The thesis is focused on automatic classification of polysomnographic signals based on various parameters in time and frequency domain. The parameters are acquired from 30 seconds long segments of EEG, EMG and EOG signals recorded during different sleep stages. The parameters used for automatic classification of sleep stages are selected according to statistical analysis. Classification is performed using the SVM method and evaluation of the success of the classification is done using sensitivity, specificity and percentage success. Classification method was implemented using Matlab.

Background: In recent years, several new ELISAs for the detection of antibodies against the porcine reproductive and respiratory disease virus (PRRSV) in pig serum have been developed. To interpret the results, specificity and sensitivity data as well as agreement to a reference ELISA must be available. In this study, three commercial ELISAs (INgezim PRRS 2.0 - ELISA II, Priocheck® PRRSV Ab porcine – ELISA III and CIVTEST suis PRRS E/S PLUS - ELISA IV, detecting PRRSV type 1 antibodies) were compared to a standard ELISA (IDEXX PRRS X3 Ab Test - ELISA I). The serum of three pigs vaccinated with an attenuated PRRSV live vaccine (genotype 2) was tested prior to and several times after the vaccination. Furthermore, serum samples of 245 pigs of PRRSV positive herds, 309 pigs of monitored PRRSV negative herds, 256 fatteners of assumed PRRSV negative herds with unknown herd history and 92 wild boars were tested with all four ELISAs. Results: ELISAs II and III were able to detect seroconversion of vaccinated pigs with a similar reliability. According to kappa coefficient, the results showed an almost perfect agreement between ELISA I as reference and ELISA II and III (kappa > 0.8), and substantial agreement between ELISA I and ELISA IV (kappa = 0.71). Sensitivity of ELISA II, III and IV was 96.0%, 100% and 91.5%, respectively. The specificity of the ELISAs determined in samples of monitored PRRSV negative herds was 99.0%, 95.1% and 96.4%, respectively. In assumed negative farms that were not continually monitored, more positive samples were found with ELISA II to IV. The reference ELISA I had a specificity of 100% in this study. Conclusions: All tested ELISAs were able to detect a PRRSV positive herd. The specificity and sensitivity of the tested commercial ELISAs, however, differed. ELISA II had the highest specificity an ELISA III had the highest sensitivity in comparison to the reference ELISA. ELISA IV had a lower sensitivity and specificity than the other ELISAs.

Background: Transurethral resection leads to characteristic histological changes of tissue repair (’TUR cystitis‘), which also cause non-specific cytological changes. The aim of this study was to investigate the diagnostic sensitivity and specificity of conventional exfoliative urinary cytology in diagnosing residual urothelial carcinoma after differential transurethral resection. Patients and Methods: 417 urinary cytology specimens of all 374 patients undergoing primary (n = 326) or secondary (n = 91) transurethral resection of urothelial carcinoma of the bladder at our institution between June 1996 and December 1997 were examined. The cytology specimens were stained according to Papanicolaou’s method. The sensitivity and specificity of the cytologic diagnosis and of the tumour grading were compared with histological findings. Results: The overall sensitivity of urine cytology in tumour detection was 77.6% for primary lesions and 74.5% in the detection of residual carcinoma after transurethral resection. The diagnostic specificity was 77% and 84.3% respectively. The degree of sensitivity was dependent on tumour grade and was lower for well differentiated tumours. After transurethral resection, the sensitivity for grade 1 residual tumours was 11%, whereas it was 54% for grade 1 tumours before primary transurethral resection. Conclusions: The inflammatory changes following transurethral resection of primary bladder carcinoma cause reactive cytologic changes that make the diagnosis of well differentiated residual carcinoma more difficult. However, urinary cytology after transurethral resection has the same diagnostic accuracy for medium and