Evaluation of a Novel Content-Based Image Retrieval System for the Differentiation of Interstitial Lung Diseases in CT Examinations

Ziel der Studie war die Bewertung der diagnostischen Genauigkeit bei der Erkennung und Differenzierung von interstitiellen Lungenkrankheiten in der Computertomographie (CT) mit Hilfe eines neuartigen inhaltsbasierten Bildabfragesystems (Content based image retrieval, CBIR), welches Bilder ähnlicher CT-Muster aus einer Datenbank mit 79 verschiedenen interstitiellen Lungenerkrankungen abgleicht. Hierfür wurde die diagnostische Genauigkeit von drei Anfängern (Studenten im praktischen Jahr) und drei Assistenzärzten (mit mindestens drei Jahren Erfahrung) bei der Auswertung von 50 verschiedenen CTs mit 10 verschiedenen bildmorphologischen Mustern (z.B. Honigwabenmuster, tree-in-bud, Milchglastrübung, Bronchiektasie usw.) und 24 verschiedenen Krankheiten (z.B. Sarkoidose, gewöhnliche interstitielle Pneumonie (UIP), unspezifische interstitielle Pneumonie (NSIP) usw.) im Vergleich zur Grundwahrheit bewertet. Die Teilnehmer bewerteten die Fälle zunächst ohne Hilfe (und ohne Rückmeldung über die Richtigkeit) und dann im Abstand von zwei Monaten in zufälliger Reihenfolge mit Hilfe des neuartigen CBIR. Um das CBIR aufzurufen, zeichneten die Teilnehmer eine “region of interest” (ROI) um das von ihnen identifizierte pathologische Lungengewebe auf axialen Lungen-CTs. Auf Grundlage dieser ROI suchte das System in der dazugehörigen Datenbank nach Bildern von Krankheiten mit ähnlichen Mustern. Um die Differentialdiagnose weiter einzugrenzen, konnten die Befundenden ein integriertes Lehrbuch (Thieme eRef) konsultieren und hatten die Möglichkeit semantische Features auszuwählen, die klinische Informationen darstellten (z.B. chronisch, infektiös, Raucherstatus usw.). Es wurde die Genauigkeit der Befunder ohne und mit CBIR-Unterstützung analysiert und die Hypothese getestet, ob und in welchem Ausmaß das CBIR die diagnostische Genauigkeit verbessert. Die Anfänger erreichten ohne Unterstützung eine Genauigkeit von 18/28/44 % und mit Unterstützung eine Genauigkeit von 84/82/90 %. Die Assistenzärzte erreichten ohne Unterstützung eine Genauigkeit von 56/56/70 % und mit Unterstützung eine Genauigkeit von 94/90/96 %. Sowohl für die einzelnen Befunder als auch für die Gesamtheit der Befunder zeigte der Vorzeichentest einen statistisch signifikanten (p 0,01) Unterschied für die Befundung mit Unterstützung. Das hier evaluierte, auf Musteranalysen beruhende CBIR bietet über die Ergänzung semantischer Elemente die Möglichkeit, die Ergebnisse nach den vorherrschenden Merkmalen einer Krankheit zu filtern und trug dazu bei, die Treffsicherheit von Anfängern und Assistenzärzten bei der CT-Diagnose interstitieller Lungenerkrankungen bedeutsam zu verbessern

A cross-sectional survey of internet use among university students

The last 2~decades have seen an increase in the number of reports of excessive internet use. Therefore, this study aimed to examine internet use among university students to gain more insight into the novel phenomenon of addictive internet use (AIU). Data were collected by the means of an online questionnaire sent to 4391 students. Approximately 10% of the 4391 students could be included in the statistical analysis. Of those 483 students, almost all (99.2%) used the internet, and a quarter (24.8%) showed AIU. The students used the internet mostly for information searches, random browsing, social networking, and online shopping; however, AIU was seen most often in the areas of social networking, random browsing, information searches, gaming, and pornography. One in four of the respondents showed addictive behavior in at least one area of internet use. Students with AIU in the area of random browsing were significantly less far advanced in their studies than those without AIU, and well-being was significantly poorer across AIU groups than in those who did not show AIU. The study confirms the importance of AIU, as reflected in the high prevalence of AIU among the students and the significantly lower level of well-being in those with AIU. Undifferentiated consideration of AIU does not do justice to its various facets, and future research should consider all areas of internet use, with the aim to increase understanding of the underlying mechanisms of AIU and develop more differentiated treatment approaches

