Reliability of ultrasound ovarian-adnexal reporting and data system amongst less experienced readers before and after training

被引:7
|
作者
Katlariwala, Prayash [1 ,2 ]
Wilson, Mitchell P. [1 ]
Pi, Yeli [1 ]
Chahal, Baljot S. [1 ]
Croutze, Roger [1 ]
Patel, Deelan [1 ]
Patel, Vimal [1 ]
Low, Gavin [1 ]
机构
[1] Univ Alberta, Dept Radiol & Diagnost Imaging, Edmonton, AB T6G 2B7, Canada
[2] Univ Alberta, Dept Radiol & Diagnost Imaging, 8440-112 St NW, Edmonton, AB T6G 2B7, Canada
来源
WORLD JOURNAL OF RADIOLOGY | 2022年 / 14卷 / 09期
关键词
Ovarian-adnexal reporting and data system; Ovary; Malignancy; Accuracy; Reliability; Ultrasound; VALIDATION;
D O I
10.4329/wjr.v14.i9.319
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
BACKGROUND The 2018 ovarian-adnexal reporting and data system (O-RADS) guidelines are aimed at providing a system for consistent reports and risk stratification for ovarian lesions found on ultrasound. It provides key characteristics and findings for lesions, a lexicon of descriptors to communicate findings, and risk characterization and associated follow-up recommendation guidelines. However, the O-RADS guidelines have not been validated in North American institutions or amongst less experienced readers. AIM To evaluate the diagnostic accuracy and inter-reader reliability of ultrasound O-RADS risk stratification amongst less experienced readers in a North American institution with and without pre-test training. METHODS A single-center retrospective study was performed using 100 ovarian/adnexal lesions of varying O-RADS scores. Of these cases, 50 were allotted to a training cohort and 50 to a testing cohort via a non-randomized group selection process in order to approximately equal distribution of O-RADS categories both within and between groups. Reference standard O-RADS scores were established through consensus of three fellowship-trained body imaging radiologists. Three PGY-4 residents were independently evaluated for diagnostic accuracy and inter-reader reliability with and without pre-test O-RADS training. Sensitivity, specificity, positive predictive value, negative predictive value (NPV), and area under the curve (AUC) were used to measure accuracy. Fleiss kappa and weighted quadratic (pairwise) kappa values were used to measure inter-reader reliability. Statistical significance was P < 0.05. RESULTS Mean patient age was 40 & PLUSMN; 16 years with lesions ranging from 1.2 to 22.5 cm. Readers demonstrated excellent specificities (85%-100% pre-training and 91%-100% post-training) and NPVs (89%-100% pre-training and 91-100% post-training) across the O-RADS categories. Sensitivities were variable (55%-100% pre-training and 64%-100% post-training) with malignant O-RADS 4 and 5 Lesions pre-training and post-training AUC values of 0.87-0.95 and 0.94-098, respectively (P < 0.001). Nineteen of 22 (86%) misclassified cases in pre-training were related to mischaracterization of dermoid features or wall/septation morphology. Fifteen of 17 (88%) of post-training misclassified cases were related to one of these two errors. Fleiss kappa inter-reader reliability was 'good' and pairwise inter-reader reliability was 'very good' with pre-training and post-training assessment (k = 0.76 and 0.77; and k = 0.77-0.87 and 0.85-0.89, respectively). CONCLUSION Less experienced readers in North America achieved excellent specificities and AUC values with very good pairwise inter-reader reliability. They may be subject to misclassification of potentially malignant lesions, and specific training around dermoid features and smooth vs irregular inner wall/septation morphology may improve sensitivity.
引用
收藏
页码:319 / 328
页数:10
相关论文
共 20 条
  • [1] Ovarian-Adnexal Reporting Lexicon for Ultrasound: A White Paper of the ACR Ovarian-Adnexal Reporting and Data System Committee
    Andreotti, Rochelle F.
