Acute Myelomonoblastic Leukemia (My1/De): A Preclinical Rat Model.

BACKGROUND/AIM: Since acute myeloid leukemias still represent the most aggressive type of adult acute leukemias, the profound understanding of disease pathology is of paramount importance for diagnostic and therapeutic purposes. Hence, this study aimed to explore the real-time disease fate with the establishment of an experimental myelomonoblastic leukemia (My1/De) rat model using preclinical positron emission tomography (PET) and whole-body autoradiography. MATERIALS AND METHODS: In vitro [18F]F-FDG uptake studies were performed to compare the tracer accumulation in the newly cultured My1/De tumor cell line (blasts) with that in healthy control and My1/De bone marrow suspensions. Post transplantation of My1/De cells under the left renal capsule of Long-Evans rats, primary My1/De tumorigenesis, and metastatic propagation were investigated using [18F]F-FDG PET imaging, whole-body autoradiography and phosphorimage analyses. To assess the organ uptake profile of the tumor-carrying animals we accomplished ex vivo biodistribution studies. RESULTS: The tracer accumulation in the My1/De culture cells exceeded that of both the tumorous and the healthy bone marrow suspensions (p<0.01). Based on in vivo imaging, the subrenally transplanted My1/De cells resulted in the development of leukemia in the abdominal organs, and metastasized to the mesenterial and thoracic parathymic lymph nodes (PTLNs). The lymphatic spread of metastasis was further confirmed by the significantly higher %ID/g values of the metastatic PTLNs (4.25±0.28) compared to the control (0.94±0.34). Cytochemical staining of the peripheral blood, autopsy findings, and wright-Giemsa-stained post-mortem histological sections proved the leukemic involvement of the assessed tissues/organs. CONCLUSION: The currently established My1/De model appears to be well-suited for further leukemia-related therapeutic and diagnostic investigations.

Concomitant [18F]F-FAZA and [18F]F-FDG Imaging of Gynecological Cancer Xenografts: Insight into Tumor Hypoxia.

BACKGROUND/AIM: Herein we assessed the feasibility of imaging protocols using both hypoxia-specific [18F]F-FAZA and [18F]F-FDG in bypassing the limitations derived from the non-specific findings of [18F]F-FDG PET imaging of tumor-related hypoxia. MATERIALS AND METHODS: CoCl2-generated hypoxia was induced in multidrug resistant (Pgp+) or sensitive (Pgp-) human ovarian (Pgp- A2780, Pgp+ A2780AD), and cervix carcinoma (Pgp- KB-3-1, Pgp+ KB-V-1) cell lines to establish corresponding tumor-bearing mouse models. Prior to [18F]F-FDG/[18F]F-FAZA-based MiniPET imaging, in vitro [18F]F-FDG uptake measurements and western blotting were used to verify the presence of hypoxia. RESULTS: Elevated GLUT-1, and hexokinase enzyme-II expression driven by CoCl2-induced activation of hypoxia-inducible factor-1α explains enhanced cellular [18F]F-FDG accumulation. No difference was observed in the [18F]F-FAZA accretion of Pgp+ and Pgp- tumors. Tumor-to-muscle ratios for [18F]F-FAZA measured at 110-120 min postinjection (6.2±0.1) provided the best contrasted images for the delineation of PET-oxic and PET-hypoxic intratumor regions. Although all tumors exhibited heterogenous uptake of both radiopharmaceuticals, greater differences for [18F]F-FAZA between the tracer avid and non-accumulating regions indicate its superiority over [18F]F-FDG. Spatial correlation between [18F]F-FGD and [18F]F-FAZA scans confirms that hypoxia mostly occurs in regions with highly active glucose metabolism. CONCLUSION: The addition of [18F]F-FAZA PET to [18F]F-FGD imaging may add clinical value in determining hypoxic sub-regions.

[Coding of laboratory parameters using the LOINC system at the Clinical Center of the University of Debrecen]. / Laboratóriumi paraméterek kódolása a LOINC-rendszer szerint a Debreceni Egyetem Klinikai Központjában.

