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Items: 16

1.

Quantitative comparison and reproducibility of pathologist scoring and digital image analysis of estrogen receptor β2 immunohistochemistry in prostate cancer.

Rizzardi AE, Zhang X, Vogel RI, Kolb S, Geybels MS, Leung YK, Henriksen JC, Ho SM, Kwak J, Stanford JL, Schmechel SC.

Diagn Pathol. 2016 Jul 11;11(1):63. doi: 10.1186/s13000-016-0511-5.

2.

Epidermal growth factor receptor immunohistochemistry: new opportunities in metastatic colorectal cancer.

Hutchinson RA, Adams RA, McArt DG, Salto-Tellez M, Jasani B, Hamilton PW.

J Transl Med. 2015 Jul 7;13:217. doi: 10.1186/s12967-015-0531-z. Review.

3.

Comparative study between quantitative digital image analysis and fluorescence in situ hybridization of breast cancer equivocal human epidermal growth factor receptors 2 score 2(+) cases.

Ayad E, Mansy M, Elwi D, Salem M, Salama M, Kayser K.

J Pathol Inform. 2015 Jun 3;6:31. doi: 10.4103/2153-3539.158066. eCollection 2015.

4.

Whole slide imaging for human epidermal growth factor receptor 2 immunohistochemistry interpretation: Accuracy, Precision, and reproducibility studies for digital manual and paired glass slide manual interpretation.

Wilbur DC, Brachtel EF, Gilbertson JR, Jones NC, Vallone JG, Krishnamurthy S.

J Pathol Inform. 2015 May 28;6:22. doi: 10.4103/2153-3539.157788. eCollection 2015.

5.

Differences in estrogen and progesterone receptor expression in endometrial polyps and atrophic endometrium of postmenopausal women with and without exposure to tamoxifen.

Leão RB, Andrade L, Vassalo J, Antunes A Jr, Pinto-Neto A, Costa-Paiva L.

Mol Clin Oncol. 2013 Nov;1(6):1055-1060. Epub 2013 Sep 12.

6.

Automated Quantitative Analysis of p53, Cyclin D1, Ki67 and pERK Expression in Breast Carcinoma Does Not Differ from Expert Pathologist Scoring and Correlates with Clinico-Pathological Characteristics.

Cass JD, Varma S, Day AG, Sangrar W, Rajput AB, Raptis LH, Squire J, Madarnas Y, Sengupta SK, Elliott BE.

Cancers (Basel). 2012 Jul 18;4(3):725-42. doi: 10.3390/cancers4030725.

7.

Targeting the HGF/c-MET pathway in hepatocellular carcinoma.

Goyal L, Muzumdar MD, Zhu AX.

Clin Cancer Res. 2013 May 1;19(9):2310-8. doi: 10.1158/1078-0432.CCR-12-2791. Epub 2013 Feb 6. Review.

8.

Astronomical algorithms for automated analysis of tissue protein expression in breast cancer.

Ali HR, Irwin M, Morris L, Dawson SJ, Blows FM, Provenzano E, Mahler-Araujo B, Pharoah PD, Walton NA, Brenton JD, Caldas C.

Br J Cancer. 2013 Feb 19;108(3):602-12. doi: 10.1038/bjc.2012.558. Epub 2013 Jan 17.

9.

Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring.

Rizzardi AE, Johnson AT, Vogel RI, Pambuccian SE, Henriksen J, Skubitz AP, Metzger GJ, Schmechel SC.

Diagn Pathol. 2012 Jun 20;7:42. doi: 10.1186/1746-1596-7-42.

10.

Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.

Fiore C, Bailey D, Conlon N, Wu X, Martin N, Fiorentino M, Finn S, Fall K, Andersson SO, Andren O, Loda M, Flavin R.

J Clin Pathol. 2012 Jun;65(6):496-502. doi: 10.1136/jclinpath-2012-200734. Epub 2012 Mar 23.

11.

Practical implications of gene-expression-based assays for breast oncologists.

Prat A, Ellis MJ, Perou CM.

Nat Rev Clin Oncol. 2011 Dec 6;9(1):48-57. doi: 10.1038/nrclinonc.2011.178. Review.

12.
13.

Microarray-based class discovery for molecular classification of breast cancer: analysis of interobserver agreement.

Mackay A, Weigelt B, Grigoriadis A, Kreike B, Natrajan R, A'Hern R, Tan DS, Dowsett M, Ashworth A, Reis-Filho JS.

J Natl Cancer Inst. 2011 Apr 20;103(8):662-73. doi: 10.1093/jnci/djr071. Epub 2011 Mar 18.

14.

Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer.

Konsti J, Lundin M, Joensuu H, Lehtimäki T, Sihto H, Holli K, Turpeenniemi-Hujanen T, Kataja V, Sailas L, Isola J, Lundin J.

BMC Clin Pathol. 2011 Jan 25;11:3. doi: 10.1186/1472-6890-11-3.

15.
16.

Assessment of automated image analysis of breast cancer tissue microarrays for epidemiologic studies.

Bolton KL, Garcia-Closas M, Pfeiffer RM, Duggan MA, Howat WJ, Hewitt SM, Yang XR, Cornelison R, Anzick SL, Meltzer P, Davis S, Lenz P, Figueroa JD, Pharoah PD, Sherman ME.

Cancer Epidemiol Biomarkers Prev. 2010 Apr;19(4):992-9. doi: 10.1158/1055-9965.EPI-09-1023. Epub 2010 Mar 23.

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