並列タイトル等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
一般注記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
関連情報(DOI)10.3390/diagnostics12051212
連携機関・データベース国立情報学研究所 : 学術機関リポジトリデータベース(IRDB)(機関リポジトリ)
提供元機関・データベース奈良県立医科大学 : 奈良県立医科大学機関リポジトリ GINMU