Comparison of the Differential Diagnostic Performance of Intravoxel Incoherent Motion Imaging and Diffusion Kurtosis Imaging in Malignant and Benign Thyroid Nodules

Abstract

ObjectiveThis study aimed to compare the diagnostic capacity between IVIM and DKI in differentiating malignant from benign thyroid nodules.Material and MethodsThis study is based on magnetic resonance imaging data of the thyroid with histopathology as the reference standard. Spearman analysis was used to assess the relationship of IVIM-derived parameters D, f, D* and the DKI-derived parameters Dapp and Kapp. The parameters of IVIM and DKI were compared between the malignant and benign groups. Binary logistic regression analysis was performed to establish the diagnostic model, and receiver operating characteristic (ROC) curve analysis was subsequently performed. The DeLong test was used to compare the diagnostic effectiveness of different prediction models. Spearman analysis was used to assess the relationship of Ki-67 expression and parameters of IVIM and DKI.ResultsAmong the 93 nodules, 46 nodules were malignant, and 47 nodules were benign. The Dapp of DKI-derived parameter was related to the D (P < 0.001, r = 0.863) of IVIM-derived parameter. The Kapp of DKI-derived parameter was related to the D (P < 0.001, r = -0.831) of IVIM-derived parameters. The malignant group had a significantly lower D value (P < 0.001) and f value (P = 0.013) than the benign group. The malignant group had significantly higher Kapp and lower Dapp values (all P < 0.001). The D+f had an area under the curve (AUC) of 0.951. The Dapp+Kapp had an AUC of 0.943. The D+f+Dapp+Kapp had an AUC of 0.954. The DeLong test showed no statistical significance among there prediction models. The D (P = 0.007) of IVIM-derived parameters and Dapp (P = 0.045) of DKI-derived parameter were correlated to the Ki-67 expression.ConclusionsIVIM and DKI were alternative for each other in in differentiating malignant from benign thyroid nodules.

Prediction model based on MRI morphological features for distinguishing benign and malignant thyroid nodules

“…Magnetic resonance imaging (MRI) has gained signi cant popularity in the diagnosis of head and neck tumors due to its numerous advantages, including multi-parameter measurement, arbitrary planar imaging, low risk of contrast allergy, no ionizing radiation, and high soft tissue contrast [15]. In recent years, there has been a growing trend in utilizing MRI for the preoperative evaluation of thyroid nodules [16][17][18][19][20]. However, few studies have explored the use of morphological features on multiparametric MRI to assess the benignity or malignancy of thyroid nodules.…”