Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas. Issue 5 (26th November 2019)

• Record Type: Journal Article
• 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
• Is Part Of: Journal of magnetic resonance imaging. Volume 51:Issue 5(2020)
• Page Start: 1507
• Page End: 1513
• Publication Date: 2019-11-26
• Subjects: pituitary macroadenomas -- high b‐value diffusion‐weighted imaging -- texture analysis; Magnetic resonance imaging -- Periodicals; 616
• DOI: 10.1002/jmri.26941
• Languages: English
• ISSNs: 1053-1807

Abstract

Abstract : 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/mm 2 ) and a high b ‐value ( b = 2000 s/mm 2 ) for their ability to assess the tumor consistency of pituitary macroadenomas. Study Type: Retrospective. Population/Subjects: Fifty patients with histologically confirmed pituitary macroadenomas were classified as soft ( n = 37) or hard ( n = 13) types. Field Strength/Sequence: Coronal T2 ‐weighted imaging (T2 WI), Readout Segmentation of Long Variable Echo‐trains (RESOLVE) DWI at b = 1000 s/mm 2 and b = 2000 s/mm 2 were acquired with 3.0T MRI. Assessment: The corresponding apparent diffusion coefficient (ADC) maps (ADC1000 and ADC2000 ) were registered to T2 WI. Regions of interest (ROIs) were manually drawn along the solid part of the tumor from the coregistered T2 WI‐ADC images. The texture parameters from T2 WI, ADC1000, and ADC2000 were acquired. Statistical Tests: The texture parameters were compared between the two types by using unpaired Student's t ‐test. Receiver operating characteristic (ROC) curves and logistic regression analyses were used to assess their diagnostic performance. Results: Significant differences in TA parameters of ADC1000 and ADC2000 were observed between soft and hard types ( P < 0.05 for all), whereas the TA of T2 WI resulted in no significant difference ( P > 0.05 for all). TA of ADC2000 provided a superior diagnostic performance compared with that of ADC1000 ( P = 0.038). A combination of mean value and entropy of ADC2000 yielded an AUC, a sensitivity, and a specificity of 0.911, 78.4% and 92.3%, respectively. Data Conclusion: TA of ADC values were useful for assessing the tumor consistency of pituitary macroadenomas. ADC2000 may facilitate better type discrimination. Level of Evidence: 3 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1507–1513.