Hye Shin Ahn1, Mijung Jang2, Sun Mi Kim3, Bo La Yun3, Soo Hyun Lee4. 1. Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-Ro, Dongjak-Gu, Seoul, 06973, Republic of Korea. 2. Department of Radiology, Seoul National University Bundang Hospital, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea. mjjang74@gmail.com. 3. Department of Radiology, Seoul National University Bundang Hospital, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea. 4. Department of Radiology, Chungbuk National University Hospital, 776 1Sunhwan-ro, Seowon-gu, Cheongju, Cungcheongbuk, 28644, Republic of Korea.
Abstract
OBJECTIVE: Axillary staging of primary breast cancer is important; however, axillary staging using advanced magnetic resonance imaging (MRI) techniques is very difficult to use. Therefore, we want to evaluate the diagnostic performance of preoperative MRI with a dedicated axillary sequence for axillary lymph node (ALN) metastasis in patients with early ductal breast cancer and determine potential predictors of axillary nodal positivity. MATERIALS AND METHODS: We retrospectively reviewed the MRI findings for 74 consecutive patients diagnosed with invasive breast cancer. The diagnostic performances of axial images alone and axial + reconstructed coronal images for the detection of ALN metastasis were evaluated. The clinicopathological and MRI features of the primary breast cancer lesions were determined. RESULTS: The sensitivity (52.9% vs. 47.1%), specificity (89.5% vs. 71.9%), positive predictive value (60% vs. 33.3%), and negative predictive value (86.4% vs. 82%) for the preoperative detection of ALN metastasis were higher for axial + coronal images than for axial images. In addition, the area under the receiver operating characteristic curve value was higher for axial + coronal images than for axial images (0.595 vs. 0.712, p = 0.043). Peritumoral high signal intensity on T2-weighted images (p = 0.015) of the primary tumor was significantly associated with ALN metastasis. CONCLUSION: Our findings suggest that preoperative axial + reconstructed coronal MR images exhibit good diagnostic performance for ALN metastasis in patients with early ductal breast cancer. In addition, peritumoral high signal intensity on T2-weighted images of the primary tumor can be used as a predictor of ALN metastasis in these patients.
OBJECTIVE: Axillary staging of primary breast cancer is important; however, axillary staging using advanced magnetic resonance imaging (MRI) techniques is very difficult to use. Therefore, we want to evaluate the diagnostic performance of preoperative MRI with a dedicated axillary sequence for axillary lymph node (ALN) metastasis in patients with early ductal breast cancer and determine potential predictors of axillary nodal positivity. MATERIALS AND METHODS: We retrospectively reviewed the MRI findings for 74 consecutive patients diagnosed with invasive breast cancer. The diagnostic performances of axial images alone and axial + reconstructed coronal images for the detection of ALN metastasis were evaluated. The clinicopathological and MRI features of the primary breast cancer lesions were determined. RESULTS: The sensitivity (52.9% vs. 47.1%), specificity (89.5% vs. 71.9%), positive predictive value (60% vs. 33.3%), and negative predictive value (86.4% vs. 82%) for the preoperative detection of ALN metastasis were higher for axial + coronal images than for axial images. In addition, the area under the receiver operating characteristic curve value was higher for axial + coronal images than for axial images (0.595 vs. 0.712, p = 0.043). Peritumoral high signal intensity on T2-weighted images (p = 0.015) of the primary tumor was significantly associated with ALN metastasis. CONCLUSION: Our findings suggest that preoperative axial + reconstructed coronal MR images exhibit good diagnostic performance for ALN metastasis in patients with early ductal breast cancer. In addition, peritumoral high signal intensity on T2-weighted images of the primary tumor can be used as a predictor of ALN metastasis in these patients.
Entities:
Keywords:
Axilla; Breast cancer; Lymph node; Magnetic resonance imaging; Metastasis
Authors: Maja Podkrajsek; Maja Marolt Music; Maksimiljan Kadivec; Janez Zgajnar; Nikola Besic; Ana Pogacnik; Marko Hocevar Journal: Eur Radiol Date: 2005-01-27 Impact factor: 5.315
Authors: Abigail S Caudle; Henry M Kuerer; Huong T Le-Petross; Wei Yang; Min Yi; Isabelle Bedrosian; Savitri Krishnamurthy; Bruno D Fornage; Kelly K Hunt; Elizabeth A Mittendorf Journal: Ann Surg Oncol Date: 2014-05-24 Impact factor: 5.344
Authors: Pascal A T Baltzer; Fan Yang; Matthias Dietzel; Aimée Herzog; Anke Simon; Tibor Vag; Mieczyslaw Gajda; Oumar Camara; Werner Alois Kaiser Journal: Breast J Date: 2010 May-Jun Impact factor: 2.431
Authors: Armando E Giuliano; Kelly K Hunt; Karla V Ballman; Peter D Beitsch; Pat W Whitworth; Peter W Blumencranz; A Marilyn Leitch; Sukamal Saha; Linda M McCall; Monica Morrow Journal: JAMA Date: 2011-02-09 Impact factor: 56.272
Authors: V J L Kuijs; M Moossdorff; R J Schipper; R G H Beets-Tan; E M Heuts; K B M I Keymeulen; M L Smidt; M B I Lobbes Journal: Insights Imaging Date: 2015-03-24