Aims and objectives: The aim of the study were: (1) to study the correlation between clinical, sonological, and histopathological features of ovarian tumors; (2) to assess accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of color Doppler in differentiating benign and malignant ovarian pathologies; and (3) to study the epidemiology of ovarian tumors. Materials and methods: This is a prospective study conducted between March 2018 and September 2019. Inclusion criteria: All women who presented with adnexal masses (premenopausal: >5 cm, postmenopausal: any size) were included in this study. Exclusion criteria: Known case of ovarian tumors who came for second-look surgery. Anechoic unilocular cyst <5 cm in ovary that resolves on follow-up. Clinical presentation data such as age, parity, menstrual history, and per abdominal and per vaginal examination findings are collected. Ultrasound Doppler findings such as resistivity index (RI) and pulsatility index (PI) are calculated and correlated with histopathology postsurgery. Statistical analysis was done by Pearson's “R” correlation coefficient, sensitivity, specificity, accuracy, PPV, and NPV. Results: With RI (0.4) and PI (1), Doppler was able to differentiate 94.4% of the histopathological examination (HPE) benign cases and 97.1% of the HPE malignant cases. (Pearson's “R” for RI and HPE: 0.6925, Pearson's “R” for PI and HPE: 0.4215), the sensitivity and specificity of color Doppler 78.5 and 94.4%, respectively. The PPV was 84.6% and NPV was 91.8%. Diagnostic accuracy of color Doppler was 90.0%. Conclusion: Doppler with the prescribed RI and PI values has to be incorporated into screening of ovarian tumors as they have a high degree of sensitivity and specificity for malignant masses. Clinical significance: Doppler study is a cost-effective, noninvasive, diagnostic method and can be a useful tool for differentiating benign from malignant ovarian tumors.