ArticleHistopathology2022
Diagnostic variability in the histopathological assessment of advanced colorectal adenomas and early colorectal cancer in a screening population.
Article in Histopathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 43 citations in OpenAlex.
- Interobserver variability of histopathological assessment in pT1 colorectal carcinoma.Histopathology · 2026Article
- A novel artificial intelligence approach to the prediction of lymph node metastasis using whole-slide imaging in patients with T1 colorectal cancer.Surgical endoscopy · 2025Article
- Advances in Hereditary Colorectal Cancer: How Precision Medicine Is Changing the Game.Cancers · 2025Review
- A joint photoacoustic imaging and broadband spectral analysis for early-stage intraoperative pathology assessment: A case study with colorectal cancer.Photoacoustics · 2025Article
- Deep learning model for detecting high-grade dysplasia in colorectal adenomas.Journal of pathology informatics · 2025Article
- Is it time to acknowledge intramucosal colorectal carcinoma?Histopathology · 2025Article
- Performance analysis of Leica Biosystems p16 monoclonal antibody in oropharyngeal squamous cell carcinoma.Diagnostic pathology · 2025Article
- Caspase-4 Has Potential Utility as a Colorectal Tissue Biomarker for Dysplasia and Early-Stage Cancer.Gastro hep advances · 2025Article
- Detection and characterization of colorectal cancer by autofluorescence lifetime imaging on surgical specimens.Scientific reports · 2024Article
- Quantitative analysis of trabecular bone tissue cryosections via a fully automated neural network-based approach.PloS one · 2024Article
- Review
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- Laboratory variation in the grading of dysplasia of duodenal adenomas in familial adenomatous polyposis patients.Familial cancer · 2023Article
- Long-term oncological outcomes after local excision of T1 rectal cancer.Techniques in coloproctology · 2023Article
- Using an anomaly detection approach for the segmentation of colorectal cancer tumors in whole slide images.Journal of pathology informatics · 2023Article
- Diagnostic variability in the histopathological assessment of advanced colorectal adenomas and early colorectal cancer in a screening population.Histopathology · 2022Article
- Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- High-MannoseCancers · 2022Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe aim of this study was to evaluate interobserver variability between individual pathologists and a panel of pathologists in the histopathological assessment of advanced colorectal neoplasms in the Dutch bowel cancer screening population. METHODS AND
resultsHistological slides of adenomas with high-grade dysplasia and early colorectal carcinomas (CRC) from 20 different laboratories were reviewed by the pathology panel of the Dutch bowel screening programme. Interobserver variability was reported by descriptive statistics. In addition, potential clinical consequences of discrepancies were evaluated. A total of 104 cases of adenomas with high-grade dysplasia and 83 early CRCs were reviewed. Discrepancies were observed in 41 of 104 (39.4%) adenoma cases, which potentially had clinical consequences in 16 (15.4%) cases. For CRC, discrepancies were shown in 44 of 83 cases (53.0%) and would have potentially led to alternative treatment strategies in 25 (30.1%) cases. Most frequently, discrepancies were observed in the assessment of lymphovascular invasion (23 of 73 cases, 31.5%).
conclusionThis study showed that considerable interobserver variability is present in the histopathological assessment of advanced colorectal neoplasia, which may impact upon treatment choices. Additional stains and education, as well as intercollegial consultation, might decrease this variability.
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