INTRODUCTION: The research utility of the bulk of the medical data generated at the Clinical Center of the University of Debrecen, which is constituted mainly by the clinical diagnostic laboratory results and medical images, is quite constrained in its present unstandardized form. The primary aim of the Big Data Research and Development project at the University of Debrecen is to facilitate data transformation and standardization to propagate its research utility for the potential end-users. Data generated in the in vitro diagnostic laboratory setting are an ideal candidate for the aforementioned goals. Data generated in Hungarian language in this particular setting are typically acronyms that do not particularly confirm to any standard norms and the transformation of these data using the globally acknowledged Logical Observation Identifiers Names and Codes (LOINC) was the primary goal of this research project. Globally the LOINC is used by healthcare providers, government agencies, insurance companies, software and device manufacturers, researchers and reference laboratories for identifying medical laboratory observations and promote unhindered fluency between various systems. OBJECTIVE: The aim of the project was to assure compliance of the various routine diagnostic laboratory parameters (n = 448) generated at the Department of Laboratory Medicine of the University of Debrecen to the LOINC system paying particular attention to and accommodating data sensitive to timeline and methodology. METHODS: Keywords allocated to individual parameters determined by the laboratory were provided by the IT service provider of the facility. The individual codes for the various parameters were manually identified using the search engine of the LOINC database available at http://www.loinc.org, only upon attainment of proficiency in use of the database and ample familiarity with the scientific literature on the topic. RESULTS: All routine diagnostic laboratory parameters were LOINC coded with no exception. The list of LOINCs' was made available on the https://labmed.unideb.hu/hu/loinc-tablazatok web link of the University of Debrecen. CONCLUSION: The transformation of diagnostic laboratory parameters to globally recognized LOINCs' improves and further facilitates the international integration of data generated at the University of Debrecen, furthermore propels communications between laboratories and parties of interest beyond international boundaries and borders. Orv Hetil. 2023; 164(27): 1043-1051.

In vivo assessment of tumor targeting potential of 68Ga-labelled randomly methylated beta-cyclodextrin (RAMEB) and 2-hydroxypropyl-ß-cyclodextrin (HPßCD) using positron emission tomography.

Cyclodextrin derivates (CyDs) can form complexes with cyclooxygenase-2 induced tumor promoting prostaglandin E2 (PGE2). Based on our previous observations, 68Ga-labelled CyDs may represent promising radiopharmaceuticals in the positron emission tomography (PET) diagnostics of PGE2 positive tumors. We aimed at evaluating the tumor-targeting potential of 68Ga-NODAGA conjugated randomly methylated beta-cyclodextrin (68Ga-NODAGA-RAMEB) and 2-hydroxypropyl-ß-cyclodextrin (68Ga-NODAGA-HPßCD) using in vivo PET imaging with experimental tumor models. Tumor radiopharmaceutical uptake was assessed applying PET and gamma counter in vivo and ex vivo respectively, following the administration of 18FDG, 68Ga-NODAGA-RAMEB or 68Ga-NODAGA-HPßCD via the lateral tail vein to the subsequent tumor-bearing animals: HT1080, A20, PancTu-1, BxPC3, B16-F10, Ne/De and He/De. All investigated tumors were identifiable with both 68Ga-labelled CyDs; however, in vivo results, in correlation with the ex vivo data, revealed that the PGE2 positive BxPC3, A20, Ne/De and He/De tumors presented the highest accumulation. In case of HT1080, A20, B16-F10 tumors significant differences were encountered between the accumulations of both 68Ga-labelled radiopharmaceuticals of the same tumor. Subcutaneously and the orthotopically transplanted Ne/De tumors differed significantly (p ≤ 0.01) regarding tracer uptake. 68Ga-labelled CyDs may open a novel field in the PET diagnostics of PGE2 positive primary tumors and metastases.

Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity.

