ArticleCancers2021
A Novel Predictive Tool for Discriminating Endometriosis Associated Ovarian Cancer from Ovarian Endometrioma: The R2 Predictive Index.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Histologic Subtypes in Endometriosis-Associated Ovarian Cancer and Ovarian Cancer Arising in Endometriosis: A Systematic Review and Meta-Analysis.Reproductive sciences (Thousand Oaks, Calif.) · 2024Pooled it
- Overexpression of FOS enhances the malignant potential of eutopic endometrial stromal cells in patients with endometriosis‑associated ovarian cancer.Oncology reports · 2025Article
- A novel prognostic score of recurrence for endometrial cancer patients with staging surgery.BMC women's health · 2024Article
- Malignancy in Abdominal Wall Endometriosis: Is There a Way to Avoid It? A Systematic Review.Journal of clinical medicine · 2024Review
- Derivation and validation of a nomogram based on clinical characteristics to diagnose endometriosis associated ovarian cancer preoperatively.Journal of cancer research and clinical oncology · 2024Article
- New insights about endometriosis-associated ovarian cancer: pathogenesis, risk factors, prediction and diagnosis and treatment.Frontiers in oncology · 2024Review
- Clinicopathological characteristics, molecular features and novel diagnostic strategies for the detection of malignant transformation of endometriosis (Review).Experimental and therapeutic medicine · 2023Review
- Article
- The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy.Diagnostics (Basel, Switzerland) · 2022Article
- Challenges in Diagnosis and Prevention of Iatrogenic Endometriosis as a Long-Term Surgical Complication after C-Section.International journal of environmental research and public health · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundMagnetic resonance (MR) relaxometry provides a noninvasive tool to discriminate between ovarian endometrioma (OE) and endometriosis-associated ovarian cancer (EAOC), with a sensitivity and specificity of 86% and 94%, respectively. MRI models that can measure R2 values are limited, and the R2 values differ between MRI models. This study aims to extract the factors contributing to the R2 value, and to make a formula for estimating the R2 values, and to assess whether the R2 predictive index calculated by the formula could discriminate EAOC from OE.
methodsThis retrospective study was conducted at our institution from November 2012 to February 2019. A total of 247 patients were included in this study. Patients with benign ovarian tumors mainly received laparoscopic surgery, and the patients suspected of having malignant tumors underwent laparotomy. Information from a chart review of the patients' medical records was collected.
resultsIn the investigative cohort, among potential factors correlated with the R2 value, multiple regression analyses revealed that tumor diameter and CEA could predict the R2 value. In the validation cohort, multivariate analysis confirmed that age, CRP, and the R2 predictive index were the independent factors.
conclusionsThe R2 predictive index is useful and valuable to the detection of the malignant transformation of endometrioma.
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