Muitos procedimentos vêm sendo desenvolvidos para auxiliar no diagnóstico precoce do câncer de mama. Devido a subjetividade na interpretação de imagens, os sistemas de diagnóstico auxiliado por computador (CADx) têm oferecido ao especialista uma segunda opinião mais precisa e confiável. Nesse propósito, essa pesquisa apresenta uma metodologia de investigação da potencialidade diagnóstica de um sistema computacional na classificação de achados suspeitos em imagens de ultrassom modo-B e de elastografia da mama. A base de dados foi constituída por 31 lesões malignas e 52 benignas e um conjunto adicional contendo 206 lesões de ultrassom modo-B (144 benignas e 62 malignas) para a realização dos testes de aprendizado de máquina. O contorno foi determinado automaticamente e através do delineamento manual de três radiologistas sob a imagem de ultrassom modo-B e, em seguida, mapeado na imagem elastográfica. As lesões foram classificadas pelo sistema CADx desenvolvido para ultrassom modo-B e elastografia do tipo strain. Os dados foram avaliados por meio da sensibilidade, especificidade e AUC. O sistema CADx desenvolvido proporcionou equivalência diagnóstica para a classificação das lesões a partir das diversas formas de determinação do contorno (manual e automática), permitindo a redução da variabilidade. Além disso, o sistema apontou resultados superiores à análise visual do radiologista que, quando considerado o resultado fornecido pela associação entre as imagens de ultrassom modo-B e elastografia, proporcionou um aumento comparativo de cerca de 7% em sensibilidade e 17,2% em especificidade nos testes com o sistema CADx usando o contorno feito pelo radiologista mais experiente. Além disso, constatou-se uma influência positiva no uso da ferramenta computacional pelos radiologistas, pois, na média, seus índices de sensibilidade e especificidade diagnóstica aumentaram também em relação à situação de análise convencional, passando de 87,1% e 55,8% para 90,3% e 73,1%, respectivamente. / Many procedures have been developed to aid in the early detection and diagnosis of breast cancer. In this context, Computer-Aided Diagnosis (CADx) systems were designed to provide to the specialist a reliable second opinion. This study presents the proposal of investigating the diagnostic ability of a computational system in the characterization of suspicious findings in B-mode ultrasound and breast elastography imaging. The database consisted of 31 malignant and 52 benign lesions and an additional data set containing 206 lesions (144 benign and 62 malignant) seen only on the B-mode ultrasound for performing the machine learning tests. Three radiologists drew manually the contour of the lesions in B-mode ultrasound and we used an automatic technique to segment the lesions. Then, the contour was mapped in the elastography image. The lesions were classified using the CADx system developed for B-mode ultrasound and strain elastography. We calculated the sensitivity, specificity and AUC to evaluate the data. The developed CADx system provided a diagnostic concordance in the classification of breast lesions from the different ways of contour determination (manual and automatic), allowing to reduce the diagnostic variability. In addition, the CADx system showed superior results to the visual analysis of the radiologist. When the radiologist associated both examinations (B-mode ultrasound and elastography), his visual analysis provided 87.10%, 55.77% and 0.714 of sensitivity, specificity and AUC, respectively. When we considered the result provided by the association between B-mode ultrasound and elastography images, the CADx system provided a comparative increase of about 7% of sensitivity and 17.2% of specificity, using the contour delimited by the most experienced radiologist. In addition, a positive influence was observed in the use of the computational tool by radiologists, since, on average, their sensitivity and specificity indexes also increased in relation to the conventional analysis, from 87.1% and 55.8% to 90.3% and 73.1%, respectively.

