Exploring the Efficacy of Different Mathematical Models with Multi-b Value DWI in Predicting Lymphatic Vascular Invasion of Endometrial Cancer

Guijun LI; Peng WEN; Lixia HUANG; Lian XIANG

doi:10.12259/j.issn.2095-610X.S20220411

Volume 43 Issue 4

Apr. 2022

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Article Navigation > Journal of Kunming Medical University > 2022 > 43(4): 118-124

Guijun LI, Peng WEN, Lixia HUANG, Lian XIANG. Exploring the Efficacy of Different Mathematical Models with Multi-b Value DWI in Predicting Lymphatic Vascular Invasion of Endometrial Cancer[J]. Journal of Kunming Medical University, 2022, 43(4): 118-124. doi: 10.12259/j.issn.2095-610X.S20220411

Citation:

Guijun LI, Peng WEN, Lixia HUANG, Lian XIANG. Exploring the Efficacy of Different Mathematical Models with Multi-b Value DWI in Predicting Lymphatic Vascular Invasion of Endometrial Cancer[J]. Journal of Kunming Medical University, 2022, 43(4): 118-124. doi: 10.12259/j.issn.2095-610X.S20220411

Citation:

Guijun LI, Peng WEN, Lixia HUANG, Lian XIANG. Exploring the Efficacy of Different Mathematical Models with Multi-b Value DWI in Predicting Lymphatic Vascular Invasion of Endometrial Cancer[J]. Journal of Kunming Medical University, 2022, 43(4): 118-124. doi: 10.12259/j.issn.2095-610X.S20220411

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Exploring the Efficacy of Different Mathematical Models with Multi-b Value DWI in Predicting Lymphatic Vascular Invasion of Endometrial Cancer

doi: 10.12259/j.issn.2095-610X.S20220411

Dept .of Radiology，Hunan Maternity and Child Health Hospital，Changsha Hunan 410008，China

Received Date: 2022-01-01
Available Online: 2022-03-15
Publish Date: 2022-04-25

Abstract

Abstract

Objective To evaluate the efficacy of different mathematical models of multi-b-value DWI in predicting lymphatic vascular invasion （LVSI） of endometrial cancer （EC）. Methods The study population comprised 61 women who underwent multi-b-value DWI pelvic MRI between September 2019 and May 2021. The apparent-diffusion-coefficient （ADC）, bi-exponential model parameters （D, D* and f） and stretched-exponential model parameters （DDC and α） were measured and compared to analyze the following prognosis-related risk factors confirmed by pathology: histological grade and LVSI. The receiver operating characteristic （ROC） curve was performed to evaluate the diagnostic performance of these parameters in predicting EC histological grade and LVSI. The EC histological grade and LVSI related DWI model parameters were determined by multiple logistic regression model. The intra-group correlation coefficient （ICC） was used to assess the inter-observer agreement. Results The ADC, D, f, and DDC of the high histological grade group were significantly lower than those of the low histological grade group （P < 0.05, AUC: 0.699-0.882）. Compared with tumors without LVSI, tumors with LVSI had significantly lower ADC, D*, f and DDC values （ P < 0.05, AUC: 0.671-0.759）. The combination of f and DDC showed higher AUC （0.895, 0.797） than a single parameter in distinguishing high histological grade and LVSI tumors. Multivariate logistic regression analysis showed that both f and DDC can be used as independent predictors of histological grade and LVSI. ICC analysis showed that the inter-observer agreement for the D （ICC = 0.973; 95%CI = 0.956-0.985）, D* （ICC = 0.911; 95%CI = 0.851-0.946）, ADC （ICC = 0.968; 95%CI = 0.947-0.980）, f （ICC = 0.957; 95%CI = 0.922-0.974）, DDC （ICC = 0.947; 95%CI = 0.912−0.968） and α value （ICC = 0.931; 95%CI = 0.884-0.958） were very good. Conclusions Multi-b value DWI with different mathematical models is a useful and noninvasive approach for prediction of prognosis-related risk factors in EC with more comprehensive biological information.
- Diffusion-weighted imaging,
- Multiple mathematical models,
- Endometrial cancer,
- Prognostic factors,
- Lymphatic vascular invasion

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