Type 2 diabetes mellitus (T2DM) is reported to cause widespread changes in brain function, leading to cognitive impairments. Research using resting-state functional magnetic resonance imaging data already aims to understand functional changes in complex brain connectivity systems. However, no previous studies with dynamic causal modelling (DCM) tried to investigate large-scale effective connectivity in diabetes. We aimed to examine the differences in large-scale resting state networks in diabetic and obese patients using combined DCM and graph theory methodologies. With the participation of 70 subjects (43 diabetics, 27 obese), we used cross-spectra DCM to estimate connectivity between 36 regions, subdivided into seven resting networks (RSN) commonly recognized in the literature. We assessed group-wise connectivity of T2DM and obesity, as well as group differences, with parametric empirical Bayes and Bayesian model reduction techniques. We analyzed network connectivity globally, between RSNs, and regionally. We found that average connection strength was higher in T2DM globally and between RSNs, as well. On the network level, the salience network shows stronger total within-network connectivity in diabetes (8.07) than in the obese group (4.02). Regionally, we measured the most significant average decrease in the right middle temporal gyrus (-0.013 Hz) and the right inferior parietal lobule (-0.01 Hz) relative to the obese group. In comparison, connectivity increased most notably in the left anterior prefrontal cortex (0.01 Hz) and the medial dorsal thalamus (0.009 Hz). In conclusion, we find the usage of complex analysis of large-scale networks suitable for diabetes instead of focusing on specific changes in brain function.

PET Probes for Preclinical Imaging of GRPR-Positive Prostate Cancer: Comparative Preclinical Study of [68Ga]Ga-NODAGA-AMBA and [44Sc]Sc-NODAGA-AMBA.

Gastrin-releasing peptide receptors (GRPR) are overexpressed in prostate cancer (PCa). Since bombesin analogue aminobenzoic-acid (AMBA) binds to GRPR with high affinity, scandium-44 conjugated AMBA is a promising radiotracer in the PET diagnostics of GRPR positive tumors. Herein, the GRPR specificity of the newly synthetized [44Sc]Sc-NODAGA-AMBA was investigated in vitro and in vivo applying PCa PC-3 xenograft. After the in-vitro assessment of receptor binding, PC-3 tumor-bearing mice were injected with [44Sc]Sc/[68Ga]Ga-NODAGA-AMBA (in blocking studies with bombesin) and in-vivo PET examinations were performed to determine the radiotracer uptake in standardized uptake values (SUV). 44Sc/68Ga-labelled NODAGA-AMBA was produced with high molar activity (approx. 20 GBq/µmoL) and excellent radiochemical purity. The in-vitro accumulation of [44Sc]Sc-NODAGA-AMBA in PC-3 cells was approximately 25-fold higher than that of the control HaCaT cells. Relatively higher uptake was found in vitro, ex vivo, and in vivo in the same tumor with the 44Sc-labelled probe compared to [68Ga]Ga-NODAGA-AMBA. The GRPR specificity of [44Sc]Sc-NODAGA-AMBA was confirmed by significantly (p ≤ 0.01) decreased %ID and SUV values in PC-3 tumors after bombesin pretreatment. The outstanding binding properties of the novel [44Sc]Sc-NODAGA-AMBA to GRPR outlines its potential to be a valuable radiotracer in the imaging of GRPR-positive PCa.

In vivo investigation of Gallium-68 and Bismuth-205/206 labeled beta cyclodextrin for targeted alpha therapy of prostaglandin E2 receptor-expressing tumors in mice.

Prostaglandin E2 (PGE2) molecule and its receptors play an important role in the development of malignancies and metastases therefore PGE2 may play a crucial role in the diagnosis and a new therapeutic target in the field of radionuclide therapy of PGE2-positive tumors. PGE2 form complexes with RAMEB (randomly-methylated-beta-cyclodextrin) with high affinity therefore the aim of this present study was to synthesize a PGE2-specific DOTAGA-RAMEB, which can be labeled with diagnostic and therapeutic isotopes also and binds to PGE2-positive tumors. DOTAGA-RAMEB was labeled with 68Ga and 205/206Bi radionuclides and their radiochemical purity (RCP%), partition coefficient (logP values), and in vitro and in vivo stability were determined. For the assessment of the biological properties and the PGE2 specificity of [68Ga]Ga-DOTAGA-RAMEB and [205/206Bi]Bi-DOTAGA-RAMEB in vivo PET imaging and ex vivo biodistribution studies were performed using healthy control and PGE2-positive BxPC-3 tumor-bearing CB17 SCID mice. The RCP% of the newly synthesized [68Ga]Ga-DOTAGA-RAMEB and [205/206Bi]Bi-DOTAGA-RAMEB was higher than 98 %. In vivo studies showed that the tumor-to-background ratio of [68Ga]Ga-DOTAGA-RAMEB was 2.5 ± 0.2 as a result BxPC-3 tumors were clearly identified on PET images. Beside this the ex vivo biodistribution studies showed that the accumulation rate of [68Ga]Ga-DOTAGA-RAMEB and [205/206Bi]Bi-DOTAGA-RAMEB was similar in the PGE2-positive BxPC-3 tumors.

