Diffusion-Weighted Breast Magnetic Resonance Imaging: A Semiautomated Voxel Selection Technique Improves Interreader Reproducibility of Apparent Diffusion Coefficient Measurements. Issue 3 (May 2016)

• Record Type: Journal Article
• Authors: Rahbar, Habib; Kurland, Brenda F.; Olson, Matthew L.; Kitsch, Averi E.; Scheel, John R.; Chai, Xiaoyu; Usoro, Joshua; Lehman, Constance D.; Partridge, Savannah C.
• Is Part Of: Journal of computer assisted tomography. Volume 40:Issue 3(2016)
• Publication Date: 2016-05
• Subjects: diffusion-weighted imaging -- breast -- apparent diffusion coefficient -- reproducibility -- region of interest; Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000000372
• Languages: English
• ISSNs: 0363-8715

Abstract

Abstract : Objective: To determine whether a semiautomated voxel selection technique improves interreader reproducibility for breast apparent diffusion coefficient (ADC) measurements. Methods: Three readers retrospectively performed ADC measurements of 31 breast lesions (16 malignant, 15 benign) and contralateral normal tissue in 26 women both unassisted (manual method) and assisted by a semiautomated software tool that excludes voxels below a dynamically specified signal intensity threshold. Reproducibility between readers for each technique was assessed by Bland-Altman analysis and concordance correlation coefficients (CCCs). Results: Differences between readers' measured ADCs of lesions were smaller with the semiautomated tool vs the manual method. Concordance correlation coefficients for each reader pair were greater with the semiautomated tool for lesions (mean CCC difference, 0.11; 95% confidence interval, 0.04–0.26). For normal tissue, reader agreement was lower than for lesions and did not differ based on software tools (mean CCC difference, 0.00; 95% confidence interval, −0.14 to 0.13). Conclusions: A semiautomated voxel selection tool can improve interreader reproducibility of breast lesion ADC measures.