Diagnostic Value of ADC in Distinguishing Endometrial Cancer from Atypical Endometrial Hyperplasia and Within Molecular Subtypes
Endometrial hyperplasia
Value (mathematics)
DOI:
10.2147/ijwh.s501413
Publication Date:
2025-02-19T06:15:12Z
AUTHORS (7)
ABSTRACT
The study aimed to evaluate the effectiveness of using specific indicators, particularly apparent diffusion coefficient (ADC), alone or in combination differentiate endometrial cancer (EC) from atypical hyperplasia (AEH) and explore non-invasive biomarkers for molecular classification EC. A retrospective analysis was conducted on 300 EC 126 AEH cases who had undergone preoperative magnetic resonance imaging, complete blood count, coagulation profile testing, tumor assessment. Postoperative 76 samples. Diagnostic values were assessed receiver operating characteristic (ROC) binary logistic regression with forward selection determine optimal indicator combinations. Furthermore, this evaluated variability parameters across subtypes. ADC effectively balanced sensitivity specificity differentiating AEH. An diagnostic model including age, fibrinogen, achieved area under curve (AUC) 0.9143, 84.67% 88.89% specificity. found be lower that exhibited a higher Ki-67 index histological grade. Notably, NSMP subtype presented significantly compared other three p53abn highest prevalence abnormal HE4 levels patients aged ≥65 (both 6/12, 50%) yet normal CA125 CA19-9 levels. This demonstrated ADC, especially when combined age is valuable biomarker distinguishing In addition indicating grade, also serve as promising tool identifying within Future studies should focus multi-center, prospective larger sample sizes validate refine value AEH, well
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