2009
DOI: 10.1016/j.ejso.2009.06.002
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Factors predicting the sentinel node metastases in T1 breast cancer tumor:An analysis of 1416 cases

Abstract: Factors predicting the sentinel node metastases in T1 breast cancer tumor: An analysis of 1416 cases AimTo determine the factors associated with the metastatic involvement of sentinel lymph node (SLN) biopsy in patients with early breast cancer. Study designThis was a retrospective study of patients with T1 invasive breast cancer who underwent SLN ConclusionIt appears reasonable to avoid axillary lymph node dissection in older patients with T1a tumors of good histopathological type and in the absence of lymph… Show more

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Cited by 41 publications
(36 citation statements)
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“…Malignant cells invade the lymphovascular space, proliferate, and then permeate the local lymphatics or spread more widely [38]. This association is not limited to bladder cancer, and has also been shown in other cancers [39][41]. In addition, LVI is an important prognostic factor in various malignancies such as liver, testis, and penile cancer.…”
Section: Discussionmentioning
confidence: 82%
“…Malignant cells invade the lymphovascular space, proliferate, and then permeate the local lymphatics or spread more widely [38]. This association is not limited to bladder cancer, and has also been shown in other cancers [39][41]. In addition, LVI is an important prognostic factor in various malignancies such as liver, testis, and penile cancer.…”
Section: Discussionmentioning
confidence: 82%
“…The rate of axillary lymph node metastases was reported to increase from 11–36% when the tumor size increased from 10–25 mm . Furthermore, previous studies have reported that pathological tumor size is an independent predictive factor for SLN metastasis …”
Section: Discussionmentioning
confidence: 97%
“…Among the factors identified are: age, tumour location, tumour size, tumour type, nuclear grade, lymphovascular invasion and multifocality. [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] The Breast Service of the Memorial Sloan-Kettering Cancer Center (MSKCC) developed a nomogram to assist in predicting the presence of SLN metastases in breast cancer. This nomogram is based on nine variables, identified by multivariable analysis on a dataset of 3786 patients, associated with SLN metastases: age, tumour size, tumour type, lymphovascular invasion, multifocality, nuclear grade, tumour location, oestrogen and progesterone receptor status.…”
Section: Introductionmentioning
confidence: 99%