scholarly journals Partial chest wall radiation therapy for positive or close surgical margins after modified radical mastectomy for breast cancer without lymph node metastasis

2019 ◽  
Vol 16 (1) ◽  
pp. 28-33
Author(s):  
Naoya Ishibashi ◽  
Haruna Nishimaki ◽  
Toshiya Maebayashi ◽  
Keita Adachi ◽  
Kenichi Sakurai ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Radiation Therapy ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Chest Wall ◽  
Radical Mastectomy ◽  
Surgical Margins ◽  
Modified Radical Mastectomy ◽  
Node Metastasis

scholarly journals Evaluation of axillary lymph node metastasis in relation to size and metastatic status of sentinel lymph node in carcinoma breast

2019 ◽  
Vol 6 (4) ◽  
pp. 1269
Author(s):  
Vineet Kumar Pandey ◽  
Deepak Ghuliani ◽  
Sushanto Neogi ◽  
Nita Khurana ◽  
R. K. Jindal
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Node Metastasis ◽  
Axillary Lymph Node ◽  
Radical Mastectomy ◽  
Blue Dye ◽  
Axillary Lymph ◽  
Modified Radical Mastectomy ◽  
Carcinoma Breast ◽  
Node Metastasis

Background: Sentinel lymph node (SLN) is the first node in the nodal basis of a tumor and the most likely site for earliest lymph node metastasis. Modified radical mastectomy with axillary lymph node dissection (ALND) has been the standard of care for carcinoma breast. The SLN is the only involved node in majority (40-70%) of the patients undergoing ALND for a positive SLN biopsy. ALND is associated with significant morbidities like seroma, infection, lymphedema and nerve injury. The purpose of this study was to evaluate the axillary node metastasis with respect to the size and tumoral load of positive SLN.Methods: Thirty patients of biopsy proven early breast carcinoma underwent SLN biopsy with methylene blue dye followed by modified radical mastectomy (MRM). After measuring the size of the SLN with Vernier caliper, SLN and MRM specimen were sent for histopathological examination. Status of non-sentinel ALNs was compared with the size and tumoral load of SLN.Results: Among 30 patients, 5 patients had positive SLN. Patients with positive SLNs were younger (mean 36 vs. 52 years), had larger diameter (10.8 vs. 7.4 mm, p<0.03) with higher number of non-sentinel ALN metastasis (35% vs. 4.86%). Macrometastasis in positive SLN was associated with higher risk of metastasis to non-sentinel ALNs.Conclusions: A SLN size of more than 7.5mm has higher risk of harboring metastasis. A SLN size higher than 10mm and macrometastasis is associated higher risk of metastasis to non-sentinel ALNs. 

scholarly journals A CASE OF BREAST CANCER RECURRED BY SKIN AND LYMPH NODE METASTASIS 38 YEARS AFTER RADICAL MASTECTOMY

2008 ◽  
Vol 69 (7) ◽  
pp. 1620-1624 ◽  
Author(s):  
Naoto FUKUDA ◽  
Kentaro SHIBUYA ◽  
Kaname MARUNO ◽  
Yasuyuki SUGIYAMA ◽  
Kunio MIZUGUCHI ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Radical Mastectomy ◽  
Node Metastasis

scholarly journals Case Report: Intercostal Lymph Node Metastasis: A Case Report and Review of the Literature

2021 ◽  
Vol 11 ◽  
Author(s):  
Yurong Zhou ◽  
Jinxuan Hou ◽  
Ning Meng ◽  
Staiculescu Daniel ◽  
Jiang Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Case Report ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Cancer Metastasis ◽  
3D Visualization ◽  
Radical Mastectomy ◽  
Axillary Lymph ◽  
Node Metastasis

The axillary lymph nodes are the primary group responsible for lymphatic drainage in the breast and, consequently, are the most common location for breast cancer metastasis. However, lymphatic pathways running from the breast, via intercostal spaces, to parasternal lymph vessels have also been identified. According to the American Joint Committee on Cancer eighth edition manual, regional lymph node metastasis normally travels to the ipsilateral axillary, supraclavicular, subclavicular, and internal mammary lymph nodes. The presence of intercostal metastasis is out the range of these regional lymph nodes. It is very rare for intercostal lymph nodes to be the extra-axillary site of metastasis in breast cancer, and it has been little reported on in the literature. Despite its rarity, it has the capacity to adversely affect the prognosis of breast cancer and drastically influence treatment choice. Here, we analyze such a case, with a patient receiving a radical mastectomy and metastatic intercostal lymph node dissection due to the presence of intercostal lymph node metastasis indicated via MRI. Furthermore, the potential application of preoperative 3-dimensional (3D) visualization and surgical planning is also discussed.

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.

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