Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

• Published in: Journal of magnetic resonance imaging Vol. 51; no. 5; pp. 1507 - 1513
• Main Authors: Su, Chun‐Qiu, Zhang, Xuan, Pan, Ting, Chen, Xiao‐Tian, Chen, Wen, Duan, Shao‐Feng, Ji, Jing, Hu, Wei‐Xing, Lu, Shan‐Shan, Hong, Xun‐Ning
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2020; Wiley Subscription Services, Inc
• Subjects: Auditory discrimination; Consistency; Diagnostic systems; Diffusion; Diffusion coefficient; Diffusion Magnetic Resonance Imaging; Entropy; Field strength; high b‐value diffusion‐weighted imaging; Humans; Image acquisition; Image segmentation; Magnetic Resonance Imaging; Medical imaging; Parameters; Performance evaluation; Pituitary; pituitary macroadenomas; Pituitary Neoplasms - diagnostic imaging; Population studies; Regression analysis; Retrospective Studies; ROC Curve; Statistical analysis; Statistical tests; Texture; texture analysis; Tumors; pituitary macroadenomas; high b-value diffusion-weighted imaging; texture analysis

Background Preoperative evaluation of the consistency of pituitary macroadenomas is important for neurosurgeons to prepare the surgical plan. Purpose To evaluate the diagnostic performance of texture analysis (TA) of diffusion‐weighted imaging (DWI) at a standard b‐value (b = 1000 s/mm2) and a high...