|
1.
|
Goldhirsch A, Ingle JN, Gelber RD, Coates
AS, Thurlimann B and Senn HJ: Thresholds for therapies: highlights
of the St Gallen International Expert Consensus on the primary
therapy of early breast cancer 2009. Ann Oncol. 20:1319–1329. 2009.
View Article : Google Scholar : PubMed/NCBI
|
|
2.
|
Arihiro K, Umemura S, Kurosumi M, et al:
Comparison of evaluations for hormone receptors in breast carcinoma
using two manual and three automated immunohistochemical assays. Am
J Clin Pathol. 127:356–365. 2007. View Article : Google Scholar
|
|
3.
|
Oda M, Arihiro K, Kataoka T, Osaki A,
Asahara T and Ohdan H: Comparison of immunohistochemical assays and
reverse transcription real-time polymerase chain reaction for
analyzing status of hormone receptors in human breast carcinoma.
Pathol Int. 60:305–315. 2010. View Article : Google Scholar
|
|
4.
|
Bacus S, Flowers JL, Press MF, Bacus JW
and McCarty KS Jr: The evaluation of estrogen receptor in primary
breast carcinoma by computer-assisted image analysis. Am J Clin
Pathol. 90:233–239. 1988.PubMed/NCBI
|
|
5.
|
Rostagno P, Birtwisle I, Ettore F, et al:
Immunohistochemical determination of nuclear antigens by colour
image analysis: application for labelling index, estrogen and
progesterone receptor status in breast cancer. Anal Cell Pathol.
7:275–287. 1994.
|
|
6.
|
Layfield LJ, Saria EA, Conlon DH and Kerns
BJ: Estrogen and progesterone receptor status determined by the
Ventana ES 320 automated immunohistochemical stainer and the CAS
200 image analyzer in 236 early-stage breast carcinomas: prognostic
significance. J Surg Oncol. 61:177–184. 1996. View Article : Google Scholar
|
|
7.
|
Cohen C: Image cytometric analysis in
pathology. Hum Pathol. 27:482–493. 1996. View Article : Google Scholar
|
|
8.
|
Lehr HA, Mankoff DA, Corwin D, Santeusanio
G and Gown AM: Application of photoshop-based image analysis to
quantification of hormone receptor expression in breast cancer. J
Histochem Cytochem. 45:1559–1565. 1997. View Article : Google Scholar : PubMed/NCBI
|
|
9.
|
Bejar J, Sabo E, Misselevich I, Eldar S
and Boss JH: Comparative study of computer-assisted image analysis
and light-microscopically determined estrogen receptor status of
breast carcinomas. Arch Pathol Lab Med. 122:346–352. 1998.
|
|
10.
|
Mofidi R, Walsh R, Ridgway PF, et al:
Objective measurement of breast cancer oestrogen receptor status
through digital image analysis. Eur J Surg Oncol. 29:20–24. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
11.
|
Rothmann C, Barshack I, Gil A, Goldberg I,
Kopolovic J and Malik Z: Potential use of spectral image analysis
for the quantitative evaluation of estrogen receptors in breast
cancer. Histol Histopathol. 15:1051–1057. 2000.PubMed/NCBI
|
|
12.
|
Vesoulis Z, Rajappannair L, Define L,
Beach J, Schnell B and Myers S: Quantitative image analysis of
estrogen receptors in breast fine needle aspiration biopsies. Anal
Quant Cytol Histol. 26:323–330. 2004.PubMed/NCBI
|
|
13.
|
Fisher ER, Anderson S, Dean S, et al:
Solving the dilemma of the immunohistochemical and other methods
used for scoring estrogen receptor and progesterone receptor in
patients with invasive breast carcinoma. Cancer. 103:164–173. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
14.
|
Gokhale S, Rosen D, Sneige N, et al:
Assessment of two automated imaging systems in evaluating estrogen
receptor status in breast carcinoma. Appl Immunohistochem Mol
Morphol. 15:451–455. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
15.
|
Hatanaka Y, Hashizume K, Nitta K, Kato T,
Itoh I and Tani Y: Cytometrical image analysis for
immunohistochemical hormone receptor status in breast carcinomas.