poorly differentiated tumours as before primary resection and thus remains a very useful diagnostic tool. / Hintergrund: Transurethrale Resektionen von Blasentumoren führen zu histologischen Veränderungen («TUR Zystitis») im Sinne regenerativer Veränderungen, welche urinzytologisch zu diagnostischen Fehleinschätzungen führen können. Das Ziel unserer Untersuchung war der Vergleich der diagnostischen Sensitivität und Spezifität der Urinzytologie vor transurethraler Resektion mit der bei der Diagnose von Residualtumoren nach transurethraler Resektion. Patienten und Methoden: Untersucht wurden 417 urinzytologische Präparate von allen 374 Patienten, die in unserer Einrichtung zwischen Juni 1996 und Dezember 1997 einer primären (n = 326) oder sekundären (n = 91) transurethralen Resektion von Urothelkarzinomen der Harnblase unterzogen wurden. Die zytologischen Präparate wurden nach Papanicolaou gefärbt. Sensitivität und Spezifität der zytologischen Diagnostik und des Tumorgradings wurden mit den histologischen Befunden verglichen. Ergebnisse: Die Sensitivität der Urinzytologie in der primären Tumorerkennung lag bei 77,6% und die für die Diagnose von Residualtumoren nach transurethraler Resektion bei 74,5%. Die diagnostische Spezifität lag bei 77% bzw. 84,3%. Die Sensitivität war abhängig vom Differenzierungsgrad der Urothelkarzinome und war bei gut differenzierten Tumoren am niedrigsten. Nach transurethraler Resektion betrug die Sensitivität der zytologischen Diagnose für G1-Residualtumore lediglich 11%, während sie für G1-Primärtumore bei 54% lag. Schlußfolgerungen: Die entzündlichenVeränderungen nach transurethraler Resektion verursachen Veränderungen exfoliierter Urothelzellen, welche die zytologische Diagnose von residualen G1-Tumoren erschweren. Die Diagnose mäßig und schlecht differenzierter residualer Urothelkarzinome nach transurethraler Resektion hat dagegen die gleiche Sensitivität und Spezifität wie die bei primärer Untersuchung, so daß die Urinzytologie auch bei der Diagnose von Residualtumoren ein wertvolles diagnostisches Verfahren darstellt. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

Alterações no aspecto do disco óptico e da camada de fibras nervosas da retina (CFN) freqüentemente precedem o aparecimento de defeitos de campo visual no glaucoma, o que faz com que a avaliação destas estruturas seja essencial para o diagnóstico precoce e prevenção da perda visual nesta doença. A polarimetria de varredura a laser (GDx VCC), a oftalmoscopia confocal de varredura a laser (HRT II [Heidelberg Retina Tomograph]) e a tomografia de coerência óptica (Stratus OCT) são tecnologias que permitem a avaliação objetiva e quantitativa do disco óptico e da CFN. No presente estudo, estas tecnologias foram comparadas em sua habilidade para diferenciar pacientes glaucomatosos de indivíduos normais. Pacientes com glaucoma foram selecionados com base na presença de defeitos reprodutíveis de campo visual na perimetria acromática automatizada (glaucoma perimétrico), ou com base na evidência documentada de progressão do dano glaucomatoso ao disco óptico, sem presença de defeitos de campo visual (glaucoma pré-perimétrico). Indivíduos normais apresentaram campos visuais e exame clínico dentro da normalidade. Todos os indivíduos foram submetidos a exames com o GDx VCC, HRT II, Stratus OCT e campo visual dentro de um período de três meses. Diversas medidas foram utilizadas para avaliação da acurácia diagnóstica, incluindo áreas sob as curvas receiver operating characteristic (AROC), sensibilidades para especificidades fixas, e razões de probabilidade. Modelos estatísticos foram utilizados para avaliação da influência da severidade do glaucoma e tamanho do disco óptico na performance diagnóstica dos diferentes instrumentos. Um olho de cada indivíduo foi utilizado para análise. Dos 258 sujeitos inicialmente avaliados, 33 (13%) foram posteriormente excluídos por apresentarem imagens de baixa qualidade em pelo menos um dos aparelhos, restando 225 indivíduos (133 glaucomatosos e 92 normais) para análise. Na comparação entre os parâmetros de cada instrumento com maiores valores de AROC, o parâmetro do GDx VCC, Nerve Fiber Indicator (NFI; AROC = 0,91), e o parâmetro do Stratus OCT, Espessura Média (AROC = 0,90), apresentaram áreas sob as curvas ROC significativamente superiores à do parâmetro do HRT II, função discriminante de Bathija (AROC = 0,84). A severidade do defeito de campo visual exerceu influência significativa sob a acurácia diagnóstica dos três instrumentos, com melhora no poder diagnóstico em casos mais avançados da doença. Para o GDx VCC e Stratus OCT, o aumento no tamanho do disco óptico foi associado à diminuição na sensibilidade para detecção do glaucoma; enquanto que, para o HRT II, diminuição no tamanho do disco óptico foi associada à diminuição na sensibilidade. Razões de probabilidade para resultados anormais nas xxv classificações finais de cada instrumento foram associadas a grandes efeitos de mudança na probabilidade pós-teste em relação à probabilidade préteste, sugerindo que o encontro de um resultado anormal em qualquer um destes testes, durante a avaliação de um paciente com suspeita de glaucoma, tem impacto significativo em aumentar a probabilidade de que a doença esteja presente. Além disso, os resultados obtidos na avaliação de pacientes com glaucoma pré-perimétrico sugerem que todos os três instrumentos sejam capazes de detectar alterações estruturais precoces no glaucoma, antes do aparecimento de defeitos de campo visual na perimetria acromática / Changes in the structural appearance of the optic nerve head (ONH) and retinal nerve fiber layer (RNFL) have been reported to precede the development of visual field loss in glaucoma. Detection of ONH and RNFL damage is therefore crucial for early diagnosis of glaucoma and prevention of functional loss from the disease. Scanning laser polarimetry (GDx VCC), confocal scanning laser ophthalmoscopy (HRT II [Heidelberg Retina Tomograph]) and optical coherence tomography (Stratus OCT) are different technologies capable of providing objective and quantitative information related to these structures. The purpose of the present study was to compare, in a single population, the diagnostic abilities of these technologies in the discrimination of glaucomatous patients from healthy subjects. Glaucoma patients were selected based on the presence of repeatable visual field defects, as identified by standard automated perimetry (perimetric glaucoma), or documented evidence of progressive damage to the optic disc, in the absence of detectable visual field loss (preperimetric glaucoma). Normal subjects had normal visual fields and normal clinical examination. All subjects underwent imaging with the GDx VCC, HRT II and Stratus OCT within a 3-month period. Several measures were used for evaluation of diagnostic accuracy, including the area under the receiver operating characteristic curve (AROC), sensitivities at fixed specifities, and likelihood ratios. Statistical models were used to evaluate the influence of glaucoma severity and optic disc size on the diagnostic performance of the different instruments. One eye of each individual was randomly selected for statistical analysis. From an initial group of 258 eligible subjects, 33 (13%) had images of unacceptable quality, leaving 133 glaucoma patients and 92 healthy subjects for further analysis. In the comparison of the parameters with highest values of AROC from each instrument, the GDx VCC Nerve Fiber Indicator (AROC = 0.91) and the Stratus OCT Average Thickness (AROC = 0.90) perfomed significanlty better than the HRT II Bathija discriminant function (AROC = 0.84). For all instruments, the diagnostic accuracy increased with increasing severity of visual field defects. For the GDx VCC and Stratus OCT parameters, an increase in the size of the optic disc was related to a decrease in the sensitivity for glaucoma detection. An opposite effect was observed with the HRT II: a decrease in the size of the optic disc was related to a decrease in the sensitivity for glaucoma diagnosis. Abnormal results for each of the instruments were associated with strong positive likelihood ratios, indicating a large change from prestest to posttest probability of glaucoma. These results suggest that the finding of an abnormal result in any of these tests, when assessing a patient suspect of having glaucoma, would substantially raise the probability of disease. Results of the evaluation of patients with preperimetric glaucoma also suggest that all three instruments are able to detect early glaucomatous structural damage in the absence of visual field loss

