The Use of Radiolabelled Human Serum Albumin and SPECT/MRI Co-Registration to Study Inflammation in The Cavernous Sinus of Cluster Headache Patients

Cephalalgia ◽  
2006 ◽  
Vol 26 (9) ◽  
pp. 1115-1122 ◽  
Author(s):  
S Schuh-Hofer ◽  
M Richter ◽  
H Israel ◽  
L Geworski ◽  
A Villringer ◽  
...  

A sterile inflammation in the cavernous sinus was hypothesized to underlie cluster headache (CH). Neurogenic inflammation is accompanied by the extravasation of plasma proteins in the surrounding tissue. We tested the hypothesis of an inflammatory process in the cavernous sinus in CH patients using 99mTc-human serum albumin (HSA) and single photon emission computed tomography (SPECT). Six patients with episodic CH were enrolled. After baseline imaging, CH attacks were induced by IV injection of nitroglycerin. The patients remained untreated for 20 min. A second SPECT was performed after successful treatment. Region of interest (ROI) analysis was performed on the basis of coregistered MRI/SPECT data. There was no statistical difference between the 99mTc-HSA uptake in the ipsilateral cavernous sinus before and after induction of an acute CH attack. There was no evidence for 99mTc-HSA extravasation in the cavernous sinus during the active episode as compared with the remission phase. Our results do not support the hypothesis of an inflammation in the cavernous sinus.

Pharmaceutics ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 518
Author(s):  
Si’an Fang ◽  
Yuhao Jiang ◽  
Di Xiao ◽  
Xuran Zhang ◽  
Qianqian Gan ◽  
...  

To develop potential technetium-99m single-photon emission computed tomography (SPECT) imaging agents for bacterial infection imaging, the novel norfloxacin isonitrile derivatives CN4NF and CN5NF were synthesized and radiolabeled with a [99mTc][Tc(I)]+ core to obtain [99mTc]Tc-CN4NF and [99mTc]Tc-CN5NF. These compounds were produced in high radiolabeling yields and showed hydrophilicity and good stability in vitro. The bacterial binding assay indicated that [99mTc]Tc-CN4NF and [99mTc]Tc-CN5NF were specific to bacteria. Compared with [99mTc]Tc-CN4NF, biodistribution studies of [99mTc]Tc-CN5NF showed a higher uptake in bacteria-infected tissues than in turpentine-induced abscesses, indicating that [99mTc]Tc-CN5NF could distinguish bacterial infection from sterile inflammation. In addition, [99mTc]Tc-CN5NF had higher abscess/blood and abscess/muscle ratios. SPECT image of [99mTc]Tc-CN5NF showed that there was a clear accumulation in the infection site, suggesting that it could be a potential bacterial infection imaging radiotracer.


2019 ◽  
Vol 21 ◽  
pp. 104
Author(s):  
A.-N. Rapsomanikis ◽  
E. Gombou ◽  
A. Eleftheriou ◽  
M. Mikeli ◽  
M. Zioga ◽  
...  

The Single Photon Emission Computed Tomography (SPECT) using γ-radiotracers has been established as a standard technique in the physiological and functional Nuclear Imaging. However, anatomical in- formation of the surrounding tissue structure is basically limited by this modality. Therefore, additional techniques, possibly non-ionizing, must be utilized in order to gain such knowledge. SPECT can be alter- natively supported by adding a Time-Resolved Optical Tomographic (TROT) modality. The current work focuses on the feasibility of such a free-off ionizing, compact and low cost optical system. The architecture and the functionality of a time resolving optical construction, by means of a Monte-Carlo optical simulation, is presented in this study. An appropriate geometrical phantom is examined and a total of 24 projections covering the full angle region (0o −360o) are obtained with this optical system. The planar information was further analyzed to reconstruct the tomographic images using Algebraic Reconstruction Techniques (ART). Obtained results from the simulation are presented and the system’s efficiency, regarding spatial and time resolution, is discussed.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi279-vi279
Author(s):  
Ryan Woodall ◽  
David Hormuth ◽  
Michael Abdelmalik ◽  
Chengyue Wu ◽  
Xinzeng Feng ◽  
...  

Abstract 186-Rhenium nanoliposomes (RNL) are an experimental theranostic being investigated for the treatment of recurrent Glioblastoma. While traditional external beam therapy exposures healthy tissue to radiation, RNL has the potential to deliver extremely large doses (> 2000 Gy) of localized radiation, minimally exposing surrounding tissue. RNL is delivered directly to the malignancy by convection-enhanced delivery (CED) via intracranial catheter. For this reason, accurate and precise delivery of RNL to the target region is an imperative. While models of CED for molecular agents exist, we know of no such models for CED of liposomal nanoparticles. To that end, we are developing a patient-specific advection-diffusion model of RNL delivery and distribution, informed by pre-delivery quantitative magnetic resonance imaging (MRI) parameters, and validated by intra-delivery single-photon emission computed tomography (SPECT). Apparent liposome diffusivity and interstitial hydraulic conductivity are spatially informed by diffusion weighted MRI, while the clearance of interstitial fluid is spatially informed by the T1 enhancement ratio after contrast agent delivery. The model output is compared to SPECT images at two time points, acquired mid-way through and immediately following the RNL infusion. At the time of submission, the model has been calibrated by patient-specific data to match the spatiotemporal distribution of RNL in four patients. After calibration, the concordance correlation coefficient between the model and SPECT measurements was 0.80 +/- 0.23 mid-way through the infusion volume, and 0.86 +/- 0.14 immediately post-infusion. The DICE coefficient between the modeled delivery volume and measured delivery volume was 0.86 +/- 0.10 mid-way through the infusion volume, and 0.81 +/- 0.14 immediately post-infusion (reported as mean +/- 95% confidence intervals). These results provide preliminary evidence that the model can capture the spatiotemporal distribution of RNL during and after delivery, and may enable physicians to better plan CED procedures for liposomal nanotherapeutics in the future.


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