College of Medicine, University of Illinois at Chicago, 1835 W Polk St, Chicago, IL, 60612, USA.
Department of Radiology, University of Illinois at Chicago, 1740 W Taylor Street Rm 2483, (MC 931), Chicago, IL, 60612, USA.
Abdom Radiol (NY). 2019 Sep;44(9):3175-3184. doi: 10.1007/s00261-019-02104-1.
To determine if texture analysis can differentiate placenta accreta spectrum (PAS) from normal placenta on MRI.
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.
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.
Statistically significant differences were found between normal and abnormal groups using standard deviation of pixel intensity and fractal analysis.
探讨纹理分析能否在磁共振成像（MRI）上鉴别胎盘植入谱系疾病（PAS）与正常胎盘。
回顾性分析了 80 例患者，其中 46 例为 PAS 患者，34 例为无 PAS 患者。以组织病理学为参考标准。分析了来自单一机构的矢状位单次激发快速自旋回波 T2 加权 MRI 序列。使用基于 Matlab 平台的内部软件，对胎盘异质性进行量化分析，包括像素强度标准差、变异系数、灰度共生矩阵（GLCM）、直方图梯度（HOG）和分形分析，分形分析的盒子大小从 2 到 512。采用双侧独立样本 t 检验，p 值<0.05 为差异有统计学意义。
PAS 与每个盒子大小的像素强度标准差和分形分析的较高值相关。256 个盒子大小（p=0.011）和 32 个盒子大小（p=0.021）的分形分析以及像素强度标准差（p=0.023）具有统计学意义。PAS 患者的分形值为 0.13，而无 PAS 患者的分形值为 0.090，PAS 患者的像素强度标准差为 3.7，而无 PAS 患者的像素强度标准差为 2.5。未发现 PAS 与 GLCM、变异系数和 HOG 之间存在统计学显著关联。
使用像素强度标准差和分形分析，在正常组和异常组之间发现了具有统计学意义的差异。
