Department of Surgical Sciences, Radiology & Nuclear Medicine, Uppsala University, Uppsala, Sweden.
PET Center, Entrance 86, Uppsala University Hospital, 751 85, Uppsala, Sweden.
J Nucl Cardiol. 2022 Oct;29(5):2361-2373. doi: 10.1007/s12350-021-02734-3. Epub 2021 Jul 20.
To develop a method for diagnosing left ventricular (LV) hypertrophy from cardiac perfusion O-water positron emission tomography (PET).
We retrospectively pooled data from 139 subjects in four research cohorts. LV remodeling patterns ranged from normal to severe eccentric and concentric hypertrophy. O-water PET scans (n = 197) were performed with three different PET devices. A low-end scanner (66 scans) was used for method development, and remaining scans with newer devices for a blinded evaluation. Dynamic data were converted into parametric images of perfusable tissue fraction for semi-automatic delineation of the LV wall and calculation of LV mass (LVM) and septal wall thickness (WT). LVM and WT from PET were compared to cardiac magnetic resonance (CMR, n = 47) and WT to 2D-echocardiography (2DE, n = 36). PET accuracy was tested using linear regression, Bland-Altman plots, and ROC curves. Observer reproducibility were evaluated using intraclass correlation coefficients.
High correlations were found in the blinded analyses (r ≥ 0.87, P < 0.0001 for all). AUC for detecting increased LVM and WT (> 12 mm and > 15 mm) was ≥ 0.95 (P < 0.0001 for all). Reproducibility was excellent (ICC ≥ 0.93, P < 0.0001).
O-water PET might detect LV hypertrophy with high accuracy and precision.
开发一种基于心脏灌注 O-水正电子发射断层扫描（PET）诊断左心室（LV）肥厚的方法。
我们回顾性地汇总了来自四个研究队列的 139 名受试者的数据。LV 重构模式从正常到严重偏心和同心肥厚不等。使用三种不同的 PET 设备进行 O-水 PET 扫描（n=197）。低端扫描仪（66 次扫描）用于方法开发，其余使用较新设备的扫描用于盲法评估。动态数据转换为可灌注组织分数的参数图像，用于半自动勾画 LV 壁并计算 LV 质量（LVM）和室间隔壁厚度（WT）。PET 测量的 LVM 和 WT 与心脏磁共振（CMR，n=47）和 WT 与二维超声心动图（2DE，n=36）进行比较。使用线性回归、Bland-Altman 图和 ROC 曲线测试 PET 的准确性。使用组内相关系数评估观察者的可重复性。
在盲法分析中发现了高度相关性（r≥0.87，P<0.0001）。用于检测 LVM 和 WT 增加（>12mm 和>15mm）的 AUC 均≥0.95（P<0.0001）。可重复性极好（ICC≥0.93，P<0.0001）。
O-水 PET 可能以高精度和精密度检测 LV 肥厚。
