Literature DB >> 1991279

Staging and follow-up of breast cancer patients.

D W Kinne1.   

Abstract

Staging systems for breast cancer, unlike those of neoplasms in distant or recessed sites, allowed for the early development of clinical staging evaluation. It was established that clinical assessment of the breast lesion was often wrong compared with the pathologic examination (benign vs. malignant); clinical measurement of the tumor in centimeters was often larger than histologic size; and clinical assessment of axillary nodes (clear or metastatic) was incorrect in about 30% of cases. Although both clinical and pathologic staging provide effective discriminants for prognosis of treated patients, prognosis is more accurately determined by the pathologic stage. The single most important prognostic indicator is the axillary nodal status, and when positive, the number of positive nodes. The American Joint Committee on Cancer and the Union International Contra Cancer have agreed on a TNM staging for breast carcinoma, and this is the preferable staging system. Follow-up of treated patients is of most value in detecting local recurrence on the chest wall (after mastectomy) or in the irradiated breast (after lumpectomy), and also in early detection of contralateral breast cancer. Physical examination and periodic mammography are most useful. There is a tendency to overinvestigate asymptomatic patients (with bone scans, blood tests, etc.), but this has been correctly criticized in recent years.

Entities:  

Mesh:

Year:  1991        PMID: 1991279     DOI: 10.1002/1097-0142(19910215)67:4+<1196::aid-cncr2820671515>3.0.co;2-4

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  3 in total

1.  Alterations of p16-pRb pathway and chromosome locus 9p21-22 in sporadic invasive breast carcinomas.

Authors:  V G Gorgoulis; E N Koutroumbi; A Kotsinas; P Zacharatos; C Markopoulos; L Giannikos; V Kyriakou; Z Voulgaris; I Gogas; C Kittas
Journal:  Mol Med       Date:  1998-12       Impact factor: 6.354

2.  Estimating propensity scores and causal survival functions using prevalent survival data.

Authors:  Yu-Jen Cheng; Mei-Cheng Wang
Journal:  Biometrics       Date:  2012-07-26       Impact factor: 2.571

3.  Staging Investigations in Breast Cancer: Collective Opinion of UK Breast Surgeons.

Authors:  N Chand; R I Cutress; R S Oeppen; A Agrawal
Journal:  Int J Breast Cancer       Date:  2013-11-20
  3 in total

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