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The Value of Apparent Diffusion Coefficient in Differential Diagnosis of Ovarian Cystic Adenoid Tumors

Objective: To quantitatively analyze apparent diffusion coefficient (ADC) value of cystic composition and solid composition in ovarian cystadenocarcinoma, borderline cystadenoma and cystadenoma by 3.0T magnetic resonance imaging (MRI), and to investigate its diagnostic and differential diagnostic values in ovarian cystic adenoid tumors. Methods: Retrospective analysis was carried out on 28 patients with ovarian cystic adenoid tumor as confirmed by surgical and pathological examinations. Examination was performed by Siemens 3.0T MRI scanner. Tumor size, margin, composition (cystic or solid), signal characteristic and presence of ascites were observed. Combined with localization using T2WI and diffusion weighted imaging (DWI), ADC value was calculated from ADC mapping using region of interest ROI (the largest surface area of cystic and solid compositions in tumor). Statistical analysis was performed. Results: Among the 28 ovarian tumors, there were 13 cases of cystadenomas (5 serous cystadenomas and 9 mucinous cystadenomas), 4 border l ine mucinous cys tadenomas and 11 cystadenocarcinoma (9 serous cystadenocarcinoma and 2 mucinous cystadenocarcinoma). There was no significant intragroup difference in ADC values of cystic composition and solid composition in ovarian cystadenoma and cystadenocarcinoma respectively (P>0.05). The ADC value of solid composition between benign cystadenoma and borderline cystadenoma (P<0.05) showed statistically significantly difference. The difference in ADC value of solid composition between benign cystadenoma and cystadenocarcinoma was also statistically significant (P<0.05). There was no significant difference in ADC value of cystic composition between benign cystadenoma, borderline cystadenoma and cystadenocarcinoma (P>0.05). Conclusion: Quantitative analysis of ADC value of solid composition using 3.0T MRI has great value in differential diagnosis of benign and malignant ovarian cystic adenoid tumors. Its combination with conventional MRI method can improve the accuracy of diagnosis of ovarian cystic adenoid tumors.