Predictive power of classification models can be evaluated by various measures. The most popular measures in data mining (DM) are Gini coefficient, Kolmogorov-Smirnov statistic and lift. These measures are each based on a completely different way of calculation. If an analyst is used to one of these measures it can be difficult for him to asses the predictive power of a model evaluated by another measure. The aim of this thesis is to develop a method how to convert one performance measure into another. Even though this thesis focuses mainly on the above-mentioned measures, it deals also with other measures like sensitivity, specificity, total accuracy and area under ROC curve. During development of DM models you may need to work with a sample that is stratified by values of the target variable Y instead of working with the whole population containing millions of observations. If you evaluate a model developed on a stratified data you may need to convert these measures to the whole population. This thesis describes a way, how to carry out this conversion. A software application (CPM) enabling all these conversions makes part of this thesis. With this application you can not only convert one performance measure to another, but you can also convert measures calculated on a stratified sample to the whole population. Besides the above mentioned performance measures (sensitivity, specificity, total accuracy, Gini coefficient, Kolmogorov-Smirnov statistic), CPM will also generate confusion matrix and performance charts (lift chart, gains chart, ROC chart and KS chart). This thesis comprises the user manual to this application as well as the web address where the application can be downloaded. The theory described in this thesis was verified on the real data.

Alterações no aspecto do disco óptico e da camada de fibras nervosas da retina (CFN) freqüentemente precedem o aparecimento de defeitos de campo visual no glaucoma, o que faz com que a avaliação destas estruturas seja essencial para o diagnóstico precoce e prevenção da perda visual nesta doença. A polarimetria de varredura a laser (GDx VCC), a oftalmoscopia confocal de varredura a laser (HRT II [Heidelberg Retina Tomograph]) e a tomografia de coerência óptica (Stratus OCT) são tecnologias que permitem a avaliação objetiva e quantitativa do disco óptico e da CFN. No presente estudo, estas tecnologias foram comparadas em sua habilidade para diferenciar pacientes glaucomatosos de indivíduos normais. Pacientes com glaucoma foram selecionados com base na presença de defeitos reprodutíveis de campo visual na perimetria acromática automatizada (glaucoma perimétrico), ou com base na evidência documentada de progressão do dano glaucomatoso ao disco óptico, sem presença de defeitos de campo visual (glaucoma pré-perimétrico). Indivíduos normais apresentaram campos visuais e exame clínico dentro da normalidade. Todos os indivíduos foram submetidos a exames com o GDx VCC, HRT II, Stratus OCT e campo visual dentro de um período de três meses. Diversas medidas foram utilizadas para avaliação da acurácia diagnóstica, incluindo áreas sob as curvas receiver operating characteristic (AROC), sensibilidades para especificidades fixas, e razões de probabilidade. Modelos estatísticos foram utilizados para avaliação da influência da severidade do glaucoma e tamanho do disco óptico na performance diagnóstica dos diferentes instrumentos. Um olho de cada indivíduo foi utilizado para análise. Dos 258 sujeitos inicialmente avaliados, 33 (13%) foram posteriormente excluídos por apresentarem imagens de baixa qualidade em pelo menos um dos aparelhos, restando 225 indivíduos (133 glaucomatosos e 92 normais) para análise. Na comparação entre os parâmetros de cada instrumento com maiores valores de AROC, o parâmetro do GDx VCC, Nerve Fiber Indicator (NFI; AROC = 0,91), e o parâmetro do Stratus OCT, Espessura Média (AROC = 0,90), apresentaram áreas sob as curvas ROC significativamente superiores à do parâmetro do HRT II, função discriminante de Bathija (AROC = 0,84). A severidade do defeito