    Timmerman, Dirk
    Benacerraf, Beryl R.
    Bennett, Genevieve L.
    Bourne, Tom
    Brown, Douglas L.
    Coleman, Beverly G.
    Frates, Mary C.
    Froyman, Wouter
    Goldstein, Steven R.
    Hamper, Ulrike M.
    Horrow, Mindy M.
    Hernanz-Schulman, Marta
    Reinhold, Caroline
    Strachowski, Lori M.
    Glanc, Phyllis
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (10) : 1415 - 1429
  • [2] Evaluation of American College of Radiology Ovarian-Adnexal Reporting and Data System ultrasound to predict malignancy risk in adnexal lesions
    Li, Ya
    Shao, Guangrui
    Wu, Mei
    Zhang, Feixue
    Zhang, Yuqing
    Shao, Chunchun
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2024, 50 (02) : 225 - 232
  • [3] Value of Contrast-Enhanced Ultrasound Parameters in the Evaluation of Adnexal Masses with Ovarian-Adnexal Reporting and Data System Ultrasound
    Xu, Jing
    Huang, Zeping
    Zeng, Jie
    Zheng, Zhijuan
    Cao, Junyan
    Su, Manting
    Zhang, Xinling
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2023, 49 (07): : 1527 - 1534
  • [4] The Roles of Ovarian-Adnexal Reporting and Data System US and Ovarian-Adnexal Reporting and Data System MRI in the Evaluation ofAdnexal Lesions
    Patel-Lippmann, Krupa K.
    Gupta, Akshya
    Martin, Marisa F.
    Phillips, Catherine H.
    Maturen, Katherine E.
    Jha, Priyanka
    Sadowski, Elizabeth A.
    Stein, Erica B.
    RADIOLOGY, 2024, 312 (02)
  • [5] Inter-reader reliability of Ovarian-Adnexal Reporting and Data System US: a systematic review and meta-analysis
    Bae, Sang Min
    Kim, Dong Hwan
    Kang, Ji Hun
    ABDOMINAL RADIOLOGY, 2025,
  • [6] Interrater reliability of the ovarian-adnexal reporting and data system magnetic resonance imaging (O-RADS MRI)
    Ramadan, Zainab A.
    Abdelrazek, Ahmed Abdel Khalek
    Denewar, Fatmaelzahraa Abdelfattah
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2024, 55 (01):
  • [7] Ovarian-Adnexal Reporting and Data System Ultrasound v2022 From Origin to Everyday Use
    Phillips, Catherine H.
    Patel-Lippmann, Krupa
    Huang, Jennifer
    Strachowski, Lori M.
    Maturen, Katherine E.
    RADIOLOGIC CLINICS OF NORTH AMERICA, 2025, 63 (01) : 29 - 44
  • [8] Validation of American College of Radiology Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US): Analysis on 1054 adnexal masses
    Cao, Lan
    Wei, Mingjie
    Liu, Ying
    Fu, Juan
    Zhang, Honghuan
    Huang, Jing
    Pei, Xiaoqing
    Zhou, Jianhua
    GYNECOLOGIC ONCOLOGY, 2021, 162 (01) : 107 - 112
  • [9] MRI Evaluation and Characterization of Ovarian Lesions Based on Ovarian-Adnexal Reporting and Data System MRI
    Lamghare, Purnachandra
    Paidlewar, Sayali
    Arkar, Rahul
    Rangankar, Varsha
    Sharma, Ojasvi
    Julakanti, Sravya
    Pandey, Ankita
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (08)
  • [10] American college of radiology ovarian-adnexal reporting and data system ultrasound (O-RADS): Diagnostic performance and inter-reviewer agreement for ovarian masses in children
    Wang, Huimin
    Wang, Limin
    An, Siwei
    Ma, Qiuping
    Tu, Yanping
    Shang, Ning
    Pan, Yunxiang
    FRONTIERS IN PEDIATRICS, 2023, 11