Diagnostic value of gradient characteristics of quantitative parameters of contrast-enhanced ultrasound for papillary thyroid carcinoma
10.3760/cma.j.cn115355-20240419-00191
- VernacularTitle:超声造影定量参数梯度特征对甲状腺乳头状癌的诊断价值
- Author:
Ying XUE
1
;
Tiantian JIA
;
Le REN
;
Gaiqin XUE
Author Information
1. 山西医科大学医学影像学院,太原 030001
- Publication Type:Journal Article
- Keywords:
Thyroid nodule;
Thyroid papillary carcinoma;
Contrast-enhanced ultrasound;
Quantitative analysis;
Gradient characteristics
- From:
Cancer Research and Clinic
2025;37(9):672-678
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the diagnostic value of gradient characteristics of quantitative parameters of contrast-enhanced ultrasound (CEUS) in papillary thyroid carcinoma.Methods:A retrospective case series study was conducted. The clinical data of 120 patients with thyroid diseases who underwent pathological examination for samples collected through fine needle aspiration or surgical resection and underwent CEUS examination before surgery at Shanxi Province Cancer Hospital from January 2018 to May 2023 were collected. A total of 120 thyroid nodules were selected and divided into the benign group (37 nodules) and the malignant group (83 nodules) according to pathological results. The VueBox software was used to depict the four regions of interest in nodules of the two groups, which were the overall, central and marginal areas and surrounding normal thyroid tissues. The time-intensity curve (TIC) was drawn and the relevant parameters including peak enhancement (PE), wash-in area under the curve (WiAUC), wash-in rate (WiR), wash-out rate (WoR), and time to increase (TI) were analyzed, and the gradient values (ΔPE within the nodules, ΔWiAUC within the nodules, ΔWiR within the nodules, ΔWoR within the nodules, ΔTI within the nodules) between two groups of nodules and surrounding normal tissues, as well as between the central and marginal areas of the nodules were calculated.Results:The conventional ultrasound characteristics of benign and malignant nodules showed only a statistically significant difference in aspect ratio ( χ2 = 14.76, P < 0.001). There were statistically significant differences in PE, WiAUC, WiR, and WoR between the overall malignant nodules and the surrounding normal tissues, as well as between the central and marginal areas within the nodules (all P < 0.05); there was a statistically significant difference in WiAUC between the overall benign nodules and the surrounding normal tissues (7 362.06 vs. 7 281.16, Z = -2.07, P = 0.038); there was no statistically significant difference in TI between the two groups of overall nodules and the surrounding normal tissues, as well as the central and marginal areas within the nodules (both P > 0.05); there were statistically significant differences in ΔPE, ΔWiAUC, ΔWiR, and ΔWoR in different regions of the nodules between the two groups (all P < 0.05); binary logistic analysis showed that overall ΔPE and intra nodule ΔWoR were independent predictive factors for the malignancy of thyroid nodules (both P < 0.05); receiver operating characteristic (ROC) curve analysis showed that the overall ΔPE had better diagnostic efficacy for benign and malignant thyroid nodules than the intra nodule ΔWoR, with a cut-off value of -536.23 a.u. Its combination with CEUS had the highest diagnostic efficacy for malignant thyroid nodules, with sensitivity, specificity, positive predictive value, and negative predictive value of 86.7%, 81.1%, 91.1%, and 73.2%, respectively. Conclusions:The peak intensity gradient value (overall ΔPE) between thyroid nodules and surrounding normal tissues can serve as an effective indicator for distinguishing between benign and malignant thyroid nodules. The combination of overall ΔPE and CEUS has good diagnostic efficacy.