What Chemsex does to the brain - neural correlates (ERP) regarding decision making, impulsivity and hypersexuality

Chemsex describes the use of specific substances (methamphetamine, GHB/GBL, mephedrone, ketamine) which initiate or enhance sexual experiences and is mainly prevalent among men who have sex with men. Many Chemsex users experience somatic complications (for example sexually transmitted diseases) and sometimes adverse sociological, psychological, and neurological symptoms, such as depression, impulse control disorders or hypersexuality. Changes in impulsivity and deficits in executive functions have demonstrated to be associated with addiction and impulse control disorders as well as frontal brain dysfunction and behavioral control deficits. This study aims to explore the effects of neurophysiological correlates of inhibition and decision making in Chemsex users with an EEG paradigm using event-related potentials (N2, P3). 15 Chemsex users and 14 matched control subjects, all of them men who have sex with man, participated in an auditory Go/NoGo/Voluntary Selection EEG paradigm. In addition, clinical data (e.g. regarding depression), demographic information as well as measures of well-being and sexual behavior were collected. The results demonstrated that clinical symptoms, hypersexuality, and sexual risk behavior were more pronounced in Chemsex users compared to non-users. P3 amplitudes did not differ significantly between groups. However, the Chemsex users showed decreased electrophysiological N2 responses in fronto-central brain regions during decision-making, indicating compromised executive function and inhibitory control. The observed impairments may lead to increased risk behavior regarding drug abuse and hypersexuality. Understanding the neurobiological mechanisms can contribute to targeted interventions in order to mitigate the negative consequences of engaging in Chemsex and improve general well-being

Smoking Cessation Program for Inpatients with Substance Use Disorder: A Quasi-Randomized Controlled Trial of Feasibility and Efficacy

Aims: The present study investigated the feasibility, acceptance and efficacy of a newly developed cognitive behavioral program for smoking cessation/reduction ('Rethink your Smoking' program, RSP) in inpatients with substance use disorder (SUD). Method: One hundred ninety-nine inpatients with SUD were randomly assigned to either the RSP (n = 101) or a minimal intervention (MI) program (n = 98). In addition, participants were offered optional nicotine replacement therapy. Data from a group of patients with SUD without any intervention (control group, n = 78) were included in the analyses for comparison. Assessments were performed at admission, discharge and follow-up after 3 and 6 months. Results: RSP proved to be feasible and was well accepted by participants. Patients in both interventions showed lower scores for physical nicotine dependence and number of cigarettes smoked per day and higher scores for various motivational parameters at discharge and 3 months later. Both interventions were superior to no intervention, but no differences were found between the RSP and MI. Conclusion: A smoking cessation/reduction program is feasible for substance-dependent in-patients undergoing detoxification. Although the RSP appears to be effective in terms of harm reduction in in-patients with SUD, more cost-and time-efficient programs might also be suitable for this population. (C) 2016 S. Karger AG, Base

Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatment

This naturalistic study among patients with alcohol dependence examined whether routine blood biomarkers could help to identify patients with high risk for relapse after withdrawal treatment. In a longitudinal study with 6-month follow-up among 133 patients with alcohol dependence who received inpatient alcohol withdrawal treatment, we investigated the usefulness of routine blood biomarkers and clinical and sociodemographic factors for potential outcome prediction and risk stratification. Baseline routine blood biomarkers (gamma-glutamyl transferase GGT, alanine aminotransferase ALT/GPT, aspartate aminotransferase AST/GOT, mean cell volume of erythrocytes MCV), and clinical and sociodemographic characteristics were recorded at admission. Standardized 6~months' follow-up assessed outcome variables continuous abstinence, days of continuous abstinence, daily alcohol consumption and current abstinence. The combined threshold criterion of an AST:ALT ratio > 1.00 and MCV > 90.0 fl helped to identify high-risk patients. They had lower abstinence rates (P = 0.001), higher rates of daily alcohol consumption (P < 0.001) and shorter periods of continuous abstinence (P = 0.027) compared with low-risk patients who did not meet the threshold criterion. Regression analysis confirmed our hypothesis that the combination criterion is an individual baseline variable that significantly predicted parts of the respective outcome variances. Routinely assessed indirect alcohol biomarkers help to identify patients with high risk for relapse after alcohol withdrawal treatment. Clinical decision algorithms to identify patients with high risk for relapse after alcohol withdrawal treatment could include classical blood biomarkers in addition to clinical and sociodemographic items

