Literature DB >> 30353967

Role of proton MR spectroscopy in the differentiation of borderline from malignant epithelial ovarian tumors: A preliminary study.

Feng Hua Ma1,2, Yong Ai Li1, Jia Liu2, Hai Ming Li1, Guo Fu Zhang2, Jin Wei Qiang1.   

Abstract

BACKGROUND: Due to the overlapping imaging appearances between borderline and malignant epithelial ovarian tumors (EOTs), borderline EOTs often represent a diagnostic challenge on conventional MRI. Proton magnetic resonance spectroscopy (1 H-MRS) might have potential to differentiate borderline from malignant tumors.
PURPOSE: To investigate the ability of 1 H-MRS to differentiate borderline from malignant EOTs. STUDY TYPE: Prospective. POPULATION: In all, 278 patients with adnexal masses. FIELD STRENGTH/SEQUENCE: 1.5 T Siemens Avanto MRI system and 1 H-MRS using a point-resolved spectroscopy sequence (PRESS). ASSESSMENT: Resonance peak integrals of the most common metabolites were analyzed and compared between the two groups. STATISTICAL TESTS: The ratios of metabolites between borderline and malignant EOTs were compared with the Mann-Whitney U-test. A receiver operating characteristic (ROC) curve was used to determine their differential diagnosis performances.
RESULTS: In the solid components of borderline and malignant EOTs, the mean Cho/Cr, NAA/Cr, and NAA/Cho ratios were 4.4 ± 1.1 and 9.9 ± 2.8; 10.4 ± 3.0 and 2.2 ± 1.0; and 2.4 ± 0.7 and 0.3 ± 0.1, respectively (all P < 0.001). The sensitivity, specificity, and area under the curve (AUC) were 91%, 100%, and 0.98 for the Cho/Cr ratio; 100%, 98%, and 0.99 for the NAA/Cr ratio; and 100%, 100%, and 1.00 for the NAA/Cho ratio, respectively. In the cystic components, the mean Cho/Cr, NAA/Cr, and NAA/Cho ratios were 3.2 ± 0.8 and 5.1 ± 1.2; 9.1 ± 3.4 and 2.3 ± 1.4; and 2.9 ± 1.2 and 0.5 ± 0.4, respectively (all P < 0.001). The sensitivity, specificity, and AUC were 84%, 82%, and 0.89 for the Cho/Cr ratio; 94%, 97%, and 0.99 for the NAA/Cr ratio; and 94%, 97%, and 0.99 for the NAA/Cho ratio, respectively. DATA
CONCLUSION: The NAA/Cho ratio is a reliable biomarker for differentiating borderline from malignant EOTs. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:1684-1693.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  magnetic resonance imaging; magnetic resonance spectroscopy; ovarian neoplasms

Mesh:

Year:  2018        PMID: 30353967     DOI: 10.1002/jmri.26541

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

1.  Proton MR spectroscopy and the detection of malignancy in ovarian masses.

Authors:  Sahar Mahmoud Mansour; Mohammed Mohammed Mohammed Gomma; Peter Nashaat Shafik
Journal:  Br J Radiol       Date:  2019-07-18       Impact factor: 3.039

2.  In vivo detection of dysregulated choline metabolism in paclitaxel-resistant ovarian cancers with proton magnetic resonance spectroscopy.

Authors:  Jing Lu; Ying Li; Yong Ai Li; Li Wang; An Rong Zeng; Xiao Liang Ma; Jin Wei Qiang
Journal:  J Transl Med       Date:  2022-02-15       Impact factor: 5.531

Review 3.  Serous borderline ovarian tumours: an extensive review on MR imaging features.

Authors:  Hilal Sahin; Asli Irmak Akdogan; Janette Smith; Jeries Paolo Zawaideh; Helen Addley
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

4.  MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review.

Authors:  Lotte W E van Nimwegen; Annelies M C Mavinkurve-Groothuis; Ronald R de Krijger; Caroline C C Hulsker; Angelique J Goverde; József Zsiros; Annemieke S Littooij
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

5.  Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors.

Authors:  Xuefen Liu; Tianping Wang; Guofu Zhang; Keqin Hua; Hua Jiang; Shaofeng Duan; Jun Jin; He Zhang
Journal:  J Ovarian Res       Date:  2022-02-03       Impact factor: 4.234

  5 in total

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