Pathol Int. 53:693–699. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
16.
|
Diaz LK, Sahin A and Sneige N:
Interobserver agreement for estrogen receptor immunohistochemical
analysis in breast cancer: a comparison of manual and
computer-assisted scoring methods. Ann Diagn Pathol. 8:23–27. 2004.
View Article : Google Scholar
|
|
17.
|
Sharangpani GM, Joshi AS, Porter K, et al:
Semi-automated imaging system to quantitate estrogen and
progesterone receptor immunoreactivity in human breast cancer. J
Microsc. 226:244–255. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
18.
|
Chung GG, Zerkowski MP, Ghosh S, Camp RL
and Rimm DL: Quantitative analysis of estrogen receptor
heterogeneity in breast cancer. Lab Invest. 87:662–669. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
19.
|
Turbin DA, Leung S, Cheang MC, et al:
Automated quantitative analysis of estrogen receptor expression in
breast carcinoma does not differ from expert pathologist scoring: a
tissue microarray study of 3,484 cases. Breast Cancer Res Treat.
110:417–426. 2008. View Article : Google Scholar
|
|
20.
|
Rexhepaj E, Brennan DJ, Holloway P, et al:
Novel image analysis approach for quantifying expression of nuclear
proteins assessed by immunohistochemistry: application to
measurement of oestrogen and progesterone receptor levels in breast
cancer. Breast Cancer Res. 10:R892008. View
Article : Google Scholar
|
|
21.
|
Allred DC, Harvey JM, Berardo M and Clark
GM: Prognostic and predictive factors in breast cancer by
immunohistochemical analysis. Mod Pathol. 11:155–168.
1998.PubMed/NCBI
|
|
22.
|
Umemura S, Kurosumi M, Moriya T, et al:
Immunohistochemical evaluation for hormone receptors in breast
cancer: a practically useful evaluation system and handling
protocol. Breast Cancer. 13:232–235. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
23.
|
Goldhirsch A, Glick JH, Gelber RD, Coates
AS, Thurlimann B and Senn HJ: Meeting highlights: international
expert consensus on the primary therapy of early breast cancer
2005. Ann Oncol. 16:1569–1583. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
24.
|
Kaplan PA, Frazier SR, Loy TS, Diaz-Arias
AA, Bradley K and Bickel JT: 1D5 and 6F11: an immunohistochemical
comparison of two monoclonal antibodies for the evaluation of
estrogen receptor status in primary breast carcinoma. Am J Clin
Pathol. 123:276–280. 2005. View Article : Google Scholar
|
|
25.
|
Goulding H, Pinder S, Cannon P, et al: A
new immunohistochemical antibody for the assessment of estrogen
receptor status on routine formalin-fixed tissue samples. Hum
Pathol. 26:291–294. 1995. View Article : Google Scholar : PubMed/NCBI
|
|
26.
|
Shousha S: Oestrogen receptor status of
breast carcinoma: Allred/H score conversion table. Histopathology.
53:346–347. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
27.
|
Sapino A, Cassoni P, Ferrero E, et al:
Estrogen receptor alpha is a novel marker expressed by follicular
dendritic cells in lymph nodes and tumor-associated lymphoid
infiltrates. Am J Pathol. 163:1313–1320. 2003. View Article : Google Scholar
|
|
28.
|
Kim R, Kaneko M, Arihiro K, et al:
Extranuclear expression of hormone receptors in primary breast
cancer. Ann Oncol. 17:1213–1220. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
29.
|
Kostopoulos S, Glotsos D, Cavouras D, et
al: Computer-based association of the texture of expressed estrogen
receptor nuclei with histologic grade using
immunohistochemically-stained breast carcinomas. Anal Quant Cytol
Histol. 31:187–196. 2009.
|
|
30.
|
Taylor CR and Levenson RM: Quantification
of immunohistochemistry – issues concerning methods, utility and
semiquantitative assessment II. Histopathology. 49:411–424.
2006.
|
