Literature DB >> 15856253

Applications and literature review of the BI-RADS classification.

S Obenauer1, K P Hermann, E Grabbe.   

Abstract

The Breast Imaging Reporting and Data System (BI-RADS) of the American College of Radiology (ACR) is a tool created to reduce variability in the terminology used in mammographic reports. An illustration of mammographic examples from our institution interpreted according to the BI-RADS lexicon of the American College of Radiology (ACR) is presented. A literature review concerning the usefulness and limitations of the BI-RADS lexicon is given.

Mesh：

Year:  2005        PMID： 15856253     DOI： 10.1007/s00330-004-2593-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN： 0938-7994            Impact factor:   5.315


  34 in total

1.  Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment.

Authors:  W A Berg; C Campassi; P Langenberg; M J Sexton
Journal:  AJR Am J Roentgenol       Date:  2000-06       Impact factor: 3.959

2.  [Differential diagnosis of benign and malignant mammary lesions with special regard to the BI-RADS((R)) classification system in mammography].

Authors:  T Boehm; E Garzoli; B Marincek
Journal:  Gynakol Geburtshilfliche Rundsch       Date:  2002

3.  Breast imaging reporting and data system (BI-RADS).

Authors:  Laura Liberman; Jennifer H Menell
Journal:  Radiol Clin North Am       Date:  2002-05       Impact factor: 2.303

4.  Evaluation of breast microcalcifications according to Breast Imaging Reporting and Data System criteria and Le Gal's classification.

Authors:  Meltem Gülsün; Figen Başaran Demirkazik; Macit Ariyürek
Journal:  Eur J Radiol       Date:  2003-09       Impact factor: 3.528

5.  The positive predictive value of the breast imaging reporting and data system (BI-RADS) as a method of quality assessment in breast imaging in a hospital population.

Authors:  Harmine M Zonderland; Thomas L Pope; Arend J Nieborg
Journal:  Eur Radiol       Date:  2004-07-09       Impact factor: 5.315

6.  Coding mammograms using the classification "probably benign finding--short interval follow-up suggested".

Authors:  L S Caplan; D Blackman; M Nadel; D L Monticciolo
Journal:  AJR Am J Roentgenol       Date:  1999-02       Impact factor: 3.959

7.  BI-RADS categorization as a predictor of malignancy.

Authors:  S G Orel; N Kay; C Reynolds; D C Sullivan
Journal:  Radiology       Date:  1999-06       Impact factor: 11.105

8.  Periodic mammographic follow-up of probably benign lesions: results in 3,184 consecutive cases.

Authors:  E A Sickles
Journal:  Radiology       Date:  1991-05       Impact factor: 11.105

9.  The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.

Authors:  L Liberman; A F Abramson; F B Squires; J R Glassman; E A Morris; D D Dershaw
Journal:  AJR Am J Roentgenol       Date:  1998-07       Impact factor: 3.959

10.  Revisiting the mammographic follow-up of BI-RADS category 3 lesions.

Authors:  Ximena Varas; José H Leborgne; Francisco Leborgne; Julieta Mezzera; Sylvia Jaumandreu; Felix Leborgne
Journal:  AJR Am J Roentgenol       Date:  2002-09       Impact factor: 3.959
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  31 in total

1.  Ultrasonographic findings of triple-negative breast cancer.

Authors:  Hai-Yan Du; Bao-Rong Lin; Du-Ping Huang
Journal:  Int J Clin Exp Med       Date:  2015-06-15

2.  Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.

Authors:  Mark Ruschin; Pontus Timberg; Magnus Båth; Bengt Hemdal; Tony Svahn; Rob S Saunders; Ehsan Samei; Ingvar Andersson; Soren Mattsson; Dev P Chakrabort; Anders Tingber
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

3.  Functional SNP in the microRNA-367 binding site in the 3'UTR of the calcium channel ryanodine receptor gene 3 (RYR3) affects breast cancer risk and calcification.

Authors:  Lina Zhang; Yuexin Liu; Fengju Song; Hong Zheng; Limei Hu; Hong Lu; Peifang Liu; Xishan Hao; Wei Zhang; Kexin Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-02       Impact factor: 11.205

4.  Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.

Authors:  Chris Meenan; Bradley Erickson; Nancy Knight; Jewel Fossett; Elizabeth Olsen; Prerna Mohod; Joseph Chen; Steve G Langer
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

Review 5.  [The future of radiology: What can we expect within the next 10 years?].

Authors:  F Nensa; M Forsting; A Wetter
Journal:  Urologe A       Date:  2016-03       Impact factor: 0.639

6.  Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Authors:  Ke Nie; Jeon-Hor Chen; Siwa Chan; Man-Kwun I Chau; Hon J Yu; Shadfar Bahri; Tiffany Tseng; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

7.  Clinical utility of dual-energy contrast-enhanced spectral mammography for breast microcalcifications without associated mass: a preliminary analysis.

Authors:  Yun-Chung Cheung; Hsiu-Pei Tsai; Yung-Feng Lo; Shir-Hwa Ueng; Pei-Chin Huang; Shin-Chih Chen
Journal:  Eur Radiol       Date:  2015-07-10       Impact factor: 5.315

8.  Histological analysis of benign breast imaging reporting and data system categories 4c and 5 breast lesions in imaging study.

Authors:  Min Jung Kim; Dokyung Kim; WooHee Jung; Ja Seung Koo
Journal:  Yonsei Med J       Date:  2012-11-01       Impact factor: 2.759

9.  Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

Authors:  Joana Diz; Goreti Marreiros; Alberto Freitas
Journal:  J Med Syst       Date:  2016-08-06       Impact factor: 4.460

10.  Boston Patient Navigation Research Program: the impact of navigation on time to diagnostic resolution after abnormal cancer screening.

Authors:  Tracy A Battaglia; Sharon M Bak; Timothy Heeren; Clara A Chen; Richard Kalish; Stephen Tringale; James O Taylor; Barbara Lottero; A Patrick Egan; Nisha Thakrar; Karen M Freund
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254
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