Muitos procedimentos vêm sendo desenvolvidos para auxiliar no diagnóstico precoce do câncer de mama. Devido a subjetividade na interpretação de imagens, os sistemas de diagnóstico auxiliado por computador (CADx) têm oferecido ao especialista uma segunda opinião mais precisa e confiável. Nesse propósito, essa pesquisa apresenta uma metodologia de investigação da potencialidade diagnóstica de um sistema computacional na classificação de achados suspeitos em imagens de ultrassom modo-B e de elastografia da mama. A base de dados foi constituída por 31 lesões malignas e 52 benignas e um conjunto adicional contendo 206 lesões de ultrassom modo-B (144 benignas e 62 malignas) para a realização dos testes de aprendizado de máquina. O contorno foi determinado automaticamente e através do delineamento manual de três radiologistas sob a imagem de ultrassom modo-B e, em seguida, mapeado na imagem elastográfica. As lesões foram classificadas pelo sistema CADx desenvolvido para ultrassom modo-B e elastografia do tipo strain. Os dados foram avaliados por meio da sensibilidade, especificidade e AUC. O sistema CADx desenvolvido proporcionou equivalência diagnóstica para a classificação das lesões a partir das diversas formas de determinação do contorno (manual e automática), permitindo a redução da variabilidade. Além disso, o sistema apontou resultados superiores à análise visual do radiologista que, quando considerado o resultado fornecido pela associação entre as imagens de ultrassom modo-B e elastografia, proporcionou um aumento comparativo de cerca de 7% em sensibilidade e 17,2% em especificidade nos testes com o sistema CADx usando o contorno feito pelo radiologista mais experiente. Além disso, constatou-se uma influência positiva no uso da ferramenta computacional pelos radiologistas, pois, na média, seus índices de sensibilidade e especificidade diagnóstica aumentaram também em relação à situação de análise convencional, passando de 87,1% e 55,8% para 90,3% e 73,1%, respectivamente. / Many procedures have been developed to aid in the early detection and diagnosis of breast cancer. In this context, Computer-Aided Diagnosis (CADx) systems were designed to provide to the specialist a reliable second opinion. This study presents the proposal of investigating the diagnostic ability of a computational system in the characterization of suspicious findings in B-mode ultrasound and breast elastography imaging. The database consisted of 31 malignant and 52 benign lesions and an additional data set containing 206 lesions (144 benign and 62 malignant) seen only on the B-mode ultrasound for performing the machine learning tests. Three radiologists drew manually the contour of the lesions in B-mode ultrasound and we used an automatic technique to segment the lesions. Then, the contour was mapped in the elastography image. The lesions were classified using the CADx system developed for B-mode ultrasound and strain elastography. We calculated the sensitivity, specificity and AUC to evaluate the data. The developed CADx system provided a diagnostic concordance in the classification of breast lesions from the different ways of contour determination (manual and automatic), allowing to reduce the diagnostic variability. In addition, the CADx system showed superior results to the visual analysis of the radiologist. When the radiologist associated both examinations (B-mode ultrasound and elastography), his visual analysis provided 87.10%, 55.77% and 0.714 of sensitivity, specificity and AUC, respectively. When we considered the result provided by the association between B-mode ultrasound and elastography images, the CADx system provided a comparative increase of about 7% of sensitivity and 17.2% of specificity, using the contour delimited by the most experienced radiologist. In addition, a positive influence was observed in the use of the computational tool by radiologists, since, on average, their sensitivity and specificity indexes also increased in relation to the conventional analysis, from 87.1% and 55.8% to 90.3% and 73.1%, respectively.