In Vivo Imaging of Neo-angiogenesis of Transplanted Metastases in Subrenal Capsule Assay Induced Rat Model.

BACKGROUND/AIM: Changes in the expression of neo-angiogenic molecules in the primary tumor and its metastases may significantly affect the efficacy of therapies. The aim of this study was to evaluate the alterations in aminopeptidase N (APN/CD13) and αvß3 integrin receptor expression in serially transplanted mesoblastic nephroma tumor (Ne/De) metastases using 68Gallium (68Ga)-labeled NOTA-cNGR and NODAGA-RGD radiotracers and preclinical positron emission tomography (PET) imaging. MATERIALS AND METHODS: Primary and metastatic mesoblastic nephroma (Ne/De) tumors were induced by subrenal capsule assay (SRCA) in Fischer-344 rats. In vivo PET imaging experiments were performed 8±1 days after the SRCA surgery using intravenously injected 68Ga-NOTA-c(NGR), 68Ga-NODAGA-RGD, and [18F]FDG radiotracers. RESULTS: Among the examined neo-angiogenic molecules, the expression of αvß3 integrin in the tumors was significantly lower than that of APN/CD13. This observation was confirmed by the PET data analysis, where a 2-6-fold higher APN/CD13-specific 68Ga-NOTA-cNGR accumulation was observed in both primary malignancies and metastases. However, a steadily increased accumulation of [18F]FDG, 68Ga-NODAGA-RGD, and 68Ga-NOTA-cNGR was observed in the tumors growing under the renal capsule and in the metastatic parathymic lymph nodes during serial transplantations. The observed increase in 68Ga- NOTA-cNGR accumulation during serial transplantations correlated well with the western blot analysis, where APN/CD13 protein levels were also elevated in the metastatic parathymic lymph nodes. CONCLUSION: The observed increase in glucose metabolism and the up-regulated expression of αvß3 integrin and APN/CD13 during serial transplantations of metastases may indicate enhanced malignancy.

In Vivo Imaging of Ischemia/Reperfusion-mediated Aminopeptidase N Expression in Surgical Rat Model Using 68Ga-NOTA-c(NGR).

BACKGROUND/AIM: Previous studies have already shown that 68Gallium(68Ga)-labeled NGR-based radiopharmaceuticals specifically bind to the neoangiogenic molecule Aminopeptidase N (APN/CD13). The aim of this study was to evaluate the applicability of 68Ga-NOTA-c(NGR) in the in vivo detection of the temporal changes of APN/CD13 expression in the diabetic retinopathy rat model using positron emission tomography (PET). MATERIALS AND METHODS: Ischemia/reperfusion injury was initiated by surgical ligation of the left bulbus oculi of rats. In vivo PET imaging studies were performed after the surgery using 68Ga-NOTA-c(NGR). RESULTS: Significantly higher 68Ga-NOTA-c(NGR) uptake was observed in the surgically-ligated left bulbus, compared to the bulbus of the non-surgical group at each investigated time point. The western blot and histological analysis confirmed the increased expression of the neo-angiogenic marker APN/CD13. CONCLUSION: 68Ga-NOTA-c(NGR) is a suitable radiotracer for the detection of the temporal changes of the ischemia/reperfusion-mediated expression of APN/CD13 in the surgically induced diabetic retinopathy rat model.

Automated procedure assessing the accuracy of HRCT-PET registration applied in functional virtual bronchoscopy.

