Foley Robert W, Glenn-Cox Sophie, Rossdale Jennifer, Mynott Georgina, Burnett Tim A, Brown Will J H, Peter Eleanor, Hudson Benjamin J, Ross Rob V MacKenzie, Suntharalingam Jay, Robinson Graham, Rodrigues Jonathan C L
Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Avon, Bath, BA1 3NG, UK.
Department of Respiratory Medicine, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Avon, Bath, BA1 3NG, UK.
Eur Radiol. 2021 Aug;31(8):6013-6020. doi: 10.1007/s00330-020-07605-y. Epub 2021 Jan 18.
To assess the feasibility and reliability of the use of artificial intelligence post-processing to calculate the RV:LV diameter ratio on computed tomography pulmonary angiography (CTPA) and to investigate its prognostic value in patients with acute PE.
Single-centre, retrospective study of 101 consecutive patients with CTPA-proven acute PE. RV and LV volumes were segmented on 1-mm contrast-enhanced axial slices and maximal ventricular diameters were derived for RV:LV ratio using automated post-processing software (IMBIO LLC, USA) and compared to manual analysis in two observers, via intraclass coefficient correlation analysis. Each CTPA report was analysed for mention of the RV:LV ratio and compared to the automated RV:LV ratio. Thirty-day all-cause mortality post-CTPA was recorded.
Automated RV:LV analysis was feasible in 87% (n = 88). RV:LV ratios ranged from 0.67 to 2.43, with 64% (n = 65) > 1.0. There was very strong agreement between manual and automated RV:LV ratios (ICC = 0.83, 0.77-0.88). The use of automated analysis led to a change in risk stratification in 45% of patients (n = 40). The AUC of the automated measurement for the prediction of all-cause 30-day mortality was 0.77 (95% CI: 0.62-0.99).
The RV:LV ratio on CTPA can be reliably measured automatically in the majority of real-world cases of acute PE, with perfect reproducibility. The routine use of this automated analysis in clinical practice would add important prognostic information in patients with acute PE.
• Automated calculation of the right ventricle to left ventricle ratio was feasible in the majority of patients and demonstrated perfect intraobserver variability. • Automated analysis would have added important prognostic information and altered risk stratification in the majority of patients. • The optimal cut-off value for the automated right ventricle to left ventricle ratio was 1.18, with a sensitivity of 100% and specificity of 54% for the prediction of 30-day mortality.
评估在计算机断层扫描肺动脉造影(CTPA)上使用人工智能后处理来计算右心室(RV)与左心室(LV)直径比的可行性和可靠性,并研究其在急性肺栓塞(PE)患者中的预后价值。
对101例经CTPA证实的连续急性PE患者进行单中心回顾性研究。在1毫米对比增强轴位切片上分割RV和LV容积,并使用自动化后处理软件(美国IMBIO LLC公司)得出RV:LV比的最大心室直径,并通过组内相关系数分析与两名观察者的手动分析进行比较。分析每份CTPA报告中是否提及RV:LV比,并与自动化RV:LV比进行比较。记录CTPA后30天的全因死亡率。
87%(n = 88)的患者可行自动化RV:LV分析。RV:LV比范围为0.67至2.43,64%(n = 65)大于1.0。手动和自动化RV:LV比之间存在非常强的一致性(ICC = 0.83,0.77 - 0.88)。45%(n = 40)的患者使用自动化分析导致风险分层改变。自动化测量预测30天全因死亡率的AUC为0.77(95%CI:0.62 - 0.99)。
在大多数急性PE的实际病例中,CTPA上的RV:LV比可以可靠地自动测量,具有完美的可重复性。在临床实践中常规使用这种自动化分析将为急性PE患者增加重要的预后信息。
• 大多数患者可行右心室与左心室比的自动计算,并显示出完美的观察者内变异性。• 自动化分析将为大多数患者增加重要的预后信息并改变风险分层。• 自动化右心室与左心室比的最佳截断值为1.18,预测30天死亡率的敏感性为100%,特异性为54%。