Background: Children born very preterm are at an elevated risk of behavioural adjustment problems, particularly Attention-Deficit/Hyperactivity Disorder (ADHD) or inattention/hyperactivity difficulties. Importantly, these risks remain even after controlling for the effects of social risk factors correlated with very preterm birth. Behavioural outcomes in follow-up studies of children born very preterm are typically assessed using parent reports only. However, the extent to which behavioural problems are evident across multiple contexts (i.e., parent or teacher report) is not well known. Furthermore, the neonatal neuropathology underlying these behavioural difficulties in this population remains poorly understood. Aims: Three research studies are undertaken primarily to examine: (1) the degree of agreement between parent and teacher reports of child behaviour adjustment, and the extent of situational (parent- or teacher-identified) and pervasive (parent- and teacher-identified) inattention/hyperactivity problems at ages 4, 6, and 9 years among children born very preterm and full-term; (2) to cross-validate the classification of children with situational and pervasive inattention/hyperactivity problems across the ages of 4 to 9, for a clinical diagnosis of ADHD at age 9 years; (3) to document risk of persistent ADHD symptoms between ages 4 and 9 years in children born very preterm, and to examine associations between qualitative measures of neonatal cerebral white matter injury/abnormality and quantitative volumetric measures of cerebral structural development, identified using magnetic resonance imaging (MRI) at term equivalent age, and children’s later risks of persistent symptoms. Persistent ADHD symptoms were defined as behavioural inattention/hyperactivity problems shown at ages 4, 6, and 9, along with meeting the criteria for an ADHD clinical diagnosis at age 9 years. Methods: As part of a prospective longitudinal study, a regional cohort of 110 very preterm (≤ 33 weeks of gestation) and 113 full-term children born between 1998 and 2000 were studied from birth to age 9 years. At term equivalent age, all children born very preterm and 10 children born full-term underwent an MRI scan that was analysed using qualitative measures for cerebral white matter injury/abnormality, and quantitative volumetric techniques with tissue segmentation and regional parcellation for cortical and subcortical grey matter, myelinated and unmyelinated white matter, and cerebrospinal fluid. At ages 4, 6 (corrected for the extent of prematurity), and 9 years (uncorrected), children were screened for behavioural adjustment problems including inattention/hyperactivity symptoms using the parent and teacher rated Strengths and Difficulties Questionnaire (SDQ). At age 9, the Development and Well-Being Assessment (DAWBA) structured psychiatric interview was also completed with primary caregiver and an independent clinical diagnosis of ADHD determined by a child psychiatrist blinded to child’s perinatal history and group status. Results: Agreement between parent and teacher reports regarding child behaviour adjustment was lower for children born very preterm than full-term (mean alternative chance-correlated coefficient, AC₁ = 0.63 vs. 0.80). Across all assessment time-points, very preterm birth was associated with on average a 2-fold increased risk of behavioural inattention/hyperactivity problems. These elevated risks largely reflected high rates of situational symptoms (very preterm = 22.3% − 31.7%; full-term = 10.9% − 16.7%). In contrast, rates of pervasive symptoms were relatively modest (very preterm = 6.8% − 11.5%; full-term = 4.7% − 7.3%). Examination of the predictive validity of inattention/hyperactivity problems identified using parent and teacher reports showed that children exhibiting situational symptoms at ages 4 and 6 were much less likely than those exhibiting pervasive symptoms, for a subsequent clinical diagnosis of ADHD at age 9 years (very preterm = 29% − 47.8% vs. 66.7% − 75%; full-term = 13.3% − 22.2% vs. 33.3% − 40%). Furthermore, receiver operating characteristic curves fitted to the data showed that children born very preterm exhibiting inattention/hyperactivity problems at two or three time-points (area under curve, AUC = .909) have better predictive validity for later ADHD diagnosis, compared to those exhibiting symptoms at age 4 (AUC = .794) or 6 years (AUC = .813) only. Children born very preterm were also at an elevated risk of persistent ADHD symptoms across the ages of 4 to 9 years, with the risk being 5-fold higher than their full-term peers (13.1% vs. 2.8%). Results also revealed possible associations between neonatal neuropathology and later risk of persistent ADHD symptoms. There were no significant linear associations between increasing severity of qualitative neonatal MRI measures of white matter injury/abnormality and very preterm children’s later risk of persistent ADHD symptoms. However, reduction in total cerebral tissue volumes and corresponding increase of cerebrospinal fluid (adjusted for intracranial volume) were significantly associated with increased risk of persistent symptoms in children born very preterm (p = .001). In terms of regional tissue volumes, total cerebral tissues in the dorsal prefrontal region showed the largest volumetric reductions among all the subregions in children born very preterm exhibiting persistent ADHD symptoms, with 3.2 ml (7%) and 8.2 ml (16%) lower tissue volumes than children born very preterm and full-term without persistent symptoms, respectively. Conclusions: Reliance on a single informant to examine child behaviour outcomes at a single time-point may lead to an under- or over-estimation of later ADHD risks. Combining reports from multiple informants and repeated assessments over time may provide better clinical prognostic validity. Children born very preterm are at an increased risk of behavioural inattention/hyperactivity problems during their early school years; although risks of more severe, pervasive problems are relatively modest compared with situational problems. Behavioural adjustment difficulties recognised as early as during preschool age using standardised behaviour screening tools can be a reliable indicator for identifying children born very preterm at risk of subsequent ADHD diagnosis. Finally, study findings suggest that increased risk of ADHD symptoms in children born very preterm can at least in part be accounted for by disturbances to neonatal cerebral growth and maturation.

