ß-eye: A benchtop system for in vivo molecular screening of labeled compounds.

Preclinical nuclear molecular imaging speeds up the mean time from synthesis to market, in drug development process. Commercial imaging systems have in general high cost, require high-cost service contracts, special facilities and trained staff. In the current work, we present ß-eye, a benchtop system for in vivo molecular screening of labeled compounds with Positron Emission Tomography (PET) isotopes. The developed system is based on a dual-head geometry, offering simplicity and decreased cost. The goal of the design is to provide 2D, real-time radionuclide images of mice, allowing the recording of fast frames and thus perform fast kinetic studies, with spatial resolution of ∼2 mm. Performance evaluation demonstrates the ability of ß-eye to provide quantitative results for injected activities lower than 1.5 MBq, which is adequate for pharmacodynamic studies in small mice.

Arachnoid cysts: the role of the BLADE technique.

BACKGROUND: This study aims at demonstrating the ability of BLADE sequences to reduce or even eliminate all the image artifacts as well as verifying the significance of using this technique in certain pathological conditions. MATERIAL AND METHODS: This study involved fourteen consecutive patients (5 females, 9 males), who routinely underwent magnetic resonance imaging (MRI) brain examination, between 2010-2014. The applied routine protocol for brain MRI examination included the following sequences: i) T2-weighted (W) fluid-attenuated inversion recovery (FLAIR) axial; ii) T2-W turbo spin echo (TSE) axial; iii) T2*-W axial, iv) T1-W TSE sagittal; v) Diffusion-weighted (DWI) axial; vi) T1-W TSE axial; vii) T1-W TSE axial+contrast. Additionally, the T2-W FLAIR BLADE sequence was added to the protocol in cases of cystic tumors. Two radiologists independently evaluated all the images at two separate settings, which were performed 3 weeks apart. The presence of image artifacts such as motion, flow, chemical shift and Gibbs ringing artifacts, were also evaluated by the radiologists. In the measurements of the cysts, the extent of the divergence by the two MRI techniques (conventional and BLADE) was used by the two radiologists to evaluate the accuracy of the two techniques to determine the size of the cysts. RESULTS: BLADE sequences were found to be more reliable than the conventional ones regarding the estimation of the cyst size. The qualitative analysis showed that the T2 FLAIR BLADE sequences were superior to the conventional T2 FLAIR with statistical significance (p <0.001) in the following fields: i) overall image quality, ii) cerebrospinal fluid (CSF) nulling; iii) contrast between pathology and its surrounding; iv) borders of the pathology; v) motion artifacts; vi) flow artifacts; vii) chemical shift artifacts and viii) Gibbs ringing artifacts. CONCLUSIONS: BLADE sequence was found to decrease both flow artifacts in the temporal lobes and motion artifacts from the orbits. Additionally, it was shown to improve flow artifacts and image quality in cystic pathologies such as arachnoid cysts. Hippokratia 2016, 20(3): 244-248.

Assessing the performance of four different categories of histological criteria in brain tumours grading by means of a computer-aided diagnosis image analysis system.

Brain tumours are considered one of the most lethal and difficult to treat forms of cancer, with unknown aetiology and lack of any realistic screening. In this study, we examine, whether the combination of descriptive criteria, used by expert histopathologists in assessing histologic tissue samples, and quantitative image analysis features may improve the diagnostic accuracy of brain tumour grading. Data comprised 61 cases of brain cancers (astrocytomas, oligodendrogliomas, meningiomas) collected from the archives of the University Hospital of Patras, Greece. Incorporating physician's descriptive criteria and image analysis's quantitative features into a discriminant function, a computer-aided diagnosis system was designed for discriminating low-grade from high-grade brain tumours. Physician's descriptive features, when solely used in the system, proved of high discrimination accuracy (93.4%). When verbal descriptive features were combined with quantitative image analysis features in the system, discrimination accuracy improved to 98.4%. The generalization of the proposed system to unseen data converged to an overall prediction accuracy of 86.7% ± 5.4%. Considering that histological grading affects treatment selection and diagnostic errors may be notable in clinical practice, the utilization of the proposed system may safeguard against diagnostic misinterpretations in every day clinical practice.

Breast cancer characterization based on image classification of tissue sections visualized under low magnification.

Rapid assessment of tissue biopsies is a critical issue in modern histopathology. For breast cancer diagnosis, the shape of the nuclei and the architectural pattern of the tissue are evaluated under high and low magnifications, respectively. In this study, we focus on the development of a pattern classification system for the assessment of breast cancer images captured under low magnification (×10). Sixty-five regions of interest were selected from 60 images of breast cancer tissue sections. Texture analysis provided 30 textural features per image. Three different pattern recognition algorithms were employed (kNN, SVM, and PNN) for classifying the images into three malignancy grades: I-III. The classifiers were validated with leave-one-out (training) and cross-validation (testing) modes. The average discrimination efficiency of the kNN, SVM, and PNN classifiers in the training mode was close to 97%, 95%, and 97%, respectively, whereas in the test mode, the average classification accuracy achieved was 86%, 85%, and 90%, respectively. Assessment of breast cancer tissue sections could be applied in complex large-scale images using textural features and pattern classifiers. The proposed technique provides several benefits, such as speed of analysis and automation, and could potentially replace the laborious task of visual examination.

Prevalence of hepatitis B virus markers in municipal solid waste workers in Keratsini (Greece).

AIM: To evaluate the prevalence of hepatitis B virus (HBV) markers among municipal solid waste workers (MSWWs) in Keratsini (Greece). METHODS: We assessed in a cross-sectional study the prevalence of biological markers of HBV infection (HbsAg, anti-Hbc, anti-Hbs) and their association with exposure to waste and other socio-demographic factors in 166 municipal employees in Keratsini (Greece). RESULTS: The prevalence of anti-Hbc (+) did differ significantly between exposed and non-exposed employees to waste. Older employees had a significantly higher prevalence of anti-Hbc (+). MSWWs who were anti-Hbc (+) were less educated than non-exposed employees. Logistic regression analysis has shown that the exposure to waste and age were independently associated with the anti-Hbc positivity. CONCLUSION: Occupational exposure to waste is possibly associated with the acquisition of HBV infection. Immunization of MSWWs should be considered to reduce the risk of HBV infection.