| Literature DB >> 31630876 |
Benjamin Dessauvagie1, Anitha Thomas2, Carla Thomas3, Cleo Robinson3, Marais Combrink3, Vanitha Budhavaram4, Bindu Kunjuraman4, Katie Meehan5, Greg Sterrett6, Jennet Harvey6.
Abstract
Invasive lobular carcinoma (ILC) is almost always classified as Nottingham histological grade 2. Despite this, prognosis is markedly varied, with some ILCs behaving more akin to grade 3 invasive ductal carcinoma (IDC). Methods to separate these aggressive ILCs are needed. Digital image analysis (DIA) of the Ki-67 biomarker has potential in this regard; thus, we sought to determine the feasibility of its use for automated evaluation of ILC. An initial pilot study demonstrated no ILC specific changes were required to our Ki-67 DIA algorithm for reproducible results. Subsequently, 42 consecutive cases of ILC were evaluated by visual mitosis counting in H&E stained sections and by DIA on Ki-67 stained sections. Ki-67 proliferative index (PI) DIA showed significant correlation with visual mitosis counting on H&E stained sections (rs=0.63; p<0.05), significant strong correlation (rs=0.78; p<0.05) and substantial agreement (κ=0.62) with manual/visual Ki-67 assessment and significant positive associations with grade, nodal status and 'pleomorphic' ILC subtype, and a wide stratification of values in classical/grade 2 ILC. In conclusion, DIA of Ki-67 PI in ILC is feasible, correlates with mitotic index, manual/visual Ki-67 PI and clinico-pathological variables. The broad stratification of Ki-67 PI in classical/grade 2 ILC supports its practicability as a biomarker with prognostic and predictive potential, although large studies with outcome data are required for validation. CrownEntities:
Keywords: Breast neoplasms; cell proliferation; computer assisted diagnosis; image processing
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Year: 2019 PMID: 31630876 DOI: 10.1016/j.pathol.2019.08.004
Source DB: PubMed Journal: Pathology ISSN: 0031-3025 Impact factor: 5.306