Ekokardiologiska undersökningar erbjuder en lätt, snabb och icke-invasiv metod för diagnostik av vänster förmaksvolym (LAV). I dagsläget är hjärt-magnetresonanstomografi (CMR) referensmetod för mätningen. Dock är CMR både tid- och kostnadskrävande, vilket leder till att tvådimensionell ekokardiografi (2DE) istället används. Den relativt nya metoden tredimensionell ekokardiografi (3DE) erbjuder en intressant valmöjlighet vid bedömning av förmaksvolym. Det är studiens syfte att ställa 2DE mot 3DE, gällande modaliteternas korrelation av vänster förmaksvolym, med CMR som referensmetod. Studien undersöker även förhållandet för modaliteternas intra- och inter-bedömar variation. Studien har använt databaserna Pubmed och Medline där systematiska litteratursökningar genomförts under april månad år 2020. Flera inklusions och exklusions kriterier har använts, studien har endast använt artiklar publicerade från 2010 och framåt. 3DE uppvisar en högre korrelation mot CMR vid volymbestämning av LAV. Resultatet visade även att 3DE har en lägre variation mellan både intra- och inter-bedömare än 2DE. 3DE har både en starkare korrelation mot CMR och en lägre bedömarvariation än 2DE, dock lider denna modalitet av begränsningar i dagsläget. Begränsningarna är: tid, personalens erfarenhet, brist på referensvärden samt kostnad för klinikerna. Författarna rekommenderar användning av 3DE för säkrare bedömning av LAV. Fortsatt kunskap som ger adekvata referensvärden och standardiserade mjukvarusystem behövs. / Echocardiological examinations offer an easy, quick, and non-invasive method for diagnosing the left atrium volume (LAV). Cardiac magnetic resonance imaging (CMR) is currently the golden-standard method. However, CMR is time-consuming and costly. Instead two-dimensional echocardiography (2DE) modality is used. The relatively new three-dimensional echocardiography (3DE) method offers an interesting choice when assessing LAV. It’s the purpose of this study to plot 2DE against 3DE regarding LAV correlation and with CMR as reference. The study will examine the relationship between modalities intra- and interobserver variation. Pubmed and Medline databases were used, and systematic literature searches were carried out during April 2020. Inclusion and exclusion criterias have been adopted; the study has only used articles published from 2010 onwards. 3DE shows a higher correlation with CMR in assessment of LAV. The result also showed that 3DE has a lower variation between both intra- and interobserver. 3DE has a stronger correlation to CMR and a lower variation than 2DE, however, 3DE suffers from limitations. These limitations are time, staff experience, lack of reference values and cost to clinics. The authors recommend 3DE for more accurate LAV assessment. Further research for more adequate reference-values and software systems is needed.