Smoking and alcohol, health-related quality of life and psychiatric comorbidities in Leber's Hereditary Optic Neuropathy mutation carriers: a prospective cohort study

BACKGROUND Leber's hereditary optic neuropathy (LHON) is a rare mitochondrial disorder, characterized by acute or subacute bilateral vision loss, frequently leading to significant chronic disability, mainly in young people. The causal LHON mutations of the mitochondrial DNA have incomplete penetrance, with the highest risk of disease manifestation for male mutation carriers in the second and third decades of life. Here we evaluated smoking, alcohol drinking habits, health-related quality of life (QOL) and psychiatric comorbidities in a cohort of LHON patients and asymptomatic mutation carriers from a tertiary referral centre. METHODS Cross-sectional analysis of the ongoing Munich LHON prospective cohort study. Participants included all LHON patients and asymptomatic LHON mutation carriers older than 16 years at baseline, who were recruited between February 2014 and June 2015 and consented to participate. General, neurological and ophthalmological investigations were performed, including validated questionnaires on smoking, alcohol drinking habits, depressive symptoms and health-related QOL. RESULTS Seventy-one participants were included, 34 LHON patients (82% male) and 37 asymptomatic mutation carriers (19% male). Median age at baseline was 36 years (range 18-75 years). For LHON patients, median age at visual loss onset was 27 years (9 to 72 years). Smoking is more frequent in LHON patients than asymptomatic LHON mutation carriers, and significantly more frequent in both groups than in the general population. Sixty percent of LHON patients, who smoked at disease onset, stopped or significantly reduced smoking after visual loss onset, yet 40% of LHON patients continued to smoke at study baseline. Excessive alcohol consumption is more frequent in male LHON patients than in LHON asymptomatic and more frequent than in the male general population. Further, female asymptomatic LHON mutation carriers are at risk for depression and worse mental QOL scores. CONCLUSIONS Given the high prevalence of smoking and excessive drinking in LHON mutation carriers, implementing effective measures to reduce these risk factors may have a significant impact in reducing LHON disease conversion risk. The underrecognized prevalence of mental health issues in this population of LHON mutation carriers highlights the need for awareness and more timely diagnosis, which may lead to improved outcomes

The influence of marathon running on resting-state EEG activity: a longitudinal observational study

Physical activity (PA) has positive effects on various health aspects and neuronal functions, including neuronal plasticity. Exceeding a certain exercise frequency and duration has been associated with negative effects. Our study investigated the effects of excessive PA with a marathon run (MA) and regular PA (training and recovery phases) on electrocortical activity, as measured by electroencephalography (EEG). Thirty healthy marathon runners (26 male, 45 ± 9 yrs) were enrolled in the study. Four resting-state 32 channel EEG recordings were conducted: 12-8 weeks before MA (T-1), 14-4 days prior to MA (T0), 1-6 days after (T2), and 13-15 weeks after MA (T3). Power spectrum analyses were conducted using standardized Low-Resolution Electromagnetic Tomography (sLORETA) and included the following frequency bands: delta (1.5-6 Hz), theta (6.5-8.0 Hz), alpha1 (8.5-10 Hz), alpha2 (10.5-12.0 Hz), beta1 (12.5-18.0 Hz), beta2 (18.5-21.0 Hz), beta3 (21.5-30.0 Hz), and total power (1.5-30 Hz). Statistical nonparametric mapping showed reduced power both in the alpha-2 (log-F ratio = - 0.705, threshold log-F ratio =  ± 0.685, p < 0.05) and in the delta frequency band (log-F ratio = -0.699, threshold log-F ratio =  ± 0.685, p < 0.05) in frontal cortical areas after MA (T2 vs. T0). These effects diminished at long-term follow-up (T3). The results can be interpreted as correlates for subacute neuroplasticity induced by strenuous and prolonged PA. Although previous studies reported an increase in alpha frequency during and directly postexercise, the adverse observation a few days after exercise cessation suggests counterregulatory mechanisms, whose complex origin can be suspected in subcortical circuits, changes in neurotransmitter systems and modulation of affectivity

