What question did this study set out to answer?

This study aims to evaluate how well the MRI fractional order calculus model distinguishes endometrial carcinoma from normal endometrium and different grades of the cancer.

May 30, 2026Current Medical Imaging Formerly Current Medical Imaging Reviews0 citations

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A 3T Magnetic Resonance Fractional Order Calculus Model for the Diagnosis and Grading of Endometrial Cancer

SLShu-Yuan LiDahua Hospital QSQing-lei ShiChinese University of Hong Kong, Shenzhen YSYu‐xuan ShaoHebei North University

Key Points

This study aims to evaluate how well the MRI fractional order calculus model distinguishes endometrial carcinoma from normal endometrium and different grades of the cancer.
Patients with confirmed endometrial carcinoma and normal volunteers underwent MRI scans with multiple b values.
First-order statistical parameters such as β, μ, and D were analyzed.
Fifty patients and thirty volunteers were included in the study.
Significant differences were found in the first-order statistical parameters β, μ, and D across different grades of endometrial carcinoma (P < 0.05).
Energy and Total Energy parameters of β parameter showed significant differences between low-grade and high-grade carcinomas (AUC 0.864).
Different statistical parameters exhibited significant differences between G2 and G3 grades, with AUC values ranging from 0.724 to 0.815.

Abstract

introduction: To investigate the effect of the magnetic resonance imaging (MRI) fractional order calculus model (FORC) on distinguishing endometrial carcinoma (EC) from normal endometrium and on distinguishing different pathological grades of EC. materials and methods: Patients with pathologically-confirmed EC and normal volunteers with normal endometrium were enrolled to undergo MRI scan with multiple b values for analysis of the differences in the first-order statistical parameters of β, μ, and D. results: Fifty patients with EC aged 56.0±7.9 years were enrolled and divided into group G1 (low-grade group, n=5), G2 (low-grade group, n=33), and G3 (high-grade group, n=12). Thirty volunteers with matched age 55.4 ± 9.0 years and normal endometrium were enrolled as the control group. The first-order statistical parameters β, μ, and D of the EC group were all significantly (P0.05) difference in the parameters among different pathological grades of EC. The Energy and Total Energy of the β first-order statistical parameter were significantly (P0.05) different between G1 and G3 pathological grades of EC, both with an AUC of 0.864. The Energy, Kurtosis, and total Energy of the β first-order statistical parameter were significantly (P0.05) different between G2 and G3 pathological grades and had an AUC of 0.730, 0.795, and 0.812, respectively. The Entropy, Total Energy, and Energy of the D first-order statistical parameter had a significant (P0.05) difference between G2 and G3 grades and had an AUC of 0.724, 0.761, and 0.756, respectively. The Energy, Entropy, and Total Energy of the μ first-order statistical parameter had a significant (P0.05) difference between G2 and G3 grades and had an AUC of 0.801, 0.773, and 0.815, respectively. discussion: The use of the parameters of the FROC model is effective for the diagnosis of EC, and the first-order statistical parameters have high clinical values in differentiating high- and low-grade EC. conclusion: The use of the parameters of the FROC model is effective for the diagnosis of EC, and the first-order statistical parameters have high clinical values in differentiating high- and low-grade EC.

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Cite This Study

Li et al. (Sun,) studied this question.

synapsesocial.com/papers/6a1a7fce0307b78509432002 https://doi.org/https://doi.org/10.2174/0115734056419307260514062806

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