Literature DB >> 26231948

Differentiation between borderline and benign ovarian tumors: combined analysis of MRI with tumor markers for large cystic masses (≥5 cm).

Sung Yoon Park1, Young Taik Oh2, Dae Chul Jung1.   

Abstract

BACKGROUND: There is overlap in imaging features between borderline and benign ovarian tumors.
PURPOSE: To analyze diagnostic performance of magnetic resonance imaging (MRI) combined with tumor markers for differentiating borderline from benign ovarian tumor.
MATERIAL AND METHODS: Ninety-nine patient with MRI and surgically confirmed ovarian tumors 5 cm or larger (borderline, n = 37; benign, n = 62) were included. On MRI, tumor size, septal number (0; 1-4; 5 or more), and presence of solid portion such as papillary projection or septal thickening 0.5 cm or larger were investigated. Serum tumor markers (carbohydrate antigen 125 [CA 125] and CA 19-9) were recorded. Multivariate analysis was conducted for assessing whether combined MRI with tumor markers could differentiate borderline from benign tumor. The diagnostic performance was also analyzed.
RESULTS: Incidence of solid portion was 67.6% (25/37) in borderline and 3.2% (2/62) in benign tumors (P < 0.05). In all patients, without combined analysis of MRI with tumor markers, multivariate analysis revealed solid portion (P < 0.001) and CA 125 (P = 0.039) were significant for predicting borderline tumors. When combined analysis of MRI with CA 125 ((i) the presence of solid portion or (ii) CA 125 > 44.1 U/mL with septal number ≥5 for borderline tumor) is incorporated to multivariate analysis, it was only significant (P = 0.001). The sensitivity, specificity, PPV, NPV, and accuracy of combined analysis of MRI with CA 125 were 89.1%, 91.9%, 86.8%, 93.4, and 90.9%, respectively.
CONCLUSION: Combined analysis of MRI with CA 125 may allow better differentiation between borderline and benign ovarian tumor compared with MRI alone. © The Foundation Acta Radiologica 2015.

Entities:  

Keywords:  Borderline tumor; CA 125; magnetic resonance imaging (MRI); ovary; tumor marker

Mesh:

Substances:

Year:  2015        PMID: 26231948     DOI: 10.1177/0284185115597266

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  4 in total

1.  MDCT-Based Radiomics Features for the Differentiation of Serous Borderline Ovarian Tumors and Serous Malignant Ovarian Tumors.

Authors:  Xin-Ping Yu; Lei Wang; Hai-Yang Yu; Yu-Wei Zou; Chang Wang; Jin-Wen Jiao; Hao Hong; Shuai Zhang
Journal:  Cancer Manag Res       Date:  2021-01-12       Impact factor: 3.989

2.  Diagnosing Ovarian Cancer on MRI: A Preliminary Study Comparing Deep Learning and Radiologist Assessments.

Authors:  Tsukasa Saida; Kensaku Mori; Sodai Hoshiai; Masafumi Sakai; Aiko Urushibara; Toshitaka Ishiguro; Manabu Minami; Toyomi Satoh; Takahito Nakajima
Journal:  Cancers (Basel)       Date:  2022-02-16       Impact factor: 6.639

3.  T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study.

Authors:  Mingxiang Wei; Yu Zhang; Genji Bai; Cong Ding; Haimin Xu; Yao Dai; Shuangqing Chen; Hong Wang
Journal:  Insights Imaging       Date:  2022-08-09

4.  Evaluation of Ovarian Tumors with Multidetector Computed Tomography and Tumor Markers: Differentiation of Stage I Serous Borderline Tumors and Stage I Serous Malignant Tumors Presenting as Solid-Cystic Mass.

Authors:  Xin-Ping Yu; Ying Liu; Jin-Wen Jiao; Hong-Juan Yang; Rui-Jing Wang; Shuai Zhang
Journal:  Med Sci Monit       Date:  2020-08-17
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.