PURPOSE: This study was done to verify the usefulness of preoperative breast magnetic resonance (MR) imaging in patients with newly diagnosed breast cancer. MATERIALS AND METHODS: A retrospective analysis of 291 patients with invasive breast cancer newly diagnosed with conventional breast imaging (mammography and ultrasound) was performed. All patients underwent MR imaging prior to surgery. The MR imaging detection rate of additional malignant cancers occult to mammography and ultrasound was calculated. Data were analysed with Fisher's exact test (p<0.05) according to the following parameters: histopathological features of the index tumour (histological type and size) and mammographic density [according to the Breast Imaging Reporting and Data System (BI-RADS) classification from 1 fatty to 4 dense). The gold standard was the histological examination on the surgical specimen. RESULTS: MR imaging identified 40 mammographically and sonographically occult malignant lesions other than the index cancer in 27/291 patients (9%). These additional cancers were located in the same quadrant as the index cancer in 13 women (4%), in a different quadrant in 12 (4%) and in the contralateral breast in the remaining two (1%). The cancer detection rate in the subgroup of index cancers with lobular histological type was 25%, significantly higher (p=0.03) than the detection rate of 11% recorded in the subgroup of ductal cancers. The cancer detection rate in the subgroup of index cancers >2 cm was 27%, significantly higher (p=0.001) than the rate of 8% found in the subgroup of index cancers <2 cm. Mammographic density was not correlated (p=0.48) with MR detection of additional cancer, with 14% of additional malignancies being detected in both dense and fatty breasts. CONCLUSIONS: In patients with newly diagnosed invasive breast cancer, preoperative MR imaging is useful for detecting additional synchronous malignancies that are not detected on conventional breast imaging. The cancer detection rate is 9%. The use of preoperative MR imaging as an adjunct to conventional breast imaging in women with an infiltrating lobular index cancer and an index cancer >2 cm is especially beneficial.
PURPOSE: This study was done to verify the usefulness of preoperative breast magnetic resonance (MR) imaging in patients with newly diagnosed breast cancer. MATERIALS AND METHODS: A retrospective analysis of 291 patients with invasive breast cancer newly diagnosed with conventional breast imaging (mammography and ultrasound) was performed. All patients underwent MR imaging prior to surgery. The MR imaging detection rate of additional malignant cancers occult to mammography and ultrasound was calculated. Data were analysed with Fisher's exact test (p<0.05) according to the following parameters: histopathological features of the index tumour (histological type and size) and mammographic density [according to the Breast Imaging Reporting and Data System (BI-RADS) classification from 1 fatty to 4 dense). The gold standard was the histological examination on the surgical specimen. RESULTS: MR imaging identified 40 mammographically and sonographically occult malignant lesions other than the index cancer in 27/291 patients (9%). These additional cancers were located in the same quadrant as the index cancer in 13 women (4%), in a different quadrant in 12 (4%) and in the contralateral breast in the remaining two (1%). The cancer detection rate in the subgroup of index cancers with lobular histological type was 25%, significantly higher (p=0.03) than the detection rate of 11% recorded in the subgroup of ductal cancers. The cancer detection rate in the subgroup of index cancers >2 cm was 27%, significantly higher (p=0.001) than the rate of 8% found in the subgroup of index cancers <2 cm. Mammographic density was not correlated (p=0.48) with MR detection of additional cancer, with 14% of additional malignancies being detected in both dense and fatty breasts. CONCLUSIONS: In patients with newly diagnosed invasive breast cancer, preoperative MR imaging is useful for detecting additional synchronous malignancies that are not detected on conventional breast imaging. The cancer detection rate is 9%. The use of preoperative MR imaging as an adjunct to conventional breast imaging in women with an infiltrating lobular index cancer and an index cancer >2 cm is especially beneficial.
Authors: F Sardanelli; G M Giuseppetti; G Canavese; L Cataliotti; S Corcione; E Cossu; M Federico; L Marotti; L Martincich; P Panizza; F Podo; M Rosselli Del Turco; C Zuiani; C Alfano; M Bazzocchi; P Belli; S Bianchi; A Cilotti; M Calabrese; L Carbonaro; L Cortesi; C Di Maggio; A Del Maschio; A Esseridou; A Fausto; M Gennaro; R Girometti; R Ienzi; A Luini; S Manoukian; S Morassutt; D Morrone; J Nori; A Orlacchio; F Pane; P Panzarola; R Ponzone; G Simonetti; P Torricelli; G Valeri Journal: Radiol Med Date: 2008-10-16 Impact factor: 3.469
Authors: U Veronesi; A Banfi; B Salvadori; A Luini; R Saccozzi; R Zucali; E Marubini; M Del Vecchio; P Boracchi; S Marchini Journal: Eur J Cancer Date: 1990 Impact factor: 9.162
Authors: R M Mann; C E Loo; T Wobbes; P Bult; J O Barentsz; K G A Gilhuijs; C Boetes Journal: Breast Cancer Res Treat Date: 2010-01 Impact factor: 4.872
Authors: Constance D Lehman; Constantine Gatsonis; Christiane K Kuhl; R Edward Hendrick; Etta D Pisano; Lucy Hanna; Sue Peacock; Stanley F Smazal; Daniel D Maki; Thomas B Julian; Elizabeth R DePeri; David A Bluemke; Mitchell D Schnall Journal: N Engl J Med Date: 2007-03-28 Impact factor: 91.245
Authors: Meagan Elizabeth Brennan; Nehmat Houssami; Sarah Lord; Petra Macaskill; Les Irwig; J Michael Dixon; Ruth M L Warren; Stefano Ciatto Journal: J Clin Oncol Date: 2009-10-05 Impact factor: 44.544
Authors: C Boetes; R D Mus; R Holland; J O Barentsz; S P Strijk; T Wobbes; J H Hendriks; S H Ruys Journal: Radiology Date: 1995-12 Impact factor: 11.105
Authors: Michael A Mastanduno; Fadi El-Ghussein; Shudong Jiang; Roberta Diflorio-Alexander; Xu Junqing; Yin Hong; Brian W Pogue; Keith D Paulsen Journal: Acad Radiol Date: 2014-02 Impact factor: 3.173
Authors: Sneha Phadke; Alexandra Thomas; Limin Yang; Catherine Moore; Chang Xia; Mary C Schroeder Journal: Clin Breast Cancer Date: 2015-08-28 Impact factor: 3.225
Authors: Carolyn E Behrendt; Lusine Tumyan; Laura Gonser; Sara L Shaw; Lalit Vora; I Benjamin Paz; Joshua D I Ellenhorn; John H Yim Journal: Breast Date: 2014-02-14 Impact factor: 4.380