Preoperative identification of a low-risk group for lymph node metastasis in endometrial cancer: A Korean Gynecologic Oncology Group study

Sokbom Kang, Woo Dae Kang, Hyun Hoon Chung, Dae Hoon Jeong, Sang Soo Seo, Jong Min Lee, Jae Kwan Lee, Jae Weon Kim, Seok Mo Kim, Sang Yoon Park, Ki Tae Kim

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Abstract

Purpose: The aim of this study was to develop a preoperative risk prediction model for lymph node metastasis in patients with endometrial cancer and to identify a low-risk group before surgery. Patients and Methods: The medical records of 360 patients with endometrial cancer who underwent surgical staging were collected from four institutions and were retrospectively reviewed. By using serum CA-125 levels, preoperative biopsy data, and magnetic resonance imaging (MRI) data, a multivariate logistic model was created. Patients whose predicted probability was less than 4% were defined as low risk. The developed model was externally validated in 180 patients from two independent institutions. Results: Serum CA-125 levels and three MRI parameters (deep myometrial invasion, lymph node enlargement, and extension beyond uterine corpus) were found to be independent risk factors for nodal metastasis. The model classified 53% of patients as part of a low-risk group, and the false negative rate was 1.7%. In the validation cohort, the model classified 43% of patients as low-risk, and the false negative rate was 1.4%. The model showed good discrimination (area under the receiver operator characteristic curve = 0.85) and was calibrated well. The negative likelihood ratio of our low-risk criteria was 0.11 (95% CI, 0.04 to 0.29), which was equivalent to the false-negative rate of 1.3% (95% CI, 0.5% to 3.3%) at the assumed prevalence of nodal metastasis of 10%. Conclusion: Using serum CA-125 and MRI as criteria resulted in the accurate identification of a low-risk group for lymph node metastasis among patients with endometrial cancer.

Original languageEnglish
Pages (from-to)1329-1334
Number of pages6
JournalJournal of Clinical Oncology
Volume30
Issue number12
DOIs
Publication statusPublished - 2012 Apr 20

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Endometrial Neoplasms
Lymph Nodes
Neoplasm Metastasis
Magnetic Resonance Imaging
Serum
Medical Records
Logistic Models
Biopsy

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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Preoperative identification of a low-risk group for lymph node metastasis in endometrial cancer : A Korean Gynecologic Oncology Group study. / Kang, Sokbom; Kang, Woo Dae; Chung, Hyun Hoon; Jeong, Dae Hoon; Seo, Sang Soo; Lee, Jong Min; Lee, Jae Kwan; Kim, Jae Weon; Kim, Seok Mo; Park, Sang Yoon; Kim, Ki Tae.

In: Journal of Clinical Oncology, Vol. 30, No. 12, 20.04.2012, p. 1329-1334.

Research output: Contribution to journalArticle

Kang, Sokbom ; Kang, Woo Dae ; Chung, Hyun Hoon ; Jeong, Dae Hoon ; Seo, Sang Soo ; Lee, Jong Min ; Lee, Jae Kwan ; Kim, Jae Weon ; Kim, Seok Mo ; Park, Sang Yoon ; Kim, Ki Tae. / Preoperative identification of a low-risk group for lymph node metastasis in endometrial cancer : A Korean Gynecologic Oncology Group study. In: Journal of Clinical Oncology. 2012 ; Vol. 30, No. 12. pp. 1329-1334.
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abstract = "Purpose: The aim of this study was to develop a preoperative risk prediction model for lymph node metastasis in patients with endometrial cancer and to identify a low-risk group before surgery. Patients and Methods: The medical records of 360 patients with endometrial cancer who underwent surgical staging were collected from four institutions and were retrospectively reviewed. By using serum CA-125 levels, preoperative biopsy data, and magnetic resonance imaging (MRI) data, a multivariate logistic model was created. Patients whose predicted probability was less than 4{\%} were defined as low risk. The developed model was externally validated in 180 patients from two independent institutions. Results: Serum CA-125 levels and three MRI parameters (deep myometrial invasion, lymph node enlargement, and extension beyond uterine corpus) were found to be independent risk factors for nodal metastasis. The model classified 53{\%} of patients as part of a low-risk group, and the false negative rate was 1.7{\%}. In the validation cohort, the model classified 43{\%} of patients as low-risk, and the false negative rate was 1.4{\%}. The model showed good discrimination (area under the receiver operator characteristic curve = 0.85) and was calibrated well. The negative likelihood ratio of our low-risk criteria was 0.11 (95{\%} CI, 0.04 to 0.29), which was equivalent to the false-negative rate of 1.3{\%} (95{\%} CI, 0.5{\%} to 3.3{\%}) at the assumed prevalence of nodal metastasis of 10{\%}. Conclusion: Using serum CA-125 and MRI as criteria resulted in the accurate identification of a low-risk group for lymph node metastasis among patients with endometrial cancer.",
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T2 - A Korean Gynecologic Oncology Group study

