|Table of Contents|

Value of whole tumor volume ADC nomogram in diagnosing high-grade endometrial carcinoma

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 18
Page:
3473-3480
Research Field:
Publishing date:

Info

Title:
Value of whole tumor volume ADC nomogram in diagnosing high-grade endometrial carcinoma
Author(s):
DENG Ying1; DAI Qiang1; WANG Yin1; LI Zhihao1; ZHAO Tingting2; LIANG Yi1; YAN Bin1
1.Department of Radiology,Shaanxi Provincial Cancer Hospital,Shaanxi Xi'an 710061,China;2.Department of Medical Imaging,the First Affiliated Hospital of Xi'an Jiaotong University,Shaanxi Xi'an 710061,China.
Keywords:
endometrial carcinoma; magnetic resonance imaging; ADC; histogram analysis; nomogram; histopathological grading
PACS:
R737.33
DOI:
10.3969/j.issn.1672-4992.2023.18.026
Abstract:
Objective:To explore and verify the application value of whole tumor volume apparent diffusion coefficient (ADC) nomogram analysis in predicting the high-grade endometrial carcinoma (EC) before operation.Methods:142 patients with EC confirmed by postoperative histopathology were collected retrospectively,and were divided into training cohort (n=99) and validation cohort (n=43) in a ratio of 7∶3.All patients underwent 3.0-T MR examination before operation.Using 3D Slicer software,manually draw ROI along the tumor edge on each layer of image containing tumor margin on axial T2WI and ADC,and accumulate 3D volume of interesting (VOI) and obtain the signal intensity histogram of 3D ROI and its parameters (including the maximum,minimum,mean,skewness,kurtosis,entropy,5th,10th,25th,50th,75th,90th and 95th percentile of ADC values).Measure the tumor morphology parameters,including tumor volume,tumor size,the maximum anteroposterior tumor diameter on sagittal T2-weighted imaging (APsag),and the tumor area ratio (TAR).The intraclass correlation coefficient (ICC) was used to evaluate the variability of measurement.Logistic regression (LR) was used to construct the ADCscore.The nomogram was constructed by combining the ADCscore,tumor morphology,and clinical parameters,and the calibration and decision curves were plotted.Results:There were statistically significant differences (P＜0.05) in ADCmin,ADC5th,ADC10th,ADC25th which were ADC histogram parameters,all morphology parameters (tumor volume,tumor size,APsag,TAR),and clinical parameters (age) between the high-grade and low-grade EC groups.After LR screening,ADCmin,ADC5th,ADC10th,and ADC25th were included in the ADCscore.After binary multifactor LR,age,APsag,and ADCscore were finally included as independent risk factors for classifying high-grade and low-grade EC,and the ADC nomogram was constructed.The AUC,sensitivity,and specificity of the ADC nomogram in predicting high-grade EC were 0.845,81.16%,and 72.46% in the training cohort,and 0.842,76.67%,and 80.00% in the validation cohort,respectively.The calibration curve showed that the ADC nomogram had high accuracy in predicting high-grade EC,and the decision curve showed that its predictive efficacy was similar in the training and validation cohort.Conclusion:Whole tumor volume ADC nomogram analysis is helpful for preoperative prediction of high-grade EC,and has good stability and diagnostic efficacy.

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Memo

Memo:
陕西省西安市创新能力强基计划-医学研究项目（编号：21YXYJ0102）
Last Update: 1900-01-01