Literature DB >> 33462625

Nonpalpable breast lesions: impact of a second-opinion review at a breast unit on BI-RADS classification.

Constance de Margerie-Mellon1, Jean-Baptiste Debry2, Axelle Dupont3, Caroline Cuvier4, Sylvie Giacchetti4, Luis Teixeira4, Marc Espié4, Cédric de Bazelaire2.   

Abstract

OBJECTIVE: To compare BI-RADS classification, management, and outcome of nonpalpable breast lesions assessed both by community practices and by a multidisciplinary tumor board (MTB) at a breast unit.
METHODS: All nonpalpable lesions that were first assigned a BI-RADS score by community practices and then reassessed by an MTB at a single breast unit from 2009 to 2017 were retrospectively reviewed. Inter-review agreement was assessed with Cohen's kappa statistic. Changes in biopsy recommendation were calculated. The percentage of additional tumor lesions detected by the MTB was obtained. The sensitivity, AUC, and cancer rates for BI-RADS category 3, 4, and 5 lesions were computed for both reviews.
RESULTS: A total of 1909 nonpalpable lesions in 1732 patients were included. For BI-RADS scores in the whole cohort, a fair agreement was found (κ = 0.40 [0.36-0.45]) between the two reviews. Agreement was higher when considering only mammography combined with ultrasound (κ = 0.53 [0.44-0.62]), masses (κ = 0.50 [0.44-0.56]), and architectural distortion (κ = 0.44 [0.11-0.78]). Changes in biopsy recommendation occurred in 589 cases (31%). Ninety of 345 additional biopsies revealed high-risk or malignant lesions. Overall, the MTB identified 27% additional high-risk and malignant lesions compared to community practices. The BI-RADS classification AUCs for detecting malignant lesions were 0.66 (0.63-0.69) for community practices and 0.76 (0.75-0.78) for the MTB (p < 0.001).
CONCLUSION: Agreement between community practices and MTB reviews for BI-RADS classification in nonpalpable lesions is only fair. MTB review improves diagnostic performances of breast imaging and patient management. KEY POINTS: • The inter-review agreement for BI-RADS classification between community practices and the multidisciplinary board was only fair (κ = 0.40). • Disagreements resulted in changes of biopsy recommendation in 31% of the lesions. • The multidisciplinary board identified 27% additional high-risk and malignant lesions compared to community practices.
© 2021. European Society of Radiology.

Entities:  

Keywords:  Breast neoplasms; Magnetic resonance imaging; Mammography; Observer variation; Ultrasonography

Mesh:

Year:  2021        PMID: 33462625     DOI: 10.1007/s00330-020-07664-1

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


  11 in total

1.  Inter-reader Variability in the Use of BI-RADS Descriptors for Suspicious Findings on Diagnostic Mammography: A Multi-institution Study of 10 Academic Radiologists.

Authors:  Amie Y Lee; Dorota J Wisner; Shadi Aminololama-Shakeri; Vignesh A Arasu; Stephen A Feig; Jonathan Hargreaves; Haydee Ojeda-Fournier; Lawrence W Bassett; Colin J Wells; Jade De Guzman; Chris I Flowers; Joan E Campbell; Sarah L Elson; Hanna Retallack; Bonnie N Joe
Journal:  Acad Radiol       Date:  2016-10-25       Impact factor: 3.173

2.  Reducing the Number of Unnecessary Percutaneous Biopsies: The Role of Second Opinion by Expert Breast Center Radiologists.

Authors:  Chiara Adriana Pistolese; Feliciana Lamacchia; Daniela Tosti; Lucia Anemona; Francesca Ricci; Michela Censi; Marco Materazzo; Gianluca Vanni; Alberto Collura; Francesca DI Giuliano; Tommaso Perretta; Oreste Claudio Buonomo
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Review 3.  Established breast cancer risk factors and risk of intrinsic tumor subtypes.

Authors:  Mollie E Barnard; Caroline E Boeke; Rulla M Tamimi
Journal:  Biochim Biophys Acta       Date:  2015-06-10

4.  Second-Opinion Review of Breast Imaging at a Cancer Center: Is It Worthwhile?

Authors:  Kristen Coffey; Donna D'Alessio; Delia M Keating; Elizabeth A Morris
Journal:  AJR Am J Roentgenol       Date:  2017-03-16       Impact factor: 3.959

5.  Does training in the Breast Imaging Reporting and Data System (BI-RADS) improve biopsy recommendations or feature analysis agreement with experienced breast imagers at mammography?

Authors:  Wendie A Berg; Carl J D'Orsi; Valerie P Jackson; Lawrence W Bassett; Craig A Beam; Rebecca S Lewis; Philip E Crewson
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

6.  Performance parameters for screening and diagnostic mammography: specialist and general radiologists.

Authors:  Edward A Sickles; Dulcy E Wolverton; Katherine E Dee
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

7.  Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy.

Authors:  Joann G Elmore; Sara L Jackson; Linn Abraham; Diana L Miglioretti; Patricia A Carney; Berta M Geller; Bonnie C Yankaskas; Karla Kerlikowske; Tracy Onega; Robert D Rosenberg; Edward A Sickles; Diana S M Buist
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

8.  The clinician's role in the diagnosis of breast disease.

Authors:  S Poma; A Longo
Journal:  J Ultrasound       Date:  2011-05-04

9.  Patterns of Recurrence and outcome according to breast cancer subtypes in lymph node-negative disease: results from international breast cancer study group trials VIII and IX.

Authors:  Otto Metzger-Filho; Zhuoxin Sun; Giuseppe Viale; Karen N Price; Diana Crivellari; Raymond D Snyder; Richard D Gelber; Monica Castiglione-Gertsch; Alan S Coates; Aron Goldhirsch; Fatima Cardoso
Journal:  J Clin Oncol       Date:  2013-07-29       Impact factor: 44.544

10.  Family history and risk of breast cancer: an analysis accounting for family structure.

Authors:  Hannah R Brewer; Michael E Jones; Minouk J Schoemaker; Alan Ashworth; Anthony J Swerdlow
Journal:  Breast Cancer Res Treat       Date:  2017-06-03       Impact factor: 4.872

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