A Scoring System for Assessing the Risk of Malignant Partially Cystic Thyroid Nodules Based on Ultrasound Features

被引:3
作者
Xin, Yuwei [1 ]
Liu, Feifei [2 ]
Shi, Yan [3 ]
Yan, Xiaohui [1 ]
Liu, Liping [1 ]
Zhu, Jiaan [2 ]
机构
[1] Shanxi Med Univ, Dept Ultrasound, Hosp 1, Taiyuan, Peoples R China
[2] Peking Univ Peoples Hosp, Dept Ultrasound, Beijing, Peoples R China
[3] Binzhou Med Univ Hosp, Dept Ultrasound, Binzhou, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
关键词
partially cystic thyroid nodules; ultrasound features; scoring system; prediction model; malignant risk; MANAGEMENT; SIZE; STRATIFICATION; PROBABILITY; CARCINOMA; PREDICTOR; CANCER;
D O I
10.3389/fonc.2021.731779
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective To assess the ultrasound (US) features of partially cystic thyroid nodules (PCTNs) and to establish a scoring system to further improve the diagnostic accuracy. Methods A total of 262 consecutive nodules from September 2017 to March 2020 were included in a primary cohort to construct a scoring system. Moreover, 83 consecutive nodules were enrolled as an validation cohort from May 2018 to August 2020. All nodules were determined to be benign or malignant according to the pathological results after surgery or ultrasound-guided fine-needle aspiration (US-FNA). The US images and demographic characteristics of the patients were analyzed. The ultrasound features of PCTNs were extracted from primary cohort by two experienced radiologists. The features extracted were used to develop a scoring system using logistic regression analysis. Receiver operating characteristic (ROC) curves were applied to evaluate the diagnostic efficacy of the scoring system in both the primary cohort and validation cohort. In addition, the radiologists evaluated the benign and malignant PCTNs of the validation cohort according to the ACR TI-RADS guidelines and clinical experience, and the accuracy of their diagnosis were compared with that of the scoring system. Results Based on the eight features of PCTNs, the scoring system showed good differentiation and reproducibility in both cohorts. The scoring system was based on eight features of PCTNs and showed good performance. The area under the curve (AUC) was 0.876 (95% CI, 0.830 - 0.913) in the primary cohort and 0.829(95% CI, 0.730 - 0.903) in the validation cohort. The optimal cutoff value of the scoring system for the diagnosis of malignant PCTNs was 4 points, with a good sensitivity of 71.05% and specificity of 87.63%. The scoring system (AUC=0.829) was superior to radiologists (AUC= 0.736) in diagnosing PCTNs and is a promising method for clinical application. Conclusions The scoring system described herein is a convenient and clinically valuable method that can diagnose PCTNs with relatively high accuracy. The use of this method to diagnose PCTNs, which have been previously underestimated, will allow PCTNs to receive reasonable attention, and assist radiologist to confidently diagnose the benignity or malignancy.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Cytological and Ultrasound Features of Thyroid Nodules Correlate With Histotypes and Variants of Thyroid Carcinoma
    Sgro, Daniele
    Brancatella, Alessandro
    Greco, Giuseppe
    Torregrossa, Liborio
    Piaggi, Paolo
    Viola, Nicola
    Rago, Teresa
    Basolo, Fulvio
    Giannini, Riccardo
    Materazzi, Gabriele
    Elisei, Rossella
    Santini, Ferruccio
    Latrofa, Francesco
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2023, 108 (11) : E1186 - E1192
  • [42] Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid Nodules With Ultrasound Images
    Zhou, Hui
    Wang, Kun
    Tian, Jie
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (10) : 2773 - 2780
  • [43] Association of patient characteristics, ultrasound features, and molecular testing with malignancy risk in Bethesda III-V thyroid nodules
    Talmor, Guy
    Badash, Ido
    Zhou, Sheng
    Kim, Yun Ji
    Kokot, Niels C.
    Hsueh, Wayne
    Chambers, Tamara
    LARYNGOSCOPE INVESTIGATIVE OTOLARYNGOLOGY, 2022, 7 (04): : 1243 - 1250
  • [44] Sonographic Differentiation of Partially Cystic Thyroid Nodules: A Prospective Study
    Kim, D. W.
    Lee, E. J.
    In, H. S.
    Kim, S. J.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2010, 31 (10) : 1961 - 1966
  • [45] The Value of Chinese Thyroid Imaging Report and Data System Combined With Contrast-Enhanced Ultrasound Scoring in Differential Diagnosis of Benign and Malignant Thyroid Nodules
    Cao, Haiyan
    Fan, Qi
    Zhuo, Shuangshuang
    Qi, Tingyue
    Sun, Hongguang
    Rong, Xin
    Xiao, Xiao
    Zhang, Wen
    Zhu, Linhai
    Wang, Lei
    JOURNAL OF ULTRASOUND IN MEDICINE, 2022, 41 (07) : 1753 - 1761
  • [46] Systems of RISK Stratification of Malignancy by Ultrasound of Thyroid Nodules
    Rodriguez Arrieta, Luis Antonio
    Roman-Gonzalez, Alejandro
    Builes Barrera, Carlos A.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2020, 12 (11)
  • [47] The comparison of accuracy of ultrasonographic features versus ultrasound-guided fine-needle aspiration cytology in diagnosis of malignant thyroid nodules
    Nabahati, Mehrdad
    Moazezi, Zoleika
    Fartookzadeh, Soude
    Mehraeen, Rahele
    Ghaemian, Naser
    Sharbatdaran, Majid
    JOURNAL OF ULTRASOUND, 2019, 22 (03) : 315 - 321
  • [48] Ultrasound malignancy risk stratification of thyroid nodules based on the degree of hypoechogenicity and echotexture
    Lee, Ji Ye
    Na, Dong Gyu
    Yoon, So Jin
    Gwon, Hye Yun
    Paik, Wooyul
    Kim, Taeeun
    Kim, Jin Yub
    EUROPEAN RADIOLOGY, 2020, 30 (03) : 1653 - 1663
  • [49] Malignancy risk of thyroid nodules: quality assessment of the thyroid ultrasound report
    Raposo, Luis
    Freitas, Claudia
    Martins, Raquel
    Saraiva, Catarina
    Manita, Isabel
    Oliveira, Maria Joao
    Marques, Ana Paula
    Marques, Bernardo
    Rocha, Gustavo
    Martins, Teresa
    Azevedo, Teresa
    Rodrigues, Fernando
    BMC MEDICAL IMAGING, 2022, 22 (01)
  • [50] Diagnostic efficiency of existing guidelines and the AI-SONIC™ artificial intelligence for ultrasound-based risk assessment of thyroid nodules
    Yang, Linxin
    Lin, Ning
    Wang, Mingyan
    Chen, Gaofang
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14