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Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors
OBJECTIVE: This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs). MATERIALS AND METHODS: The study population comprised 477 women with 513 masses who underwent MRI and operati...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783416/ https://www.ncbi.nlm.nih.gov/pubmed/35062992 http://dx.doi.org/10.1186/s13048-021-00920-y |
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author | Xiao, Fuxia Zhang, Lin Yang, Sihua Peng, Kun Hua, Ting Tang, Guangyu |
author_facet | Xiao, Fuxia Zhang, Lin Yang, Sihua Peng, Kun Hua, Ting Tang, Guangyu |
author_sort | Xiao, Fuxia |
collection | PubMed |
description | OBJECTIVE: This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs). MATERIALS AND METHODS: The study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs. RESULTS: The MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006), maximum diameter of the solid portion (P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively. CONCLUSION: In this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance. |
format | Online Article Text |
id | pubmed-8783416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87834162022-01-24 Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors Xiao, Fuxia Zhang, Lin Yang, Sihua Peng, Kun Hua, Ting Tang, Guangyu J Ovarian Res Research OBJECTIVE: This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs). MATERIALS AND METHODS: The study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs. RESULTS: The MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006), maximum diameter of the solid portion (P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively. CONCLUSION: In this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance. BioMed Central 2022-01-22 /pmc/articles/PMC8783416/ /pubmed/35062992 http://dx.doi.org/10.1186/s13048-021-00920-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xiao, Fuxia Zhang, Lin Yang, Sihua Peng, Kun Hua, Ting Tang, Guangyu Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
title | Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
title_full | Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
title_fullStr | Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
title_full_unstemmed | Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
title_short | Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
title_sort | quantitative analysis of the mri features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783416/ https://www.ncbi.nlm.nih.gov/pubmed/35062992 http://dx.doi.org/10.1186/s13048-021-00920-y |
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