For quantitative analysis, the regions of interest (ROIs) in the cerebral hemispheres (mean size: 1500 mm2) were drawn manually on the first section above the top slice of the bilateral lateral ventricles. The ROIs in the cerebellum (mean size: 200 mm2) were aimed at minimizing the variances in arterial input function related to the bolus delay among the patients.[20 (link)] To analyze ROIs of PWI, the data were downloaded to workstation (Siemens Syngo Via20) for image postprocessing by using MR Neuro Perfusion software (Siemens, Erlangen, Germany). The values of CBV and CBF were calculated by dividing by cerebellum value of same side and the values of MTT and TTP were calculated by subtracting cerebellum value of same side. For example, detecting CBV value of right hemisphere ((CBV value of right frontal lobe/CBV value of right cerebellar hemisphere) × 100%) and detecting MTT value of right hemisphere (MTT value of right frontal lobe—MTT value of right cerebellar hemisphere) (Fig 1B ).
Syngo via20
Manufactured by Siemens
Sourced in Germany
Syngo Via20 is a software platform developed by Siemens for medical imaging analysis and visualization. It provides tools for the review and interpretation of medical images from various modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET).
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Lab products found in correlation
3 protocols using syngo via20
1
Quantitative Analysis of Cerebral and Cerebellar Perfusion
2
Cerebral Hemodynamics Assessed by DSC-MRI
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One week before and 6 months after surgery, the cerebral hemodynamic status was assessed by dynamic susceptibility contrast magnetic resonance imaging (DSC‐MRI) using a MAGNETOM Skyra 3T MRI scanner (Siemens, Germany) following previously described methods (Qiao et al., 2017 (link)). The acquired DSC‐MR images were processed using a postprocessing workstation (Syngo Via 20, Siemens) and analyzed using the MR Neuro‐Perfusion software. We used the time to peak (TTP; the time at which the contrast level reached its maximum) and the mean relative cerebral blood volume (rCBV; a hemodynamic parameter calculated by MR perfusion) to evaluate the hemodynamic status of the patients.
3
CT-MPI Analysis of Myocardial Perfusion
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CT-MPI images were analyzed with disclosure of which vessels were interrogated by invasive FFR, as well as coronary dominance to ensure correct coronary-myocardial interpretation.
Readers were blinded to the CTA and invasive coronary angiography and all other medical information.
From the MBF map the slice best representing the myocardium associated with the vessel of interest was selected. Within this cross-section a polygonal region of interest (ROI) with a minimal area of 50 mm 2 , was placed to sample the MBF within the suspected perfusion defect (Syngo Via 2.0, Siemens, Forchheim, Germany).
Because CT-MPI studies have demonstrated that the global MBF value varies between patients, an index MBF value was applied with normalization for inter-individual differences in myocardial flow. (12, 14, 15) A prototype software (Cardiac Functional Analysis; Siemens) was used to generate a polar map for MBF, fitting the modified 17-segment AHA myocardial model onto the CT-MPI MBF maps. (16) The index MBF value was calculated as the ratio between the MBF sample and the MBF of the myocardial segment representing the 75 percentile (MBF(LV) 75% ).
Readers were blinded to the CTA and invasive coronary angiography and all other medical information.
From the MBF map the slice best representing the myocardium associated with the vessel of interest was selected. Within this cross-section a polygonal region of interest (ROI) with a minimal area of 50 mm 2 , was placed to sample the MBF within the suspected perfusion defect (Syngo Via 2.0, Siemens, Forchheim, Germany).
Because CT-MPI studies have demonstrated that the global MBF value varies between patients, an index MBF value was applied with normalization for inter-individual differences in myocardial flow. (12, 14, 15) A prototype software (Cardiac Functional Analysis; Siemens) was used to generate a polar map for MBF, fitting the modified 17-segment AHA myocardial model onto the CT-MPI MBF maps. (16) The index MBF value was calculated as the ratio between the MBF sample and the MBF of the myocardial segment representing the 75 percentile (MBF(LV) 75% ).
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