Detection of airway anomalies in pediatric patients with cardiovascular anomalies with low dose prospective ECG-gated dual-source CT

Unsupervised anomaly appraisal of cleft faces using a StyleGAN2-based model adaptation technique

A novel machine learning framework that is able to consistently detect, localize, and measure the severity of human congenital cleft lip anomalies is introduced. The ultimate goal is to fill an important clinical void: to provide an objective and clinically feasible method of gauging baseline facial deformity and the change obtained through reconstructive surgical intervention. The proposed method first employs the StyleGAN2 generative adversarial network with model adaptation to produce a normalized transformation of 125 faces, and then uses a pixel-wise subtraction approach to assess the difference between all baseline images and their normalized counterparts (a proxy for severity of deformity). The pipeline of the proposed framework consists of the following steps: image preprocessing, face normalization, color transformation, heat-map generation, morphological erosion, and abnormality scoring. Heatmaps that finely discern anatomic anomalies visually corroborate the generated scores. The proposed framework is validated through computer simulations as well as by comparison of machine-generated versus human ratings of facial images. The anomaly scores yielded by the proposed computer model correlate closely with human ratings, with a calculated Pearson's r score of 0.89. The proposed pixel-wise measurement technique is shown to more closely mirror human ratings of cleft faces than two other existing, state-of-the-art image quality metrics (Learned Perceptual Image Patch Similarity and Structural Similarity Index). The proposed model may represent a new standard for objective, automated, and real-time clinical measurement of faces affected by congenital cleft deformity.

The comorbidities and risk factors in children with congenital airway anomalies: A nationwide population-based study in Taiwan

The comorbidities and risk factors associated with congenital airway anomalies (CAAs) in children are undecided. This study aimed to investigate the comorbidities commonly associated with CAA and to explore the prognosis and risk factors in CAA children.This nationwide, population-based cohort study was conducted between 2000 and 2011 with children aged 0 to 5 years assigned to either a CAA group (6341 patients) that diagnosed with CAA or an age- and gender-matched control group (25,159 patients) without CAA, using the Taiwan National Health Insurance Research Database (NHIRD). Descriptive, logistic regression, Kaplan-Meier, and Cox regression analyses were used for the investigation.Cleft lip/palate (adjusted odds ratio [aOR], 7.88; 95% confidence interval [CI], 6.49-9.59), chromosome (aOR, 6.85; 95% CI, 5.03-9.34), and congenital neurologic (aOR, 5.52; 95% CI, 4.45-6.87) anomalies were the comorbidities most highly associated with CAA. Of the 31,500 eligible study patients, 636 (399 in the CAA group and 237 in the control group) died during the follow-up period (6.3% vs 0.9%, P < .001). The mortality risk after adjusting for age, gender, and comorbidities elevated significantly among CAA patients (adjusted hazard ratio [aHR], 4.59; 95% CI, 3.85-5.48). The need for tracheostomy (aHR, 2.98; 95% CI, 2.15-4.15), comorbidity with congenital heart disease (CHD) (aHR, 2.52; 95% CI, 2.05-3.10), and chromosome anomaly (aHR, 2.34; 95% CI, 1.70-3.23) were the independent risk factors most greatly related to CAA mortality.This study demonstrated that CAA was most highly associated with the comorbidities as cleft lip/palate, chromosome, and congenital neurologic anomalies. The CAA children had a significantly elevated mortality risk; the need for tracheostomy, CHD, and chromosome anomaly were the most related risk factors of mortality for CAA. Further studies are warranted to clarify the involved mechanisms.

Prognosis and Risk Factors for Congenital Airway Anomalies in Children with Congenital Heart Disease: A Nationwide Population-Based Study in Taiwan

BACKGROUND

The mortality risk associated with congenital airway anomalies (CAA) in children with congenital heart disease (CHD) is unclear. This study aimed to investigate the factors associated with CAA, and the associated mortality risk, among children with CHD.

METHODS

This nationwide, population-based study evaluated 39,652 children with CHD aged 0-5 years between 2000 and 2011, using the Taiwan National Health Insurance Research Database (NHIRD). We performed descriptive, logistic regression, Kaplan-Meier, and Cox regression analyses of the data.

RESULTS

Among the children with CHD, 1,591 (4.0%) had concomitant CAA. Children with CHD had an increased likelihood of CAA if they were boys (odds ratio [OR], 1.48; 95% confidence interval [CI], 1.33-1.64), infants (OR, 5.42; 95%CI, 4.06-7.24), or had a congenital musculoskeletal anomaly (OR, 3.19; 95%CI, 2.67-3.81), and were typically identified 0-3 years after CHD diagnosis (OR, 1.33; 95%CI 1.17-1.51). The mortality risk was increased in children with CHD and CAA (crude hazard ratio [HR], 2.05; 95%CI, 1.77-2.37), even after adjusting for confounders (adjusted HR, 1.76; 95%CI, 1.51-2.04). Mortality risk also changed by age and sex (adjusted HR and 95%CI are quoted): neonates, infants, and toddlers and preschool children, 1.67 (1.40-2.00), 1.93 (1.47-2.55), and 4.77 (1.39-16.44), respectively; and boys and girls, 1.62 (1.32-1.98) and 2.01 (1.61-2.50), respectively.

CONCLUSION

The mortality risk is significantly increased among children with CHD and comorbid CAA. Clinicians should actively seek CAA during the follow-up of children with CHD.