O-RADS分类、GI-RADS分类、简单规则对卵巢肿瘤诊断性能的比较
Comparison of O-RADS Classification, GI-RADS Classification and Simple Rules in the Diagnosis of Adnexal Tumors
DOI: 10.12677/ACM.2022.123313, PDF,  被引量   
作者: 王荣玲*, 杨宗利:青岛大学附属医院腹部超声科,山东 青岛;王秀军:莒县中医医院病理科,山东 日照
关键词: 超声检查卵巢肿瘤O-RADSGI-RADS简单规则Ultrasonographic Examination Ovarian Tumors O-RADS GI-RADS Simple Rules
摘要: 目的:探究卵巢–附件超声报告和数据系统的风险分层与管理(O-RADS)、妇科影像报告与数据系统(GI-RADS)、简单规则对卵巢肿瘤良恶性的诊断能力。方法:回顾性分析卵巢肿瘤患者的声像图资料,绘制受试者工作特征(ROC)曲线,分别计算O-RADS、GI-RADS、简单规则对卵巢肿瘤的诊断效能。结果:O-RADS分类、GI-RADS分类及简单规则的曲线下面积(AUC)分别为0.90、0.89、0.86;O-RADS分类、GI-RADS分类及简单规则诊断恶性附件肿块的灵敏度分别为97.6%、82.8%、89.8%,特异度分别为82.5%、91.2%、89.8%。结论:O-RADS分类灵敏度优于GI-RADS分类、简单规则,具有较高的临床价值,值得在临床推广应用。
Abstract: Objective: To explore the diagnostic ability of ovarian-adnexal ultrasound report and data system (O-RADS), gynecological imaging report and data system (GI-RADS) and simple rules for adnexal masses. Methods: The sonographic data of patients with adnexal tumors confirmed by pathology were retrospectively analyzed. The Receiver Operating Characteristic (ROC) curves were drawn and the diagnostic efficacy of O-RADS, GI-RADS and simple rules in the diagnosis of adnexal masses was calculated respectively. Results: The area under the curve (AUC) of O-RADS, GI-RADS and simple rules were 0.90, 0.89, and 0.86, respectively; the sensitivity of O-RADS, GI-RADS and simple rules in diagnosing malignant adnexal masses were 97.6%, 82.8%, 89.8%, and the specificity was 82.5%, 91.2%, and 89.8%, respectively. Conclusion: The sensitivity of O-RADS is better than that of GI-RADS and simple rules, and it has high clinical value and is worthy of clinical application.
文章引用:王荣玲, 王秀军, 杨宗利. O-RADS分类、GI-RADS分类、简单规则对卵巢肿瘤诊断性能的比较[J]. 临床医学进展, 2022, 12(3): 2171-2177. https://doi.org/10.12677/ACM.2022.123313

参考文献

[1] Warren, J.L., Harlan, L.C., Trimble, E.L., et al. (2017) Trends in the Receipt of Guideline Care and Survival for Women with Ovarian Cancer: A Population-Based Study. Gynecologic Oncology, 145, 486-492. [Google Scholar] [CrossRef] [PubMed]
[2] Timmerman, D., Testa, A.C., Bourne, T., et al. (2008) Simple Ultrasound-Based Rules for the Diagnosis of Ovarian Cancer. Ultrasound in Obstetrics & Gynecology, 31, 681-690. [Google Scholar] [CrossRef] [PubMed]
[3] Amor, F., Vaccaro, H., Alcázar, J.L., et al. (2009) Gynecologic Imaging Reporting and Data System: A New Proposal for Classifying Adnexal Masses on the Basis of Sonographic Findings. Journal of Ultrasound in Medicine, 28, 285-291. [Google Scholar] [CrossRef] [PubMed]
[4] Andreotti, R.F., Timmerman, D., Strachowski, L.M., et al. (2020) O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee. Radiology, 294, 168-185. [Google Scholar] [CrossRef] [PubMed]
[5] Timmerman, D., Ameye, L., Fischerova, D., et al. (2010) Simple Ultrasound Rules to Distinguish between Benign and Malignant Adnexal Masses before Surgery: Prospective Validation by IOTA Group. BMJ, 341, c6839. [Google Scholar] [CrossRef] [PubMed]
[6] Basha, M.A.A., Refaat, R., Ibrahim, S.A., et al. (2019) Gynecology Imaging Reporting and Data System (GI-RADS): Diagnostic Performance and Inter-Reviewer Agreement. European Radiology, 29, 5981-5990. [Google Scholar] [CrossRef] [PubMed]
[7] Zhang, T., Li, F., Liu, J., et al. (2017) Diagnostic Performance of the Gynecology Imaging Reporting and Data System for Malignant Adnexal Masses. International Journal of Gynecology & Obstetrics, 137, 325-331. [Google Scholar] [CrossRef] [PubMed]
[8] Koneczny, J., Czekierdowski, A., Florczak, M., et al. (2017) The Use of Sonographic Subjective Tumor Assessment, IOTA Logistic Regression Model 1, IOTA Simple Rules and GI-RADS System in the Preoperative Prediction of Malignancy in Women with Adnexal Masses. Ginekologia Polska, 88, 647-653. [Google Scholar] [CrossRef
[9] Wynants, L., Timmerman, D., Verbakel, J.Y., et al. (2017) Clinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis. Clinical Cancer Research, 23, 5082-5090. [Google Scholar] [CrossRef
[10] Moro, F., Baima Poma, C., Zannoni, G.F., et al. (2017) Imaging in Gynecological Disease (12): Clinical and Ultrasound Features of Invasive and Non-Invasive Malignant Serous Ovarian Tumors. Ultrasound in Obstetrics & Gynecology, 50, 788-799. [Google Scholar] [CrossRef] [PubMed]
[11] Cao, L., Wei, M., Liu, Y., et al. (2021) Validation of American College of Radiology Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US): Analysis on 1054 Adnexal Masses. Gynecologic Oncology, 162, 107-112. [Google Scholar] [CrossRef] [PubMed]
[12] 李琴, 赵薇, 唐柳林, 等. 妇科影像报告和数据系统鉴别附件肿块良恶性的应用价值[J]. 临床超声医学杂志, 2021, 23(5): 374-378.