The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy
This study aimed to evaluate the prediction efficacy of malignant transformation of ovarian endometrioma (OE) using the Copenhagen Index (CPH-I), the risk of ovarian malignancy algorithm (ROMA), and the R2 predictive index. This retrospective study was conducted at the Department of Gynecology, Nara...
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2022-05-01
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author | Shoichiro Yamanaka Naoki Kawahara Ryuji Kawaguchi Keita Waki Tomoka Maehana Yosuke Fukui Ryuta Miyake Yuki Yamada Hiroshi Kobayashi Fuminori Kimura |
author_facet | Shoichiro Yamanaka Naoki Kawahara Ryuji Kawaguchi Keita Waki Tomoka Maehana Yosuke Fukui Ryuta Miyake Yuki Yamada Hiroshi Kobayashi Fuminori Kimura |
author_sort | Shoichiro Yamanaka |
collection | DOAJ |
description | This study aimed to evaluate the prediction efficacy of malignant transformation of ovarian endometrioma (OE) using the Copenhagen Index (CPH-I), the risk of ovarian malignancy algorithm (ROMA), and the R2 predictive index. This retrospective study was conducted at the Department of Gynecology, Nara Medical University Hospital, from January 2008 to July 2021. A total of 171 patients were included in the study. In the current study, cases were divided into three cohorts: pre-menopausal, post-menopausal, and a combined cohort. Patients with benign ovarian tumor mainly received laparoscopic surgery, and patients with suspected malignant tumors underwent laparotomy. Information from a review chart of the patients’ medical records was collected. In the combined cohort, a multivariate analysis confirmed that the ROMA index, the R2 predictive index, and tumor laterality were extracted as independent factors for predicting malignant tumors (hazard ratio (HR): 222.14, 95% confidence interval (CI): 22.27–2215.50, <i>p</i> < 0.001; HR: 9.80, 95% CI: 2.90–33.13, <i>p</i> < 0.001; HR: 0.15, 95% CI: 0.03–0.75, <i>p</i> = 0.021, respectively). In the pre-menopausal cohort, a multivariate analysis confirmed that the CPH index and the R2 predictive index were extracted as independent factors for predicting malignant tumors (HR: 6.45, 95% CI: 1.47–28.22, <i>p</i> = 0.013; HR: 31.19, 95% CI: 8.48–114.74, <i>p</i> < 0.001, respectively). Moreover, the R2 predictive index was only extracted as an independent factor for predicting borderline tumors (HR: 45.00, 95% CI: 7.43–272.52, <i>p</i> < 0.001) in the combined cohort. In pre-menopausal cases or borderline cases, the R2 predictive index is useful; while, in post-menopausal cases, the ROMA index is better than the other indexes. |
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language | English |
last_indexed | 2024-03-10T03:02:33Z |
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spelling | doaj.art-13a486623a5a4edfb7156909449a8c332023-11-23T10:40:58ZengMDPI AGDiagnostics2075-44182022-05-01125121210.3390/diagnostics12051212The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and EfficacyShoichiro Yamanaka0Naoki Kawahara1Ryuji Kawaguchi2Keita Waki3Tomoka Maehana4Yosuke Fukui5Ryuta Miyake6Yuki Yamada7Hiroshi Kobayashi8Fuminori Kimura9Department of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8522, JapanThis study aimed to evaluate the prediction efficacy of malignant transformation of ovarian endometrioma (OE) using the Copenhagen Index (CPH-I), the risk of ovarian malignancy algorithm (ROMA), and the R2 predictive index. This retrospective study was conducted at the Department of Gynecology, Nara Medical University Hospital, from January 2008 to July 2021. A total of 171 patients were included in the study. In the current study, cases were divided into three cohorts: pre-menopausal, post-menopausal, and a combined cohort. Patients with benign ovarian tumor mainly received laparoscopic surgery, and patients with suspected malignant tumors underwent laparotomy. Information from a review chart of the patients’ medical records was collected. In the combined cohort, a multivariate analysis confirmed that the ROMA index, the R2 predictive index, and tumor laterality were extracted as independent factors for predicting malignant tumors (hazard ratio (HR): 222.14, 95% confidence interval (CI): 22.27–2215.50, <i>p</i> < 0.001; HR: 9.80, 95% CI: 2.90–33.13, <i>p</i> < 0.001; HR: 0.15, 95% CI: 0.03–0.75, <i>p</i> = 0.021, respectively). In the pre-menopausal cohort, a multivariate analysis confirmed that the CPH index and the R2 predictive index were extracted as independent factors for predicting malignant tumors (HR: 6.45, 95% CI: 1.47–28.22, <i>p</i> = 0.013; HR: 31.19, 95% CI: 8.48–114.74, <i>p</i> < 0.001, respectively). Moreover, the R2 predictive index was only extracted as an independent factor for predicting borderline tumors (HR: 45.00, 95% CI: 7.43–272.52, <i>p</i> < 0.001) in the combined cohort. In pre-menopausal cases or borderline cases, the R2 predictive index is useful; while, in post-menopausal cases, the ROMA index is better than the other indexes.https://www.mdpi.com/2075-4418/12/5/1212ovarian endometriomaendometriosis associated ovarian cancermalignant ovarian tumorborderline ovarian tumorCPH indexROMA index |
spellingShingle | Shoichiro Yamanaka Naoki Kawahara Ryuji Kawaguchi Keita Waki Tomoka Maehana Yosuke Fukui Ryuta Miyake Yuki Yamada Hiroshi Kobayashi Fuminori Kimura The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy Diagnostics ovarian endometrioma endometriosis associated ovarian cancer malignant ovarian tumor borderline ovarian tumor CPH index ROMA index |
title | The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy |
title_full | The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy |
title_fullStr | The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy |
title_full_unstemmed | The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy |
title_short | The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy |
title_sort | comparison of three predictive indexes to discriminate malignant ovarian tumors from benign ovarian endometrioma the characteristics and efficacy |
topic | ovarian endometrioma endometriosis associated ovarian cancer malignant ovarian tumor borderline ovarian tumor CPH index ROMA index |
url | https://www.mdpi.com/2075-4418/12/5/1212 |
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