Literature DB >> 8255744

[Ultrasonographic diagnosis of breast diseases: a review of diagnostic criteria of sonomammography on a real-time scanner].

M Ishii1.   

Abstract

Fifteen sonomammographic findings of 341 histologically proved breast masses were reviewed to improve and objectify the current diagnostic criteria of sonomammography enacted by the Japan Society of Ultrasonics in Medicine. The author suggested revised diagnostic criteria and a method of evaluating benign or malignant breast masses on a real time scanner, especially an electronic linear scanner, and presented an original diagnostic concept based particularly on shape and internal echo. By examining sensitivity, specificity and accuracy, shape, border and internal echo were set up as major criteria, while boundary echo, posterior echo, DW ratio, transverse direction, anterior borderline and posterior borderline were set up as minor criteria. If two or more major criteria or one major and two or more minor criteria are found, the breast mass is diagnosed as malignant, whereas if one major and one or no minor criteria, or only three or fewer minor criteria are recognized, the mass is diagnosed as benign. This diagnostic approach demonstrated a sensitivity of 93.2%, specificity of 85.9%, and accuracy of 89.7%, which were superior to current diagnostic criteria for the differential diagnosis of breast masses.

Entities:  

Mesh:

Year:  1993        PMID: 8255744

Source DB:  PubMed          Journal:  Nihon Igaku Hoshasen Gakkai Zasshi        ISSN: 0048-0428


  2 in total

1.  Ultrasonography methods for predicting malignancy in canine mammary tumors.

Authors:  Marcus Antonio Rossi Feliciano; Ricardo Andrés Ramirez Uscategui; Marjury Cristina Maronezi; Ana Paula Rodrigues Simões; Priscila Silva; Beatriz Gasser; Leticia Pavan; Cibele Figueira Carvalho; Júlio Carlos Canola; Wilter Ricardo Russiano Vicente
Journal:  PLoS One       Date:  2017-05-22       Impact factor: 3.240

2.  Ultrasonographic evaluation of depth-width ratio (D/W) of benign and malignant mammary tumors in dogs.

Authors:  Michihito Tagawa; Eiichi Kanai; Genya Shimbo; Mikiya Kano; Hideki Kayanuma
Journal:  J Vet Med Sci       Date:  2015-11-21       Impact factor: 1.267

  2 in total

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