ArticleChinese medical journal2019
Automated quantification of Ki-67 index associates with pathologic grade of pulmonary neuroendocrine tumors.
Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- ATR inhibition induces NF-κB-dependent immunogenicity in Merkel cell carcinoma independent of cGAS-STING.NPJ precision oncology · 2026Article
- Three-Tier Prognostic Stratification of Lung Carcinoids (NET G1-G2-G3) by Multivariable, Data-Driven Integration of Ki-67 and Mitotic Count.Endocrine pathology · 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
- Intracranial neuroendocrine carcinoma with coexisting pituitary adenoma: a case report and comprehensive literature review.Frontiers in oncology · 2025Article
- Small Cell Lung Carcinoma Cells Depend on KIF11 for Survival.International journal of molecular sciences · 2024Article
- Predictive Value of KJournal of neurological surgery. Part B, Skull base · 2023Article
- Use of Novel Open-Source Deep Learning Platform for Quantification of Ki-67 in Neuroendocrine Tumors - Analytical Validation.International journal of general medicine · 2023Article
- The Quest for an Accurate Functional Tumor Volume withJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Endoscopic ultrasound-guided side-fenestrated needle biopsy sampling is sensitive for pancreatic neuroendocrine tumors but inadequate for tumor grading: a prospective study.Scientific reports · 2022Article
- Article
- Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022Article
- Ki-67 Proliferation Index Assessment in Gastroenteropancreatic Neuroendocrine Tumors by Digital Image Analysis With Stringent Case and Hotspot Level Concordance Requirements.American journal of clinical pathology · 2021Article
- Synergistic alterations in the multilevel chromatin structure anchor dysregulated genes in small cell lung cancer.Computational and structural biotechnology journal · 2021Article
- CHALLENGES OF AN OVARIAN NEUROENDOCRINE METASTASIS OF ADVANCED SMALL-CELL LUNG CARCINOMA - LITERATURE REVIEW AND CASE REPORT.Acta endocrinologica (Bucharest, Romania : 2005)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClassification of the pulmonary neuroendocrine tumor (pNET) categories is a step-wise process identified by the presence of necrosis and number of mitoses per 2 mm. In neuroendocrine tumor pathology, Ki-67 was first described as a prognostic factor in the pancreas and incorporated into the grading system of digestive tract neuroendocrine neoplasms in the 2010 WHO classification. However, the significance of Ki-67 in pNETs was still a controversial issue. This study was to investigate the potentially diagnostic value of Ki-67 in pNETs.
methodsWe retrieved 159 surgical specimens of pNETs, including 35 typical carcinoids (TCs), 2 atypical carcinoid (ACs), 28 large-cell neuroendocrine carcinomas (LCNECs), 94 small-cell lung cancers (SCLCs). Manual conventional method (MCM) and computer-assisted image analysis method (CIAM) were used to calculate the Ki-67 proliferative index. In CIAM, 6 equivalent fields (500 × 500 μm) at 10× magnification were manually annotated for digital image analysis.
resultsThe Ki-67 index among the 4 groups with ranges of 0.38% to 12.66% for TC, 4.34% to 29.48% for AC, 30.67% to 93.74% for LCNEC, and 40.71% to 96.87% for SCLC. The cutoff value of Ki-67 index to distinguish low grade with high grade was 30.07%. For the univariate survival analyses in pNETs, both the overall survival and progression-free survival correlated with Ki-67 index. In addition, the Ki-67 index performed by CIAM was proved to be of great positive correlation with MCM.
conclusionsKi-67 index counted by CIAM is a reliable method and can be a useful adjunct to classify the low- and high-grade NETs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.