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Sung-Cheng Huang

Publications and source records attributed to Sung-Cheng Huang.

6 recordsLinked to original sources

Noninvasive measurement of myocardial activity concentrations and perfusion defect sizes in rats with a new small-animal positron emission tomograph.

BACKGROUND: We explored the feasibility of measuring regional tracer activity concentrations and flow defects in myocardium of rats with a high spatial resolution small-animal PET system (microPET). METHODS AND RESULTS: Myocardial images were obtained after intravenous (18)F-fluorodeoxyglucose (18FDG) in 11 normal rats (group 1) and assembled into polar maps. Regional 18F activity concentrations were measured in 9 regions of interest and compared with tissue activity concentrations measured by well counting. In another 9 rats (group 2), myocardial perfusion images were acquired with 13N-ammonia at baseline and during coronary occlusion. On the polar maps recorded during coronary occlusion, the size of perfusion defects was measured as the myocardium with <50% of maximum activity and expressed as percent total myocardium and was correlated with the area at risk defined by postmortem staining. The diagnostic quality of 18FDG and 13N-ammonia microPET images was good to excellent; the images were easily assembled into polar maps. In group 1, regional (18)F concentrations by microPET and postmortem were correlated linearly (r=0.99; P<0.01 for average and r=0.97; P<0.01 for regional concentrations). In group 2, perfusion defect sizes by microPET and postmortem were correlated linearly (P<0.01; r=0.93). CONCLUSIONS: The findings indicate the feasibility of noninvasive studies of the myocardium in rats with a dedicated small-animal PET-imaging device.

Animals↗

Differential cerebral metabolic changes with paroxetine treatment of obsessive-compulsive disorder vs major depression.

BACKGROUND: Serotonin reuptake inhibitors (SRIs) effectively treat both major depressive disorder (MDD) and obsessive-compulsive disorder (OCD). We compared and contrasted the functional neuroanatomical effects of SRIs in OCD and MDD as these 2 disorders occurred separately and concurrently by measuring pretreatment to posttreatment cerebral glucose metabolic changes in OCD vs MDD vs concurrent OCD + MDD. METHODS: We obtained [(18)F]fluorodeoxyglucose positron emission tomography (PET) brain scans on 25 subjects with OCD, 25 with MDD, and 16 with concurrent OCD + MDD before and after 8 to 12 weeks of treatment with paroxetine hydrochloride. Controls (n = 16) were scanned 10 to 12 weeks apart without treatment. Treatment response was defined as a more than 25% decline in OCD symptom severity, a more than 50% decline in MDD severity, and "much improved" clinical global impression. RESULTS: Although all patient groups received the same paroxetine dose for the same duration, regional metabolic changes differed significantly among diagnostic groups. Subjects with OCD alone showed significant metabolic decreases in the right caudate nucleus, right ventrolateral prefrontal cortex (VLPFC), bilateral orbitofrontal cortex, and thalamus that were not seen in any other group. Both the MDD and concurrent OCD + MDD groups showed metabolic decreases in the left VLPFC and increases in the right striatum. Treatment response was associated with a decrease in striatal metabolism in nondepressed OCD patients but with an increase in striatal activity in patients with OCD + MDD. CONCLUSIONS: Brain metabolic responses to SRIs are both disorder-specific and response-specific. They vary according to the underlying pathophysiology of the patient and the degree of symptomatic improvement.

Adult↗

Improved parametric image generation using spatial-temporal analysis of dynamic PET studies.

The value of parametric images that represent both spatial distribution and quantification of the physiological parameters of tracer kinetics has long been recognized. However, the inherent high noise level of pixel kinetics of dynamic PET makes it unsuitable to generate parametric images of the microparameters of tracer kinetic model by conventional weighted nonlinear least squares (WNLS) fitting. Based on the concept that both spatial and temporal information should be integrated to improve parametric image quality, a nonlinear ridge regression with spatial constraint (NLRRSC) parametric imaging algorithm was proposed in this study. For NLRRSC, a term that penalizes local spatial variation of parameters was added to the cost function of WNLS fitting. The initial estimates and spatial constraint were estimated by component representation model (CRM) with cluster analysis. A hierarchical cluster with average linkage method was used to extract components. The ridge parameter was determined by linear ridge regression theory at each iteration, and a modified Gauss-Newton algorithm was used for minimizing the cost function. Results from a computer simulation showed that the percent mean square error of estimates obtained by NLRRSC can be decreased by 60-80% compared to that of WNLS. The parametric images estimated by NLRRSC are significantly better than the ones generated by WNLS. A highly correlated linear relationship was found between the ROI values calculated from the microparametric images generated by NLRRSC and estimates from ROI kinetic fitting. NLRRSC provided a reliable estimate of glucose metabolite uptake rate with a comparable image quality compared to Patlak analysis. In conclusion, NLRRSC is a reliable and robust parametric imaging algorithm for dynamic PET studies.

