ArticleJournal of ovarian research2017
The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors.
Article in Journal of ovarian research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review.European radiology · 2020Pooled it
- Magnetic resonance biomarkers in detection and characterisation of ovarian cancer: is magnetic resonance spectroscopy ready for clinical use?Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Review
- Prognostic imaging features of ovarian clear cell carcinoma on multiparametric MRI.Abdominal radiology (New York) · 2026Article
- Radiomics-based MRI model for differentiating ovarian cystadenoma and cystadenocarcinoma.Frontiers in oncology · 2026Article
- Article
- Diagnostic Value of MRI Compared to Histopathological Results in Differentiating Benign from Malignant Ovarian Masses.Maedica · 2024Article
- [Ovarian masses in infants and children].Radiologie (Heidelberg, Germany) · 2024Review
- Article
- Article
- Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.Japanese journal of radiology · 2022Review
- Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors.Journal of ovarian research · 2022Article
- Establishment and Verification of Logistic Regression Model for Qualitative Diagnosis of Ovarian Cancer Based on MRI and Ultrasound Signs.Computational and mathematical methods in medicine · 2022Article
- Radiomics derived from dynamic contrast-enhanced MRI pharmacokinetic protocol features: the value of precision diagnosis ovarian neoplasms.European radiology · 2021Article
- The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas.Journal of ovarian research · 2017Article
- Application Value of Color Doppler Ultrasound and Ultrasound Contrast in the Differential Diagnosis of Ovarian tumor.Pakistan journal of medical sciencesArticle
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4 authors.
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Abstract
backgroundThe study aimed to investigate the utility of dynamic contrast enhanced MRI (DCE-MRI) in the differentiation of malignant, borderline, and benign complex ovarian tumors.
methodsDCE-MRI data of 102 consecutive complex ovarian tumors (benign 15, borderline 16, and malignant 71), confirmed by surgery and histopathology, were analyzed retrospectively. The patterns (I, II, and III) of time-signal intensity curve (TIC) and three semi-quantitative parameters, including enhancement amplitude (EA), maximal slope (MS), and time of half rising (THR), were evaluated and compared among benign, borderline, and malignant ovarian tumors. The types of TIC were compared by Pearson Chi-square χ
resultsFifty-nine of 71 (83%) malignant tumors showed a type-III TIC; 9 of 16 (56%) borderline tumors showed a type-II TIC, and 10 of 15 (67%) benign tumors showed a type-II TIC, with a statistically significant difference between malignant and benign tumors (P < 0.001) and between malignant and borderline tumors (P < 0.001). MS was significantly higher in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.013, respectively). THR was significantly lower in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.007, respectively). There was no statistically significant difference between malignant and borderline tumors in MS and THR (P = 0.19, 0.153) or among malignant, borderline, and benign tumors in EA (all P > 0.05).
conclusionsDCE-MRI is helpful for characterizing complex ovarian tumors; however, semi-quantitative parameters perform poorly when distinguishing malignant from borderline tumors.
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