Literature DB >> 9357707

Expressiveness of the Breast Imaging Reporting and Database System (BI-RADS).

J Starren1, S M Johnson.   

Abstract

The Breast Imaging Reporting and Database System (BI-RADS) was developed by the American College of Radiology and is used by a number of computerized mammography tracking systems. The ability of BI-RADS to encode the data contained in 300 mammography reports at the Columbia-Presbyterian Medical Center was examined. BI-RADS was able to encode normal reports and "special masses" (such as lymph nodes) without difficulty. However, none of the general masses and only 17% of the calcifications could be encoded in BI-RADS. The implications of this for the design of mammography databases are discussed.

Mesh:

Year:  1997        PMID: 9357707      PMCID: PMC2233385     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  10 in total

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Journal:  Radiol Clin North Am       Date:  1992-01       Impact factor: 2.303

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Journal:  Radiol Clin North Am       Date:  1987-09       Impact factor: 2.303

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Authors:  E A Sickles
Journal:  Radiol Clin North Am       Date:  1987-09       Impact factor: 2.303

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Authors:  D A Evans; J J Cimino; W R Hersh; S M Huff; D S Bell
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

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Journal:  J Am Med Inform Assoc       Date:  1995 Nov-Dec       Impact factor: 4.497

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Authors:  P Skaane; E Amlie
Journal:  Eur J Radiol       Date:  1993-06       Impact factor: 3.528

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Authors:  M S Frank
Journal:  AJR Am J Roentgenol       Date:  1993-08       Impact factor: 3.959

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Authors:  K Kuhn; T Zemmler; M Reichert; C Heinlein; D Roesner
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

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Authors:  P D Clayton; D B Ostler; J L Gennaro; S S Beatty; P R Frederick
Journal:  Comput Biomed Res       Date:  1980-06

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Authors:  D S Bell; R A Greenes
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994
  10 in total
  5 in total

1.  A method for vocabulary development and visualization based on medical language processing and XML.

Authors:  H Liu; C Friedman
Journal:  Proc AMIA Symp       Date:  2000

2.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Authors:  Bethany Percha; Houssam Nassif; Jafi Lipson; Elizabeth Burnside; Daniel Rubin
Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

3.  Creating and curating a terminology for radiology: ontology modeling and analysis.

Authors:  Daniel L Rubin
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

4.  An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms.

Authors:  Min Dong; Xiangyu Lu; Yide Ma; Yanan Guo; Yurun Ma; Keju Wang
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

5.  The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses.

Authors:  Wen Guo; Xiuhe Zou; Hanyue Xu; Tao Zhang; Yunuo Zhao; Lu Gao; Wenyue Duan; Xuelei Ma; Ling Zhang
Journal:  Ann Transl Med       Date:  2021-03
  5 in total

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