Evidence map›Paper›PMID 38845994›Full record

ReviewHeliyon2024

Neurosonography: Shaping the future of neuroprotection strategies in extremely preterm infants.

Lukun Tang, Qi Li, Feifan Xiao, Yanyan Gao, Peng Zhang, Guoqiang Cheng, Laishuan Wang, Chunmei Lu, Mengmeng Ge, Liyuan Hu and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lukun TangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Qi LiDepartment of Intensive Care Medicine, The Sixth Medical Center of PLA General Hospital, China.
Feifan XiaoDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Yanyan GaoDepartment of Ultrasound, Children's Hospital of Fudan University, China.
Peng ZhangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Guoqiang ChengDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Laishuan WangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Chunmei LuDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Mengmeng GeDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Liyuan HuDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Tiantian XiaoChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Zhaoqing YinKunming Medical University Affiliated Dehong Hospital, Dehong, Yunnan, China.
Kai YanDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Wenhao ZhouDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aims to explore the current application of Cranial Ultrasound Screening (CUS) in the diagnosis and treatment of brain diseases in extremely preterm infants. It also discusses the potential role of emerging ultrasound-derived technologies such as Super Microvascular Structure Imaging (SMI), Shear Wave Elastography (SWE), Ultrafast Doppler Ultrasound (UfD), and 3D ventricular volume assessment and automated segmentation techniques in clinical practice. A systematic search of medical databases was conducted using the keywords "(preterm OR extremely preterm OR extremely low birth weight) AND (ultrasound OR ultrasound imaging) AND (neurodevelopment OR brain development OR brain diseases OR brain injury OR neuro*)" to identify relevant literature. The titles, abstracts, and full texts of the identified articles were carefully reviewed to determine their relevance to the research topic. CUS offers unique advantages in early screening and monitoring of brain diseases in extremely preterm infants, as it can be performed at the bedside without the need for anesthesia or special monitoring. This technique facilitates early detection and intervention of conditions such as intraventricular hemorrhage, white matter injury, hydrocephalus, and hypoxic-ischemic injury in critically ill preterm infants. Continuous refinement of the screening and follow-up processes provides reliable clinical decision-making support for healthcare professionals and parents. Emerging ultrasound technologies, such as SWE, SMI, and UfD, are being explored to provide more accurate and in-depth understanding of brain diseases in extremely preterm infants. SWE has demonstrated its effectiveness in assessing the elasticity of neonatal brain tissue, aiding in the localization and quantification of potential brain injuries. SMI can successfully identify microvascular structures in the brain, offering a new perspective on neurologic diseases. UfD provides a high-sensitivity and quantitative imaging method for the prevention and treatment of neonatal brain diseases by detecting subtle changes in red blood cell movement and accurately assessing the status and progression of brain diseases. CUS and its emerging technologies have significant applications in the diagnosis and treatment of brain diseases in extremely preterm infants. Future research aims to address current technical challenges, optimize and enhance the clinical decision-making capabilities related to brain development, and improve the prevention and treatment outcomes of brain diseases in extremely preterm infants.

Indexed as

Cranial ultrasound screeningExtremely preterm infantsMicrovascular structure imagingNeurosonographyShear wave elastographyUltrafast Doppler ultrasound

Identifiers

PMID38845994
PMCPMC11154624

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.