BACKGROUND: Bronchoscopy serves as direct visualisation of the airway. Virtual bronchoscopy provides similar visual information using a non-invasive imaging procedure(s). Early and accurate image-guided diagnosis requires the possible highest performance, which might be approximated by combining anatomical and functional imaging. This communication describes an advanced functional virtual bronchoscopic (fVB) method based on the registration of PET images to high-resolution diagnostic CT images instead of low-dose CT images of lower resolution obtained from PET/CT scans. PET/CT and diagnostic CT data were collected from 22 oncological patients to develop a computer-aided high-precision fVB. Registration of segmented images was performed using elastix. RESULTS: For virtual bronchoscopy, we used an in-house developed segmentation method. The quality of low- and high-dose CT image registrations was characterised by expert's scoring the spatial distance of manually paired corresponding points and by eight voxel intensity-based (dis)similarity parameters. The distribution of (dis)similarity parameter correlating best with anatomic scoring was bootstrapped, and 95% confidence intervals were calculated separately for acceptable and insufficient registrations. We showed that mutual information (MI) of the eight investigated (dis)similarity parameters displayed the closest correlation with the anatomy-based distance metrics used to characterise the quality of image registrations. The 95% confidence intervals of the bootstrapped MI distribution were [0.15, 0.22] and [0.28, 0.37] for insufficient and acceptable registrations, respectively. In case of any new patient, a calculated MI value of registered low- and high-dose CT image pair within the [0.28, 0.37] or the [0.15, 0.22] interval would suggest acceptance or rejection, respectively, serving as an aid for the radiologist. CONCLUSION: A computer-aided solution was proposed in order to reduce reliance on radiologist's contribution for the approval of acceptable image registrations.

Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling.

Dynamic causal modeling (DCM) is a widely used tool to estimate the effective connectivity of specified models of a brain network. Finding the model explaining measured data is one of the most important outstanding problems in Bayesian modeling. Using heuristic model search algorithms enables us to find an optimal model without having to define a model set a priori. However, the development of such methods is cumbersome in the case of large model-spaces. We aimed to utilize commonly used graph theoretical search algorithms for DCM to create a framework for characterizing them, and to investigate relevance of such methods for single-subject and group-level studies. Because of the enormous computational demand of DCM calculations, we separated the model estimation procedure from the search algorithm by providing a database containing the parameters of all models in a full model-space. For test data a publicly available fMRI dataset of 60 subjects was used. First, we reimplemented the deterministic bilinear DCM algorithm in the ReDCM R package, increasing computational speed during model estimation. Then, three network search algorithms have been adapted for DCM, and we demonstrated how modifications to these methods, based on DCM posterior parameter estimates, can enhance search performance. Comparison of the results are based on model evidence, structural similarities and the number of model estimations needed during search. An analytical approach using Bayesian model reduction (BMR) for efficient network discovery is already available for DCM. Comparing model search methods we found that topological algorithms often outperform analytical methods for single-subject analysis and achieve similar results for recovering common network properties of the winning model family, or set of models, obtained by multi-subject family-wise analysis. However, network search methods show their limitations in higher level statistical analysis of parametric empirical Bayes. Optimizing such linear modeling schemes the BMR methods are still considered the recommended approach. We envision the freely available database of estimated model-spaces to help further studies of the DCM model-space, and the ReDCM package to be a useful contribution for Bayesian inference within and beyond the field of neuroscience.

Effective connectivity differences in motor network during passive movement of paretic and non-paretic ankles in subacute stroke patients.

BACKGROUND: A better understanding of the neural changes associated with paresis in stroke patients could have important implications for therapeutic approaches. Dynamic Causal Modeling (DCM) for functional magnetic resonance imaging (fMRI) is commonly used for analyzing effective connectivity patterns of brain networks due to its significant property of modeling neural states behind fMRI signals. We applied this technique to analyze the differences between motor networks (MNW) activated by continuous passive movement (CPM) of paretic and non-paretic ankles in subacute stroke patients. This study aimed to identify CPM induced connectivity characteristics of the primary sensory area (S1) and the differences in extrinsic directed connections of the MNW and to explain the hemodynamic differences of brain regions of MNW. METHODS: For the network analysis, we used ten stroke patients' task fMRI data collected under CPMs of both ankles. Regions for the MNW, the primary motor cortex (M1), the premotor cortex (PM), the supplementary motor area (SMA) and the S1 were defined in a data-driven way, by independent component analysis. For the network analysis of both CPMs, we compared twelve models organized into two model-families, depending on the S1 connections and input stimulus modeling. Using DCM, we evaluated the extrinsic connectivity strengths and hemodynamic parameters of both stimulations of all patients. RESULTS: After a statistical comparison of the extrinsic connections and their modulations of the "best model", we concluded that three contralateral self-inhibitions (cM1, cS1 and cSMA), one contralateral inter-regional connection (cSMA→cM1), and one interhemispheric connection (cM1→iM1) were significantly different. Our research shows that hemodynamic parameters can be estimated with the Balloon model using DCM but the parameters do not change with stroke. CONCLUSIONS: Our results confirm that the DCM-based connectivity analyses combined with Bayesian model selection may be a useful technique for quantifying the alteration or differences in the characteristics of the motor network in subacute stage stroke patients and in determining the degree of MNW changes.

