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Details

Autor(en) / Beteiligte
Titel
Magnetic resonance imaging in the preoperative assessment of patients with primary breast cancer: systematic review of diagnostic accuracy and meta-analysis
Ist Teil von
  • European radiology, 2012, Vol.22 (1), p.26-38
Ort / Verlag
Berlin/Heidelberg: Springer-Verlag
Erscheinungsjahr
2012
Link zum Volltext
Quelle
SpringerLink (Online service)
Beschreibungen/Notizen
  • Objectives To estimate the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting additional lesions and contralateral cancer not identified using conventional imaging in primary breast cancer. Methods We have conducted a systematic review and meta-analyses to estimate diagnostic accuracy indices and the impact of MRI on surgical management. Results Fifty articles were included ( n  = 10,811 women). MRI detected additional disease in 20% of women and in the contralateral breast in 5.5%. The summary PPV of ipsilateral additional disease was 67% (95% CI 59–74%). For contralateral breast, the PPV was 37% (95% CI 27–47%). For ipsilateral lesions, MRI devices ≥1.5 Tesla (T) had higher PPV (75%, 95% CI 64–83%) than MRI with <1.5 T (59%, 95% CI 53–71%). Similar results were found for contralateral cancer, PPV 40% (95% CI 29–53%) and 19% (95% CI 8–39%) for high- and low-field equipments, respectively. True positive MRI findings prompted conversion from wide local excision (WLE) to more extensive surgery in 12.8% of women while in 6.3% this conversion was inappropriate. Conclusions MRI shows high diagnostic accuracy, but MRI findings should be pathologically verified because of the high FP rate. Future research on this emerging technology should focus on patient outcome as the primary end-point. Key Points • Breast Magnetic Resonance Imaging is becoming increasingly popular for cancer staging before surgery. • This diagnostic accuracy systematic review and meta-analysis updates previous ones demonstrating MRI has high diagnostic accuracy and causes more extensive surgery. • Magnetic Resonance protocols at 1.5 T or greater shows greater positive predictive value than lower-field equipments. • The actual impact on clinical relevant outcomes should be addressed with properly designed randomized controlled trials.

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