Axillary staging should be routine in primary rhabdomyosarcoma of breast: A rare case report and review of literature

2021 ◽  
pp. 1-4
Author(s):  
S. Bharath ◽  
Naresh Lodhi ◽  
Sanjay Kumar Yadav ◽  
Ashutosh Silodia ◽  
Arvind Baghel ◽  
...  
Keyword(s):  
Lymph Node ◽  
Full Text ◽  
Axillary Lymph Node ◽  
English Language ◽  
Case Reports ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Staging ◽  
Axillary Lymph ◽  
Rare Case Report ◽  
Metastatic Involvement

INTRODUCTION: Primary rhabdomyosarcoma (RMS) of breast is an uncommon entity and axillary lymph node (ALN) involvement is exceedingly rare. METHODS: Herein, we are reporting a case of RMS of breast with ALN metastasis in an adolescent girl. We searched Pubmed and Cochrane databases with keywords rhabdomyosarcoma and breast. All studies published in English language literature were included. Articles describing metastatic involvement of breast with RMS were excluded. RESULT: The initial search yielded a total of 8468 studies, out of which 03 were found to be duplicate. 8420 studies were excluded based on title and abstract as they did not fulfill inclusion criteria. Full text of the remaining 48 studies was screened. After full text screening, 26 case reports describing primary breast RMS were included. Overall 21% patients had axillary lymph node metastasis. CONCLUSION: Axillary staging should be considered in every patient undergoing surgery for breast RMS. However, it’s impact on recurrence and survival could not be determined based on current review.

scholarly journals Two case reports: Breast schwannoma and a rare case of an axillary schwannoma imitating an axillary lymph node metastasis

2021 ◽  
Vol 16 (8) ◽  
pp. 2154-2157
Author(s):  
Martin Duehrkoop ◽  
Bernd Frericks ◽  
Christine Ankel ◽  
Christine Boettcher ◽  
Wolfgang Hartmann ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Axillary Lymph Node ◽  
Rare Case ◽  
Case Reports ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph ◽  
Node Metastasis

scholarly journals Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Axillary Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Mr Images ◽  
Node Metastasis

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.

IV-DSA is a new diagnostic tool for axillary lymph node metastasis in breast cancer patients

2004 ◽  
Vol 87 (2) ◽  
pp. 75-79 ◽  
Author(s):  
Osamu Watanabe ◽  
Tadao Shimizu ◽  
Hiroshi Imamura ◽  
Jun Kinoshita ◽  
Yoshihito Utada ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Diagnostic Tool ◽  
Axillary Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph ◽  
Breast Cancer Patients ◽  
Node Metastasis

Pure mucinous carcinoma with axillary lymph node metastasis in a male breast

Breast Cancer ◽  
2009 ◽  
Vol 19 (4) ◽  
pp. 365-368 ◽  
Author(s):  
Dimitrios M. Dragoumis ◽  
Anthoula S. Assimaki ◽  
Aris P. Tsiftsoglou
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Axillary Lymph Node ◽  
Mucinous Carcinoma ◽  
Axillary Lymph Node Metastasis ◽  
Male Breast ◽  
Axillary Lymph ◽  
Node Metastasis
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