OAR sparing 3D radiotherapy planning supported by fMRI brain mapping investigations.

The human brain as an organ has numerous functions; some of them can be visualized by functional imaging techniques (e.g., functional MRI [fMRI] or positron emission tomography). The localization of the appropriate activity clusters requires sophisticated instrumentation and complex measuring protocol. As the inclusion of the activation pattern in modern self-tailored 3D based radiotherapy has notable advantages, this method is applied frequently. Unfortunately, no standardized method has been published yet for the integration of the fMRI data into the planning process and the detailed description of the individual applications is usually missing. Thirteen patients with brain tumors, receiving fMRI based RT planning were enrolled in this study. The delivered dose maps were exported from the treatment planning system and processed for further statistical analysis. Two parameters were introduced to measure the geometrical distance Hausdorff Distance (HD), and volumetric overlap Dice Similarity Coefficient (DSC) of fMRI corrected and not corrected dose matrices as calculated by 3D planning to characterize similarity and/or dissimilarity of these dose matrices. Statistical analysis of bootstrapped HD and DSC data was performed to determine confidence intervals of these parameters. The calculated confidence intervals for HD and DSC were (5.04, 7.09), (0.79, 0.86), respectively for the 40 Gy and (5.2, 7.85), (0.74, 0.83), respectively for the 60 Gy dose volumes. These data indicate that in the case of HD < 5.04 and/or DSC > 0.86, the 40 Gy dose volumes obtained with and without fMRI activation pattern do not show a significant difference (5% significance level). The same conditions for the 60 Gy dose volumes were HD < 5.2 and/or DSC > 0.83. At the same time, with HD > 7.09 and/or DSC < 0.79 for 40 Gy and HD > 7.85 and/or DSC < 0.74 for 60 Gy the impact of fMRI utilization in RT planning is excessive. The fMRI activation clusters can be used in daily RT planning routine to spare activation clusters as critical areas in the brain and avoid their high dose irradiation. Parameters HD (as distance) and DSC (as overlap) can be used to characterize the difference and similarity between the radiotherapy planning target volumes and indicate whether the fMRI delivered activation patterns and consequent fMRI corrected planning volumes are reliable or not.

Population-Level Correction of Systematic Motion Artifacts in fMRI in Patients with Ischemic Stroke.

BACKGROUND: The aim of this study was to reveal potential sources of systematic motion artifacts in stroke functional magnetic resonance imaging (fMRI) focusing on those causing stimulus-correlated motion on the individual-level and separate the motion effect on the fMRI signal changing from the activation-induced alteration at population level. METHODS: Eleven ischemic stroke patients were examined by fMRI. The fMRI paradigm was based on passive ankle movement on both the healthy and the paretic leg's side. Three individual-level motion correction strategies were compared and we introduced five measures to characterize each subjects' in-scanner relative head movement. After analyzing the correlation of motion parameters and the subjects' physiological scale scores, we selected a parameter to model the motion-related artifacts in the second-level analysis. RESULTS: At first (individual) level analysis, the noise-component correction-based CompCor method provided the highest -log10(p) value of cluster-level occurrence probability at 12.4/13.6 for healthy and paretic side stimulus, respectively, with a maximal z-value of 15/16.3. Including the motion parameter at second (group) level resulted in lower cluster occurrence values at 10.9/5.55 while retaining the maximal z-value. CONCLUSIONS: We proposed a postprocessing pipeline for ischemic stroke fMRI data that combine the CompCor correction at first level with the modeling of motion effect at second-level analysis by a parameter obtained from fMRI data. Our solution is applicable for any fMRI-based stroke rehabilitation study since it does not require any MRI-compatible motion capture system and is based on commonly used methods.

A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images.

