Clinical study of a CT evaluation model combined with serum CA125 in predicting the treatment of newly diagnosed advanced epithelial ovarian cancer

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Abstract

Background: The treatment of newly diagnosed advanced epithelial ovarian cancer (EOC) was predicted by an ovarian cancer computed tomography (CT) evaluation model combined with serum CA125. Methods: Clinical data for 194 patients with advanced EOC treated with neoadjuvant chemotherapy (NACT) combined with interval debulking surgery (IDS) or primary debulking surgery (PDS) were retrospectively analyzed, and the appropriate treatment was predicted by comparing the subgroup differences in intraoperative situations, postoperative situations and survival rates. Results: There were no significant differences with respect to operation time, intraoperative blood loss, ideal tumor cytoreductive rate or postoperative complication rate between the NACT + IDS group and the PDS group with scores less than 5 (score < 5) (p = 0.764, p = 0.504, p = 0.906, p = 0.176). However, there was a statistically significant difference in overall survival rate between the two groups (p = 0.029), with better survival in the PDS group than in the NACT + IDS group. There were significant differences between the NACT + IDS group and the PDS group with scores greater than or equal to 5 (score ≥ 5). The former was better than the latter in terms of operation time, intraoperative blood loss, ideal tumor cytoreductive rate, and postoperative complication rate (p = 0.002, p = 0.040, p = 0.014, p = 0.021). However, there was no significant difference in overall survival rate between the two groups (p = 0.383). Conclusions: According to the new evaluation system, for a score < 5, we suggest that patients with newly diagnosed advanced EOC undergo PDS; for a score ≥ 5, we recommend NACT + IDS.

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Qin, L., Huang, H., Chen, M., Liang, Y., & Wang, H. (2018). Clinical study of a CT evaluation model combined with serum CA125 in predicting the treatment of newly diagnosed advanced epithelial ovarian cancer. Journal of Ovarian Research, 11(1). https://doi.org/10.1186/s13048-018-0422-z

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