ReviewFrontiers in oncology2022
The evolving role of morphology in endometrial cancer diagnostics: From histopathology and molecular testing towards integrative data analysis by deep learning.
Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
- Article
- AI-assisted histomorphological stratification of endometrial cancer: real-world validation of foundation models for molecular subtyping.NPJ precision oncology · 2026Article
- Advances in endometrial cancer screening: a comprehensive review of current methods and emerging technologies.International journal of clinical oncology · 2026Review
- Mutation detection in women diagnosed with endometrial cancer: a next-generation sequencing analysis.Molecular & cellular oncology · 2026Article
- Navigating the future of fertility preservation: advanced predictive strategies for treatment outcomes of endometrial atypical hyperplasia and carcinoma.Journal of gynecologic oncology · 2025Review
- Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer.NPJ precision oncology · 2025Article
- MMRNet: Ensemble deep learning models for predicting mismatch repair deficiency in endometrial cancer from histopathological images.Cell reports. Medicine · 2025Article
- Review
- Prognostic factors and survival outcomes of immunohistochemically detection based-molecular subtypes of endometrial cancer-analysis of 576 clinical cases.Diagnostic pathology · 2024Article
- Deep Learning for Grading Endometrial Cancer.The American journal of pathology · 2024Article
- It is time to implement molecular classification in endometrial cancer.Archives of gynecology and obstetrics · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endometrial cancer (EC) diagnostics is evolving into a system in which molecular aspects are increasingly important. The traditional histological subtype-driven classification has shifted to a molecular-based classification that stratifies EC into
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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.