Transverse Relaxation Rate of Cyst Fluid Can Predict Malignant Transformation of Ovarian Endometriosis
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Abstract
PURPOSE: Heme and iron accumulation due to repeated hemorrhage in endometriosis may contribute to a pivotal role in carcinogenesis. We evaluate the clinical application of MR relaxometry in a series of ovarian endometriosis (OE) and endometriosis-associated ovarian cancer (EAOC). MATERIALS AND METHODS: A prospective study of diagnostic accuracy was conducted among 82 patients (67 OE and 15 EAOC) to compare MR relaxometry and biochemical measurement of cyst fluid total iron concentration. Transverse relaxation rate R2 value was determined using a single-voxel, multi-echo MR sequence (HISTO) by a 3T-MR system. Phantom experiments were also performed to assess the correlation between the ex vivo R2 values and total iron concentrations. RESULTS: Both the results of phantom experiments and in vivo human data confirmed that in vivo R2 values were highly correlated with total iron concentrations. Compared to OE, EAOC exhibit decreased in vivo R2 values and total iron levels, regardless of their age, menopausal status and cyst size. The use of in vivo R2 values retained excellent accuracy in distinguishing EAOC versus OE (sensitivity and specificity: 86% and 94%). CONCLUSIONS: We have demonstrated that MR relaxometry provides a noninvasive predictive tool to discriminate between EAOC and OE.
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Cited by (22)
- New Evidence About Malignant Transformation of Endometriosis—A Systematic Review 2025
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- Impact of Surgery for Ovarian Endometriomas on the Outcomes of In Vitro Fertilization 2024
- Oncological aspects of ovarian endometriosis 2024
- Malignancy in Abdominal Wall Endometriosis: Is There a Way to Avoid It? A Systematic Review 2024
- Research progress on correlative prediction factors and prediction models of endometriosis associated ovarian carcinoma 2024
- The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy 2022
- The Endometriotic Neoplasm Algorithm for Risk Assessment (e-NARA) Index Sheds Light on the Discrimination of Endometriosis-Associated Ovarian Cancer from Ovarian Endometrioma 2022
- The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis 2022
- A Novel Predictive Tool for Discriminating Endometriosis Associated Ovarian Cancer from Ovarian Endometrioma: The R2 Predictive Index 2021
- Relationship between Cyst Fluid Concentrations of Iron and Severity of Dysmenorrhea in Patients with Ovarian Endometrioma 2021
- Validation of magnetic resonance relaxometry R2 value and cyst fluid iron level for diagnosis of ovarian endometrioma 2021
- Differentiation between endometriosis-associated ovarian cancers and non- endometriosis-associated ovarian cancers based on magnetic resonance imaging 2021
- Effect of the cyst fluid concentration of iron on infertility in patients with ovarian endometrioma 2020
- Imagerie des transformations malignes de l’endométriose pelvienne 2019
- Quantitative analysis of ovarian cysts and tumors by using T2 star mapping 2019
- Magnetic resonance relaxometry improves the accuracy of conventional MRI in the diagnosis of endometriosis‑associated ovarian cancer: A case report 2019
- A diagnostic challenge of seromucinous borderline tumor 2019
- Malignant Transformation of an Ovarian Endometrioma during Endometriosis Treatment: A Case Report 2018
- Discrimination of malignant transformation from benign endometriosis using a near‑infrared approach 2018
- Modern approaches to noninvasive diagnosis of malignant transformation of endometriosis 2018
- New knowledge and insights about the malignant transformation of endometriosis 2017
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