ArticleInternational journal of clinical and experimental pathology2023
Clinicopathologic characteristics of neuroendocrine tumors with assessment by digital image analysis for Ki-67 index with a focus on the gastroenteropancreatic tract: a single-center study.
Article in International journal of clinical and experimental pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- Multi-omic profiles of neuroendocrine neoplasms of the pancreas: an integrated landscape.Molecular cancer · 2026Review
- Survival Outcomes in Pancreatic Neuroendocrine Tumors: A Systematic Review and Meta-Analysis of Progression-Related Endpoints.Cancers · 2026Review
- Advances in the management of neuroendocrine tumours: Evidence from a systematic review.Biomedical reports · 2026Article
- Ki67 in cytological specimens of pancreatic neuroendocrine tumors: A literature review and validation of automated quantification.Journal of pathology informatics · 2025Article
- Prognostic Features in Surgically Resected Well-Differentiated Pancreatic Neuroendocrine Tumors: an Analysis of 904 Patients with 7882 Person-Years of Follow-Up.Endocrine pathology · 2025Article
- Digitally derived Ki-67 proliferation index for GastroEnteroPancreatic neuroendocrine neoplasms.Pathology oncology research : POR · 2025Article
- Everything you ever wanted to know about cancer stem cells in neuroendocrine neoplasms but were afraid to ask.Endocrine oncology (Bristol, England) · 2024Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesNeuroendocrine tumors (NETs) are a heterogeneous group of tumors that arise at various sites throughout the body. The gastroenteropancreatic (GEP) tract is the most common site of NETs. We investigated the clinicopathologic features of patients with GEP-NETs and the utility of digital image analysis, which was compared to eyeball estimation, a conventional method used to determine the Ki-67 labeling index.
methodsThe clinicopathologic data of GEP-NET patients at Gangnam Severance Hospital from January 2008 to October 2019 were retrospectively analyzed. Each case was reclassified according to the 2019 World Health Organization classification system, to which the classification of grade 3 was added. Comparisons between eyeball estimation and the digital image analysis method for Ki-67 index assessment were performed by calculating Cohen's kappa (k) coefficient.
resultsIn total, 345 patients with GEP-NETs were enrolled. The mean age was 49.3 (range 13-79) years, with more male (61.1%) than female patients. The primary tumor sites were the rectum (70.1%), pancreas (12.5%), stomach (6.7%), and duodenum (5.8%). Overall, 298 (86.4%), 35 (10.1%), 2 (0.6%), and 10 (2.9%) patients exhibited grade 1, 2, and 3 and neuroendocrine carcinoma, respectively. Statistical analysis revealed that age > 50 years, tumor size > 2 cm, and presence of lymphovascular invasion, nodal metastasis, and distant metastasis were significantly associated with short overall survival. Additionally, 283 patients underwent digital image analysis of the Ki-67 index, and substantial agreement was found between the two methods (κ value: 0.765).
conclusionsEyeball estimation revealed non-inferior results compared with digital image analysis. Further research is needed to evaluate the possibility of using digital image analysis as an alternative analysis method.
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Identifiers
37818384PMC10560883W4387515998What OpenQuestion holds
Registered trials
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