Evidence map›Paper›PMID 40225994›Full record

ArticleAmerican journal of translational research2025

Predictive value of transcranial Doppler ultrasound for brain development and craniocerebral injury in premature infants.

Qin Lu, Ya-Juan Lu, Zhen-Hua Chen, Chao-Ye Cao, Wei Wu

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07427342 (Comparative Analysis of Cerebral Blood Flow in Term and Preterm Neonates Using Doppler Ultrasonography), which is not on this map. Not yet cited in PubMed.

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NCT07427342 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Comparative Analysis of Cerebral Blood Flow in Term and Preterm Neonates Using Doppler Ultrasonography

TypeobservationalSponsorAssiut UniversityRan2026 to 2027Enrolled200ConditionsCerebral Blood Flow
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5 · Who and what money

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5 authors.

Qin LuDepartment of Neonatology, Affiliated Changzhou Children's Hospital of Nantong University Changzhou 213000, Jiangsu, China.
Ya-Juan LuDepartment of Neonatology, Affiliated Changzhou Children's Hospital of Nantong University Changzhou 213000, Jiangsu, China.
Zhen-Hua ChenDepartment of Medical Imaging, Affiliated Changzhou Children's Hospital of Nantong University Changzhou 213000, Jiangsu, China.
Chao-Ye CaoDepartment of Neonatology, Affiliated Changzhou Children's Hospital of Nantong University Changzhou 213000, Jiangsu, China.
Wei WuDepartment of Neonatology, Affiliated Changzhou Children's Hospital of Nantong University Changzhou 213000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the diagnostic value of early transcranial Doppler (TCD) ultrasound in assessing brain function development and intracranial diseases in preterm infants.

methodsA retrospective analysis was conducted on the data of 100 preterm infants admitted to the neonatal intensive care unit (NICU) of Affiliated Changzhou Children's Hospital of Nantong University from June 2022 to December 2023. Based on clinical diagnosis, the infants were divided into two groups: brain injury group (47 cases) and non-brain injury group (53 cases). All infants underwent bedside transcranial ultrasound examination using a color Doppler ultrasound diagnostic instrument. Ultrasound imaging and hemodynamic indices were compared between the two groups. The diagnostic value of color Doppler ultrasound for brain injury in premature infants and the correlation between cerebral hemodynamic indices and brain injury severity were analyzed.

resultsThe sensitivity and accuracy of TCD ultrasound for diagnosing brain injury in preterm infants were 82.98% and 85.00%, respectively. Hemodynamic findings showed that the mean velocity (Vm) in the brain injury group was higher than in the non-brain injury group within 12-24 hours after birth, while the pulsatility index (PI) and resistance index (RI) were lower (both P<0.001). In the moderate to severe brain injury group, Vm was markedly higher, while PI and RI were significantly lower than those of the mild brain injury group within 12-24 hours after birth (P<0.001). The area under the ROC curve for Vm, PI, and RI in predicting brain injury in preterm infants was 0.898, 0.940, and 0.794, respectively, with PI showing the highest diagnostic value. Vm was positively correlated with the degree of brain injury with a coefficient of 0.713; However, PI and RI were negatively correlated with the degree of brain injury (r=-0.706 and -0.645, respectively).

conclusionBedside transcranial ultrasound can effectively reflect the brain parenchymal development of preterm infants. Its hemodynamic indicators can accurately assess intracranial blood flow, making it valuable for detecting brain hemorrhage. Additionally, this method is convenient, non-invasive, and well-accepted by patients, making it a promising tool for clinical practice.

Indexed as

brain function developmentbrain injurypreterm infantsTranscranial Doppler ultrasound

Identifiers

PMID40225994
PMCPMC11982864

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