Use of complex surgical procedures, patterns of tumor spread, and CA-125 predicts a risk of incomplete cytoreduction: A Korean Gynecologic Oncology Group study (KGOG-3022)

Dae Chul Jung, Sokbom Kang, Seung Cheol Kim, Jae Weon Kim, Joo Hyun Nam, Sang Young Ryu, Seok Ju Seong, Byoung Gie Kim

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Objectives We aimed to develop a risk model to predict a risk of suboptimal cytoreduction in primary surgery of ovarian cancer. Methods The clinical records and computed tomography (CT) data of 358 patients with stages II-IV epithelial ovarian cancer were reviewed. Tumor spread patterns identified by principal component analysis, CA-125, and a newly developed surgical skill index were integrated into a logistic model along with other variables. Internal validation was performed using bootstrapped re-sampling and calibration was assessed by goodness-of-fit test. Results Among the 358 patients, optimal cytoreduction, which was defined as no residual tumor, was achieved in 145 patients (40.5%). The surgical capacity of an individual institution was estimated by a surgical skill index, which was the frequency of complex surgeries in patients with advanced disease. In a multivariate model, two distinctive CT patterns of tumor spread (diffuse spread pattern and upper abdominal extension pattern), a surgical skill index, and serum CA-125 independently predicted a risk of suboptimal cytoreduction (P = 0.006, P = 0.013, P = 0.031, and P = 0.001, respectively). The model showed a C-statistic of.73 (95% confidence interval.67 to.79), which was significantly higher than tumor stage or ascites. Rigorous internal validation by bootstrapped re-sampling successfully confirmed the model. Conclusions We identified two distinct tumor spread patterns of ovarian cancer, which can be integrated to improve a prediction model. Our model may be useful in patient referral or clinical trials for patient stratification.

Original languageEnglish
Pages (from-to)336-340
Number of pages5
JournalGynecologic Oncology
Volume131
Issue number2
DOIs
StatePublished - Nov 2013

Bibliographical note

Funding Information:
This study was supported by a grant from National Cancer Center, Republic of Korea (1210200) and the Korea Healthcare Technology R&D Project, Ministry for Health & Welfare Affairs, Republic of Korea (A092255).

Keywords

  • Computed tomography
  • Cytoreductive surgery
  • Optimal cytoreduction
  • Ovarian cancer
  • Spread pattern
  • Surgical skill index

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