Your browser doesn't support javascript.
loading
Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology.
Gong, Li-Ping; Li, Xiao-Ying; Wu, Ying-Nan; Dong, Shuang; Zhang, Shuang; Feng, Ya-Nan; Lv, Ya-Er; Guo, Xi-Juan; Peng, Yan-Qing; Du, Xiao-Shan; Tian, Jia-Wei; Sun, Cong-Xin; Sun, Li-Tao.
Affiliation
  • Gong LP; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Li XY; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Wu YN; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Dong S; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Zhang S; Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
  • Feng YN; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Lv YE; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Guo XJ; Department of Ultrasound, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050011, Hebei Province, China.
  • Peng YQ; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
  • Du XS; Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
  • Tian JW; Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
  • Sun CX; Department of Ultrasound, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050011, Hebei Province, China. scx19650627@163.com.
  • Sun LT; Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China. litaosun1971@sina.com.
J Ovarian Res ; 16(1): 57, 2023 Mar 21.
Article in En | MEDLINE | ID: mdl-36945000
OBJECTIVE: The accurate preoperative differentiation of benign and malignant adnexal masses, especially those with complex ultrasound morphology, remains a great challenge for junior sonographers. The purpose of this study was to develop and validate a nomogram based on the Ovarian-Adnexal Reporting and Data System (O-RADS) for predicting the malignancy risk of adnexal masses with complex ultrasound morphology. METHODS: A total of 243 patients with data on adnexal masses with complex ultrasound morphology from January 2019 to December 2020 were selected to establish the training cohort, while 106 patients with data from January 2021 to December 2021 served as the validation cohort. Univariate and multivariate analyses were used to determine independent risk factors for malignant tumors in the training cohort. Subsequently, a predictive nomogram model was developed and validated in the validation cohort. The calibration, discrimination, and clinical net benefit of the nomogram model were assessed separately by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Finally, we compared this model to the O-RADS. RESULTS: The O-RADS category, an elevated CA125 level, acoustic shadowing and a papillary projection with color Doppler flow were the independent predictors and were incorporated into the nomogram model. The area under the ROC curve (AUC) of the nomogram model was 0.958 (95% CI, 0.932-0.984) in the training cohort. The specificity and sensitivity were 0.939 and 0.893, respectively. This nomogram also showed good discrimination in the validation cohort (AUC = 0.940, 95% CI, 0.899-0.981), with a sensitivity of 0.915 and specificity of 0.797. In addition, the nomogram model showed good calibration efficiency in both the training and validation cohorts. DCA indicated that the nomogram was clinically useful. Furthermore, the nomogram model had higher AUC and net benefit than the O-RADS. CONCLUSION: The nomogram based on the O-RADS showed a good predictive ability for the malignancy risk of adnexal masses with complex ultrasound morphology and could provide help for junior sonographers.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adnexal Diseases / Nomograms Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Ovarian Res Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adnexal Diseases / Nomograms Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Ovarian Res Year: 2023 Document type: Article Affiliation country: Country of publication: