Premium
Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas
Author(s) -
Su ChunQiu,
Zhang Xuan,
Pan Ting,
Chen XiaoTian,
Chen Wen,
Duan ShaoFeng,
Ji Jing,
Hu WeiXing,
Lu ShanShan,
Hong XunNing
Publication year - 2020
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.26941
Subject(s) - effective diffusion coefficient , receiver operating characteristic , nuclear medicine , medicine , diffusion mri , consistency (knowledge bases) , population , magnetic resonance imaging , radiology , mathematics , computer science , artificial intelligence , environmental health
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 T 2 ‐weighted imaging (T 2 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 (ADC 1000 and ADC 2000 ) were registered to T 2 WI. Regions of interest (ROIs) were manually drawn along the solid part of the tumor from the coregistered T 2 WI‐ADC images. The texture parameters from T 2 WI, ADC 1000 , and ADC 2000 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 ADC 1000 and ADC 2000 were observed between soft and hard types ( P < 0.05 for all), whereas the TA of T 2 WI resulted in no significant difference ( P > 0.05 for all). TA of ADC 2000 provided a superior diagnostic performance compared with that of ADC 1000 ( P = 0.038). A combination of mean value and entropy of ADC 2000 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. ADC 2000 may facilitate better type discrimination. Level of Evidence: 3 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1507–1513.