The role of magnetic resonance imaging in the diagnosis and prognostic evaluation of fetuses with congenital diaphragmatic hernia

Amodeo, Ilaria; Borzani, Irene; Raffaeli, Genny; Persico, Nicola; Amelio, Giacomo Simeone; Gulden, Silvia; Colnaghi, Mariarosa; Villamor, Eduardo; Mosca, Fabio; Cavallaro, Giacomo

doi:10.1007/s00431-022-04540-6

Cited by 12 publications

(6 citation statements)

References 127 publications

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“…After the implementation of the comprehensive nursing mode, the nursing efficiency has been improved, the nursing cost has been reduced, and the satisfaction of patients' families and the cure rate of patients have also been significantly improved, which shows that the comprehensive nursing mode has obvious advantages and effects in improving the quality of nursing services, optimizing the utilization of resources and enhancing the satisfaction of patients and their families [10]. However, further in-depth research and continuous monitoring are needed to continuously improve and perfect the comprehensive nursing model to ensure the continuous provision of high-quality nursing services and meet the needs of patients and their families.…”

Section: Discussion and Analysismentioning

confidence: 99%

Construction and practice of comprehensive nursing mode in nursing center of neonatal intensive care unit

2024

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The purpose of this study is to explore the construction and practice of comprehensive nursing mode in neonatal intensive care unit (NICU) nursing center. By collecting and analyzing the data before and after the implementation of comprehensive nursing mode, the paper evaluates the influence of this mode on nursing efficiency, nursing quality and satisfaction of patients and their families. The results show that after the implementation of comprehensive nursing mode, nursing efficiency has been improved, nursing time and expenses have been reduced, and nursing quality and safety have been improved. Family members' satisfaction with nursing service has also been improved, and improvements in nursing quality, communication effect and medical safety have been recognized. In addition, the discharge rate of patients has improved, and the cure rate and recovery speed have also improved. The construction and practice of comprehensive nursing model provides an effective nursing service model for NICU nursing center, which is helpful to improve nursing efficiency and quality, enhance the satisfaction of patients and their families, and promote the recovery and cure of patients.

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Section: Discussion and Analysismentioning

confidence: 99%

Construction and practice of comprehensive nursing mode in nursing center of neonatal intensive care unit

2024

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“…12 Fetal magnetic resonance imaging (MRI) plays a crucial role in better evaluation of the contents within the chest and fetal lungs in the USG-detected CDH and is required and also carried out with increasing frequency. 12,13 The diagnosis of late/delayed-presenting CDH can be confirmed by a plain radiograph of the chest and abdomen demonstrating the presence of the bowel gas pattern within the chest. Insertion of a nasogastric tube prior to the skiagram of a chest and abdomen is also helpful for detecting gastric air bubbles within the chest cavity.…”

Section: Discussionmentioning

confidence: 99%

Delayed presentation of congenital diaphragmatic hernia in children: case series and review of the literature

Ghritlaharey,

Chaubey

2023

Int J Res Med Sci

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Congenital diaphragmatic hernia (CDH) is the most common developmental defect of the diaphragm. Ten to 20% of CDH cases may clinically present later in life, after the neonatal period. This study aims to review the demographics, clinical characteristics, various radiological investigations carried out for the diagnosis, and outcome of the surgical therapy offered for the treatment of late-presenting CDH in children. This study is a retrospective, descriptive study of the children diagnosed with CHD, clinically presented late after the neonatal period, and were surgically treated. These children were admitted and managed in the author’s department of pediatric surgery between January 2019 and September 2023. During the study period, n=5 children (n=3 boys and n=2 girls) were diagnosed as delayed-presenting CDH and were operated upon by the authors. Their age ranged from two to ten months, with a mean of 5.6 months. Four children were diagnosed with left-sided CDH and one of the children with a right-sided CDH. All the children were operated upon through the abdominal incision. The reduction of the hernia contents into the peritoneal cavity and primary repair of the diaphragmatic defect was carried out successfully in all the children. The postoperative recovery was excellent for all the cases. All five children did well during the follow-up period, ranging from one month to four years. Children diagnosed with a delayed-presenting CDH, clinically presented with vague symptoms. Surgical therapy offered for the management of the delayed-presenting above-mentioned CDH cases carries an excellent result.

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“…Fetal magnetic resonance imaging (MRI) enhances prenatal CDH evaluation through high anatomic specificity of the diaphragmatic defect, hernia location, content, and alteration in other fetal organs [ 10 – 12 ]. Therefore, it could be considered the most reliable technique to assess lung hypoplasia and calculate the observed/expected total fetal lung volume (O/E TFLV) [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Congenital diaphragmatic hernia: automatic lung and liver MRI segmentation with nnU-Net, reproducibility of pyradiomics features, and a machine learning application for the classification of liver herniation

Conte,

Amodeo,

De Nunzio

et al. 2024

Eur J Pediatr

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Prenatal assessment of lung size and liver position is essential to stratify congenital diaphragmatic hernia (CDH) fetuses in risk categories, guiding counseling, and patient management. Manual segmentation on fetal MRI provides a quantitative estimation of total lung volume and liver herniation. However, it is time-consuming and operator-dependent. In this study, we utilized a publicly available deep learning (DL) segmentation system (nnU-Net) to automatically contour CDH-affected fetal lungs and liver on MRI sections. Concordance between automatic and manual segmentation was assessed by calculating the Jaccard coefficient. Pyradiomics standard features were then extracted from both manually and automatically segmented regions. The reproducibility of features between the two groups was evaluated through the Wilcoxon rank-sum test and intraclass correlation coefficients (ICCs). We finally tested the reliability of the automatic-segmentation approach by building a ML classifier system for the prediction of liver herniation based on support vector machines (SVM) and trained on shape features computed both in the manual and nnU-Net-segmented organs. We compared the area under the classifier receiver operating characteristic curve (AUC) in the two cases. Pyradiomics features calculated in the manual ROIs were partly reproducible by the same features calculated in nnU-Net segmented ROIs and, when used in the ML procedure, to predict liver herniation (both AUC around 0.85). Conclusion: Our results suggest that automatic MRI segmentation is feasible, with good reproducibility of pyradiomics features, and that a ML system for liver herniation prediction offers good reliability. Trial registration: https://clinicaltrials.gov/ct2/show/NCT04609163?term=NCT04609163&draw=2&rank=1; Clinical Trial Identification no. NCT04609163. What is Known:• Magnetic resonance imaging (MRI) is crucial for prenatal congenital diaphragmatic hernia (CDH) assessment. It enables the quantification of the total lung volume and the extent of liver herniation, which are essential for stratifying the severity of CDH, guiding counseling, and patient management.• The manual segmentation of MRI scans is a time-consuming process that is heavily reliant upon the skill set of the operator. What is New:• MRI lung and liver automatic segmentation using the deep learning nnU-Net system is feasible, with good Jaccard coefficient values and satisfactory reproducibility of pyradiomics features compared to manual results.• A feasible ML system for predicting liver herniation could improve prenatal assessments and CDH patient management.

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The role of magnetic resonance imaging in the diagnosis and prognostic evaluation of fetuses with congenital diaphragmatic hernia

Cited by 12 publications

References 127 publications

Construction and practice of comprehensive nursing mode in nursing center of neonatal intensive care unit

Construction and practice of comprehensive nursing mode in nursing center of neonatal intensive care unit

Delayed presentation of congenital diaphragmatic hernia in children: case series and review of the literature

Congenital diaphragmatic hernia: automatic lung and liver MRI segmentation with nnU-Net, reproducibility of pyradiomics features, and a machine learning application for the classification of liver herniation

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