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Objectives: We aimed to investigate diaphragm functions via ultrasonography in fetuses with late-onset fetal growth restriction (LO-FGR) and to examine the relationship of these parameters with composite adverse perinatal outcomes (CAPO).
Methods: This prospective cohort study included 40 fetuses with LO-FGR and 40 healthy controls matched for gestational age. Diaphragmatic functions were evaluated using ultrasonography by measuring diaphragm thickness (DT) during inspiration and expiration, diaphragm thickness fraction (DTF), diaphragm excursion (DE), and costophrenic angle (CPA). CAPO was defined as a 5-minute Apgar score of less than 7 and/or infant respiratory complications or admission to the neonatal intensive care unit (NICU). The LO-FGR group was categorized into 2 subgroups: those with CAPO and those without. Statistical analyses evaluated the association between sonographic measurements of the diaphragm and CAPO.
Results: In the LO-FGR group, DT (both inspiratory and expiratory), DTF, DE, and expiratory CPA were markedly reduced (P < .001). In LO-FGR cases that developed CAPO, DT (both inspiratory and expiratory), DTF, and DE were significantly lower (P < .001). Inspiratory DT exhibited the best predictive value for CAPO (area under the curve [AUC]: 0.923), followed by expiratory DT (AUC: 0.865) and DE (AUC: 0.786). Additionally, DUS parameters exhibited better predictive capability relative to Doppler measurements.
Conclusion: Diaphragmatic ultrasonography-derived functional parameters serve as clinically relevant biomarkers for predicting unfavorable perinatal outcomes in LO-FGR. The incorporation of DUS into standard prenatal assessment procedures may enhance the monitoring and management of LO-FGR cases.
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http://dx.doi.org/10.1002/jum.70025 | DOI Listing |
Front Oncol
August 2025
Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Esophageal cancer is a common malignancy with high incidence and mortality rates. Its pathological types vary by region, with squamous cell carcinoma predominant in Asia and adenocarcinoma in Western countries. Accurate staging before treatment is crucial for selecting appropriate therapeutic strategies.
View Article and Find Full Text PDFJACC Cardiovasc Imaging
August 2025
Division of Cardiovascular Diseases and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA. Electronic address:
Med Phys
August 2025
School of Medicine and Surgery, University of Milan Bicocca, Milan, Italy.
Background: Intrafraction motion poses a major challenge in ultrahypofractionated prostate SBRT, where high doses and fewer sessions amplify the impact of positional shifts. Its management varies across centers due to differences in technology, protocols, and resources, and standardized clinical guidelines are still lacking despite widespread recognition of its importance.
Purpose: To provide insights into real-time monitoring and margin selection by quantifying intrafraction prostate motion using two distinct monitoring systems-system A (electromagnetic transmitter-based) and system B (4D transperineal ultrasound-based)-and evaluate their impact on motion patterns in Linac-based SBRT.
Imaging Neurosci (Camb)
August 2025
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Although word production is considered a strongly left hemispheric lateralized function, its cerebral asymmetry varies among individuals. The most popular way of determining hemisphere dominance is to calculate a laterality index (LI) by comparing brain activity between the two hemispheres. Large LIs can readily be classified as left or right dominant, but there is no consensus on how to treat bilateral LIs indicating (near) symmetrical activity.
View Article and Find Full Text PDFUltrasound Med Biol
August 2025
Department General Internal Medicine (DAIM), Hospitals Hirslanden Bern Beau Site, Salem and Permanence, Bern, Switzerland. Electronic address:
Artificial Intelligence (AI) is a theoretical framework and systematic development of computational models designed to execute tasks that traditionally require human cognition. In medical imaging, AI is used for various modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and pathologies across multiple organ systems. However, integrating AI into medical ultrasound presents unique challenges compared to modalities like CT and MRI due to its operator-dependent nature and inherent variability in the image acquisition process.
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