Determination of grade and receptor status from the primary breast lesion by magnetic resonance spectroscopy

被引：31

作者：

Lean, C

Doran, S

Somorjai, RL

Malycha, P

Clarke, D

Himmelreich, U

Bourne, R

Dolenko, B

Nikulin, AE

Mountford, C ^{[1
]}

机构：

[1] Univ Sydney, Inst Magnet Resonance Res, Dept Magnet Resonance Med, Sydney, NSW 2006, Australia

[2] Natl Res Council Canada, Inst Biodiagnost, Winnipeg, MB R3B 1Y6, Canada

[3] Univ Adelaide, Royal Adelaide Hosp, Dept Surg, Adelaide, SA 5000, Australia

[4] Breast Ctr, Gateshead, NSW 2290, Australia

来源：

TECHNOLOGY IN CANCER RESEARCH & TREATMENT | 2004年 / 3卷 / 06期

关键词：

breast neoplasms; fine needle aspiration spectroscopy (FNAS); tumor grade; receptor status; magnetic resonance; statistical analysis;

D O I：

10.1177/153303460400300604

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Magnetic resonance spectra (MRS) from fine needle aspiration biopsies (FNAB) from primary breast lesions were analysed using a pattern recognition method, Statistical Classification Strategy, to assess tumor grade and oestrogen receptor (ER) and progesterone receptor (PgR) status. Grade 1 and 2 breast cancers were separated from grade 3 cancers with a sensitivity and specificity of 96% and 95%, respectively. The ER status was predicted with a sensitivity of 91% and a specificity of 90%, and the PgR status with a sensitivity of 91% and a specificity of 86%. These classifiers provide rapid and reliable, computerized information and may offer an objective method for determining these prognostic indicators simultaneously with the diagnosis of primary pathology and lymph node involvement.

引用

页码：551 / 556

页数：6

共 31 条

[1]

*AUST CANC NETW WO, 2001, PATH REP BREAST CANC

[2] Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases [J].