Publication: Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital
19
Issued Date
2021-05-01
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1423002X
03787346
03787346
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2-s2.0-85100904234
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Mahidol University
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SCOPUS
Bibliographic Citation
Gynecologic and Obstetric Investigation. Vol.86, No.1-2 (2021), 132-138
Suggested Citation
Vitcha Poonyakanok, Prasong Tanmahasamut, Atthapon Jaishuen, Thanyarat Wongwananuruk, Chutimon Asumpinwong, Nalinee Panichyawat, Panicha Chantrapanichkul Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital. Gynecologic and Obstetric Investigation. Vol.86, No.1-2 (2021), 132-138. doi:10.1159/000513517 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/78267
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Title
Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital
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Abstract
Introduction: Distinguishing benign adnexal masses from malignant tumors plays an important role in preoperative planning and improving patients' survival rates. The International Ovarian Tumor Analysis (IOTA) group developed a model termed the Assessment of Different NEoplasias in the adneXa (ADNEX). Objective: Our objective was to evaluate the performance of the ADNEX model in distinguishing between benign and malignant tumors at a cutoff value of 10%. Methods: This was a prospective diagnostic study. 357 patients with an adnexal mass who were scheduled for surgery at Siriraj Hospital were included from May 1, 2018, to May 30, 2019. All patients were undergoing ultrasonography, and serum CA125 was measured. Data were calculated by the ADNEX model via an IOTA ADNEX calculator. Results: Of the 357 patients, 296 had benign tumors and 61 had malignant tumors. The area under the receiver operating characteristic curve for using the ADNEX model was 0.975 (95% confidence interval, 0.953-0.988). At a 10% cutoff, the sensitivity was 98.4% and specificity was 87.2%. The best cutoff value was at 16.6% in our population. Conclusions: The performance of the ADNEX model in differentiating benign and malignant tumors was excellent.
