2001
DOI: 10.1016/s0899-7071(01)00287-x
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Internal echo histogram examination has a role in distinguishing malignant tumors from benign masses in the breast

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Cited by 6 publications
(4 citation statements)
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“…However, we do not confirm literature data indicating that grey-level histograms may be helpful in differentiation between benign and malignant lesions. (6). In our group of patients these differences were not statistically significant.…”
Section: Clinical Benefitcontrasting
confidence: 68%
“…However, we do not confirm literature data indicating that grey-level histograms may be helpful in differentiation between benign and malignant lesions. (6). In our group of patients these differences were not statistically significant.…”
Section: Clinical Benefitcontrasting
confidence: 68%
“…Although at least one study has reported that benign and malignant solid breast masses could be differentiated based on US alone (83), subsequent studies have not confirmed this hypothesis, and it is now generally believed that at the present time there are no US features that, by themselves, are sufficient evidence to forgo biopsy. Newer techniques being explored to improve the ability of US to differentiate benign and malignant masses include intensity histogram analysis (84) and disparity processing, in which the sonographer slightly varies the pressure of the probe on the breast surface, and the apparent displacement of the tissue is measured by analysis of the correlation between images obtained at different parts of this compression cycle (85). This measurement of the elastic properties of the lesion is similar to that employed in breast elastography (briefly described below).…”
Section: Breast Ultrasoundmentioning
confidence: 99%
“…For breast tumors, analysis of histograms based on reflected ultrasound may also have a role in distinguishing malignant tumors from benign masses. 10,11 Loren et al 12 reported that a computerassisted system for the analysis of lymph node metastasis in patients with esophageal carcinoma could increase the accuracy of EUS tumor staging. They assessed echogenicity, whole-node heterogeneity, and regional gray-scale variability.…”
mentioning
confidence: 99%