Eric Chen1, Winnie A Mar2, Jeanne M Horowitz3, Amanda Allen4, Priyanka Jha5, Donald R Cantrell3, Kejia Cai4. 1. College of Medicine, University of Illinois at Chicago, 1835 W Polk St, Chicago, IL, 60612, USA. 2. Department of Radiology, University of Illinois at Chicago, 1740 W Taylor Street Rm 2483, (MC 931), Chicago, IL, 60612, USA. wmar@uic.edu. 3. Northwestern Memorial Hospital, 676 N St Clair St Ste 800, Chicago, IL, 60611, USA. 4. Department of Radiology, University of Illinois at Chicago, 1740 W Taylor Street Rm 2483, (MC 931), Chicago, IL, 60612, USA. 5. Department of Radiology, University of California, San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA, 94131, USA.
Abstract
PURPOSE: To determine if texture analysis can differentiate placenta accreta spectrum (PAS) from normal placenta on MRI. METHODS: We performed retrospective image analysis of 80 patients, comprised of 46 patients with PAS and 34 patients without PAS. Histopathology was used as the reference standard. Sagittal single shot fast spin echo T2-weighted MRI sequences acquired from a single institution were analyzed. Placental heterogeneity was quantified using in-house software on a Matlab platform, including the standard deviation of pixel intensity, coefficient of variation, gray-level co-occurrence matrices (GLCM), histogram-oriented gradients (HOG), and fractal analysis with box sizes from 2 to 512. Two-tailed unpaired Student's t test was used with statistical significance of p < 0.05. RESULTS: PAS was associated with higher values for standard deviation of pixel intensity and fractal analysis at every box size. Fractal analysis at box sizes 256 (p = 0.011) and 32 (p = 0.021), and standard deviation of pixel intensity (p = 0.023) were the most statistically significant. Fractal values at box size 256 for PAS was 0.13 versus 0.090 for patients without PAS, while standard deviation of pixel intensity was 3.7 for PAS versus 2.5 for patients without PAS. No statistically significant association between PAS and GLCM, coefficient of variation, and HOG was found. CONCLUSION: Statistically significant differences were found between normal and abnormal groups using standard deviation of pixel intensity and fractal analysis.
PURPOSE: To determine if texture analysis can differentiate placenta accreta spectrum (PAS) from normal placenta on MRI. METHODS: We performed retrospective image analysis of 80 patients, comprised of 46 patients with PAS and 34 patients without PAS. Histopathology was used as the reference standard. Sagittal single shot fast spin echo T2-weighted MRI sequences acquired from a single institution were analyzed. Placental heterogeneity was quantified using in-house software on a Matlab platform, including the standard deviation of pixel intensity, coefficient of variation, gray-level co-occurrence matrices (GLCM), histogram-oriented gradients (HOG), and fractal analysis with box sizes from 2 to 512. Two-tailed unpaired Student's t test was used with statistical significance of p < 0.05. RESULTS:PAS was associated with higher values for standard deviation of pixel intensity and fractal analysis at every box size. Fractal analysis at box sizes 256 (p = 0.011) and 32 (p = 0.021), and standard deviation of pixel intensity (p = 0.023) were the most statistically significant. Fractal values at box size 256 for PAS was 0.13 versus 0.090 for patients without PAS, while standard deviation of pixel intensity was 3.7 for PAS versus 2.5 for patients without PAS. No statistically significant association between PAS and GLCM, coefficient of variation, and HOG was found. CONCLUSION: Statistically significant differences were found between normal and abnormal groups using standard deviation of pixel intensity and fractal analysis.