Magnetic resonance imaging texture analysis for the evaluation of viable ovarian tissue in patients with ovarian endometriosis
Open Access
- 31 January 2022
- journal article
- research article
- Published by Yeungnam University College of Medicine in Journal of Yeungnam Medical Science
- Vol. 39 (1), 24-30
- https://doi.org/10.12701/yujm.2021.01165
Abstract
Background: Texture analysis has been used as a method for quantifying image properties based on textural features. The aim of the present study was to evaluate the usefulness of magnetic resonance imaging (MRI) texture analysis for the evaluation of viable ovarian tissue on the perfusion map of ovarian endometriosis.Methods: To generate a normalized perfusion map, subtracted T1-weighted imaging (T1WI), T1WI and contrast-enhanced T1W1 with sequences were performed using the same parameters in 25 patients with surgically confirmed ovarian endometriosis. Integrated density is defined as the sum of the values of the pixels in the image or selection. We investigated the parameters for texture analysis in ovarian endometriosis, including angular second moment (ASM), contrast, correlation, inverse difference moment (IDM), and entropy, which is equivalent to the product of area and mean gray value.Results: The perfusion ratio and integrated density of normal ovary were 0.52 +/- 0.05 and 238.72 +/- 136.21, respectively. Compared with the normal ovary, the affected ovary showed significant differences in total size (p<0.001), fractional area ratio (p<0.001), and perfusion ratio (p=0.010) but no significant differences in perfused tissue area (p= 0.158) and integrated density (p=0.112). In comparison of parameters for texture analysis between the ovary with endometriosis and the contralateral normal ovary, ASM (p= 0.004), contrast (p=0.002), IDM (p<0.001), and entropy (p=0.028) showed significant differences. A linear regression analysis revealed that fractional area had significant correlations with ASM (r(2)=0.211), IDM (r(2)= 0.332), and entropy (r(2)= 0.289).Conclusion: MRI texture analysis could be useful for the evaluation of viable ovarian tissues in patients with ovarian endometriosis.Keywords
This publication has 22 references indexed in Scilit:
- The distinguishing cellular and molecular features of the endometriotic ovarian cyst: from pathophysiology to the potential endometrioma-mediated damage to the ovaryHuman Reproduction Update, 2013
- MRI in ovarian cancerImaging in Medicine, 2012
- Update on EndometriosisWomen's Health, 2006
- Texture analysis of medical imagesClinical Radiology, 2004
- Three-Dimensional Time-of-Flight Subtraction Angiography of Subacute Cerebral HemorrhageAmerican Journal of Roentgenology, 2003
- Dynamic Subtraction MR Imaging of the Liver: Advantages and PitfallsAmerican Journal of Roentgenology, 2003
- Endometriosis: Radiologic-Pathologic CorrelationRadioGraphics, 2001
- Texture analysis of spinal cord pathology in multiple sclerosisMagnetic Resonance in Medicine, 1999
- Normal ovaries and functional cysts: MR appearance.Radiology, 1996
- Pelvic endometriosis: detection and diagnosis with chemical shift MR imaging.Radiology, 1993