Reliability of 3D texture analysis: A multicenter MRI study of the brain. Issue 4 (18th August 2019)

• Record Type: Journal Article
• Authors: Ta, Daniel; Khan, Muhammad; Ishaque, Abdullah; Seres, Peter; Eurich, Dean; Yang, Yee‐Hong; Kalra, Sanjay
• Is Part Of: Journal of magnetic resonance imaging. Volume 51:Issue 4(2020)
• Page Start: 1200
• Page End: 1209
• Publication Date: 2019-08-18
• Subjects: 3D -- texture analysis -- reliability -- multicenter -- test‐retest -- MRI; Magnetic resonance imaging -- Periodicals; 616
• DOI: 10.1002/jmri.26904
• Languages: English
• ISSNs: 1053-1807

Abstract

Abstract : Background: Texture analysis (TA) is an image‐analysis technique that detects complex intervoxel statistical patterns. 3D TA has shown potential in detecting cerebral degeneration not perceptible to the human eye in many neurological disorders. The reliability of this method's application in a multicenter study is unknown. Purpose: To assess the intrasite and intersite reliability of a novel 3D TA method from data acquired systematically from the Canadian ALS Neuroimaging Consortium (CALSNIC). Study Type: Prospective multicenter data with harmonized MR sequence parameters acquired from five sites. Population: Six healthy subjects. Field Strength: 3T 3D‐MPRAGE and 3D‐SPGR T1 ‐weighted MRI of the brain. Assessment: Voxel‐based 3D TA was performed on the whole brain to produce texture maps. Statistical Tests: Intra‐ and intersite reliability of texture features was assessed using a two‐way mixed‐effects model for intraclass correlation coefficients (ICC). ICCs were calculated in a region‐of‐interest (ROI) analysis of predetermined anatomically relevant areas. A voxelwise approach was used to assess the whole brain. Results: In the ROI analyses, intrasite reliability was excellent (ICC > 0.75) across most regions and texture features (autocorrelation [ autoc ], contrast [ contr ], energy [ energ ]). Intersite reliability was excellent for most regions with autoc, ranging from fair to excellent for contr, and ICCs ranging from poor to good (<0.40–0.75) for energ . Voxelwise analyses revealed a large range in ICC across the brain for both intrasite and intersite ICCs (0.0–0.90), with higher reliability in the cortical gray matter compared with deeper subcortical structures. Data Conclusion: Overall, the reliability of 3D TA was highly dependent on texture feature, region studied, and method of analysis (ROI or voxelwise). Intrasite reproducibility was good to excellent, and better than intersite. ROI‐based analyses present higher reliability in comparison with voxelwise analyses. Autoc has overall excellent reliability. These factors might be considered when designing future 3D TA studies. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1200–1209.