DAFS Express可自动分析腰椎L3处的肌肉与脂肪，准确率超95%。
Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level
- 用DAFS Express自动分割MRI图像中的肌肉、内脏脂肪和皮下脂肪。
- 肌肉和皮下脂肪分割准确率超99%，内脏脂肪达95.25%。
- 每张图像仅需18秒，适合科研与临床快速分析。
体成分分析对评估肥胖、肌少症及代谢综合征等健康问题至关重要。磁共振成像（MRI）能清晰显示骨骼肌（SKM）、内脏脂肪组织（VAT）和皮下脂肪组织（SAT），但手动分割耗时费力，限制了其临床应用。本研究验证了一种基于MRI的2D体成分分析自动化工具——数据处理促进套件（DAFS Express），将其自动测量结果与专家手动分割进行对比，使用英国生物银行（UK Biobank）数据集。选取399名参与者，共423个腰椎L3水平切片用于分析。DAFS Express完成自动分割后，由专家人工修正作为金标准。评估指标包括交并比（Jaccard）、Dice系数、组内相关系数（ICC）及Bland-Altman图，以评估分割一致性与可靠性。结果显示，自动与手动分割间一致性极高：平均交并比分别为骨骼肌99.03%、内脏脂肪95.25%、皮下脂肪99.57%；平均Dice系数为骨骼肌99.51%、内脏脂肪97.41%、皮下脂肪99.78%。截面积比较显示，自动测量值与人工值高度一致：骨骼肌（自动132.51 cm² vs 手动132.36 cm²）、皮下脂肪（自动203.39 cm² vs 手动202.85 cm²），内脏脂肪略高（自动137.07 cm² vs 手动134.46 cm²）。ICC均超过0.99，表明极强可靠性。Bland-Altman图显示偏差极小，箱线图显示分布相似。平均单张DICOM图像处理时间仅18秒。该结果证明DAFS Express具有提升研究与临床影像分析效率与准确性的潜力。
原文摘要 · Abstract (English)
Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and metabolic syndromes. MRI provides detailed images of skeletal muscle (SKM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), but their manual segmentation is labor-intensive and limits clinical applicability. This study validates an automated tool for MRI-based 2D body composition analysis- (Data Analysis Facilitation Suite (DAFS) Express), comparing its automated measurements with expert manual segmentations using UK Biobank data. A cohort of 399 participants from the UK Biobank dataset was selected, yielding 423 single L3 slices for analysis. DAFS Express performed automated segmentations of SKM, VAT, and SAT, which were then manually corrected by expert raters for validation. Evaluation metrics included Jaccard coefficients, Dice scores, Intraclass Correlation Coefficients (ICCs), and Bland-Altman Plots to assess segmentation agreement and reliability. High agreements were observed between automated and manual segmentations with mean Jaccard scores: SKM 99.03%, VAT 95.25%, and SAT 99.57%; and mean Dice scores: SKM 99.51%, VAT 97.41%, and SAT 99.78%. Cross-sectional area comparisons showed consistent measurements with automated methods closely matching manual measurements for SKM and SAT, and slightly higher values for VAT (SKM: Auto 132.51 cm^2, Manual 132.36 cm^2; VAT: Auto 137.07 cm^2, Manual 134.46 cm^2; SAT: Auto 203.39 cm^2, Manual 202.85 cm^2). ICCs confirmed strong reliability (SKM: 0.998, VAT: 0.994, SAT: 0.994). Bland-Altman plots revealed minimal biases, and boxplots illustrated distribution similarities across SKM, VAT, and SAT areas. On average DAFS Express took 18 seconds per DICOM. This underscores its potential to streamline image analysis processes in research and clinical settings, enhancing diagnostic accuracy and efficiency.
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