Clinical Interpretation of Brain PET Scans: Performing Visual Assessments, Providing Quantifying Data, and Generating Integrated Reports

Author(s):  
Daniel H.S. Silverman
2020 ◽  
Vol 83 (1) ◽  
pp. 65-72
Author(s):  
Chang Qi ◽  
Jia-Tang Zhang ◽  
Wei Zhao ◽  
Xiao-Wei Xing ◽  
Sheng-Yuan Yu

Background: Sporadic Creutzfeldt-Jakob disease (sCJD) is an extremely rare fatal and infectious neurodegenerative brain disorder characterized by rapidly progressive dementia, cerebellar ataxia, and visual disturbances. This article summarizes the retrospective analysis of 104 sCJD patients in the First Medical Center of Chinese PLA General Hospital from 2003 to 2019. Methods: A retrospective analysis of the medical records of the 104 patients diagnosed with sCJD was performed from the aspects of demographic data, clinical manifestations, laboratory examinations, cerebrospinal fluid analysis, electroencephalograms (EEGs), diffusion-weighted imaging (DWI) scans, positron emission tomography (PET) scans, and prion protein gene mutations. Results: In the 104 sCJD patients, pathological evidence of a spongiform change was found in 11 patients, while the remaining 93 patients were probable sCJD. The 104 patients included 57 males and 47 females, with the age of onset ranging from 29 to 82 (mean: 58, median: 60) years. The time from disease onset to death ranged from 1 to 36 months. Most of the patients died 7–12 months after the onset of sCJD. In most patients, rapidly progressive dementia appeared as the initial symptom, followed by cerebellar ataxia, visual disturbances, and neurobehavioral disorders. Most patients’ DWI images showed symmetric or asymmetric hyperintensity in the cortex. In terms of EEGs, 38.2% of the patients had periodic sharp wave complexes. The sensitivity of 14-3-3 protein detection was 34.1%. The brain PET scans of 50 patients with sCJD presented 96% sensitivity for the diagnosis of sCJD. Conclusions: This study indicated that sCJD occurred at an early age in patients in China. The sensitivity of 14-3-3 protein detection was significantly low, but brain PET was highly sensitive in the diagnosis of sCJD.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Daniela Ribeiro ◽  
William Hallett ◽  
Adriana A. S. Tavares

Abstract Background Q.Clear is a Bayesian penalized likelihood (BPL) reconstruction algorithm that presents improvements in signal-to-noise ratio (SNR) in clinical positron emission tomography (PET) scans. Brain studies in research require a reconstruction that provides a good spatial resolution and accentuates contrast features however, filtered back-projection (FBP) reconstruction is not available on GE SIGNA PET-Magnetic Resonance (PET-MR) and studies have been reconstructed with an ordered subset expectation maximization (OSEM) algorithm. This study aims to propose a strategy to approximate brain PET quantitative outcomes obtained from images reconstructed with Q.Clear versus traditional FBP and OSEM. Methods Contrast recovery and background variability were investigated with the National Electrical Manufacturers Association (NEMA) Image Quality (IQ) phantom. Resolution, axial uniformity and SNR were investigated using the Hoffman phantom. Both phantoms were scanned on a Siemens Biograph 6 TruePoint PET-Computed Tomography (CT) and a General Electric SIGNA PET-MR, for FBP, OSEM and Q.Clear. Differences between the metrics obtained with Q.Clear with different β values and FBP obtained on the PET-CT were determined. Results For in plane and axial resolution, Q.Clear with low β values presented the best results, whereas for SNR Q.Clear with higher β gave the best results. The uniformity results are greatly impacted by the β value, where β < 600 can yield worse uniformity results compared with the FBP reconstruction. Conclusion This study shows that Q.Clear improves contrast recovery and provides better resolution and SNR, in comparison to OSEM, on the PET-MR. When using low β values, Q.Clear can provide similar results to the ones obtained with traditional FBP reconstruction, suggesting it can be used for quantitative brain PET kinetic modelling studies.


eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Peristera-Ioanna Petropoulou ◽  
Ioanna Mosialou ◽  
Steven Shikhel ◽  
Lihong Hao ◽  
Konstantinos Panitsas ◽  
...  

In the mouse, the osteoblast-derived hormone Lipocalin-2 (LCN2) suppresses food intake and acts as a satiety signal. We show here that meal challenges increase serum LCN2 levels in persons with normal or overweight, but not in individuals with obesity. Postprandial LCN2 serum levels correlate inversely with hunger sensation in challenged subjects. We further show through brain PET scans of monkeys injected with radiolabeled recombinant human LCN2 (rh-LCN2) and autoradiography in baboon, macaque, and human brain sections, that LCN2 crosses the blood-brain barrier and localizes to the hypothalamus in primates. In addition, daily treatment of lean monkeys with rh-LCN2 decreases food intake by 21%, without overt side effects. These studies demonstrate the biology of LCN2 as a satiety factor and indicator and anorexigenic signal in primates. Failure to stimulate postprandial LCN2 in individuals with obesity may contribute to metabolic dysregulation, suggesting that LCN2 may be a novel target for obesity treatment.


Radiology ◽  
2011 ◽  
Vol 258 (3) ◽  
pp. 714-721 ◽  
Author(s):  
Ori Preis ◽  
Michael A. Blake ◽  
James A. Scott

2005 ◽  
Vol 38 (19) ◽  
pp. 83
Author(s):  
PAM HARRISON

Sign in / Sign up

Export Citation Format

Share Document