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Benign classification

Furthermore, much interest has evolved regarding the role of K5/K14 in breast pathology in several aspects, especially in the classification of benign proliferative lesions and ductal and obular in situ neoplasia (Otterbach et al. 2000). A typical example of a benign epithelial proliferation is shown in Fig. 13.7. [Pg.119]

The division between benign and malignant is useful but too simple. To be a little more precise, we can add the classification of dysplastic tissue. Dysplastic cells are not yet fully malignant but are on their way to getting there. Finally, the term neoplastic is frequently used to describe malignant cells or tumors. So we have the sequence normal, benign, dysplastic, malignant (neoplastic). [Pg.333]

Wanless, I.R. Micronodular transformation (nodular regenerative hyperplasia) of the hver a report of 64 cases among 2500 autopsies and a new classification of benign hepatocellular nodules. Hepatology 1990 11 787-797... [Pg.262]

Differential diagnosis of circular hepatic foci helps to decide whether therapeutic measures are necessary, not required, or not feasible. The histological classification of benign coin-like hepatic lesions differentiates between (7.) hepatocellular tumours, (2.) cholangiocellular tumours, (i.) mesenchymal tumours, and (4.) tumour-like lesions. There may also be evidence of (J.) calcareous foci. (4, 7, 12, 15) (s. tab. 36.2)... [Pg.752]

Tab. 36.2 Histological classification of benign hepatic coin lesions... Tab. 36.2 Histological classification of benign hepatic coin lesions...
R. L. Somorjai, R. Bourne, A. E. Nikulin, B. Dolenko, P. Russell and C. E. Mountford, Classification and regression analyses of known mixtures of cancer and benign tissue in prostate biopsies, Proceedings in International Society of Magnetic Resonance in Medicine, 2002. [Pg.112]

Nonetheless, microwave-assisted solvent-free conditions have wide applications in industrial processes and enable classification of microwave chemistry as an environmentally benign method, or green chemistry [3e-g, 28, 32). [Pg.527]

Wei LY, Yang YY, Nishikawa RM,et al (2005) A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Trans Med Imag 24 371-380... [Pg.106]

Detection of Subtle Microcalcifications 180 Classification of Benign and Malignant Breast Calcifications 181... [Pg.175]


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See also in sourсe #XX -- [ Pg.752 ]




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Benign

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