Journal of Yeungnam Medical Science

Original articles

Magnetic resonance imaging texture analysis for the evaluation of viable ovarian tissue in patients with ovarian endometriosis: a retrospective case-control study: Dayong Lee, Hyun Jung Lee; J Yeungnam Med Sci. 2022;39(1):24-30. Published online July 15, 2021; DOI: https://doi.org/10.12701/yujm.2021.01165

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Abstract PDF: 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 T-WI 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 (r2=0.211), IDM (r2=0.332), and entropy (r2=0.289).
Conclusion
Magnetic resonance texture analysis could be useful for the evaluation of viable ovarian tissues in patients with ovarian endometriosis.

Usefulness of subtraction pelvic magnetic resonance imaging for detection of ovarian endometriosis: Hyun Jung Lee; Yeungnam Univ J Med. 2020;37(2):90-97. Published online October 10, 2019; DOI: https://doi.org/10.12701/yujm.2019.00353

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3 Crossref

Background
To minimize damage to the ovarian reserve, it is necessary to evaluate the follicular density in the ovarian tissue surrounding endometrioma on preoperative imaging. The purpose of the present study was to evaluate the usefulness of subtraction pelvic magnetic resonance imaging (MRI) to detect ovarian reserve.
Methods
A subtracted T1-weighted image (subT1WI) was obtained by subtracting unenhanced T1WI from contrast-enhanced T1WI (ceT1WI) with similar parameters in 22 patients with ovarian endometrioma. The signal-to-noise ratio (SNR) in ovarian endometrioma, which was classified into the high signal intensity and iso-to-low signal intensity groups on the T2-weighted image, was compared to that in normal ovarian tissue. To evaluate the effect of contrast enhancement, a standardization map was obtained by dividing subT1WI by ceT1WI.
Results
On visual assessment of 22 patients with ovarian endometrioma, 16 patients showed a high signal intensity, and 6 patients showed an iso-to-low signal intensity on T1WI. Although SNR in endometrioma with a high signal intensity was higher than that with an iso-to-low signal intensity, there was no difference in SNR after the subtraction (13.72±77.55 vs. 63.03±43.90, p=0.126). The area of the affected ovary was smaller than that of the normal ovary (121.10±22.48 vs. 380.51±75.87 mm2, p=0.002), but the mean number of pixels in the viable remaining tissue of the affected ovary was similar to that of the normal ovary (0.53±0.09 vs. 0.47±0.09, p=0.682).
Conclusion
The subtraction technique used with pelvic MRI could reveal the extent of endometrial invasion of the normal ovarian tissue and viable remnant ovarian tissue.

Citations

Citations to this article as recorded by

Biaxial ultrasound driving technique for small animal blood–brain barrier opening
Carly Pellow, Siyun Li, Sagid Delgado, G Bruce Pike, Laura Curiel, Samuel Pichardo
Physics in Medicine & Biology.2023; 68(19): 195006. CrossRef
Magnetic resonance imaging texture analysis for the evaluation of viable ovarian tissue in patients with ovarian endometriosis: a retrospective case-control study
Dayong Lee, Hyun Jung Lee
Journal of Yeungnam Medical Science.2022; 39(1): 24. CrossRef
Diagnosis and Nursing Intervention of Gynecological Ovarian Endometriosis with Magnetic Resonance Imaging under Artificial Intelligence Algorithm
Nijie Jiang, Hong Xie, Jiao Lin, Yun Wang, Yanan Yin, Arpit Bhardwaj
Computational Intelligence and Neuroscience.2022; 2022: 1. CrossRef

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