Literature DB >> 21502382

Use of BI-RADS 3-probably benign category in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial.

Janet K Baum1, Lucy G Hanna, Suddhasatta Acharyya, Mary C Mahoney, Emily F Conant, Lawrence W Bassett, Etta D Pisano.   

Abstract

PURPOSE: To determine (a) how often the Breast Imaging Reporting and Data System (BI-RADS) category 3 was used in the American College of Radiology Imaging Network (ACRIN) Digital Mammographic Imaging Screening Trial (DMIST), either at the time of screening mammography or after work-up, (b) how often subjects actually returned for the recommended follow-up examination, and (c) the rate and stages of any malignancies subsequently found in subjects for whom short-term interval follow-up was recommended.
MATERIALS AND METHODS: This study was approved by the Institutional Review Board at all institutions where subjects were enrolled. All subjects participating in DMIST gave informed consent and the study was HIPAA-compliant. A total of 47,599 DMIST-eligible and evaluable subjects, all of whom consented to undergo both digital and screen-film mammography, were included in this analysis. Cases referred for short-term interval follow-up based on digital, screen-film, or both imaging examinations were determined. Compliance with the recommendations and the final outcome (malignancy diagnosis at biopsy or no malignancy confirmed through follow-up) of each evaluable case were determined.
RESULTS: A total of 1114 of the 47,599 (2.34%) subjects had tumors assigned a BI-RADS 3 category and were recommended to undergo short-interval follow-up. In this study, 791 of 1114 (71%) of the subjects were compliant with the recommendation and returned for short-interval follow-up. Of the women who did not return for short-interval follow-up, 70% (226 of 323) did return for their next annual mammography. Among all subjects whose tumors were assigned a BI-RADS 3 category either at screening mammography or after additional work-up, nine of 1114 (0.81%) were found to have cancer. Of the nine biopsy-proved cancers, six were invasive cancers and three were ductal carcinoma in situ stage Tis-T1c. The invasive cancers were all less than 2 cm in size.
CONCLUSION: In DMIST, radiologists used the BI-RADS 3 classification infrequently (2.3% of patients). Tumors assigned a BI-RADS 3 category had a low rate of malignancy. The relatively high rate of noncompliance with short-interval follow-up recommendations (323 of 1114, or 29%) supports prior recommendations that radiologists thoroughly evaluate lesions before placing them in this category.

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Year:  2011        PMID: 21502382      PMCID: PMC3121012          DOI: 10.1148/radiol.11101285

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  20 in total

1.  Probably benign breast lesions: when should follow-up be recommended and what is the optimal follow-up protocol?

Authors:  E A Sickles
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  Reproducibility of mammographic classifications for non-palpable suspect lesions with microcalcifications.

Authors:  R M Pijnappel; P H M Peeters; J H C L Hendriks; W P Th M Mali
Journal:  Br J Radiol       Date:  2004-04       Impact factor: 3.039

3.  Diagnostic accuracy of digital versus film mammography: exploratory analysis of selected population subgroups in DMIST.

Authors:  Etta D Pisano; R Edward Hendrick; Martin J Yaffe; Janet K Baum; Suddhasatta Acharyya; Jean B Cormack; Lucy A Hanna; Emily F Conant; Laurie L Fajardo; Lawrence W Bassett; Carl J D'Orsi; Roberta A Jong; Murray Rebner; Anna N A Tosteson; Constantine A Gatsonis
Journal:  Radiology       Date:  2008-02       Impact factor: 11.105

4.  Accuracy of soft-copy digital mammography versus that of screen-film mammography according to digital manufacturer: ACRIN DMIST retrospective multireader study.

Authors:  R Edward Hendrick; Elodia B Cole; Etta D Pisano; Suddhasatta Acharyya; Helga Marques; Michael A Cohen; Roberta A Jong; Gordon E Mawdsley; Kalpana M Kanal; Carl J D'Orsi; Murray Rebner; Constantine Gatsonis
Journal:  Radiology       Date:  2008-04       Impact factor: 11.105

5.  Frequency and predictive value of a mammographic recommendation for short-interval follow-up.

Authors:  Shagufta Yasmeen; Patrick S Romano; Mary Pettinger; Rowan T Chlebowski; John A Robbins; Dorothy S Lane; Susan L Hendrix
Journal:  J Natl Cancer Inst       Date:  2003-03-19       Impact factor: 13.506

6.  The American College of Radiology's BI-RADS 3 Classification in a Nationwide Screening Program: current assessment and comparison with earlier use.

