Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors' subjective judgment

被引:1
|
作者
Zhou, Shan [1 ,2 ]
Guo, Yuyang [1 ]
Wen, Lieming [1 ]
Liu, Jieyu [1 ]
Fu, Yaqian [2 ]
Xu, Fang [3 ]
Liu, Minghui [1 ]
Zhao, Baihua [1 ]
机构
[1] Cent South Univ, Xiangya Hosp 2, Dept Ultrasound Diag, 139 Renmin Middle Rd, Changsha 410011, Hunan, Peoples R China
[2] Cent South Univ, Xiangya Hosp 2, Hlth Management Ctr, 139 Renmin Middle Rd, Changsha 410011, Hunan, Peoples R China
[3] First Hosp Changsha, Dept Ultrasonog, 311 Yingpan Rd, Changsha 410005, Hunan, Peoples R China
关键词
O-RADS; Adnexal mass; Diagnostic efficiency; Pelvic ultrasound; LOGISTIC-REGRESSION MODEL; OVARIAN-TUMOR; MALIGNANCY INDEX; PREOPERATIVE DIAGNOSIS; ULTRASOUND FEATURES; MENOPAUSAL STATUS; ADNEXAL MASSES; PREDICTION; MULTICENTER; CARCINOMA;
D O I
10.1186/s12880-023-01153-9
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundThis study aimed to compare the diagnostic efficiency of Ovarian-Adnexal Reporting and Data System (O-RADS) and doctors' subjective judgment in diagnosing the malignancy risk of adnexal masses.MethodsThis was an analysis of 616 adnexal masses between 2017 and 2020. The clinical findings, preoperative ultrasound images, and pathological diagnosis were recorded. Each adnexal mass was evaluated by doctors' subjective judgment and O-RADS by two senior doctors and two junior doctors. A mass with an O-RADS grade of 1 to 3 was a benign tumor, and a mass with an O-RADS grade of 4-5 was a malignant tumor. All outcomes were compared with the pathological diagnosis.ResultsOf the 616 adnexal masses, 469 (76.1%) were benign, and 147 (23.9%) were malignant. There was no difference between the area under the curve of O-RADS and the subjective judgment for junior doctors (0.83 (95% CI: 0.79-0.87) vs. 0.79 (95% CI: 0.76-0.83), p = 0.0888). The areas under the curve of O-RADS and subjective judgment were equal for senior doctors (0.86 (95% CI: 0.83-0.89) vs. 0.86 (95% CI: 0.83-0.90), p = 0.8904). O-RADS had much higher sensitivity than the subjective judgment in detecting malignant tumors for junior doctors (84.4% vs. 70.1%) and senior doctors (91.2% vs. 81.0%). In the subgroup analysis for detecting the main benign lesions of the mature cystic teratoma and ovarian endometriosic cyst, the junior doctors' diagnostic accuracy was obviously worse than the senior doctors' on using O-RADS.ConclusionsO-RADS had excellent performance in predicting malignant adnexal masses. It could compensate for the lack of experience of junior doctors to a certain extent. Better performance in discriminating various benign lesions should be expected with some complement.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors’ subjective judgment
    Shan Zhou
    Yuyang Guo
    Lieming Wen
    Jieyu Liu
    Yaqian Fu
    Fang Xu
    Minghui Liu
    Baihua Zhao
    BMC Medical Imaging, 23
  • [2] External Validation of O-RADS US Risk Stratification and Management System
    Hack, Kalesha
    Gandhi, Niket
    Bouchard-Fortier, Genevieve
    Chawla, Tanya P.
    Ferguson, Sarah E.
    Li, Siying
    Kahn, Daniel
    Tyrrell, Pascal N.
    Glanc, Phyllis
    RADIOLOGY, 2022, 304 (01) : 114 - 120
  • [3] Contrast-enhanced US to Improve Diagnostic Performance of O-RADS US Risk Stratification System for Malignancy
    Yuan, Kun
    Huang, Yu-Jun
    Mao, Mu-Yi
    Li, Tian
    Wang, Song-Juan
    He, Dan-Ni
    Liu, Wen-Fen
    Li, Meng-Xiong
    Zhu, Xiao-Min
    Chen, Xin-Yu
    Zhu, Yun-Xiao
    RADIOLOGY, 2023, 308 (02)
  • [4] O-RADS MRI risk stratification system: pearls and pitfalls
    Stephanie Nougaret
    Leo Razakamanantsoa
    Elizabeth A. Sadowski
    Erica B. Stein
    Yulia Lakhman
    Nicole M. Hindman
    Aurelie Jalaguier-Coudray
    Andrea G. Rockall
    Isabelle Thomassin-Naggara
    Insights into Imaging, 15
  • [5] O-RADS MRI risk stratification system: pearls and pitfalls
    Nougaret, Stephanie
    Razakamanantsoa, Leo
    Sadowski, Elizabeth A.
    Stein, Erica B.
    Lakhman, Yulia
    Hindman, Nicole M.
    Jalaguier-Coudray, Aurelie
    Rockall, Andrea G.
    Thomassin-Naggara, Isabelle
    INSIGHTS INTO IMAGING, 2024, 15 (01)
  • [6] A simplified approach to ovarian lesions based on the O-RADS US risk stratification and management system
    Mohamadian, Alireza
    Bayani, Leila
    Katouli, Fatemeh Shakki
    ULTRASONOGRAPHY, 2023, 42 (01) : 165 - 171
  • [7] A simplified approach to ovarian lesions based on the O-RADS US risk stratification and management system
    Mohamadian, Alireza
    Bayani, Leila
    Katouli, Fatemeh Shakki
    ULTRASONOGRAPHY, 2022, : 165 - 171
  • [8] O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee
    Sadowski, Elizabeth A.
    Thomassin-Naggara, Isabelle
    Rockall, Andrea
    Maturen, Katherine E.
    Forstner, Rosemarie
    Jha, Priyanka
    Nougaret, Stephanie
    Siegelman, Evan S.
    Reinhold, Caroline
    RADIOLOGY, 2022, 303 (01) : 35 - 47
  • [9] MRI O-RADS: Learning about the New Risk Stratification System COMMENT
    Levine, Deborah
    RADIOLOGY, 2022, 303 (01) : 48 - 50
  • [10] O-RADS US Risk Stratification and Management System: Case-based Learning Approach for Daily Practice
    Hack, Kalesha
    Strachowski, Lori
    Andreotti, Rochelle F.
    Ghandehari, Hournaz
    Jha, Priyanka
    Lim, Christopher
    Patel, Chirag
    Glanc, Phyllis
    RADIOGRAPHICS, 2023, 43 (03) : e220079