Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors

Abstract Background This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice. Methods A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnose...

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Main Authors: Shuang Zhang, Shan Yu, Wenying Hou, Xiaoying Li, Chunping Ning, Yingnan Wu, Feng Zhang, Yu Fei Jiao, Leo Tsz On Lee, Litao Sun
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Journal of Ovarian Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13048-019-0568-3
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spelling doaj-791089c362824afc8a14413c5ade129c2020-11-25T03:30:26ZengBMCJournal of Ovarian Research1757-22152019-09-011211910.1186/s13048-019-0568-3Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumorsShuang Zhang0Shan Yu1Wenying Hou2Xiaoying Li3Chunping Ning4Yingnan Wu5Feng Zhang6Yu Fei Jiao7Leo Tsz On Lee8Litao Sun9Department of Ultrasound, The Secondary Affiliated Hospital of Harbin Medical UniversityCentre of Reproduction Development and Aging, Faculty of Health Sciences, University of MacauDepartment of Ultrasound, XuanWu Hospital of Capital Medical UniversityDepartment of Ultrasound, The Secondary Affiliated Hospital of Harbin Medical UniversityDepartment of Ultrasound, The Affiliated Hospital of Qingdao UniversityDepartment of Ultrasound, The Secondary Affiliated Hospital of Harbin Medical UniversityDepartment of Ultrasound, The Secondary Affiliated Hospital of Harbin Medical UniversityDepartment of Pathology, The Secondary Affiliated Hospital of Harbin Medical UniversityCentre of Reproduction Development and Aging, Faculty of Health Sciences, University of MacauDepartment of Ultrasound, The Secondary Affiliated Hospital of Harbin Medical UniversityAbstract Background This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice. Methods A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnosed at the Second Affiliated Hospital of Harbin Medical University from January 2012 to December 2016 were enrolled in this retrospective study. Also, we classified these patients into serous borderline ovarian tumor (SBOT) and mucinous borderline ovarian tumor (MBOT) subgroup. Preoperative ultrasound findings, cancer antigen 125 (CA125) and menopausal status were reviewed. The area under the curve (AUC) of receiver operator characteristic curves (ROC) and performance indices of RMI I, RMI II, RMI III and RMI IV were calculated and compared for discrimination between benign ovarian tumors and BOTs. Results RMI I had the highest AUC (0.825, 95% CI: 0.790–0.856) among the four RMIs in BOTs group. Similar results were found in SBOT (0.839, 95% CI: 0.804–0.871) and MBOT (0.791, 95% CI: 0.749–0.829) subgroups. RMI I had the highest specificity among the BOTs group (87.6, 95% CI: 83.9–90.7%), SBOT (87.6, 95% CI: 83.9–90.7%) and MBOT group (87.6, 95% CI: 83.9–90.7%). RMI II scored the highest overall in terms of sensitivity among the BOTs group (69.75, 95% CI: 62.1–76.7%), SBOT (74.34, 95% CI: 65.3–82.1%) and MBOT (59.18, 95% CI: 44.2–73.0%) group. Conclusion Compared to other RMIs, RMI I was the best-performed method for differentiation of BOTs from benign ovarian tumors. At the same time, RMI I also performed best in the discrimination SBOT from benign ovarian tumors.http://link.springer.com/article/10.1186/s13048-019-0568-3Borderline ovarian tumorPreoperative evaluationRisk of malignancy indexDifferential diagnosisBenign ovarian tumor
collection DOAJ
language English
format Article
sources DOAJ
author Shuang Zhang
Shan Yu
Wenying Hou
Xiaoying Li
Chunping Ning
Yingnan Wu
Feng Zhang
Yu Fei Jiao
Leo Tsz On Lee
Litao Sun
spellingShingle Shuang Zhang
Shan Yu
Wenying Hou
Xiaoying Li
Chunping Ning
Yingnan Wu
Feng Zhang
Yu Fei Jiao
Leo Tsz On Lee
Litao Sun
Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
Journal of Ovarian Research
Borderline ovarian tumor
Preoperative evaluation
Risk of malignancy index
Differential diagnosis
Benign ovarian tumor
author_facet Shuang Zhang
Shan Yu
Wenying Hou
Xiaoying Li
Chunping Ning
Yingnan Wu
Feng Zhang
Yu Fei Jiao
Leo Tsz On Lee
Litao Sun
author_sort Shuang Zhang
title Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
title_short Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
title_full Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
title_fullStr Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
title_full_unstemmed Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
title_sort diagnostic extended usefulness of rmi: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
publisher BMC
series Journal of Ovarian Research
issn 1757-2215
publishDate 2019-09-01
description Abstract Background This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice. Methods A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnosed at the Second Affiliated Hospital of Harbin Medical University from January 2012 to December 2016 were enrolled in this retrospective study. Also, we classified these patients into serous borderline ovarian tumor (SBOT) and mucinous borderline ovarian tumor (MBOT) subgroup. Preoperative ultrasound findings, cancer antigen 125 (CA125) and menopausal status were reviewed. The area under the curve (AUC) of receiver operator characteristic curves (ROC) and performance indices of RMI I, RMI II, RMI III and RMI IV were calculated and compared for discrimination between benign ovarian tumors and BOTs. Results RMI I had the highest AUC (0.825, 95% CI: 0.790–0.856) among the four RMIs in BOTs group. Similar results were found in SBOT (0.839, 95% CI: 0.804–0.871) and MBOT (0.791, 95% CI: 0.749–0.829) subgroups. RMI I had the highest specificity among the BOTs group (87.6, 95% CI: 83.9–90.7%), SBOT (87.6, 95% CI: 83.9–90.7%) and MBOT group (87.6, 95% CI: 83.9–90.7%). RMI II scored the highest overall in terms of sensitivity among the BOTs group (69.75, 95% CI: 62.1–76.7%), SBOT (74.34, 95% CI: 65.3–82.1%) and MBOT (59.18, 95% CI: 44.2–73.0%) group. Conclusion Compared to other RMIs, RMI I was the best-performed method for differentiation of BOTs from benign ovarian tumors. At the same time, RMI I also performed best in the discrimination SBOT from benign ovarian tumors.
topic Borderline ovarian tumor
Preoperative evaluation
Risk of malignancy index
Differential diagnosis
Benign ovarian tumor
url http://link.springer.com/article/10.1186/s13048-019-0568-3
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