Algorithms↗

The role of dose distribution gradient in the observed ferric ion diffusion time scale in MRI-Fricke-infused gel dosimetry.

Ferric ion diffusion is a detrimental factor in MRI-Fricke-infused gel dosimetry. In this study, a novel approach involving MR image subtraction and a fast image-based dosimetry technique to study ferric ion diffusion effects is presented. The fast image-based approach allows studying dose profile degradation within minutes post-irradiation. The relationship between the rate of dose profile deterioration and dose distribution gradients can be elucidated with the improved imaging temporal resolution also. Our results showed that for a dose distribution with gradient 4 Gy/mm or higher, ferric ion diffusion causes apparent dose profile degradation in 0.5-1 h post-irradiation. For a gradual dose gradient change of 2.1 Gy/mm or smaller, dose profile degradation appears insignificant for a two-hour elapsed diffusion time. These observations agree well with the theoretical analysis of a square dependence between dose profile degradation and dose distribution gradient. Because all stereotactic radiosurgery procedures produce steep dose distributions and because the ideal "snapshot" of MR scanning cannot be achieved, knowledge of the ferric ion diffusion time scale is important in experimental designs in order to avoid potential measurement errors in MRI-Fricke-agarose gel dosimetry.

Diffusion↗

In vivo brain imaging of tangle burden in humans.

Cerebral neurofibrillary tangles (NFTs) accumulate in a predictable sequence decades before the clinical symptoms of Alzheimer's disease emerge, and the degree of tangle degeneration correlates with the severity of cognitive impairment. A valid in vivo marker of tangle burden, therefore, would be useful for presymptomatic and symptomatic disease detection and treatment monitoring. Recent advances using positron emission tomography (PET) indicate the feasibility of in vivo imaging that provides a combined signal of both neurofibrillary tangles and senile plaques. Such results are encouraging that a tangle-specific marker will be found; however, several methodological issues first need to be addressed, including scanner spatial resolution in the relatively small brain regions where tangles accumulate. NFT-specific imaging probes will need to be lipophilic in order to cross the blood-brain barrier and neuronal membranes and have a high binding affinity to NFTs with minimal nonspecific binding, which would result in a high signal-to-background ratio in PET images.

Alzheimer Disease↗

Localization of neurofibrillary tangles and beta-amyloid plaques in the brains of living patients with Alzheimer disease.

The authors used 2-(1-(6-[(2-[18F]fluoroethyl)(methyl)amino]-2-naphthyl)ethylidene)malononitrile ([18F]FDDNP), a hydrophobic radiofluorinated derivative of 2-(1-[6-(dimethylamino)-2-naphthyl]ethylidene)malononitrile (DDNP), in conjunction with positron emission tomography to determine the localization and load of neurofibrillary tangles (NFTs) and beta-amyloid senile plaques (APs) in the brains of living Alzheimer disease (AD) patients. Previous work illustrated the in vitro binding characteristics of [18F]FDDNP to synthetic beta-amyloid(1-40) fibrils and to NFTs and APs in human AD brain specimens. In the present study, greater accumulation and slower clearance was observed in AP- and NFT-dense brain areas and correlated with lower memory performance scores. The relative residence time of the probe in brain regions affected by AD was significantly greater in patients with AD (n=9) than in control subjects (n=7; p=0.0007). This noninvasive technique for monitoring AP and NFT development is expected to facilitate diagnostic assessment of patients with AD and assist in response-monitoring during experimental treatments.

Aged↗