Literature DB >> 27654258

Predicting Model of Lymph Node Metastasis Using Preoperative Tumor Grade, Transvaginal Ultrasound, and Serum CA-125 Level in Patients With Endometrial Cancer.

Jisun Lee1, Tae-Wook Kong, Jiheum Paek, Suk-Joon Chang, Hee-Sug Ryu.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the predicting model for lymph node metastasis using preoperative tumor grade, transvaginal sonography (TVS), and serum cancer antigen 125 (CA-125) level in patients with endometrial cancer.
MATERIALS AND METHODS: Between January 2000 and February 2013, we identified 172 consecutive patients with surgically staged endometrial cancer. Transvaginal sonography was performed by an expert gynecologic radiologist in all patients. All patients had complete staging surgery including total hysterectomy with bilateral pelvic and para-aortic lymphadenectomy and were staged according to the 2009 International Federation of Gynecology and Obstetrics classification. Various clinicopathologic data were obtained from medical records and were retrospectively analyzed.
RESULTS: Of 172 patients, 138 patients presented with stage I (118 IA and 20 IB), 12 had stage II, 18 had stage III (2 IIIA, 1 IIIB, 8 IIIC1, and 7 IIIC2), and 2 had stage IV diseases. Most patients had endometrioid adenocarcinoma (88.4%), and others (12.6%) had nonendometrioid histology. Eighteen patients (10.5%) were found to have lymph node metastasis. Deep myometrial invasion on preoperative TVS (≥50%), high serum CA-125 level (≥ 35 IU/mL), preoperative grade 2 or 3 tumors were significant preoperative factors predicting lymph node metastasis. There was no significant association between preoperative histology and lymph node metastasis. We calculated the simple model predicting lymph node metastasis based on preoperative tumor grade, TVS findings, and CA-125 level using logistic regression analysis. The sensitivity and specificity of this model were 94% and 57%, respectively (area under the curve, 0.84; 95% confidence interval [CI], 0.74-0.93; P < 0.01).
CONCLUSIONS: Preoperative tumor grade, myometrial invasion on preoperative TVS, and CA-125 can accurately predict lymph node metastasis in patients with endometrial cancer. The current study suggests the possibility that TVS could be positively used for preoperative evaluation strategy in the low-resource countries instead of expensive imaging modalities such as magnetic resonance imaging or positron emission tomography-computed tomography.

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Year:  2016        PMID: 27654258     DOI: 10.1097/IGC.0000000000000820

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  9 in total

1.  Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Casper Reijnen; Joanna IntHout; Leon F A G Massuger; Fleur Strobbe; Heidi V N Küsters-Vandevelde; Ingfrid S Haldorsen; Marc P L M Snijders; Johanna M A Pijnenborg
Journal:  Oncologist       Date:  2019-06-11

2.  Combining Clinicopathological Parameters and Molecular Indicators to Predict Lymph Node Metastasis in Endometrioid Type Endometrial Adenocarcinoma.

Authors:  Peng Jiang; Yuzhen Huang; Yuan Tu; Ning Li; Wei Kong; Feiyao Di; Shan Jiang; Jingni Zhang; Qianlin Yi; Rui Yuan
Journal:  Front Oncol       Date:  2021-08-04       Impact factor: 6.244

3.  Predicting Factors for Pelvic Lymph Node Metastasis in Patients with Apparently Early-Stage Endometrial Cancer.

Authors:  Pariyed Gumtorntip; Yenrudee Poomtavorn; Chamnan Tanprasertkul
Journal:  Asian Pac J Cancer Prev       Date:  2022-02-01

4.  Systemic Immune-Inflammatory Index as a Predictor of Lymph Node Metastasis in Endometrial Cancer.

Authors:  HuiFang Lei; ShuXia Xu; XiaoDan Mao; XiaoYing Chen; YaoJia Chen; XiaoQi Sun; PengMing Sun
Journal:  J Inflamm Res       Date:  2021-12-21

5.  Combination IETA Ultrasonographic Characteristics Simple Scoring Method With Tumor Biomarkers Effectively Improves the Differentiation Ability of Benign and Malignant Lesions in Endometrium and Uterine Cavity.

Authors:  Dongmei Lin; Liang Zhao; Yunxiao Zhu; Yujun Huang; Kun Yuan; Wenfen Liu; Shengli Li; Xia Guo; Yi Hao
Journal:  Front Oncol       Date:  2021-08-30       Impact factor: 6.244

6.  PD-L1 Expression in Endometrial Serous Carcinoma and Its Prognostic Significance.

Authors:  Tao Zhang; Qin Liu; Yingfan Zhu; Songfa Zhang; Qiaohua Peng; Amanda Louise Strickland; Wenxin Zheng; Feng Zhou
Journal:  Cancer Manag Res       Date:  2021-12-14       Impact factor: 3.989

7.  Association of Myometrial Invasion With Lymphovascular Space Invasion, Lymph Node Metastasis, Recurrence, and Overall Survival in Endometrial Cancer: A Meta-Analysis of 79 Studies With 68,870 Patients.

Authors:  Jianzhang Wang; Ping Xu; Xueying Yang; Qin Yu; Xinxin Xu; Gen Zou; Xinmei Zhang
Journal:  Front Oncol       Date:  2021-10-21       Impact factor: 6.244

8.  A Model to Identify Candidates for Lymph Node Dissection Among Patients With High-Risk Endometrial Endometrioid Carcinoma According to Mayo Criteria.

Authors:  Wen Lu; Xiaoyue Chen; Jingyi Ni; Zhen Li; Tao Su; Shuangdi Li; Xiaoping Wan
Journal:  Front Oncol       Date:  2022-06-20       Impact factor: 5.738

9.  Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: An NRG Oncology/Gynecologic Oncology Group Study.

Authors:  Yovanni Casablanca; Guisong Wang; Heather A Lankes; Chunqiao Tian; Nicholas W Bateman; Caela R Miller; Nicole P Chappell; Laura J Havrilesky; Amy Hooks Wallace; Nilsa C Ramirez; David S Miller; Julie Oliver; Dave Mitchell; Tracy Litzi; Brian E Blanton; William J Lowery; John I Risinger; Chad A Hamilton; Neil T Phippen; Thomas P Conrads; David Mutch; Katherine Moxley; Roger B Lee; Floor Backes; Michael J Birrer; Kathleen M Darcy; George Larry Maxwell
Journal:  Cancers (Basel)       Date:  2022-08-23       Impact factor: 6.575

  9 in total

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