Authors:  Debra L Monticciolo; Lee S Caplan
Journal:  Breast J       Date:  2004 Mar-Apr       Impact factor: 2.431

7.  Mammographic follow-up of low-suspicion lesions: compliance rate and diagnostic yield.

Authors:  M A Helvie; D R Pennes; M Rebner; D D Adler
Journal:  Radiology       Date:  1991-01       Impact factor: 11.105

Review 8.  Mammographic features and correlation with biopsy findings using 11-gauge stereotactic vacuum-assisted breast biopsy (SVABB).

Authors:  A Mendez; F Cabanillas; M Echenique; K Malekshamran; I Perez; E Ramos
Journal:  Ann Oncol       Date:  2004-03       Impact factor: 32.976

9.  What factors are associated with diagnostic follow-up after abnormal mammograms? Findings from a U.S. National Survey.

Authors:  K Robin Yabroff; Nancy Breen; Sally W Vernon; Helen I Meissner; Andrew N Freedman; Rachel Ballard-Barbash
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-05       Impact factor: 4.254

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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  18 in total

1.  Can unenhanced breast MRI be used to decrease negative biopsy rates?

Authors:  Sibel Kul; Şükrü Oğuz; İlker Eyüboğlu; Özlem Kömürcüoğlu
Journal:  Diagn Interv Radiol       Date:  2015 Jul-Aug       Impact factor: 2.630

2.  Optimal Policies for Reducing Unnecessary Follow-up Mammography Exams in Breast Cancer Diagnosis.

Authors:  Oguzhan Alagoz; Jagpreet Chhatwal; Elizabeth S Burnside
Journal:  Decis Anal       Date:  2013-09

3.  BI-RADS Category 3 Is a Safe and Effective Alternative to Biopsy or Surgical Excision.

Authors:  Linda Moy
Journal:  Radiology       Date:  2020-05-19       Impact factor: 11.105

4.  Performance of Dual-Energy Contrast-enhanced Digital Mammography for Screening Women at Increased Risk of Breast Cancer.

Authors:  Janice S Sung; Lizza Lebron; Delia Keating; Donna D'Alessio; Christopher E Comstock; Carol H Lee; Malcolm C Pike; Miranda Ayhan; Chaya S Moskowitz; Elizabeth A Morris; Maxine S Jochelson
Journal:  Radiology       Date:  2019-08-27       Impact factor: 11.105

5.  Value of BI-RADS 3 Audits.

Authors:  Prithwijit Roychowdhury; Gopal R Vijayaraghavan; John Roubil; Imani M Williams; Efaza Siddiqui; Srinivasan Vedantham
Journal:  Biomed J Sci Tech Res       Date:  2022-02-14

6.  Breast cancer risk prediction and mammography biopsy decisions: a model-based study.

Authors:  Katrina Armstrong; Elizabeth A Handorf; Jinbo Chen; Mirar N Bristol Demeter
Journal:  Am J Prev Med       Date:  2013-01       Impact factor: 5.043

7.  Role of magnetic resonance imaging in probably benign (BI-RADS category 3) microcalcifications of the breast.

Authors:  Anna Linda; Chiara Zuiani; Viviana Londero; Eleonora Di Gaetano; Anna Dal Col; Rossano Girometti; Massimo Bazzocchi
Journal:  Radiol Med       Date:  2013-12-03       Impact factor: 3.469

8.  Probably benign lesions at screening breast US in a population with elevated risk: prevalence and rate of malignancy in the ACRIN 6666 trial.

Authors:  Richard G Barr; Zheng Zhang; Jean B Cormack; Ellen B Mendelson; Wendie A Berg
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

9.  A history of breast cancer and older age allow risk stratification of mammographic BI-RADS 3 ratings in the diagnostic setting.

Authors:  Matthias Benndorf; Yirong Wu; Elizabeth S Burnside
Journal:  Clin Imaging       Date:  2015-10-27       Impact factor: 1.605

10.  Positive impact of elastography in breast cancer diagnosis: an institutional experience.

Authors:  Andrea Botticelli; Eva Mazzotti; Domenica Di Stefano; Viviana Petrocelli; Federica Mazzuca; Marco La Torre; Francesca Romana Ciabatta; Rosaria Maria Giovagnoli; Paolo Marchetti; Adriana Bonifacino
Journal:  J Ultrasound       Date:  2015-08-12
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