OBJECTIVE: To investigate preoperative serum CA-125 levels as a predictive factor for evaluation of lymph node metastasis in epithelial ovarian cancer. DESIGN: Retrospective study. SETTING: Medical records at Seoul National University Hospital. POPULATION: Ninety-nine patients with epithelial ovarian cancer between January 2004 and March 2007. METHODS: The significance of the preoperative serum CA-125 level for the prediction of lymph node metastasis was determined using the receiver operating characteristic (ROC) curve, McNemar's test and logistic regression analysis. Clinical prognostic factors affecting survival were evaluated using the Kaplan-Meier analysis with the log-rank test and Cox's proportional hazard analysis. RESULTS: The ROC curve showed the best cut-off value (535 U/mL) of the preoperative serum CA-125 level with regard to sensitivity (70.0%) and specificity (83.1%). Imaging studies combined with the preoperative serum CA-125 level showed the highest sensitivity (90.0%), whereas imaging studies alone showed the highest specificity (89.8%) for the prediction of lymph node metastasis. FIGO stage III-IV, the preoperative serum CA-125 level (> or =535 U/mL) and lymph node involvement on imaging studies were significant factors for the prediction of lymph node metastasis (p<0.05). Suboptimal debulking surgery and lymph node metastasis were poor prognostic factors for progression-free survival and overall survival, respectively (p<0.05). CONCLUSIONS: The preoperative serum CA-125 level (> or =535 U/mL) may be important for the prediction of lymph node metastasis in patients with epithelial ovarian cancer. Furthermore, it can be helpful in selecting patients who should undergo systemic lymphadenectomy for the detection of hidden lymph node metastasis.
OBJECTIVE: To investigate preoperative serum CA-125 levels as a predictive factor for evaluation of lymph node metastasis in epithelial ovarian cancer. DESIGN: Retrospective study. SETTING: Medical records at Seoul National University Hospital. POPULATION: Ninety-nine patients with epithelial ovarian cancer between January 2004 and March 2007. METHODS: The significance of the preoperative serum CA-125 level for the prediction of lymph node metastasis was determined using the receiver operating characteristic (ROC) curve, McNemar's test and logistic regression analysis. Clinical prognostic factors affecting survival were evaluated using the Kaplan-Meier analysis with the log-rank test and Cox's proportional hazard analysis. RESULTS: The ROC curve showed the best cut-off value (535 U/mL) of the preoperative serum CA-125 level with regard to sensitivity (70.0%) and specificity (83.1%). Imaging studies combined with the preoperative serum CA-125 level showed the highest sensitivity (90.0%), whereas imaging studies alone showed the highest specificity (89.8%) for the prediction of lymph node metastasis. FIGO stage III-IV, the preoperative serum CA-125 level (> or =535 U/mL) and lymph node involvement on imaging studies were significant factors for the prediction of lymph node metastasis (p<0.05). Suboptimal debulking surgery and lymph node metastasis were poor prognostic factors for progression-free survival and overall survival, respectively (p<0.05). CONCLUSIONS: The preoperative serum CA-125 level (> or =535 U/mL) may be important for the prediction of lymph node metastasis in patients with epithelial ovarian cancer. Furthermore, it can be helpful in selecting patients who should undergo systemic lymphadenectomy for the detection of hidden lymph node metastasis.
Authors: Xiaoxiang Chen; Jing Zhang; Wenjun Cheng; Doo Young Chang; Jianfei Huang; Xuan Wang; Lizhou Jia; Daniel G Rosen; Wei Zhang; Da Yang; David M Gershenson; Anil K Sood; Robert C Bast; Jinsong Liu Journal: Int J Gynecol Cancer Date: 2013-06 Impact factor: 3.437
Authors: Sai Kiran Sharma; Kuntal K Sevak; Sebastien Monette; Sean D Carlin; James C Knight; Frank R Wuest; Evis Sala; Brian M Zeglis; Jason S Lewis Journal: J Nucl Med Date: 2016-02-02 Impact factor: 10.057
Authors: Jesus Gonzalez Bosquet; Eric J Devor; Andreea M Newtson; Brian J Smith; David P Bender; Michael J Goodheart; Megan E McDonald; Terry A Braun; Kristina W Thiel; Kimberly K Leslie Journal: Sci Rep Date: 2021-03-16 Impact factor: 4.379