The Journal of Practical Medicine ›› 2023, Vol. 39 ›› Issue (23): 3071-3075.doi: 10.3969/j.issn.1006-5725.2023.23.008

• Clinical Research • Previous Articles     Next Articles

Prediction value of tumor volume to uterine volume ratio combined with tumor ADC value in pathological grading of endometrial carcinoma

Peipei LIN,Xiaodong ZHOU(),Wei. SONG   

  1. Department of Radiology,Affiliated Maternity and Child Health Care Hospital of Nantong University,Nantong 226018,China
  • Received:2023-07-19 Online:2023-12-10 Published:2024-01-08
  • Contact: Xiaodong ZHOU E-mail:chou8687@163.com

Abstract:

Objective To investigate the value of tumor volume to uterine volume ratio (N/U) combined with tumor apparent diffusion coefficient (ADC) in predicting the pathological grade of endometrial carcinoma (EC). Methods Data of 107 patients with EC admitted from July 2020 to January 2023 were retrospectively analyzed. All patients underwent preoperative magnetic resonance imaging (MRI), and pathological diagnosis was used as the gold standard. Patients with low differentiation were included in the high grade group, and patients with medium and high differentiation were included in the low grade group. The factors affecting the pathological grading of EC patients were analyzed, and the value of MRI index in predicting the pathological grading of EC patients was analyzed. Results The pathological examination showed that there were 24 high-grade patients and 83 low-grade patients.. Logistic multivariate regression analysis showed that N/U, ADC, rADC internal obturator muscle were factors affecting the pathological grade of EC patients ( P < 0.05). ROC curve results showed that the sensitivity of N/U, ADC, rADC internus obturator muscle and their combination to predict the pathological grading of EC patients were 70.83%, 75.00%, 79.17%, 83.33%, the specificity were 71.08%, 79.52%, 78.31%, 85.54%, and the AUC were 0.734, 0.756, 0.741 and 0.891. Conclusion The combination of N/U, ADC, rADC and obturator internal muscle was effective in predicting the preoperative pathological grading of EC patients.

Key words: endometrial cancer, pathological grade, ratio of tumor volume to uterine volume, magnetic resonance apparent diffusion coefficient, value

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