de campo visual exerceu influência significativa sob a acurácia diagnóstica dos três instrumentos, com melhora no poder diagnóstico em casos mais avançados da doença. Para o GDx VCC e Stratus OCT, o aumento no tamanho do disco óptico foi associado à diminuição na sensibilidade para detecção do glaucoma; enquanto que, para o HRT II, diminuição no tamanho do disco óptico foi associada à diminuição na sensibilidade. Razões de probabilidade para resultados anormais nas xxv classificações finais de cada instrumento foram associadas a grandes efeitos de mudança na probabilidade pós-teste em relação à probabilidade préteste, sugerindo que o encontro de um resultado anormal em qualquer um destes testes, durante a avaliação de um paciente com suspeita de glaucoma, tem impacto significativo em aumentar a probabilidade de que a doença esteja presente. Além disso, os resultados obtidos na avaliação de pacientes com glaucoma pré-perimétrico sugerem que todos os três instrumentos sejam capazes de detectar alterações estruturais precoces no glaucoma, antes do aparecimento de defeitos de campo visual na perimetria acromática / Changes in the structural appearance of the optic nerve head (ONH) and retinal nerve fiber layer (RNFL) have been reported to precede the development of visual field loss in glaucoma. Detection of ONH and RNFL damage is therefore crucial for early diagnosis of glaucoma and prevention of functional loss from the disease. Scanning laser polarimetry (GDx VCC), confocal scanning laser ophthalmoscopy (HRT II [Heidelberg Retina Tomograph]) and optical coherence tomography (Stratus OCT) are different technologies capable of providing objective and quantitative information related to these structures. The purpose of the present study was to compare, in a single population, the diagnostic abilities of these technologies in the discrimination of glaucomatous patients from healthy subjects. Glaucoma patients were selected based on the presence of repeatable visual field defects, as identified by standard automated perimetry (perimetric glaucoma), or documented evidence of progressive damage to the optic disc, in the absence of detectable visual field loss (preperimetric glaucoma). Normal subjects had normal visual fields and normal clinical examination. All subjects underwent imaging with the GDx VCC, HRT II and Stratus OCT within a 3-month period. Several measures were used for evaluation of diagnostic accuracy, including the area under the receiver operating characteristic curve (AROC), sensitivities at fixed specifities, and likelihood ratios. Statistical models were used to evaluate the influence of glaucoma severity and optic disc size on the diagnostic performance of the different instruments. One eye of each individual was randomly selected for statistical analysis. From an initial group of 258 eligible subjects, 33 (13%) had images of unacceptable quality, leaving 133 glaucoma patients and 92 healthy subjects for further analysis. In the comparison of the parameters with highest values of AROC from each instrument, the GDx VCC Nerve Fiber Indicator (AROC = 0.91) and the Stratus OCT Average Thickness (AROC = 0.90) perfomed significanlty better than the HRT II Bathija discriminant function (AROC = 0.84). For all instruments, the diagnostic accuracy increased with increasing severity of visual field defects. For the GDx VCC and Stratus OCT parameters, an increase in the size of the optic disc was related to a decrease in the sensitivity for glaucoma detection. An opposite effect was observed with the HRT II: a decrease in the size of the optic disc was related to a decrease in the sensitivity for glaucoma diagnosis. Abnormal results for each of the instruments were associated with strong positive likelihood ratios, indicating a large change from prestest to posttest probability of glaucoma. These results suggest that the finding of an abnormal result in any of these tests, when assessing a patient suspect of having glaucoma, would substantially raise the probability of disease. Results of the evaluation of patients with preperimetric glaucoma also suggest that all three instruments are able to detect early glaucomatous structural damage in the absence of visual field loss