daylight conditions no artifacts appeared. Under scotopic conditions the red/brown CALUT's showed the best results compared to the unchanged image and the gray, green, and blue CALUT's. Hyper and hypoechoic differences with small contrast to the surrounding tissue are enhanced and can be detected more easily. CONCLUSION: Daylight sonography allows examination even in non-darkened rooms without loss of information. Eye adaptation to changing light conditions is no longer necessary; the offered image information is more suitable for the eye.


Assuntos
Aumento da Imagem/instrumentação , Iluminação , Ultrassonografia/instrumentação , Algoritmos , Artefatos , Sensibilidades de Contraste , Humanos , Processamento de Imagem Assistida por Computador/instrumentação , Software
3.
Radiology ; 205(3): 823-30, 1997 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-9393543

RESUMO

PURPOSE: To evaluate clinically an automated ultrasound (US) system for detecting benign and malignant breast lesions. MATERIALS AND METHODS: A prototype automated US system was used to examine 119 patients: 38 patients with 39 proved malignant breast lesions (7-50 mm), 41 patients with 41 proved benign breast lesions (8-40 mm), and 40 patients without breast lesions. The device yields a three-dimensional set of B-mode scans and reconstructed US images comparable to mammograms. All patients had undergone mammography. Four radiologists who had not performed the examinations independently assessed the mammograms and US images to detect benign and malignant breast lesions. RESULTS: Each of the four readers did not recognize one to three detectable malignant lesions on mammograms, one to two detectable malignant lesions on US images, two to four detectable benign lesions on mammograms, and five to seven detectable benign lesions on US images. All readers identified the 39 cancers with at least one of the modalities. The 40 cases without lesions were diagnosed correctly more frequently on the US images by three readers and on the mammograms by one reader. CONCLUSION: Depiction of breast lesions at automated US is reproducible. Automated US is complementary to mammography.


Assuntos
Doenças Mamárias/diagnóstico por imagem , Neoplasias da Mama/diagnóstico por imagem , Ultrassonografia Mamária , Estudos de Casos e Controles , Feminino , Humanos , Processamento de Imagem Assistida por Computador , Pessoa de Meia-Idade , Estudos Prospectivos , Reprodutibilidade dos Testes , Ultrassonografia Mamária/instrumentação
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