Magnetic resonance mammography in the evaluation of recurrence at the prior lumpectomy site after conservative surgery and radiotherapyReport as inadecuate




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Breast Cancer Research

, 8:R53

First Online: 07 September 2006Received: 18 May 2006Revised: 18 August 2006Accepted: 07 September 2006

Abstract

IntroductionThe aim was to assess the value of magnetic resonance mammography MRM in the detection of recurrent breast cancer on the prior lumpectomy site in patients with previous conservative surgery and radiotherapy.

MethodsBetween April 1999 and July 2003, 93 consecutive patients with breast cancer treated with conservative surgery and radiotherapy underwent MRM, when a malignant lesion on the site of lumpectomy was suspected by ultrasound and-or mammography. MRM scans were evaluated by morphological and dynamic characteristics. MRM diagnosis was compared with histology or with a 36-month imaging follow-up. Enhancing areas independent of the prior lumpectomy site, incidentally detected during the MRM, were also evaluated.

ResultsMRM findings were compared with histology in 29 patients and with a 36-month follow-up in 64 patients. MRM showed 90% sensitivity, 91.6% specificity, 56.3% positive predictive value and 98.7% negative predictive value for detection of recurrence on the surgical scar. MRM detected 13 lesions remote from the scar. The overall sensitivity, specificity, positive predictive value and negative predictive value of MRM for detection of breast malignancy were 93.8%, 90%, 62.5% and 98.8%, respectively.

ConclusionMRM is a sensitive method to differentiate recurrence from post-treatment changes at the prior lumpectomy site after conservative surgery and radiation therapy. The high negative predictive value of this technique can avoid unnecessary biopsies or surgical treatments.

AbbreviationsBI-RADSBreast Imaging Reporting and Data System

MRImagnetic resonance imaging

MRMmagnetic resonance mammography.

Electronic supplementary materialThe online version of this article doi:10.1186-bcr1600 contains supplementary material, which is available to authorized users.

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Author: Lorenzo Preda - Gaetano Villa - Stefania Rizzo - Luca Bazzi - Daniela Origgi - Enrico Cassano - Massimo Bellomi

Source: https://link.springer.com/







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