AU - Kang, Sokbom

AU - Kang, Woo Dae

AU - Chung, Hyun Hoon

AU - Jeong, Dae Hoon

AU - Seo, Sang Soo

AU - Lee, Jong Min

AU - Lee, Jae Kwan

AU - Kim, Jae Weon

AU - Kim, Seok Mo

AU - Park, Sang Yoon

AU - Kim, Ki Tae

PY - 2012/4/20

Y1 - 2012/4/20

N2 - Purpose: The aim of this study was to develop a preoperative risk prediction model for lymph node metastasis in patients with endometrial cancer and to identify a low-risk group before surgery. Patients and Methods: The medical records of 360 patients with endometrial cancer who underwent surgical staging were collected from four institutions and were retrospectively reviewed. By using serum CA-125 levels, preoperative biopsy data, and magnetic resonance imaging (MRI) data, a multivariate logistic model was created. Patients whose predicted probability was less than 4% were defined as low risk. The developed model was externally validated in 180 patients from two independent institutions. Results: Serum CA-125 levels and three MRI parameters (deep myometrial invasion, lymph node enlargement, and extension beyond uterine corpus) were found to be independent risk factors for nodal metastasis. The model classified 53% of patients as part of a low-risk group, and the false negative rate was 1.7%. In the validation cohort, the model classified 43% of patients as low-risk, and the false negative rate was 1.4%. The model showed good discrimination (area under the receiver operator characteristic curve = 0.85) and was calibrated well. The negative likelihood ratio of our low-risk criteria was 0.11 (95% CI, 0.04 to 0.29), which was equivalent to the false-negative rate of 1.3% (95% CI, 0.5% to 3.3%) at the assumed prevalence of nodal metastasis of 10%. Conclusion: Using serum CA-125 and MRI as criteria resulted in the accurate identification of a low-risk group for lymph node metastasis among patients with endometrial cancer.

AB - Purpose: The aim of this study was to develop a preoperative risk prediction model for lymph node metastasis in patients with endometrial cancer and to identify a low-risk group before surgery. Patients and Methods: The medical records of 360 patients with endometrial cancer who underwent surgical staging were collected from four institutions and were retrospectively reviewed. By using serum CA-125 levels, preoperative biopsy data, and magnetic resonance imaging (MRI) data, a multivariate logistic model was created. Patients whose predicted probability was less than 4% were defined as low risk. The developed model was externally validated in 180 patients from two independent institutions. Results: Serum CA-125 levels and three MRI parameters (deep myometrial invasion, lymph node enlargement, and extension beyond uterine corpus) were found to be independent risk factors for nodal metastasis. The model classified 53% of patients as part of a low-risk group, and the false negative rate was 1.7%. In the validation cohort, the model classified 43% of patients as low-risk, and the false negative rate was 1.4%. The model showed good discrimination (area under the receiver operator characteristic curve = 0.85) and was calibrated well. The negative likelihood ratio of our low-risk criteria was 0.11 (95% CI, 0.04 to 0.29), which was equivalent to the false-negative rate of 1.3% (95% CI, 0.5% to 3.3%) at the assumed prevalence of nodal metastasis of 10%. Conclusion: Using serum CA-125 and MRI as criteria resulted in the accurate identification of a low-risk group for lymph node metastasis among patients with endometrial cancer.

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