ArticleMedComm2026
Non-Invasive Assessment of Complete Regression in Endometrial Cancer Patients Undergoing Fertility Preservation Using MRI-Based Radiomics and Immune Heterogeneity.
Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- MRI-based radiomics interpretable model predicts microsatellite instability status in endometrioid adenocarcinoma.BMC medical imaging · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fertility-preserving treatment (FPT) offers a critical option for young women diagnosed with atypical endometrial hyperplasia (AEH) or early-stage endometrial cancer (EC), however, the commonly used methods for evaluating complete regression (CR) are invasive. This study aimed to develop a non-invasive tool to predict treatment outcomes using radiomics and molecular profiling. We retrospectively analyzed 146 patients with AEH or early EC receiving FPT. Radiomic features extracted from MRI were used to construct a radiomics signature predictive of CR through a machine-learning approach. A radiomics-clinical nomogram integrating radiomics scores with clinical variables demonstrated excellent predictive performance, with area under the curve values of 0.963 and 0.986 in the training and validation cohorts, respectively. Patients stratified into high- and low-score groups based on radiomics scores showed significantly different CR rates, with the high-score group exhibiting a lower likelihood of CR. Single-cell RNA sequencing further confirmed immune alterations in the high-score group, including reduced CD8
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