Textural analysis might give new insights into the quantitative characterization of metabolically active tumors. More than thirty textural parameters have been investigated in former F18-FDG studies already. The purpose of the paper is to declare basic requirements as a selection strategy to identify the most appropriate heterogeneity parameters to measure textural features. Our predefined requirements were: a reliable heterogeneity parameter has to be volume independent, reproducible, and suitable for expressing quantitatively the degree of heterogeneity. Based on this criteria, we compared various suggested measures of homogeneity. A homogeneous cylindrical phantom was measured on three different PET/CT scanners using the commonly used protocol. In addition, a custom-made inhomogeneous tumor insert placed into the NEMA image quality phantom was imaged with a set of acquisition times and several different reconstruction protocols. PET data of 65 patients with proven lung lesions were retrospectively analyzed as well. Four heterogeneity parameters out of 27 were found as the most attractive ones to characterize the textural properties of metabolically active tumors in FDG PET images. These four parameters included Entropy, Contrast, Correlation, and Coefficient of Variation. These parameters were independent of delineated tumor volume (bigger than 25-30 ml), provided reproducible values (relative standard deviation< 10%), and showed high sensitivity to changes in heterogeneity. Phantom measurements are a viable way to test the reliability of heterogeneity parameters that would be of interest to nuclear imaging clinicians.

Increased resting-state EEG functional connectivity in benign childhood epilepsy with centro-temporal spikes.

PURPOSE: To explore intrahemispheric, cortico-cortical EEG functional connectivity (EEGfC) in benign childhood epilepsy with rolandic spikes (BECTS). METHODS: 21-channel EEG was recorded in 17 non-medicated BECTS children and 19 healthy controls. 180s of spike- and artifact-free activity was selected for EEGfC analysis. Correlation of Low Resolution Electromagnetic Tomography- (LORETA-) defined current source density time series were computed between two cortical areas (region of interest, ROI). Analyses were based on broad-band EEGfC results. Groups were compared by statistical parametric network (SPN) method. Statistically significant differences between group EEGfC values were emphasized at p<0.05 corrected for multiple comparison by local false discovery rate (FDR). RESULTS: (1) Bilaterally increased beta EEGfC occurred in the BECTS group as compared to the controls. Greatest beta abnormality emerged between frontal and frontal, as well as frontal and temporal ROIs. (2) Locally increased EEGfC emerged in all frequency bands in the right parietal area. CONCLUSIONS: Areas of increased EEGfC topographically correspond to cortical areas that, based on relevant literature, are related to speech and attention deficit in BECTS children.

ANXIETY MANAGEMENT AND FUNCTIONAL MAGNETIC RESONANCE IMAGING--SHOULD IT BE A PRIORITY?

BACKGROUND AND PURPOSE: Studies have shown that a high proportion of patients undergoing MRI examinations experience anxiety and distress which may compromise image quality and successful data acquisition. Research on fMRI related anxiety is limited as to date, therefore, the purpose of this study was to assess the changes in anxiety as well as to examine its interactions with the implementation of a dedicated patient preparation phase prior to the examination. METHODS: An fMRI examination consisting of six paradigms was performed on nine female and nine male healthy volunteers. Prior to the examination, the volunteers were subject to an extensive patient preparation phase including the professional support of a psychologist. The volunteers were subject to the State Trait Anxiety Inventory (STAI) pre and post fMRI. Blood pressure and heart rate were also measured pre and post fMRI examination. RESULTS: A high level of trait and state anxiety was observed (STAI-T: 41.67 +/- 8.96; STAI-S: 34.78 +/- 9.79) prior to the examination. The level of state anxiety decreased significantly following the examination (STAI-S: 28.83 +/- 4.99, p<0.01). Correlation between the volunteers level of anxiety prior to the fMRI scan and the volume of the activation areas was observed in the fingertapping (r=0.656; 0.561) and word generation (r=0.471) paradigms. CONCLUSION: The results of this study support the contribution of a supportive patient preparation phase inclusive of professional guidance to help reduce the volunteers' level of distress and anxiety. These results encourage the study to be extended to clinical patients.

A Promising Future: Comparable Imaging Capability of MRI-Compatible Silicon Photomultiplier and Conventional Photosensor Preclinical PET Systems.

