Impact of Prenatal and Postnatal Diagnosis on Parents: Psychosocial and Economic Aspects Related to Congenital Heart Defects in Children

Zych-Krekora, Katarzyna; Sylwestrzak, Oskar; Grzesiak, Mariusz; Krekora, Michał

doi:10.3390/jcm12185773

Cited by 2 publications

(1 citation statement)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, there is no relevant literature about landmarks detection in the field of FE. Congenital cardiovascular defects affect the outcomes of newborns or infants and the quality of life of individuals and families ( 14 ). In addition, Vena and the colleagues ( 15 ) show that obstructive lesions of the left-side and right-side cardiac system are associated with fetal neurodevelopmental abnormalities.…”

Section: Introductionmentioning

confidence: 99%

Application of neural networks in prenatal diagnosis of atrioventricular septal defect

Zhou,

Yang,

Ruan

et al. 2024

Transl Pediatr

View full text Add to dashboard Cite

Background There is no relevant study on landmarks detection, one of the Convolutional Neural Network algorithms, in the field of fetal echocardiography (FE). This study aimed to explore whether automatic landmarks detection could be used in FE correctly and whether the atrial length (AL) to ventricular length (VL) ratio (AVLR) could be used to diagnose atrioventricular septal defect (AVSD) prenatally. Methods This was an observational study. Two hundred and seventy-eight four-chamber views in end diastole, divided into the normal, AVSD, and differential diagnosis groups, were retrospectively included in this study. Seven landmarks were labeled sequentially by the experts on these images, and all images were divided into the training and test sets for normal, AVSD, and differential diagnosis groups. U-net, MA-net, and Link-net were used as landmark prediction neural networks. The accuracy of the landmark detection, AL, and VL measurements, as well as the prenatal diagnostic effectiveness of AVLR for AVSD, was compared with the expert labeled. Results U-net, MA-net, and Link-net could detect the landmarks precisely (within the localization error of 0.09 and 0.13 on X and Y axis) and measure AL and VL accurately (the measured pixel distance error of AL and VL were 0.12 and 0.01 separately). AVLR in AVSD was greater than in other groups (P<0.0001), but the statistical difference was not obvious in the complete, partial, and transitional subgroups (P>0.05). The diagnostic effectiveness of AVLR calculated by three models, area under receiver operating characteristic curve could reach 0.992 (0.968–1.000), was consistent with the expert labeled. Conclusions U-net, Link-net, and MA-net could detect landmarks and make the measurements accurately. AVLR calculated by three neural networks could be used to make the prenatal diagnosis of AVSD.

show abstract

Section: Introductionmentioning

confidence: 99%

Application of neural networks in prenatal diagnosis of atrioventricular septal defect

Zhou,

Yang,

Ruan

et al. 2024

Transl Pediatr

View full text Add to dashboard Cite

show abstract

Preferences for Peer Support Amongst Families Engaged in Paediatric Screening Programmes: The Perspectives of Parents Involved in Screening for Type 1 Diabetes in Children Aged 3–13

Litchfield,

Quinn,

Boardman

et al. 2024

Health Expectations

View full text Add to dashboard Cite

IntroductionThis work describes a secondary analysis of a qualitative data set originally used to understand parent participants' preferences for the design and implementation of a screening programme for paediatric Type 1 diabetes (T1D). From this, their spontaneous preferences for peer support emerged, described here in the context of existing peer support programmes for the newly diagnosed alongside suggestions for their incorporation into screening programmes for T1D and a range of other conditions.MethodsData were collected from semi‐structured interviews conducted with parents of children aged 3–13 years to explore their expectations, perceptions and preferences of a T1D paediatric screening programme. A secondary analysis of interviews from participants who spontaneously raised preferences for peer support was used to populate a novel framework informed by NHS England's key principles for the same, namely, Shared experiences and reciprocated support, Accessibility and inclusivity and Person‐centred and integrated peer support.ResultsParents in 29 of 33 interviews spontaneously described the potential value of peer support if receiving a result indicating a positive (presymptomatic T1D result) from a screening programme. Specifically, the value of ‘Shared experiences and reciprocated support’ in terms of emotional support and reassurance, and access to more directly interpretable and relevant information related to the condition; ‘Accessibility and inclusivity’ relating to access to a community of similar individuals, whether in person or online; ‘Person‐centred and integrated peer‐support’ and the need for support reflecting the changing need of the child and the integration of peer support with clinical care.ConclusionsThe needs of peer support described by parents involved in T1D paediatric screening appear to be shared with those of families with children diagnosed with a range of life‐altering conditions. Although the needs of peer support for paediatric screening may differ across conditions, our findings are a valuable starting point for its design both in T1D and other examples of similar population screening programmes.Patient or Public ContributionPatients and the public have been involved throughout the design of the ELSA study and have worked with us to inform the study process. They contributed to the design and content of patient‐facing materials, the content of our topic guides and the analysis and interpretation of our findings.

show abstract

Impact of Prenatal and Postnatal Diagnosis on Parents: Psychosocial and Economic Aspects Related to Congenital Heart Defects in Children

Cited by 2 publications

References 40 publications

Application of neural networks in prenatal diagnosis of atrioventricular septal defect

Application of neural networks in prenatal diagnosis of atrioventricular septal defect

Preferences for Peer Support Amongst Families Engaged in Paediatric Screening Programmes: The Perspectives of Parents Involved in Screening for Type 1 Diabetes in Children Aged 3–13

Contact Info

Product

Resources

About