Roma Index and Adnex Model: which is more Superior in Predicting Epithelial Ovarian Malignancy?

Feibyg Lumandung, S. Mongan, B. J. Laihad
{"title":"Roma Index and Adnex Model: which is more Superior in Predicting Epithelial Ovarian Malignancy?","authors":"Feibyg Lumandung, S. Mongan, B. J. Laihad","doi":"10.32771/inajog.v11i3.1819","DOIUrl":null,"url":null,"abstract":"Objective: To compare the accuracy of ROMA index andADNEX model in predicting the risk of malignancy in ovariantumour.Methods: This was a prospective analytic study. A total of 37samples were acquired from women of all ages diagnosedwith an ovarian cystic tumour in the Central General HospitalProf. Dr. R. D. Kandou. A CA-125 marker, HE4 marker,menopausal status and ultrasonography (USG) examinationwere obtained, and subsequently compared with the fi nalhistopathological results. The data were analysed by usingthe SPSS statistics software.Results: Thirty-seven women participated in this study. Themean age of participants was 43 years old. The Area UnderCurve (AUC) of the ADNEX was 0.979 with a sensitivity of90.0%, specifi city of 88.2%, negative predictive value of89.8%, and positive predictive value of 80.5%. The AUC ofthe ROMA model was 0.734 with the sensitivity, specifi city,negative predictive value, and positive predictive value of65.0%, 64.7%, 64.8%, and 64.8%, respectively. Both modelsshowed AUC values > 0.50 (p-value < 0.05).Conclusions: The IOTA ADNEX had better accuracy than theROMA model in predicting ovarian epithelial malignancy.The ADNEX model had higher sensitivity and specifi city thanthe ROMA model.Keywords: ADNEX, CA-125, HE4, Ovarian tumour, ROMAAbstrakTujuan: Untuk membandingkan akurasi indeks ROMAdan ADNEX model dalam memprediksi keganasan tumorovariumMetode: Penelitian ini merupakan studi analitik prospektif.Total 37 sampel penelitian didapatkan dari wanita yangdidiagnosa tumor ovarium kistik di RSUP Prof. Dr. R. D.Kandou. CA-125, HE4, status menopause dan pemeriksaanUSG dilakukan, dan dibandingkan dengan hasil histopatologi.Data kemudian dianalisa menggunakan program statistikSPSS.Hasil: Tiga puluh tujuh perempuan yang berpartisipasidalam penelitian ini. Dengan rerata usia 43 tahun. TotalArea Under Curve (AUC) dari IOTA ADNEX adalah 0,979dengan sensitivitas 90,0%, spesifi sitas 88,2%, nilai prediksinegatif 89,8%, dan nilai prediksi positif 80,5%. AUC darimodel ROMA adalah 0,734 dengan sensitivitas, spesifi sitas,nilai prediktif negatif dan nilai predikitif positif 65.0%, 64.7%,64.8%, dan 64.8% berturut-turut. Kedua model menunjukkannilai AUC > 0,50 (nilai p <0,05).Kesimpulan: IOTA ADNEX memiliki akurasi yang lebih baikdibandingkan model ROMA dalam memprediksi keganasanovarium epithelial. ADNEX model memiliki sensitivitas danspesifi sitas lebih tinggi dibandingkan model ROMAKata kunci: ADNEX, CA-125, HE4, ROMA, Tumor Ovarium.","PeriodicalId":13477,"journal":{"name":"Indonesian Journal of Obstetrics and Gynecology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Obstetrics and Gynecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32771/inajog.v11i3.1819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To compare the accuracy of ROMA index andADNEX model in predicting the risk of malignancy in ovariantumour.Methods: This was a prospective analytic study. A total of 37samples were acquired from women of all ages diagnosedwith an ovarian cystic tumour in the Central General HospitalProf. Dr. R. D. Kandou. A CA-125 marker, HE4 marker,menopausal status and ultrasonography (USG) examinationwere obtained, and subsequently compared with the fi nalhistopathological results. The data were analysed by usingthe SPSS statistics software.Results: Thirty-seven women