Literature DB >> 14965577

Predicting axillary lymph node metastases in patients with T1 infiltrating ductal carcinoma of the breast.

S P Harden1, A J Neal, N Al-Nasiri, S Ashley, G Querci della Rovere.   

Abstract

Factors which can predict an increased risk of axillary metastases in cases of T1 breast cancer could help to identify those patients most likely to benefit from axillary surgery. This pragmatic study aimed to examine the ability of commonly reported tumour pathological features to predict axillary metastases. All cases of T1 infiltrating ductal carcinoma excised with ipsilateral axillary nodes over a 7 year period were reviewed retrospectively. Of the 639 cases, 197 (30.8%) had positive nodes. Axillary metastases were found with 66.3% of tumours showing vascular invasion but only 16.0% of those without vascular invasion. Following multivariate analysis, vascular invasion and tumour size were found to be independent predictors of positive nodes but tumour grade was not. The decision to perform axillary dissection in T1 breast cancer could be based on the presence of vascular invasion and the size of the primary tumour.

Entities:  

Year:  2001        PMID: 14965577     DOI: 10.1054/brst.2000.0220

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  10 in total

1.  Statistical models for predicting number of involved nodes in breast cancer patients.

Authors:  Alok Kumar Dwivedi; Sada Nand Dwivedi; Suryanarayana Deo; Rakesh Shukla; Elizabeth Kopras
Journal:  Health (Irvine Calif)       Date:  2010-07

2.  Predictors of axillary lymph node metastases (ALNM) in a Korean population with T1-2 breast carcinoma: triple negative breast cancer has a high incidence of ALNM irrespective of the tumor size.

Authors:  Jong Hoon Lee; Sung Hwan Kim; Young Jin Suh; Byoung Yong Shim; Hoon Kyo Kim
Journal:  Cancer Res Treat       Date:  2010-03-31       Impact factor: 4.679

3.  Predictors of axillary lymph node metastases in breast cancer: is there a role for minimal axillary surgery?

Authors:  C H Yip; N A Taib; G H Tan; K L Ng; B K Yoong; W Y Choo
Journal:  World J Surg       Date:  2009-01       Impact factor: 3.352

4.  Unexpected features of breast cancer subtype.

Authors:  Ye-huan Liu; Ou-chen Wang; En-dong Chen; Ye-feng Cai; Chuan-meng Pan; Fan Yang; Xiao-hua Zhang
Journal:  World J Surg Oncol       Date:  2015-08-15       Impact factor: 2.754

5.  Prediction of axillary lymph node metastases in breast cancer patients based on pathologic information of the primary tumor.

Authors:  Jia-Long Wu; Hsin-Shun Tseng; Li-Heng Yang; Hwa-Koon Wu; Shou-Jen Kuo; Shou-Tung Chen; Dar-Ren Chen
Journal:  Med Sci Monit       Date:  2014-04-08

6.  Determinants of lymph node status in women with breast cancer: A hospital based study from eastern India.

Authors:  Abhijit Chakraborty; Chinmoy Kumar Bose; Jayasri Basak; Aditya Narayan Sen; Raghwendra Mishra; Ashis Mukhopadhyay
Journal:  Indian J Med Res       Date:  2016-05       Impact factor: 2.375

7.  Predictive Value of Clinicopathological Characteristics for Sentinel Lymph Node Metastasis in Early Breast Cancer.

Authors:  Jinhua Ding; Li Jiang; Weizhu Wu
Journal:  Med Sci Monit       Date:  2017-08-25

8.  A negative binomial regression model for risk estimation of 0-2 axillary lymph node metastases in breast cancer patients.

Authors:  Hao-Yu Lin; Yu-Ling Zhang; Jun-Dong Wu; Kun Lin; Ya Xu; Chun-Fa Chen
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

9.  Factors Predicting Positive Sentinel Lymph Node Biopsy in Clinically Node-Negative Breast Cancer.

Authors:  Thuraya S Alsumai; Norah Alhazzaa; Abdullah Alshamrani; Sarah Assiri; Amal Alhefdhi
Journal:  Breast Cancer (Dove Med Press)       Date:  2022-10-11

10.  Tumor characteristics of breast cancer in predicting axillary lymph node metastasis.

Authors:  Hsin-Shun Tseng; Li-Sheng Chen; Shou-Jen Kuo; Shou-Tung Chen; Yu-Fen Wang; Dar-Ren Chen
Journal:  Med Sci Monit       Date:  2014-07-07
  10 in total

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