Borderline and malignant ovarian epithelial tumors: differentiating using multiparameter MRI.
Uložené v:
| Názov: | Borderline and malignant ovarian epithelial tumors: differentiating using multiparameter MRI. |
|---|---|
| Autori: | Zhang XL; Department of Radiology, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, People's Republic of China., Gu HL; Department of Radiology, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, People's Republic of China., Tian ZF; Department of Radiology, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, People's Republic of China., Yao Y; Department of Radiology, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, People's Republic of China., Xu XQ; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China., Tang WW; Department of Radiology, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, People's Republic of China. |
| Zdroj: | The British journal of radiology [Br J Radiol] 2025 Oct 01; Vol. 98 (1174), pp. 1706-1712. |
| Spôsob vydávania: | Journal Article |
| Jazyk: | English |
| Informácie o časopise: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0373125 Publication Model: Print Cited Medium: Internet ISSN: 1748-880X (Electronic) Linking ISSN: 00071285 NLM ISO Abbreviation: Br J Radiol Subsets: MEDLINE |
| Imprint Name(s): | Publication: January 2024- : [Oxford] : Oxford University Press Original Publication: London, British Institute of Radiology. |
| Výrazy zo slovníka MeSH: | Ovarian Neoplasms*/diagnostic imaging , Ovarian Neoplasms*/pathology , Carcinoma, Ovarian Epithelial*/diagnostic imaging , Carcinoma, Ovarian Epithelial*/pathology , Multiparametric Magnetic Resonance Imaging*/methods , Magnetic Resonance Imaging*/methods, Humans ; Female ; Middle Aged ; Retrospective Studies ; Diagnosis, Differential ; Adult ; Aged ; Contrast Media ; Diffusion Magnetic Resonance Imaging/methods ; Ovary/diagnostic imaging ; Sensitivity and Specificity ; Young Adult |
| Abstrakt: | Objectives: To evaluate the value of multiparameter MRI (mp-MRI) including conventional MRI image features, diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating borderline from malignant ovarian epithelial tumors (OETs). Methods: Forty-three patients with borderline OETs (BOETs) and 119 patients with malignant OETs (MOETs) who underwent mp-MRI examinations for pre-treatment assessment were respectively enrolled. Conventional MRI features (eg, tumor shape, configuration, signal intensity [SI] on T1WI and T2WI) were retrospectively analyzed. Apparent diffusion coefficient (ADC), and DCE-MRI derived parameters (rel-enhancement [RELENH], time to peak [TTP], wash-in-rate [WIR], and wash-out-rate [WOR]) were evaluated. Independent samples t-test, Mann-Whitney U test, χ2 test, multivariate logistic regression analysis, binary logistic regression, and receiver operating characteristic (ROC) curve analyses were employed as appropriate. Results: BOETs group showed significantly lower age than MOETs group (P < .001). Multivariate logistic regression analysis indicated that tumor configuration was the independent imaging features associated with MOETs (P < .001). BOETs group showed significantly higher ADC value than MOETs group (P < .001). Among DCE-MRI derived parameters, MOETs group showed significantly shorter TTP than BOETs (P = .014). ROC analyses indicated that a combination of age ≥ 43.5 years old + non-cystic predominant type + ADC ≤ 1.05 × 10-3 mm2/s + TTP ≤ 238.87 s showed the highest efficiency (AUC, 0.930; sensitivity, 84.9%; specificity, 86.0%) in diagnosing MOETs, which was significantly higher than that of age (P = .002), configuration (P < .001), ADC (P = .027), and TTP (P < .001) alone. Conclusions: mp-MRI might be effective in differentiating MOETs from BOETs. Advances in Knowledge: The study which combining conventional MRI, DWI, and DCE-MRI for differentiating BOETs from MOETs is still lacked until now. What is more, the study may be more accurate for the differentiation of borderline malignancy or low-grade malignant potential tumors. (© The Author(s) 2025. Published by Oxford University Press on behalf of the British Institute of Radiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.) |
| Contributed Indexing: | Keywords: differentiating diagnosis; diffusion-weighted imaging; dynamic contrast-enhanced MRI; ovarian epithelial neoplasms |
| Substance Nomenclature: | 0 (Contrast Media) |
| Entry Date(s): | Date Created: 20250812 Date Completed: 20251011 Latest Revision: 20251011 |
| Update Code: | 20251012 |
| DOI: | 10.1093/bjr/tqaf188 |
| PMID: | 40794546 |
| Databáza: | MEDLINE |
Nájsť tento článok vo Web of Science | Abstrakt: | Objectives: To evaluate the value of multiparameter MRI (mp-MRI) including conventional MRI image features, diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating borderline from malignant ovarian epithelial tumors (OETs).<br />Methods: Forty-three patients with borderline OETs (BOETs) and 119 patients with malignant OETs (MOETs) who underwent mp-MRI examinations for pre-treatment assessment were respectively enrolled. Conventional MRI features (eg, tumor shape, configuration, signal intensity [SI] on T1WI and T2WI) were retrospectively analyzed. Apparent diffusion coefficient (ADC), and DCE-MRI derived parameters (rel-enhancement [RELENH], time to peak [TTP], wash-in-rate [WIR], and wash-out-rate [WOR]) were evaluated. Independent samples t-test, Mann-Whitney U test, χ2 test, multivariate logistic regression analysis, binary logistic regression, and receiver operating characteristic (ROC) curve analyses were employed as appropriate.<br />Results: BOETs group showed significantly lower age than MOETs group (P < .001). Multivariate logistic regression analysis indicated that tumor configuration was the independent imaging features associated with MOETs (P < .001). BOETs group showed significantly higher ADC value than MOETs group (P < .001). Among DCE-MRI derived parameters, MOETs group showed significantly shorter TTP than BOETs (P = .014). ROC analyses indicated that a combination of age ≥ 43.5 years old + non-cystic predominant type + ADC ≤ 1.05 × 10-3 mm2/s + TTP ≤ 238.87 s showed the highest efficiency (AUC, 0.930; sensitivity, 84.9%; specificity, 86.0%) in diagnosing MOETs, which was significantly higher than that of age (P = .002), configuration (P < .001), ADC (P = .027), and TTP (P < .001) alone.<br />Conclusions: mp-MRI might be effective in differentiating MOETs from BOETs.<br />Advances in Knowledge: The study which combining conventional MRI, DWI, and DCE-MRI for differentiating BOETs from MOETs is still lacked until now. What is more, the study may be more accurate for the differentiation of borderline malignancy or low-grade malignant potential tumors.<br /> (© The Author(s) 2025. Published by Oxford University Press on behalf of the British Institute of Radiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.) |
|---|---|
| ISSN: | 1748-880X |
| DOI: | 10.1093/bjr/tqaf188 |