Axillary lymph node core biopsy for breast cancer metastases — How many needle passes are enough?

2012 ◽  
Vol 67 (5) ◽  
pp. 417-419 ◽  
Author(s):  
E.J. Macaskill ◽  
C.A. Purdie ◽  
L.B. Jordan ◽  
D. Mclean ◽  
P. Whelehan ◽  
...  
2017 ◽  
Vol 43 (11) ◽  
pp. 2244
Author(s):  
Rajeshkumar Balasubramanian ◽  
Mohamed Aly Elzawahry ◽  
Santosh kumar Somasundaram ◽  
Razick Sait ◽  
Siv Salakianathan ◽  
...  

2018 ◽  
Vol 44 ◽  
pp. S48
Author(s):  
Rajeshkumar Balasubramanian ◽  
Mohamed Aly Elzawahry ◽  
Santosh kumar Somasundaram ◽  
Razick Sait ◽  
Siv Salakianathan ◽  
...  

2017 ◽  
Vol 35 (25) ◽  
pp. 2866-2870 ◽  
Author(s):  
Seth A. Wander ◽  
Erica L. Mayer ◽  
Harold J. Burstein

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors’ suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice. A 68-year-old postmenopausal woman was diagnosed with breast cancer 6 years ago when she presented with a stage II (T2N1), right-sided, invasive ductal carcinoma considered grade 2 of 3 on core biopsy, with a positive fine-needle aspiration of a palpable, ipsilateral axillary lymph node. Immunohistochemical analysis was positive for estrogen and progesterone receptor expression and negative for human epidermal growth factor receptor 2 (HER2) overexpression. She received neoadjuvant dose-dense doxorubicin, cyclophosphamide, and paclitaxel chemotherapy, followed by breast-conserving surgery and axillary lymph node dissection, which revealed residual disease in three of 11 nodes. She received adjuvant radiation therapy and initiated letrozole, with excellent compliance during the interval 6-year period. While receiving adjuvant letrozole therapy, she reported 3 months of worsening back pain. Skeletal scintigraphy and cross-sectional imaging confirmed widespread osseous metastatic disease and right supraclavicular lymph node enlargement ( Fig 1 ). Core biopsy of the involved lymph node confirmed estrogen receptor (ER)–positive (90%), progesterone receptor–negative, HER2-negative recurrent metastatic breast cancer. The patient reported mild pain that was adequately controlled with over-the-counter anti-inflammatory medications. She has remained active with an excellent performance status.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  

Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2W) dedicated axillary MRI features with node-by-node analysis. From August 2012 until October 2014, all women who had undergone dedicated axillary 3.0T T2W MRI, followed by axillary surgery, were retrospectively identified, and available clinical data were collected. All axillary lymph nodes were manually delineated on the T2W MR images, and quantitative radiomics features were extracted from the delineated regions. Data were partitioned patient-wise to train 100 models using different splits for the training and validation cohorts to account for multiple lymph nodes per patient and class imbalance. Features were selected in the training cohorts using recursive feature elimination with repeated 5-fold cross-validation, followed by the development of random forest models. The performance of the models was assessed using the area under the curve (AUC). A total of 75 women (median age, 61 years; interquartile range, 51–68 years) with 511 axillary lymph nodes were included. On final pathology, 36 (7%) of the lymph nodes had metastasis. A total of 105 original radiomics features were extracted from the T2W MR images. Each cohort split resulted in a different number of lymph nodes in the training cohorts and a different set of selected features. Performance of the 100 clinical and radiomics models showed a wide range of AUC values between 0.41–0.74 and 0.48–0.89 in the training cohorts, respectively, and between 0.30–0.98 and 0.37–0.99 in the validation cohorts, respectively. With these results, it was not possible to obtain a final prediction model. Clinical characteristics and dedicated axillary MRI-based radiomics with node-by-node analysis did not contribute to the prediction of axillary lymph node metastasis in breast cancer based on data where variations in acquisition and reconstruction parameters were not addressed.


Breast Cancer ◽  
2012 ◽  
Vol 20 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Masakuni Noguchi ◽  
Emi Morioka ◽  
Yukako Ohno ◽  
Miki Noguchi ◽  
Yasuharu Nakano ◽  
...  

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