Prediction of Treatment Outcome in Patients with Obsessive-Compulsive Disorder with Low-Resolution Brain Electromagnetic Tomography: A Prospective EEG Study

The issue of predicting treatment response and identifying, in advance, which patient will profit from treating obsessive-compulsive disorder (OCD) seems to be an elusive goal. This prospective study investigated brain electric activity [using Low-Resolution Brain Electromagnetic Tomography (LORETA)] for the purpose of predicting response to treatment. Forty-one unmedicated patients with a DSM-IV diagnosis of OCD were included. A resting 32-channel EEG was obtained from each participant before and after 10 weeks of standardized treatment with sertraline and behavioral therapy. LORETA was used to localize the sources of brain electrical activity. At week 10, patients were divided into responders and non-responders (according to a reduction of symptom severity > 50% on the Y-BOCS). LORETA analysis revealed that at baseline responders showed compared to non-responders a significantly lower brain electric activity within the beta 1 (t = 2.86, p < 0.05), 2 (t = 2.81, p < 0.05), and 3 (t = 2.76, p < 0.05) frequency bands and ROI analysis confirmed a reduced activity in alpha 2 (t = 2.06, p < 0.05) in the anterior cingulate cortex (ACC). When baseline LORETA data were compared to follow-up data, the analysis showed in the responder group a significantly lower brain electrical resting activity in the beta 1 (t = 3.17. p < 0.05) and beta 3 (t = 3.11. p < 0.05) frequency bands and equally for the ROI analysis of the orbitofrontal cortex (OFC) in the alpha 2 (t = 2.15. p < 0.05) frequency band. In the group of non responders the opposite results were found. In addition, a positive correlation between frequency alpha 2 (rho = 0.40, p = 0.010), beta 3 (rho = 0.42, p = 0.006), delta (rho = 0.33, p = 0.038), theta (rho = 0.34, p = 0.031), alpha 1 (rho = 0.38, p = 0.015), and betal (rho = 0.34, p = 0.028) of the OFC and the bands delta (rho = 0.33, p = 0.035), alpha 1 (rho = 0.36, p = 0.019), alpha 2 (rho = 0.34, p = 0.031), and beta 3 (rho = 0.38, p = 0.015) of the ACC with a reduction of the Y-BOGS scores was identified. Our results suggest that measuring brain activity with LORETA could be an efficient and applicable technique to prospectively identify treatment responders in OCD

Comparative electroencephalography analysis: marathon runners during tapering versus sedentary controls reveals no significant differences

Introduction Previous studies described various adaptive neuroplastic brain changes associated with physical activity (PA). EEG studies focused mostly on effects during or shortly after short bouts of exercise. This is the first study to investigate the capability of EEG to display PA-induced long-lasting plasticity in runners compared to a sedentary control group. Methods Thirty trained runners and 30 age- and sex-matched sedentary controls (SC) were included as a subpopulation of the ReCaP (Running effects on Cognition and Plasticity) study. PA was measured with the International Physical Activity Questionnaire (IPAQ). Resting-state EEG of the runners was recorded in the tapering phase of the training for the Munich marathon 2017. Power spectrum analyses were conducted using standardized low-resolution electromagnetic tomography (sLORETA) and included the following frequency bands: delta: 1.5–6 Hz, theta: 6.5–8.0 Hz, alpha1: 8.5–10 Hz, alpha2: 10.5–12.0 Hz, beta1: 12.5–18.0 Hz, beta2: 18.5–21.0 Hz, beta3: 21.5–30.0 Hz, and total power (1.5–30 Hz). Results PA (IPAQ) and BMI differed significantly between the groups. The other included demographic parameters were comparable. Statistical nonparametric mapping showed no significant power differences in EEG between the groups. Discussion Heterogeneity in study protocols, especially in time intervals between exercise cessation and EEG recordings and juxtaposition of acute exercise-induced effects on EEG in previous studies, could be possible reasons for the differences in results. Future studies should record EEG at different time points after exercise cessation and in a broader spectrum of exercise intensities and forms to further explore the capability of EEG in displaying long-term exercise-induced plasticity