Rahbar Habib, Kurland Brenda F, Olson Matthew L, Kitsch Averi E, Scheel John R, Chai Xiaoyu, Usoro Joshua, Lehman Constance D, Partridge Savannah C
From the *Breast Imaging Section, Department of Radiology, Seattle Cancer Care Alliance, University of Washington, Seattle, WA; †Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
J Comput Assist Tomogr. 2016 May-Jun;40(3):428-35. doi: 10.1097/RCT.0000000000000372.
To determine whether a semiautomated voxel selection technique improves interreader reproducibility for breast apparent diffusion coefficient (ADC) measurements.
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).
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).
A semiautomated voxel selection tool can improve interreader reproducibility of breast lesion ADC measures.
确定一种半自动体素选择技术是否能提高乳腺表观扩散系数（ADC）测量中阅片者之间的可重复性。
三名阅片者回顾性地对26名女性的31个乳腺病变（16个恶性，15个良性）及对侧正常组织进行ADC测量，一次无辅助（手动方法），另一次借助半自动软件工具进行，该工具可排除低于动态指定信号强度阈值的体素。通过Bland-Altman分析和一致性相关系数（CCC）评估每种技术在阅片者之间的可重复性。
与手动方法相比，使用半自动工具时阅片者测得的病变ADC值之间的差异更小。对于病变，每种阅片者组合的一致性相关系数在使用半自动工具时更高（平均CCC差异为0.11；95%置信区间为0.04 - 0.26）。对于正常组织，阅片者之间的一致性低于病变情况，且基于软件工具并无差异（平均CCC差异为0.00；95%置信区间为 - 0.14至0.13）。
半自动体素选择工具可提高乳腺病变ADC测量中阅片者之间的可重复性。
