Literature DB >> 35392255

Value of BI-RADS 3 Audits.

Prithwijit Roychowdhury1, Gopal R Vijayaraghavan1,2, John Roubil1, Imani M Williams1, Efaza Siddiqui2, Srinivasan Vedantham3.   

Abstract

Objectives: BI-RADS 3 is an established assessment category in which the probability of malignancy is equal to or less than 2%. However, monitoring adherence to imaging criteria can be challenging and there are few established benchmarks for auditing BI-RADS 3 assignments. In this study, we explore some parameters that could serve as useful tools for quality control and clinical practice management. Materials and
Methods: This retrospective study covered a 4-year period (Jan 2014-Dec 2017) and included all women over 40 years who were recalled from a screening exam and had an initial assignment of BI-RADS 3 (probably benign) category after diagnostic workup. A follow-up period of 2 years following the assignment of BI-RADS 3 was used for quantitative quality control metrics.
Results: Among 135,765 screening exams, 13,453 were recalled and 1,037 BI-RADS 3 cases met inclusion criteria. The follow-up rate at 24 months was 86.7%. The upgrade rate was 7.4% (77/1,037) [CI: 5.9-9.2%] and the PPV3 was 33.8% (26/77) [CI: 23.4-45.5%]. The cancer yield was 2.51% (26/1,037) [CI: 1.64-3.65%] and did not differ (p=0. 243) from the 2% probability of malignancy. The initial BI-RADS3 per screening exam and per recall from screening were 0.76% (1,037/135,765) [CI: 0.72-0.81%] and 7.7% (1,037/13,453) [CI: 7.26-8.17%], respectively.
Conclusion: Regular audit of BIRADS 3 metrics has the potential to provide additional insights for clinical practice management. Data from varied clinical settings with input from an expert committee could help establish benchmarks for these metrics.

Entities:  

Keywords:  BI-RADS 3; BI-RADS criteria; breast cancer; mammography; radiology; screening

Year:  2022        PMID: 35392255      PMCID: PMC8983005          DOI: 10.26717/BJSTR.2022.41.006668

Source DB:  PubMed          Journal:  Biomed J Sci Tech Res        ISSN: 2574-1241


  24 in total

1.  Performance benchmarks for screening mammography.

Authors:  Robert D Rosenberg; Bonnie C Yankaskas; Linn A Abraham; Edward A Sickles; Constance D Lehman; Berta M Geller; Patricia A Carney; Karla Kerlikowske; Diana S M Buist; Donald L Weaver; William E Barlow; Rachel Ballard-Barbash
Journal:  Radiology       Date:  2006-10       Impact factor: 11.105

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Cancer Yield Exceeds 2% for BI-RADS 3 Probably Benign Findings in Women Older Than 60 Years in the National Mammography Database.

Authors:  Cindy S Lee; Jeremy M Berg; Wendie A Berg
Journal:  Radiology       Date:  2021-03-30       Impact factor: 11.105

4.  Breast calcifications: mammographic evaluation.

Authors:  E A Sickles
Journal:  Radiology       Date:  1986-08       Impact factor: 11.105

5.  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

6.  Nonpalpable, probably benign lesions: role of follow-up mammography.

Authors:  X Varas; F Leborgne; J H Leborgne
Journal:  Radiology       Date:  1992-08       Impact factor: 11.105

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.  Screening for Breast Cancer.

Authors:  Bethany L Niell; Phoebe E Freer; Robert Jared Weinfurtner; Elizabeth Kagan Arleo; Jennifer S Drukteinis
Journal:  Radiol Clin North Am       Date:  2017-11       Impact factor: 2.303

Review 9.  Benefits and harms of mammography screening.

Authors:  Magnus Løberg; Mette Lise Lousdal; Michael Bretthauer; Mette Kalager
Journal:  Breast Cancer Res       Date:  2015-05-01       Impact factor: 6.466

10.  Positive Predictive Value of Tomosynthesis-guided Biopsies of Architectural Distortions Seen on Digital Breast Tomosynthesis and without an Ultrasound Correlate.

Authors:  Gopal R Vijayaraghavan; Adrienne Newburg; Srinivasan Vedantham
Journal:  J Clin Imaging Sci       Date:  2019-11-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.