Intellispace portal v7

Myocardial left ventricle (LV) wall and cardiac chambers were semi-automatically segmented on the angiographic scan at 75 % of the cardiac cycle using a commercial software (IntelliSpace Portal v7.0, Philips Healthcare, The Netherlands), as previously described [28 (link)]. Left atrium volume (LAV) was calculated by 3D segmentation and voxel summation, excluding pulmonary vein. LV end-diastolic volume (EDV) was calculated using the 75 % phase LV volume and 75 % phase LAV, according to the prediction model developed by Khatri PJ, et al. [29 (link)]: EDV = (1.021 × 75 %-phase LV volume) + (0.259 × 75 %-phase LAV).
Dense scars were identified and segmented as previously described [28 (link)]. Briefly, they were visually recognized as areas of wall thinning (wall thickness < 5 mm on angiographic images) or as areas of late iodine enhancement [28 (link)]. All scans were realigned using angiographic scan as the reference volume, where mutual information has been used as the similarity measure in the registration process [28 (link)].

Two experienced nuclear medicine physicians read all the images. We exported all the data to the Nebula workstation (IntelliSpace Portal v7.0; Philips; Amsterdam, Netherlands). The TUMOR TRACE software automatically outlined the lesion boundary, followed by automatic calculation of SUVmax and SUVmean. A nuclear medicine physician checked the automatically calculated results.

All patients received a whole-body ¹⁸F-FDG PET/CT scan with a Biograph 64 PET/CT system (Siemens Medical Systems, German). Patients were fasted for 4-6 hours to reach a blood sugar level lower than 6.3mmol/L. Intravenous injection of 5.55MBq/kg ¹⁸F-FDG (radiochemical purity > 95%; provided by Shanghai Kexin Pharmaceutical Co. Ltd.) was administrated according to the body weight of patient 60min before the imaging. All patient took the supine position, and the area from the base of the skull to the middle of the femur was scanned during CT and PET imaging. CT scan was performed using voltage 120kv and current 140mA. Following parameters were applied in the PET scan: 3D model, 2min/ beds, matrix 128*128. After the image acquisition was completed after attenuation correction, ordered subset expectation maximization (2 iterations, 28 subsets) reconstruction was used to obtain PET images. The PET/CT fusion image was obtained by the Siemens post processing workstation. The image was judged by two experienced physicians of nuclear medicine. All data were imported into IntelliSpace Portal v7.0 (Philips Healthcare, The Netherlands) for automatic lesion boundaries processing. SUVmax of ¹⁸F-FDG uptake in lesions were automatically calculated and assessed by two experienced nuclear medicine physicians.