scholarly journals Assessment of the accuracy of ultrasound compared to magnetic resonance imaging in the ability to detect metastatic breast cancer to the axilla

2012 ◽  
Vol 2 (1) ◽  
pp. 4 ◽  
Author(s):  
Sarah Ines Ramirez ◽  
Max Scholle ◽  
Jennifer Buckmaster ◽  
Gopal Chandru Kowdley

Sentinel lymph node biopsy (SLNB) is routinely used in the staging of invasive breast cancer. The aim of this study was to investigate the diagnostic accuracy of ultrasonography (US) compared to magnetic resonance imaging (MRI) in the pre-operative assessment of metastatic disease to the axilla in breast cancer patients at our community hospital. We retrospectively reviewed a prospectively collected database of 277 patients seen at our breast center from 2009 to 2010. Patients with invasive breast cancer were then evaluated for axillary metastasis. Lymph nodes were sampled using fine needle aspiration (FNAB) or core biopsy. Histopathology of the sentinel lymph nodes (SLN) or results of the axillary dissection were compared to US or MRI results. A total of 228 patients had invasive breast cancer. In these patients, 122 lymph nodes were sampled. Pathology proven metastases to axillary lymph nodes were found in 76 cases. Accuracy and sensitivity were higher in US than MRI in detecting metastatic disease to the axilla (70.2%, 84.6%, P<0.001 and 60.0%, 52.6%, P <0.1, respectively). US was more accurate than MRI at detecting metastatic breast cancer in the axilla in our community hospital. Axillary US should be a routine part of assessment of breast cancer patients.

2016 ◽  
Vol 106 (1) ◽  
pp. 68-73 ◽  
Author(s):  
K. H. Haraldsdóttir ◽  
Þ. Jónsson ◽  
A. B. Halldórsdóttir ◽  
K.-G. Tranberg ◽  
K. S. Ásgeirsson

Background and Aim: In Landspitali University Hospital, magnetic resonance imaging is used non-selectively in addition to mammogram and ultrasound in the preoperative assessment of breast cancer patients. The aim of this study was to assess invasive tumor size on imaging, compare with pathological size and evaluate the impact of magnetic resonance imaging on the type of surgery performed. Material and Methods: All women with invasive breast cancer, diagnosed in Iceland, between 2007 and 2009 were reviewed retrospectively. In all, 438 of 641 (68%) patients diagnosed had preoperative magnetic resonance imaging. Twelve patients treated with neoadjuvant chemotherapy were excluded and 65 patients with multifocal or contralateral disease were assessed separately. Results: Correlations between microscopic and radiologic tumor sizes were relatively weak. All imaging methods were inaccurate especially for large tumors, resulting in an overall underestimation of tumor size for these tumors. Magnetic resonance imaging under- and overestimated pathological tumor size by more than 10 mm in 16/348 (4.6%) and 26/348 patients (7.5%), respectively. In 19 patients (73%), overestimation of size was seen exclusively on magnetic resonance imaging. For tumors under- or overestimated by magnetic resonance imaging, the mastectomy rates were 56% and 65%, respectively, compared to an overall mastectomy rate of 43%. Of 51 patients diagnosed with multifocal disease on pathology, 19 (37%) were diagnosed by mammogram or ultrasound and 40 (78%) by magnetic resonance imaging resulting in a total detection rate of 84% (43 patients). Fourteen (3%) patients were diagnosed preoperatively with contralateral disease. Of those tumors, all were detected on magnetic resonance imaging but seven (50%) were also detected on mammogram or ultrasound or both. Conclusion: Our results suggest that routine use of magnetic resonance imaging may result in both under- and overestimation of tumor size and increase mastectomy rates in a small proportion of patients. Magnetic resonance imaging aids in the diagnosis of contralateral and multifocal disease.


The Breast ◽  
2014 ◽  
Vol 23 (3) ◽  
pp. 295-296 ◽  
Author(s):  
E. Montagna ◽  
F. Peccatori ◽  
G. Petralia ◽  
N. Tomasi Cont ◽  
M. Iorfida ◽  
...  

2021 ◽  
Vol 76 ◽  
pp. 98-103
Author(s):  
Gamze Durhan ◽  
Ahmet Poker ◽  
Emil Settarzade ◽  
Jale Karakaya ◽  
Kemal Kösemehmetoğlu ◽  
...  

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