Objective: To study the diagnostic efficacy of the nomogram model constructed by contrast-enhanced ultrasound combined with risk of ovarian malignancy algorithm (ROMA) index in epithelial ovarian cancer (EOC). Methods: A retrospective analysis was implemented on 214 patients who were initially diagnosed with ovarian tumors and received surgical treatment in the gynecology department of Gansu Provincial Maternity and Child-care Hospital from April 2019 to April 2022. About 130 patients recruited from April 2019 to December 2020 were used as the modeling set

and 84 patients recruited from January 2021 to April 2022 were used as the validation set. Based on the results of pathological diagnosis

the modeling set was divided into benign tumor group (n=85) and EOC group (n=45). The ROMA index and quantitative parameters of contrast-enhanced ultrasound were contrasted between the two groups

and the differential factors were selected by logistic regression to construct a nomogram diagnostic model. Results: Compared with the benign tumor group

the positive ratio of CA125

HE4

and ROMA

and the value of PI

V1 and TIC-AUC in the EOC group were significantly increased (P<0.05)

while the value of IT and TTP were significantly decreased (P<0.05). Multivariate logistic regression results showed that ROMA

IT

TTP

PI

and TIC-AUC were the different factors between EOC patients and benign tumor patients (P<0.05). The areas under the ROC curves of the modeling set and validation set were 0.919 (95%CI: 0.873-0.965

P<0.001) and 0.835 (95%CI: 0.737-0.933

P<0.001)

respectively. When the diagnostic probability was taken as the optimal cut-off value of 0.244

the sensitivity

specificity and accuracy of the nomogram diagnostic model were 86.67%

80.00% and 82.31%

respectively. Conclusion: The nomogram model constructed by the quantitative parameters of contrast-enhanced ultrasound combined with the ROMA index has better discrimination and calibration

it also has higher diagnostic value for EOC patients.