ArticleScientific reports2024
Exploratory Analysis of Radiomics and Pathomics in Uterine Corpus Endometrial Carcinoma.
Article in Scientific reports, 2024. 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.
- Enhancing the preoperative differentiation of ameloblastoma and odontogenic keratocyst using pathomics-guided radiomics: a pilot study.BMC oral health · 2026Article
- A clinically translatable pathomics-based predictive model for preoperative prognostic assessment in patients with endometrial cancer.Discover oncology · 2026Article
- Digital Pathology-Based Comparison of PyRadiomics and HistomicsTK for Nuclei Classification in Melanoma Whole Slide Images.International journal of biomedical imaging · 2026Article
- Integrated Signature of Multiple Indices for Preoperative Predictive Stratification of Endometrial Hyperplasia Subtypes: A Retrospective Cohort Study.International journal of women's health · 2026Article
- Transvaginal ultrasound-detected endometrial echogenicity heterogeneity in diagnosing endometrial carcinoma: risk factors and nomogram-based prediction model.Frontiers in oncology · 2026Article
- Development and validation of a machine learning-based pathomics nomogram for prognostic prediction in endometrial cancer.Discover oncology · 2025Article
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5 authors.
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Abstract
Uterine corpus endometrial carcinoma (EC) is one of the most common malignancies in the female reproductive system, characterized by tumor heterogeneity at both radiological and pathological scales. Both radiomics and pathomics have the potential to assess this heterogeneity and support EC diagnosis. This study examines the correlation between radiomics features from Apparent Diffusion Coefficient (ADC) maps and post-contrast T1 (T1C) images with pathomic features from pathology images in 32 patients from the CPTAC-UCEC database. 91 radiomics features were extracted from ADC maps and T1C images, and 566 pathomic features from cell detections and cell density maps at four different resolutions. Spearman's correlation and Bayes Factor analysis were used to evaluate radio-pathomic correlations. Significant cross-scale correlations were found, with strengths ranging from 0.57 to 0.89 in absolute value (9.47 × 10
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