Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer.

scientific article published on 5 February 2018

Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.18632/ONCOTARGET.24398
P932PMC publication ID5837769
P698PubMed publication ID29545924

P50authorJoe YeongQ57368883
P2093author name stringPuay Hoon Tan
Hui Hua Li
Jabed Iqbal
Ana Richelia Jara-Lazaro
Aye Aye Thike
Nirmala Pathmanathan
Chee Leong Cheng
Jeffrey Chun Tatt Lim
Jane Sie Yong Tan
Valerie Cui Yun Koh
Timothy Kwang Yong Tay
Zi Long Chow
Adeline Shi Hui Sng
Heng Seow Ye
P2860cites workDigital image analysis outperforms manual biomarker assessment in breast cancer.Q39967968
Comparison of the effect of different techniques for measurement of Ki67 proliferation on reproducibility and prognosis prediction accuracy in breast cancerQ40061893
The region-of-interest size impacts on Ki67 quantification by computer-assisted image analysis in breast cancer.Q40299367
Comparison of visual assessment and image analysis in the evaluation of Ki-67 expression and their prognostic significance in immunohistochemically defined luminal breast carcinomaQ40626929
St Gallen 2015 subtyping of luminal breast cancers: impact of different Ki67-based proliferation assessment methodsQ48511251
Prognostic value of Ki-67 labeling index in patients with node-negative, triple-negative breast cancer.Q54519817
Ki-67 immunostaining in node-negative stage I/II breast carcinoma. Significant correlation with prognosisQ68243639
Inter-laboratory and inter-observer reproducibility of immunohistochemical assessment of the Ki-67 labelling index in a large multi-centre trialQ78359789
Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013Q30543788
Power of PgR expression as a prognostic factor for ER-positive/HER2-negative breast cancer patients at intermediate risk classified by the Ki67 labeling indexQ33717341
A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissueQ33739487
The role of Ki-67 in the proliferation and prognosis of breast cancer molecular classification subtypesQ34171441
Evaluation of Ki67 expression across distinct categories of breast cancer specimens: a population-based study of matched surgical specimens, core needle biopsies and tissue microarraysQ34466187
Proliferative activity in human breast cancer: Ki-67 automated evaluation and the influence of different Ki-67 equivalent antibodiesQ34775344
Strategies for subtypes--dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011Q35130819
Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective StudyQ35692692
Advantages of adjuvant chemotherapy for patients with triple-negative breast cancer at Stage II: usefulness of prognostic markers E-cadherin and Ki67.Q35889626
Prognostic impact of discrepant Ki67 and mitotic index on hormone receptor-positive, HER2-negative breast carcinomaQ36295045
Prognostic value of proliferation assay in the luminal, HER2-positive, and triple-negative biologic classes of breast cancerQ36393082
Ki67 immunostaining in primary breast cancer: pathological and clinical associationsQ36466510
Prognostic significance of progesterone receptor-positive tumor cells within immunohistochemically defined luminal A breast cancerQ36494250
Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registryQ36892788
Optimal Ki67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-upQ36922535
Prognostic value of automated KI67 scoring in breast cancer: a centralised evaluation of 8088 patients from 10 study groupsQ37350137
Tissue microarray technique in evaluation of proliferative activity in invasive ductal breast cancerQ38404863
P433issue14
P407language of work or nameEnglishQ1860
P304page(s)11619-11630
P577publication date2018-02-05
P1433published inOncotargetQ1573155
P1476titleUsing computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
P478volume9

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Q92010574Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapycites workP2860

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