UNLABELLED: We recently completed construction of a small-animal PET system-the MiniPET-3-that uses state-of-the-art silicon photomultiplier (SiPM) photosensors, making possible dual-modality imaging with MRI. In this article, we compare the MiniPET-3 with the MiniPET-2, a system with the same crystal geometry but conventional photomultiplier tubes (PMTs). METHODS: The standard measurements proposed by the National Electrical Manufacturers Association NU 4 protocols were performed on both systems. These measurements included spatial resolution, system sensitivity, energy resolution, counting rate performance, scatter fraction, spillover ratio for air and water, recovery coefficient, and image uniformity. The energy windows were set to 350-650 keV on the MiniPET-2 and 360-662 keV on the MiniPET-3. RESULTS: Spatial resolution was approximately 17% better on average for the MiniPET-3 than the MiniPET-2. The systems performed similarly in terms of peak absolute sensitivity (∼1.37%), spillover ratio for air (∼0.15), spillover ratio for water (∼0.25), and recovery coefficient (∼0.33, 0.59, 0.81, 0.89, and 0.94). Uniformity was 5.59% for the MiniPET-2 and 6.49% for the MiniPET-3. Minor differences were found in scatter fraction. With the ratlike phantom, the peak noise-equivalent counting rate was 14 kcps on the MiniPET-2 but 24 kcps on the MiniPET-3. However, with the mouselike phantom, these values were 55 and 91 kcps, respectively. The optimal coincidence time window was 6 ns for the MiniPET-2 and 8 ns for the MiniPET-3. CONCLUSION: Images obtained with the SiPM-based MiniPET-3 small-animal PET system are similar in quality to those obtained with the conventional PMT-based MiniPET-2.

Population based ranking of frameless CT-MRI registration methods.

BACKGROUND: Clinical practice often requires simultaneous information obtained by two different imaging modalities. Registration algorithms are commonly used for this purpose. Automated procedures are very helpful in cases when the same kind of registration has to be performed on images of a high number of subjects. Radiotherapists would prefer to use the best automated method to assist therapy planning, however there are not accepted procedures for ranking the different registration algorithms. PURPOSE: We were interested in developing a method to measure the population level performance of CT-MRI registration algorithms by a parameter of values in the [0,1] interval. MATERIALS AND METHODS: Pairs of CT and MRI images were collected from 1051 subjects. Results of an automated registration were corrected manually until a radiologist and a neurosurgeon expert both accepted the result as good. This way 1051 registered MRI images were produced by the same pair of experts to be used as gold standards for the evaluation of the performance of other registration algorithms. Pearson correlation coefficient, mutual information, normalized mutual information, Kullback-Leibler divergence, L1 norm and square L2 norm (dis)similarity measures were tested for sensitivity to indicate the extent of (dis)similarity of a pair of individual mismatched images. RESULTS: The square Hellinger distance proved suitable to grade the performance of registration algorithms at population level providing the developers with a valuable tool to rank algorithms. CONCLUSIONS: The developed procedure provides an objective method to find the registration algorithm performing the best on the population level out of newly constructed or available preselected ones.

Changes in functional MRI signals after 3D based radiotherapy of glioblastoma multiforme.

The purpose of our study was to examine the potential effects of conventional 3D based radiotherapy on functional MRI activation areas following the treatment of glioblastoma multiforme. Seventeen patients with a histologically proven glioblastoma multiforme were enrolled in this study. A functional MRI examination was performed alongside the planning CT and conventional MRI prior to the delivery of conventional 3D based radiotherapy. All patients received 3D based postoperative radiotherapy (up to 60 Gy) combined with temozolomide. Follow-up fMRI examinations were performed after completion of the treatment in the 6th week and in 3 months time. Changes of the task related activation areas were registered and analyzed. The difference in changes of high dose and low dose areas of the brain were also registered and analyzed. The comparison of the pretreatment and 6th week control fMRI activation areas revealed significant changes in motor activation and listening tasks in the case of brain areas which received a high dose (over 40 Gy). Based on the population level statistical parametric images (motor activation tasks) acquired at the 6th week control examination, a significant increase of signal was registered in the precuneus region and in the globus pallidus region. When comparing the 6th week and 3rd month activation signals, no significant changes were registered. Our results demonstrate the influence of radiotherapy on functional MRI signals within the human brain. Based on our findings, functional activation transfers from high dose areas to low dose areas. In case of the motor activation tasks, activations of the secondary motor area were observed following radiotherapy.