Abstract
Background: Scoring of immunohistochemistry (IHC) staining is often done by non-pathologists, especially in large-scale tissue microarray (TMA)-based studies. Studies on the validity and reproducibility of scoring results from non-pathologists are limited. Therefore, our main aim was to assess interobserver agreement between trained non-pathologists and an experienced histopathologist for three IHC markers with different subcellular localization (nucleus/membrane/cytoplasm).Methods: Three non-pathologists were trained in recognizing adenocarcinoma and IHC scoring by a senior histopathologist. Kappa statistics were used to analyze interobserver and intraobserver agreement for 6,249 TMA cores from a colorectal cancer series.Results: Interobserver agreement between non-pathologists (independently scored) and the histopathologist was "substantial" for nuclear and membranous IHC markers (kappa(range) = 0.67-0.75 and kappa(range) = 0.61-0.69, respectively), and "moderate" for the cytoplasmic IHC marker (k(range) = 0.43-0.57). Scores of the three non-pathologists were also combined into a "combination score" (if at least two non-pathologists independently assigned the same score to a core, this was the combination score). This increased agreement with the pathologist (kappa(nuclear) = 0.74; kappa(membranous) = 0.73; kappa(cytopasmic) = 0.57). Interobserver agreement between nonpathologists was "substantial" (kappa(nuclear) = 0.78; kappa(membranous) = 0.72; kappa(cytopasmic) = 0.61). Intraobserver agreement of non-pathologists was "substantial" to "almost perfect" (kappa(nuclear), (range) = 0.83-0.87; kappa(membranous), range = 0.75-0.82; kappa(cytopasmic) = 0.69). Overall, agreement was lowest for the cytoplasmic IHC marker.Conclusions: This study shows that adequately trained nonpathologists are able to generate reproducible IHC scoring results, that are similar to those of an experienced histopathologist. A combination score of at least two non-pathologists yielded optimal results.Impact: Non-pathologists can generate reproducible IHC results after appropriate training, making analyses of large-scale molecular pathological epidemiology studies feasible within an acceptable time frame.
Original language | English |
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Pages (from-to) | 1867-1874 |
Number of pages | 8 |
Journal | Cancer Epidemiology Biomarkers & Prevention |
Volume | 30 |
Issue number | 10 |
DOIs | |
Publication status | Published - 1 Oct 2021 |
Keywords
- PROTEIN EXPRESSION
- IMAGE-ANALYSIS
- VALIDATION
- CANCER
- TECHNOLOGY
- P53
- MARKERS
- KAPPA
- COEFFICIENT
- CARCINOMA