Evaluation of the value of the Chinese-Thyroid Imaging Reporting and Data System in differentiating thyroid follicular carcinoma from follicular adenoma
10.3760/cma.j.cn.115807-20230602-00156
- VernacularTitle:评估中国版甲状腺影像报告与数据系统鉴别甲状腺滤泡癌与滤泡腺瘤的价值
- Author:
Chao MA
1
;
Ruoyu JIANG
;
Ke ZHAO
;
Jie ZHANG
;
Nan KANG
;
Ming XIAO
Author Information
1. 天津医科大学总医院普外科，天津 300052
- Keywords:
Ultrasonography;
Follicular thyroid carcinoma;
Follicular thyroid adenoma;
Chinese-Thyroid Imaging Reporting and Data System;
Nomogram
- From:
Chinese Journal of Endocrine Surgery
2023;17(5):598-602
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the value of ultrasonographic features and classification defined by the Chinese-Thyroid Imaging Reporting and Data System (C-TIRADS) in differentiating follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA) .Methods:Data of 87 patients who underwent thyroid nodule-related surgery at Tianjin Medical University General Hospital from Jan. 2019 to Feb. 2023 and whose postoperative pathology confirmed FTC or FTA was divided into FTC group (26 cases) and FTA group (61 cases) were retrospectively analyzed. The differences of general data, pathological diagnosis, surgical methods, ultrasonographic features of thyroid nodules and C-TIRADS classification between the two groups were compared. Multivariate Logistic regression analysis was used to screen the independent predictors related to the occurrence of FTC, a regression model was established based on the independent predictors and a nomogram was drawn. Bootstrap method was used to verify the nomogram internally, and ROC curve and calibration curve were drawn to evaluate the diagnostic efficiency and predictive ability of the nomogram.Results:There were statistically significant differences between orientation, echo, composition, calcification, margin, halo and C-TIRADS classification between groups (all P<0.05) ; maximum diameter, echotexture, blood flow, general data, pathological diagnosis and surgical methods had no statistically significant differences between groups (all P>0.05) .Single-factor logistic regression analysis showed taller-than-wide, peripheral calcification, blurred/irregular edges or external invasion, C-TIRADS 4B/4C class were candidate variables for predicting the occurrence of FTC ( OR=10.909, 19.059, 19.259, 49.333, all P<0.05). Multivariate logistic regression analysis showed that peripheral calcification, blurry/irregular edges or extra-thyroid invasion, C-TIRADS 4B/4C class were independent predictors for the occurrence of FTC ( OR=33.731, 11.620, 22.794, all P<0.05) .The nomogram of FTC occurrence was constructed based on the above three independent predictors, and the AUC was 0.920 (95% CI=0.854-0.986), which showed that the nomogram had high diagnostic efficacy, and the optimal diagnostic threshold determined by the Youden index was 0.23 (corresponding to the total score of the nomogram is about 52 points), the sensitivity was 88.5%, and the specificity was 82.0%. The calibration curve drawn by internal verification was close to the reference line, suggesting that the nomogram had a high predictive ability. Conclusions:The nomogram prediction model for FTC occurrence based on the ultrasonographic features and classification defined by C-TIRADS has high diagnostic efficiency and predictive ability, and can help in the preoperative identification of FTC and FTA.
