scholarly journals Ultrasound and Elastographic Features predicting Axillary Nodal Metastasis in Breast Cancer

2017 ◽  
Vol 03 (02) ◽  
pp. 127-129
Author(s):  
Suresh Phatak ◽  
Raju Shinde ◽  
Nipun Gupta ◽  
Gaurangi Pawar ◽  
Pallavi Phatak
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Prognostic Factor ◽  
Lymph Node Metastasis ◽  
Nodal Metastasis ◽  
Carcinoma Breast ◽  
Node Metastasis ◽  
Important Prognostic Factor ◽  
Pictorial Essay

AbstractLymph node metastasis is an important prognostic factor in cases of carcinoma breast. In this pictorial essay, various sonographic and elastographic signs of lymph node metastasis are described with classical images.

scholarly journals Correlation of coagulation markers with axillary lymph node metastasis in breast malignancy: a tertiary care centre study in North India

2020 ◽  
Vol 7 (4) ◽  
pp. 1045
Author(s):  
Vaibhav Srivastava ◽  
Nandan Rai ◽  
Shabi Ahmad ◽  
Vikram Singh ◽  
Shirish Kumar
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Factor Viii ◽  
Sentinel Node ◽  
Factor Vii ◽  
Carcinoma Breast ◽  
Node Metastasis ◽  
Node Biopsy ◽  
D Dimer

Background: Breast cancer is the most common female cancer worldwide representing nearly a quarter (25%) of all cancers. Search for a marker which can predict lymph node metastasis in clinically negative axilla has been a matter of research for long. The present study is an attempt to evaluate role of coagulation makers with special reference to D-dimer and factor 7 and 8 in patients of carcinoma breast in predicting lymph node metastasis in carcinoma patients.Methods: The study was a prospective study conducted in 50 diagnosed patients of carcinoma breast in whom D dimer levels and factor 7 and 8 levels were measured at the time of commencement of the treatment and at six weeks after surgery.Results: Most of the patients in the study group were in the age group 41-70 (80%) years. 22% patients were of early Breast cancer. The reduction in D-dimer, factor VII and factor VIII value after 6 weeks of surgery were significant (p value 0.0001 for all three).Conclusions: D-dimer and factor VII were found to be an independent predictive factor for lymph node metastatsis, thus providing as a safe, easy, objective and convenient supplement to sentinel node biopsy in assessing metastatic disease in axilla. Combined- with other biomarkers, it may prove to be an alternative to sentinel node biopsy in assessing metastatic disease in axilla. Significant postoperative decrease in D-dimer, factor VII and factor VIII may provide objective criteria to assess completion of surgery.

Age is not a prognostic factor in Korean women with breast cancer treated with breast conservative surgery and radiotherapy

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 10740-10740
Author(s):  
D. Choi ◽  
E. Kim ◽  
Y. Kim ◽  
M. Lee ◽  
H. Park
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Prognostic Factor ◽  
Lymph Node Metastasis ◽  
Lymph Node Status ◽  
Significant Prognostic Factor ◽  
Axillary Lymph ◽  
Korean Women ◽  
Node Metastasis ◽  
Node Status

10740 Background: The median age of the breast cancer at diagnosis in Korean women is 45 years and a quarter of the patients are at age 40 or younger. The purpose of this study was to analyze the prognostic factors including age for patients treated with breast conserving surgery and radiotherapy. Methods: Two hundred and eleven breast cancer patients were treated with breast conserving therapy at Soonchunhyang University Hospital, Seoul, Korea, between May 1991 and May 2003. The radiation dose to the whole breast was 50.4 Gy over 5 weeks and boost doses of 10–14 Gy administered to the tumor bed in the majority of the patients (180/211). Nodal radiotherapy was delivered in patients with 4 or more node metastasis. Adjuvant chemotherapy was performed in most of the patients with node metastasis or tumors larger than 1cm, or younger patients. One hundred and thirty four patients received CMF regimen, 14 patients treated with CEF regimen. The median and minimum follow-up periods were 58 and 30 months respectively. Results: The average age at the time of operation was 41.9 years (median 42 years, range 23–67 years), and the mean tumor size was 2.03 cm (median 1.80 cm). One hundred and forty seven patients (69.7%) had pathologically node negative disease and fifteen patients had 4 or more lymph node metastasis. Local, regional relapse and distant metastasis occurred in 7, 3 and 10 patients respectively. The 5 year disease free, loco-regional relapse free and overall survival rate were 89.5%, 93.4%, 95.6%, respectively. Three patients among the 31 patients who received 50.4Gy or incomplete radiotherapy to the breast experienced loco-regional relapse. Age (40 years or less versus more than 40 years old) was not a prognostic factor in univariate analysis. T stage (p = 0.027), lymph node metastasis (p < 0.01) were significant factors for recurrences. By multivariate analysis, only lymph node status was a significant prognostic factor for treatment related failure. Conclusions: A breast conserving procedure is effective for patients with early stage breast cancer regardless of age in Korean women. Axillary lymph node status was the most important independent predictor for a recurrence, and more efficient treatment is required for these patients with lymph node metastasis. No significant financial relationships to disclose.

Pattern of invasion is the most important prognostic factor in patients with penile cancer submitted to lymph node dissection and pathological absence of lymph node metastasis

2015 ◽  
Vol 116 (4) ◽  
pp. 584-589 ◽  
Author(s):  
Giuliano Aita ◽  
Walter Henriques da Costa ◽  
Stenio de Cassio Zequi ◽  
Isabela Werneck da Cunha ◽  
Fernando Soares ◽  
...  
Keyword(s):  
Lymph Node ◽  
Prognostic Factor ◽  
Lymph Node Metastasis ◽  
Lymph Node Dissection ◽  
Penile Cancer ◽  
Node Dissection ◽  
Node Metastasis ◽  
Important Prognostic Factor ◽  
Pattern Of Invasion

Is FDG maximum standardized uptake value of primary breast cancer a prognostic factor for locoregional axillary lymph node metastasis?

2019 ◽  
Vol 60 (10) ◽  
pp. 1241-1250
Author(s):  
Rania Refaat ◽  
Mohammad Abd Alkhalik Basha ◽  
Mohammed Sobhi Hassan ◽  
Rasha S Hussein ◽  
Rania M Al-Molla ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Prognostic Factor ◽  
Lymph Node Metastasis ◽  
Axillary Lymph Node ◽  
Standardized Uptake Value ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph ◽  
Maximum Standardized Uptake Value ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document