Much of the impetus for this research can be attributed to Kenneth W. Hinchcliff, who has studied exercise-induced pulmonary haemorrhage (EIPH) extensively. This thesis focused on EIPH in Thoroughbred racehorses competing in South Africa. Using tracheobronchoscopy, the prevalence and severity of EIPH and the association with racing performance was determined. Thereafter, the prevalence of other respiratory tract disorders and their association with racing performance is reported. This is followed by a study assessing interobserver variability using grading systems in the detection of respiratory tract disorders. Finally, there is a report on the immunopathogenesis of EIPH. Using tracheobronchoscopy after racing, the prevalence and severity of EIPH was assessed in 1,005 racehorses competing at high altitude (> 1,400 meters above sea level) and at sea level in a racing jurisdiction that does not allow the use of furosemide and nasal dilator strips. The prevalence and severity of EIPH was affected by altitude as racing at sea level was associated with a higher prevalence and greater severity of EIPH. Results also suggested that EIPH was associated with superior performance in South African Thoroughbred racehorses. Upper and lower respiratory tract disorders identified following tracheobronchoscopic examination included left arytenoid asymmetry, left laryngeal hemiplegia, epiglottic deformity, epiglottic entrapment, subepiglottic cysts, dorsal displacement of the soft palate, pharyngeal lymphoid hyperplasia (PLH), laryngeal and tracheal dirt, tracheal mucous (TM), tracheal stenosis and tracheal cartilage ring spikes in Thoroughbred racehorses after racing. Overall, there was a low prevalence of grade 2 and 3 arytenoid cartilage asymmetry, left laryngeal hemiplegia, epiglottic entrapment, subepiglottic cysts and epiglottic deformity, while more severe grades of PLH, laryngeal debris, tracheal debris, TM and tracheal cartilage ring spikes had a higher prevalence. An association with sex was identified as tracheal cartilage ring spikes occurred more often in male racehorses. Superior racing performance was identified in racehorses with grade 3 tracheal mucous and tracheal cartilage ring spikes. Endoscopic grading of EIPH, PLH, arytenoid cartilage movement (ACM), and TM was performed by 3 observers that were blinded to each racehorse’s identity and race day performance using previously established grading criteria. Excellent interobserver reliability was seen using the EIPH grading system, while the weighted kappa for PLH, ACM and TM was lower. The study demonstrated sufficient reliability for the use of the EIPH, PLH, ACM and TM grading systems in racehorses competing in South Africa. The study concluded that tracheobronchoscopy seemed to be a practical screening technique that may have prognosticative validity and clinical dependability and that would allow safe and quick assessment of the respiratory tract of a large number of racehorses in field conditions. Venous blood was collected from 10 horses in each EIPH grade classification (grade 0 to 4) following tracheobronchoscopic examinations for the determination of the presence and severity of EIPH. Following RNA isolation and cDNA synthesis, real-time PCR was used to detect equine cytokine-specific mRNA for interleukin (IL) -1, -6, -10, interferon (INF) -ã, and tumor necrosis factor (TNF) -á. Results of this study indicated that increased IL-6, and -10 mRNA production was associated with more severe forms of EIPH. Also, there was greater expression of IL-6 mRNA at sea level and TNF-á mRNA at high altitude. This study concluded that although it was unclear whether the inflammatory response observed in the study was due to pre-existing pulmonary inflammation or as a direct consequence of pulmonary bleeding, the study demonstrated a systemic correlation to pulmonary inflammation. The research reported in this thesis has contributed substantially to the determination of the prevalence, severity and affect on racing performance of respiratory tract disorders in Thoroughbred racehorses competing in South Africa. Also, determination of an association between EIPH and inflammation at a molecular level may assist future researchers in anti-cytokine therapies which may help reduce the prevalence and severity of EIPH. / Thesis (PHD)--University of Pretoria, 2007. / Companion Animal Clinical Studies / unrestricted

Training parents of a child with autism to increase the frequency of their child's social behavior may improve the quality of parent-child interactions. The purpose of this methodological study was to develop a direct observation method for rapidly sampling social harmony between parents and their toddlers with autism during parent training interactions. The current study used a pre and post probe design, with benchmark comparisons to test the discriminability of the measurement protocol across two sets of data. The first set of data came from pre and post training videos from a parent training program for children with a diagnosis of autism or at risk for a diagnosis. The second set of data came from videos of typically developing toddlers and their parents. The results of the study show that the measurement system differentiated in the level of harmonious engagement between the benchmark sample and the sample including children diagnosed with autism. The results are discussed in the context of future directions and the utility of the measurement system for behavior analytic practices in parent training and other settings where rapport and complex interactional behaviors are an intervention priority.