Goo Hyun Woo
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Korean J Radiol. 2021 Jun;22(6):901-911. doi: 10.3348/kjr.2020.0787. Epub 2021 Feb 2.
To evaluate the technical applicability of a semiautomatic three-dimensional (3D) hybrid CT segmentation method for the quantification of right ventricular mass in patients with cardiovascular disease.
Cardiac CT (270 cardiac phases) was used to quantify right ventricular mass using a semiautomatic 3D hybrid segmentation method in 195 patients with cardiovascular disease. Data from 270 cardiac phases were divided into subgroups based on the extent of the segmentation error (no error; ≤ 10% error; > 10% error [technical failure]), defined as discontinuous areas in the right ventricular myocardium. The reproducibility of the right ventricular mass quantification was assessed. In patients with no error or < 10% error, the right ventricular mass was compared and correlated between paired end-systolic and end-diastolic data. The error rate and right ventricular mass were compared based on right ventricular hypertrophy groups.
The quantification of right ventricular mass was technically applicable in 96.3% (260/270) of CT data, with no error in 54.4% (147/270) and ≤ 10% error in 41.9% (113/270) of cases. Technical failure was observed in 3.7% (10/270) of cases. The reproducibility of the quantification was high (intraclass correlation coefficient = 0.999, < 0.001). The indexed mass was significantly greater at end-systole than at end-diastole (45.9 ± 22.1 g/m² vs. 39.7 ± 20.2 g/m², < 0.001), and paired values were highly correlated ( = 0.96, < 0.001). Fewer errors were observed in severe right ventricular hypertrophy and at the end-systolic phase. The indexed right ventricular mass was significantly higher in severe right ventricular hypertrophy ( < 0.02), except in the comparison of the end-diastolic data between no hypertrophy and mild hypertrophy groups ( > 0.1).
CT quantification of right ventricular mass using a semiautomatic 3D hybrid segmentation is technically applicable with high reproducibility in most patients with cardiovascular disease.
评估半自动三维（3D）混合CT分割方法在心血管疾病患者右心室质量定量分析中的技术适用性。
采用心脏CT（270个心动周期），运用半自动3D混合分割方法对195例心血管疾病患者的右心室质量进行定量分析。根据分割误差程度（无误差；误差≤10%；误差>10%[技术失败]，定义为右心室心肌中的不连续区域）将270个心动周期的数据分为亚组。评估右心室质量定量分析的可重复性。在无误差或误差<10%的患者中，比较并关联配对的收缩末期和舒张末期数据的右心室质量。根据右心室肥厚组比较误差率和右心室质量。
右心室质量定量分析在96.3%（260/270）的CT数据中技术上可行，54.4%（147/270）的病例无误差，41.9%（113/270）的病例误差≤10%。3.7%（10/270）的病例出现技术失败。定量分析的可重复性高（组内相关系数=0.999，<0.001）。指数化质量在收缩末期显著高于舒张末期（45.9±22.1 g/m²对39.7±20.2 g/m²；<0.001），配对值高度相关（=0.96，<0.001）。在严重右心室肥厚和收缩末期观察到的误差较少。严重右心室肥厚患者的指数化右心室质量显著更高（<0.02）, 除了无肥厚组和轻度肥厚组舒张末期数据的比较（>0.1）。
使用半自动3D混合分割进行右心室质量的CT定量分析在大多数心血管疾病患者中技术上可行且具有高可重复性。
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