Objectives: This study aimed to examine the diagnostic and staging accuracy of CA-125 serum stages, traditional ultrasound, and CT imaging in sufferers with ovarian cancer, with a focal point on their correlation with surgical-pathological findings. Materials and Methods: A prospective cohort study was carried out concerning 150 patients with suspected ovarian cancer for a period of three years. Preoperative critiques protected CA-125 serum levels, conventional ultrasound, and CT imaging. Surgico-pathological findings were used as the gold general for diagnosis and staging. Sensitivity, specificity, a tremendous predictive fee (PPV), a bad predictive cost (NPV), and accuracy had been calculated for every diagnostic modality. Receiver running function (ROC) analysis was accomplished to determine top-quality cutoff values for CA-a 125. The correlation between imaging findings and surgical-pathological results becomes assessed using Spearman's rank correlation coefficient. Results: Of the 150 patients, 110 had been recognized with ovarian cancers based on surgical-pathological findings. CA-125 confirmed a sensitivity of 82.7%, specificity of 68.5%, PPV of 89.2%, NPV of 57.8%, and a usual accuracy of 77.3%. Conventional ultrasound exhibited a sensitivity of 64.5%, specificity of 74.2%, PPV of 85.1%, NPV of 49.3%, and an average accuracy of 67.3%. CT imaging confirmed a sensitivity of 92.7%, specificity of 81.3%, PPV of 91.2%, NPV of 84.7%, and an ordinary accuracy of 88.7%. ROC analysis found the most efficient CA-125 cutoff value for diagnosing ovarian cancer. Conclusion: CT imaging outperformed CA-125 and traditional ultrasound in both sensitivity and specificity for the prognosis and staging of ovarian cancer. While CA-125 remains a treasured biomarker, its diagnostic accuracy is more suitable when used together with imaging modalities. CT imaging, especially, affords a comprehensive assessment of ovarian cancer with excessive precision, assisting in more excellent specific surgical planning and affected person control. This study emphasizes the significance of a multimodal approach for the prognosis and staging of most ovarian cancers, in the end, enhancing patient consequences and treatment decisions.