title: Accuracy and surgical impact of magnetic resonance imaging in breast cancer staging: systematic review and meta-analysis in detection of multifocal and multicentric cancer.
abstract: PURPOSE We review the evidence on magnetic resonance imaging (MRI) in staging the affected breast to determine its accuracy and impact on treatment. METHODS Systematic review and meta-analysis of the accuracy of MRI in detection of multifocal (MF) and/or multicentric (MC) cancer not identified on conventional imaging. We estimated summary receiver operating characteristic curves, positive predictive value (PPV), true-positive (TP) to false positive (FP) ratio, and examined their variability according to quality criteria. Pooled estimates of the proportion of women whose surgery was altered were calculated. Results Data from 19 studies showed MRI detects additional disease in 16% of women with breast cancer (N = 2,610). MRI incremental accuracy differed according to the reference standard (RS; P = .016) decreasing from 99% to 86% as the quality of the RS increased. Summary PPV was 66% (95% CI, 52% to 77%) and TP:FP ratio was 1.91 (95% CI, 1.09 to 3.34). Conversion from wide local excision (WLE) to mastectomy was 8.1% (95% CI, 5.9 to 11.3), from WLE to more extensive surgery was 11.3% in MF/MC disease (95% CI, 6.8 to 18.3). Due to MRI-detected lesions (in women who did not have additional malignancy on histology) conversion from WLE to mastectomy was 1.1% (95% CI, 0.3 to 3.6) and from WLE to more extensive surgery was 5.5% (95% CI, 3.1 to 9.5). CONCLUSION MRI staging causes more extensive breast surgery in an important proportion of women by identifying additional cancer, however there is a need to reduce FP MRI detection. Randomized trials are needed to determine the clinical value of detecting additional disease which changes surgical treatment in women with apparently localized breast cancer.
authors.affiliation: Screening and Test Evaluation Program, School of Public Health, University of Sydney, Sydney, Australia. nehmath@med.usyd.edu.au
authors.forename: Nehmat
authors.initials: N
authors.lastname: Houssami
authors.forename: Stefano
authors.initials: S
authors.lastname: Ciatto
authors.forename: Petra
authors.initials: P
authors.lastname: Macaskill
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Lord
authors.forename: Ruth M
authors.initials: RM
authors.lastname: Warren
authors.forename: J Michael
authors.initials: JM
authors.lastname: Dixon
authors.forename: Les
authors.initials: L
authors.lastname: Irwig
mesh_terms: D001943:Breast Neoplasms / Q000453:epidemiology / Q000473:pathology* / Q000601:surgery; D016009:Chi-Square Distribution; D005260:Female; D006801:Humans; D016015:Logistic Models; D008279:Magnetic Resonance Imaging; D009367:Neoplasm Staging; D015995:Prevalence; D012372:ROC Curve; D012680:Sensitivity and Specificity