Literature DB >> 21534017

Development of terminology for mammographic techniques for radiological technologists.

Ayako Yagahara1, Yuki Yokooka, Shintaro Tsuji, Naoki Nishimoto, Masahito Uesugi, Hiroshi Muto, Hisateru Ohba, Kunio Kurowarabi, Katsuhiko Ogasawara.   

Abstract

We are developing a mammographic ontology to share knowledge of the mammographic domain for radiologic technologists, with the aim of improving mammographic techniques. As a first step in constructing the ontology, we used mammography reference books to establish mammographic terminology for identifying currently available knowledge. This study proceeded in three steps: (1) determination of the domain and scope of the terminology, (2) lexical extraction, and (3) construction of hierarchical structures. We extracted terms mainly from three reference books and constructed the hierarchical structures manually. We compared features of the terms extracted from the three reference books. We constructed a terminology consisting of 440 subclasses grouped into 19 top-level classes: anatomic entity, image quality factor, findings, material, risk, breast, histological classification of breast tumors, role, foreign body, mammographic technique, physics, purpose of mammography examination, explanation of mammography examination, image development, abbreviation, quality control, equipment, interpretation, and evaluation of clinical imaging. The number of terms that occurred in the subclasses varied depending on which reference book was used. We developed a terminology of mammographic techniques for radiologic technologists consisting of 440 terms.

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Year:  2011        PMID: 21534017     DOI: 10.1007/s12194-011-0114-5

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  5 in total

1.  Elicitation and representation of expert knowledge for computer aided diagnosis in mammography.

Authors:  E Alberdi; P Taylor; R Lee
Journal:  Methods Inf Med       Date:  2004       Impact factor: 2.176

2.  RadLex: a new method for indexing online educational materials.

Authors:  Curtis P Langlotz
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

3.  INDIAM--an e-learning system for the interpretation of mammograms.

Authors:  Denise Guliato; Ricardo S Bôaventura; Marcelo A Maia; Rangaraj M Rangayyan; Mariângela S Simedo; Túlio A A Macedo
Journal:  J Digit Imaging       Date:  2008-04-19       Impact factor: 4.056

Review 4.  Screening for breast cancer.

Authors:  Joann G Elmore; Katrina Armstrong; Constance D Lehman; Suzanne W Fletcher
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

5.  Organised mammography screening reduces breast cancer mortality: a cohort study from Finland.

Authors:  Tytti Sarkeala; Sirpa Heinävaara; Ahti Anttila
Journal:  Int J Cancer       Date:  2008-02-01       Impact factor: 7.396

  5 in total

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