ArticleHead & neck2021
Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma.
Article in Head & neck, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Tumor-Stroma Ratio in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.Oral diseases · 2025Pooled it
- The Prognostic Role of Tumor-Stroma Ratio in Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2025Pooled it
- Pooled it
- Tumor Budding and Poor Prognosis in Oral Cancer: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2023Pooled it
- Motivation for Smoking Cessation in Patients With Oral Squamous Cell Carcinoma-A One-Time Survey.Clinical and experimental dental research · 2025Article
- Predictive value of tumor budding in head and neck squamous cell carcinoma: an update.Virchows Archiv : an international journal of pathology · 2023Review
- Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- Multiperspective quantitative tumor-stroma ratio reveals histological areas associated with poor outcomes in oral squamous cell carcinoma.Cancer medicine · 2023Article
- Review
- Review
- Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma.Head & neck · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study aimed to evaluate the risk factors based on pathological findings comprehensively in oral squamous cell carcinoma (OSCC) using image analysis.
methodsScanned images of hematoxylin and eosin-, pan-cytokeratin-, CD3-, and CD8-stained slides of OSCC cases from 256 patients were analyzed, and six variables were obtained including the tumor-stroma ratio, tumor budding per tumor bed area, and tumor infiltrating lymphocytes-associated variables. We determined the "score" of all cases based on the variables, and all cases were classified into low-, intermediate-, and high-risk groups.
resultsA significant difference in prognosis was confirmed between the risk groups (p < 0.001), and even when evaluated within different tumor-node-metastasis (TNM) stages, the high-risk groups were associated with poor survival.
conclusionsWe report our work on a possible descriptive model that can predict prognosis based on pathological and imaging findings regardless of the TNM stage.
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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.