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自动定量计算机断层扫描分割和分析急性呼吸窘迫综合征的充气肺容积——一项比较诊断研究。

Automatic quantitative computed tomography segmentation and analysis of aerated lung volumes in acute respiratory distress syndrome-A comparative diagnostic study.

机构信息

Department of Anesthesiology, Emergency and Intensive Care Medicine, University Hospital Goettingen, Robert-Koch-Strasse 40, 37075 Goettingen, Germany.

出版信息

J Crit Care. 2017 Dec;42:184-191. doi: 10.1016/j.jcrc.2016.11.001. Epub 2016 Nov 8.

Abstract

Quantitative lung computed tomographic (CT) analysis yields objective data regarding lung aeration but is currently not used in clinical routine primarily because of the labor-intensive process of manual CT segmentation. Automatic lung segmentation could help to shorten processing times significantly. In this study, we assessed bias and precision of lung CT analysis using automatic segmentation compared with manual segmentation. In this monocentric clinical study, 10 mechanically ventilated patients with mild to moderate acute respiratory distress syndrome were included who had received lung CT scans at 5- and 45-mbar airway pressure during a prior study. Lung segmentations were performed both automatically using a computerized algorithm and manually. Automatic segmentation yielded similar lung volumes compared with manual segmentation with clinically minor differences both at 5 and 45 mbar. At 5 mbar, results were as follows: overdistended lung 49.58mL (manual, SD 77.37mL) and 50.41mL (automatic, SD 77.3mL), P=.028; normally aerated lung 2142.17mL (manual, SD 1131.48mL) and 2156.68mL (automatic, SD 1134.53mL), P = .1038; and poorly aerated lung 631.68mL (manual, SD 196.76mL) and 646.32mL (automatic, SD 169.63mL), P = .3794. At 45 mbar, values were as follows: overdistended lung 612.85mL (manual, SD 449.55mL) and 615.49mL (automatic, SD 451.03mL), P=.078; normally aerated lung 3890.12mL (manual, SD 1134.14mL) and 3907.65mL (automatic, SD 1133.62mL), P = .027; and poorly aerated lung 413.35mL (manual, SD 57.66mL) and 469.58mL (automatic, SD 70.14mL), P=.007. Bland-Altman analyses revealed the following mean biases and limits of agreement at 5 mbar for automatic vs manual segmentation: overdistended lung +0.848mL (±2.062mL), normally aerated +14.51mL (±49.71mL), and poorly aerated +14.64mL (±98.16mL). At 45 mbar, results were as follows: overdistended +2.639mL (±8.231mL), normally aerated 17.53mL (±41.41mL), and poorly aerated 56.23mL (±100.67mL). Automatic single CT image and whole lung segmentation were faster than manual segmentation (0.17 vs 125.35seconds [P<.0001] and 10.46 vs 7739.45seconds [P<.0001]). Automatic lung CT segmentation allows fast analysis of aerated lung regions. A reduction of processing times by more than 99% allows the use of quantitative CT at the bedside.

摘要

定量肺部计算机断层扫描(CT)分析提供了有关肺部充气的客观数据,但目前主要由于手动 CT 分割的劳动密集型过程,尚未在临床常规中使用。自动肺分割有助于大大缩短处理时间。在这项研究中,我们评估了使用自动分割与手动分割相比,肺 CT 分析的偏倚和精度。在这项单中心临床研究中,纳入了 10 例患有轻度至中度急性呼吸窘迫综合征的机械通气患者,这些患者在之前的研究中接受了 5 和 45 毫巴气道压力的肺部 CT 扫描。使用计算机算法自动和手动进行了肺分割。与手动分割相比,自动分割产生的肺容积相似,在 5 和 45 mbar 时差异均较小。在 5 mbar 时,结果如下:过度充气肺 49.58mL(手动,SD 77.37mL)和 50.41mL(自动,SD 77.3mL),P=.028;正常充气肺 2142.17mL(手动,SD 1131.48mL)和 2156.68mL(自动,SD 1134.53mL),P =.1038;和充气不良的肺 631.68mL(手动,SD 196.76mL)和 646.32mL(自动,SD 169.63mL),P =.3794。在 45 mbar 时,数值如下:过度充气肺 612.85mL(手动,SD 449.55mL)和 615.49mL(自动,SD 451.03mL),P=.078;正常充气肺 3890.12mL(手动,SD 1134.14mL)和 3907.65mL(自动,SD 1133.62mL),P =.027;和充气不良的肺 413.35mL(手动,SD 57.66mL)和 469.58mL(自动,SD 70.14mL),P =.007。Bland-Altman 分析显示,在 5 mbar 时自动与手动分割的平均偏差和界限如下:过度充气肺+0.848mL(±2.062mL),正常充气+14.51mL(±49.71mL),和充气不良+14.64mL(±98.16mL)。在 45 mbar 时,结果如下:过度充气+2.639mL(±8.231mL),正常充气 17.53mL(±41.41mL),和充气不良 56.23mL(±100.67mL)。自动单次 CT 图像和全肺分割比手动分割快(0.17 秒对 125.35 秒[P<.0001]和 10.46 秒对 7739.45 秒[P<.0001])。自动肺 CT 分割允许快速分析充气的肺区。处理时间减少 99%以上,允许在床边使用定量 CT。

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