participated in this study. Themean age of participants was 43 years old. The Area UnderCurve (AUC) of the ADNEX was 0.979 with a sensitivity of90.0%, specifi city of 88.2%, negative predictive value of89.8%, and positive predictive value of 80.5%. The AUC ofthe ROMA model was 0.734 with the sensitivity, specifi city,negative predictive value, and positive predictive value of65.0%, 64.7%, 64.8%, and 64.8%, respectively. Both modelsshowed AUC values > 0.50 (p-value < 0.05).Conclusions: The IOTA ADNEX had better accuracy than theROMA model in predicting ovarian epithelial malignancy.The ADNEX model had higher sensitivity and specifi city thanthe ROMA model.Keywords: ADNEX, CA-125, HE4, Ovarian tumour, ROMAAbstrakTujuan: Untuk membandingkan akurasi indeks ROMAdan ADNEX model dalam memprediksi keganasan tumorovariumMetode: Penelitian ini merupakan studi analitik prospektif.Total 37 sampel penelitian didapatkan dari wanita yangdidiagnosa tumor ovarium kistik di RSUP Prof. Dr. R. D.Kandou. CA-125, HE4, status menopause dan pemeriksaanUSG dilakukan, dan dibandingkan dengan hasil histopatologi.Data kemudian dianalisa menggunakan program statistikSPSS.Hasil: Tiga puluh tujuh perempuan yang berpartisipasidalam penelitian ini. Dengan rerata usia 43 tahun. TotalArea Under Curve (AUC) dari IOTA ADNEX adalah 0,979dengan sensitivitas 90,0%, spesifi sitas 88,2%, nilai prediksinegatif 89,8%, dan nilai prediksi positif 80,5%. AUC darimodel ROMA adalah 0,734 dengan sensitivitas, spesifi sitas,nilai prediktif negatif dan nilai predikitif positif 65.0%, 64.7%,64.8%, dan 64.8% berturut-turut. Kedua model menunjukkannilai AUC > 0,50 (nilai p <0,05).Kesimpulan: IOTA ADNEX memiliki akurasi yang lebih baikdibandingkan model ROMA dalam memprediksi keganasanovarium epithelial. ADNEX model memiliki sensitivitas danspesifi sitas lebih tinggi dibandingkan model ROMAKata kunci: ADNEX, CA-125, HE4, ROMA, Tumor Ovarium.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
罗马指数和Adnex模型:哪个在预测上皮性卵巢恶性肿瘤方面更优越?
目的:比较ROMA指数和ADNEX模型预测卵巢肿瘤恶性风险的准确性。方法:这是一项前瞻性分析研究。共有37份样本是从中央综合医院教授诊断为卵巢囊性肿瘤的所有年龄段的女性身上采集的。坎杜博士。获得CA-125标志物、HE4标志物、更年期状态和超声检查(USG),并随后与组织病理学检查结果进行比较。数据采用SPSS统计软件进行分析。结果:37名女性参与了这项研究。参与者的平均年龄为43岁。ADNEX的面积曲线下面积(AUC)为0.979,灵敏度为90.0%,特异性为88.2%,阴性预测值为89.8%,阳性预测值为80.5%。ROMA模型的AUC为0.734,灵敏度、特异性、阴性预测值和阳性预测值分别为65.0%、64.7%、64.8%和64.8%。两个模型的AUC值均>0.50(p值<0.05)。结论:IOTA ADNEX在预测卵巢上皮恶性肿瘤方面比ROMA模型具有更好的准确性。ADNEX模型比ROMA模型具有更高的灵敏度和特异性。关键词:ADNEX,CA-125,HE4,肿瘤卵巢,ROMAbstrak目的:比较ROMA和ADNEX指数模型预测肿瘤细胞恐怖活动的准确性方法:本研究是一项前瞻性分析研究。共从RSUP教授R.D.Kandou博士诊断为囊性卵巢肿瘤的女性身上获得37个研究样本。进行CA-125、HE4、更年期状态和USG检查,并与组织病理学结果进行比较。然后使用SPSS统计程序对数据进行分析。结果:37名女性参与了这项研究。43岁。IOTA ADNEX的总曲线下面积(AUC)为0.979,敏感性90.0%,位点特异性88.2%,预测性89.8%,预测性80.5%。ROMA模型的AUC为0.734,敏感性、位点特异性、阴性预测值和阳性预测值分别为65.0%、64.7%、64.8%和64.8%。两个模型的AUC>0.50(p值<0.05)。结论:IOTA ADNEX在预测上皮暴力方面比ROMA模型具有更好的准确性。ADNEX模型比ROMA模型具有更高的敏感性和位点特异性。关键词:ADNEX,CA-125,HE4,ROMA,卵巢肿瘤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Indonesian Journal of Obstetrics and Gynecology
Indonesian Journal of Obstetrics and Gynecology Medicine-Pathology and Forensic Medicine
CiteScore
0.10
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊最新文献
Successful management of an unruptured extrauterine pregnancy in a woman with a history of prior miscarriage in Indonesia: a case report Concordance and Acceptability of HPV DNA Genotyping Test by Patient’s Self-Sampling Against Clinician Sampling Eliminating HPV DNA Positive Result with Large Loop Excision of the Transformation Zone (LLETZ)/Loop Electrosurgical Excision Procedure (LEEP) in Precancerous Cervical Lesions Management of Vulvovaginal Candidiasis in Pregnancy Obstetrics and Gynecology Intensive Care
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1