The Journal of Practical Medicine >

2023 , Vol. 39 >Issue 23: 3071 - 3075

DOI: https://doi.org/10.3969/j.issn.1006-5725.2023.23.008

Clinical Research

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
Expand
  • Department of Radiology，Affiliated Maternity and Child Health Care Hospital of Nantong University，Nantong 226018，China

Received date: 2023-07-19

  Online published: 2024-01-08

Fold

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

Cite this article

Peipei LIN , Xiaodong ZHOU , Wei. SONG . Prediction value of tumor volume to uterine volume ratio combined with tumor ADC value in pathological grading of endometrial carcinoma[J]. The Journal of Practical Medicine, 2023 , 39(23) : 3071 -3075 . DOI: 10.3969/j.issn.1006-5725.2023.23.008

References

1 CROSBIE E J， KITSON S J， MCALPINE J N， et al. Endometrial cancer［J］. Lancet， 2022， 399（ 10333）： 1412- 1428.
2 MITRIC C， BERNARDINI M Q. Endometrial Cancer： Transitioning from Histology to Genomics［J］. Curr Oncol， 2022， 29（ 2）： 741- 757.
3 HARKENRIDER M M， ABU-RUSTUM N， ALBUQUERQUE K， et al. Radiation Therapy for Endometrial Cancer： An American Society for Radiation Oncology Clinical Practice Guideline［J］. Pract Radiat Oncol， 2023， 13（ 1）： 41- 65.
4 MAHDI H， CHELARIU-RAICU A， SLOMOVITZ B M. Immunotherapy in endometrial cancer［J］. Int J Gynecol Cancer， 2023， 33（ 3）： 351- 357.
5 LEFEBVRE T L， UENO Y， DOHAN A， et al. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer［J］. Radiology， 2022， 305（ 2）： 375- 386.
6 KELES D K， EVRIMLER S， MERD N， et al. Endometrial cancer： the role of MRI quantitative assessment in preoperative staging and risk stratification［J］. Acta Radiol， 2022， 63（ 8）： 1126- 1133.
7 MAHESHWARI E， NOUGARET S， STEIN E B， et al. Update on MRI in Evaluation and Treatment of Endometrial Cancer［J］. Radiographics， 2022， 42（ 7）： 2112- 2130.
8 FASMER K E， HODNELAND E， DYBVIK J A， et al. Whole-Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer［J］. J Magn Reson Imaging， 2021， 53（ 3）： 928- 937.
9 中国抗癌协会妇科肿瘤专业委员会. 子宫内膜癌诊断与治疗指南（2021年版）［J］. 中国癌症杂志， 2021， 31（ 6）： 501- 512.
10 KASIUS J C， PIJNENBORG J M A， LINDEMANN K， et al. Risk Stratification of Endometrial Cancer Patients： FIGO Stage， Biomarkers and Molecular Classification［J］. Cancers （Basel）， 2021， 13（ 22）： 5848.
11 NEES L K， HEUBLEIN S， STEINMACHER S， et al. Endometrial hyperplasia as a risk factor of endometrial cancer［J］. Arch Gynecol Obstet， 2022， 306（ 2）： 407- 421.
12 KAKO T D， KAMAL M Z， DHOLAKIA J， et al. High-intermediate risk endometrial cancer： moving toward a molecularly based risk assessment profile［J］. Int J Clin Oncol， 2022， 27（ 2）： 323- 331.
13 王赛凤， 史蔚， 谢咸晶. RNA结合基序5基因敲除子宫内膜癌细胞系及其作用研究［J］. 实用医学杂志， 2022， 38（ 10）： 1203- 1207.
14 李松， 董莉丽， 孙丽， 等. 微小RNA-191通过靶向调节TET1影响子宫内膜癌细胞的增殖和侵袭［J］. 实用医学杂志， 2021， 37（ 8）： 1014- 1018.
15 ESKANDER R N， SILL M W， BEFFA L， et al. Pembrolizumab plus Chemotherapy in Advanced Endometrial Cancer［J］. N Engl J Med， 2023， 388（ 23）： 2159- 2170.
16 MAHDI H， CHELARIU-RAICU A， SLOMOVITZ B M. Immunotherapy in endometrial cancer［J］. Int J Gynecol Cancer， 2023， 33（ 3）： 351- 357.
17 BEREK J S， MATIAS-GUIU X， CREUTZBERG C， et al. FIGO staging of endometrial cancer： 2023［J］. Int J Gynaecol Obstet， 2023， 162（ 2）： 383- 394.
18 HARKENRIDER M M， ABU-RUSTUM N， ALBUQUERQUE K， et al. Radiation Therapy for Endometrial Cancer： An American Society for Radiation Oncology Clinical Practice Guideline［J］. Pract Radiat Oncol， 2023， 13（ 1）： 41- 65.
19 任杰， 金延方， 崔婷婷， 等. MRI对子宫内膜癌组织学分级的价值研究［J］. 肿瘤代谢与营养电子杂志， 2022， 9（ 1）： 84- 88.
20 MA X， REN X， MA F， et al. Volumetric apparent diffusion coefficient （ADC） histogram metrics as imaging biomarkers for pretreatment predicting response to fertility-sparing treatment in patients with endometrial cancer［J］. Gynecol Oncol， 2022， 165（ 3）： 594- 602.
21 KAKKAR C， GUPTA K， JAIN K， et al. Diagnostic Accuracy of Calculated Tumor Volumes and Apparent Diffusion Coefficient Values in Predicting Endometrial Cancer Grade［J］. Int J Appl Basic Med Res， 2022， 12（ 1）： 37- 42.
22 MORI T， KATO H， KAWAGUCHI M， et al. A comparative analysis of MRI findings in endometrial cancer： differentiation between endometrioid adenocarcinoma， serous carcinoma， and clear cell carcinoma［J］. Eur Radiol， 2022， 32（ 6）： 4128- 4136.
23 BI Q， CHEN Y， CHEN J， et al. Predictive value of T2-weighted imaging and dynamic contrast-enhanced MRI for assessing cervical invasion in patients with endometrial cancer： a meta-analysis［J］. Clin Imaging， 2021， 78（ 1）： 206- 213.
24 TANG W， CHEN L， JIN Z， et al. The diagnostic dilemma with the plateau pattern of the time-intensity curve： can the relative apparent diffusion coefficient （rADC） optimise the ADC parameter for differentiating breast lesions？［J］ Clin Radiol， 2021， 76（ 9）： 688- 695.
25 FENG A， YUAN P， HUANG T， et al. Distinguishing Tumor Recurrence From Radiation Necrosis in Treated Glioblastoma Using Multiparametric MRI［J］. Acad Radiol， 2022， 29（ 9）： 1320- 1331.
Options
Outlines

/

〈 〉