The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy

• Material Type: 博士論文
• Title: The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy
• Author/Editor: Yamanaka, Shoichiro; Kawahara, Naoki; Kawaguchi, Ryuji; Waki, Keita; Maehana, Tomoka; Fukui, Yosuke; Miyake, Ryuta; Yamada, Yuki; Kobayashi, Hiroshi; Kimura, Fuminori
• Author Heading: Yamanaka, Shoichiro; Kawahara, Naoki; Kawaguchi, Ryuji; Waki, Keita; Maehana, Tomoka; Fukui, Yosuke; Miyake, Ryuta; Yamada, Yuki; Kobayashi, Hiroshi; Kimura, Fuminori
• Publication, Distribution, etc.: MDPI
• Publication Date: 2022-05-12
• Publication Date (W3CDTF): 2022-05-12
• Alternative Title: 卵巣悪性腫瘍と良性内膜症性嚢胞の鑑別における各予測インデックスの特徴と有用性の比較
• Periodical title: Diagnostics
• No. or year of volume/issue: 12 5
• Volume: 12
• Issue: 5
• Pages: Article No.1212-
• ISSN (Periodical Title): ISSN : 2075-4418
• Degree grantor/type: 奈良県立医科大学
• Date Granted: 2023-03-15
• Dissertation Number: 甲第875号
• Degree Type: 博士（医学）
• Text Language Code: eng
• Subject Heading: ovarian endometrioma; endometriosis associated ovarian cancer; malignant ovarian tumor; borderline ovarian tumor; CPH index; ROMA index; R2 predictive index
• Target Audience: 一般
• Note (General): type:Thesis; 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, p < 0.001; HR: 9.80, 95% CI: 2.90–33.13, p < 0.001; HR: 0.15, 95% CI: 0.03–0.75, p = 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, p = 0.013; HR: 31.19, 95% CI: 8.48–114.74, p < 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, p < 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.; 博士（医学）・甲第875号・令和5年3月15日; © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).; identifier:Diagnostics Vol.12 No.5 Article No.1212 (2022 May); identifier:20754418; identifier:http://ginmu.naramed-u.ac.jp/dspace/handle/10564/4107; identifier:Diagnostics, 12(5): Article No.1212
• Access Restrictions: インターネット公開
• Related Material (DOI): 10.3390/diagnostics12051212
• Related Material (NCID): BB0676002X; https://ci.nii.ac.jp/ncid/BB0676002X
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 奈良県立医科大学 : 奈良県立医科大学機関リポジトリ GINMU

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http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4107/1/01%e7%94%b2875%e6%9c%ac%e6%96%87%e3%81%ae%e8%a6%81%e6%97%a8.pdf fulltext

http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4107/2/02%e7%94%b2875%e5%af%a9%e6%9f%bb%e8%a6%81%e6%97%a8.pdf fulltext

http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4107/6/03%e7%94%b2875%e6%9c%ac%e6%96%87.pdf fulltext