PEEK Cranioplasty as an Acoustic Window for Transcranial Sonography: Blinded Image Quality Assessment by Clinicians with Exploratory AI Concordance Analysis

Ming Chen; Aishun Guo; Qun Huang; Chun-Rong Zhong; Yaduan Gan; You Zhou; Zhi-ying Han; Weiwei Wang; Xiao Yang

doi:10.1016/j.wneu.2025.124638

November 1, 2025World NeurosurgeryOpen Access

PEEK Cranioplasty as an Acoustic Window for Transcranial Sonography: Blinded Image Quality Assessment by Clinicians with Exploratory AI Concordance Analysis

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Key Points

To assess the effectiveness of PEEK cranioplasty as an acoustic window for transcranial sonography and evaluate AI's role in image quality assessment.
Blinded image quality assessment by clinicians on transcranial sonography images.
Exploratory analysis of AI concordance with clinician evaluations.
Utilization of PEEK cranioplasty to enhance acoustic properties for ultrasound imaging.
Clinician evaluations of image quality demonstrated supportive results for PEEK cranioplasty as an acoustic window.
AI image assessment showed potential consistency with clinician judgments in neurosonographic evaluations.

Implication

Blinded assessment of image quality in TCS using PEEK cranioplasty suggests AI may aid clinician evaluations.

Abstract

PEEK cranioplasty provides an effective acoustic window for TCS, supporting its potential as a postoperative neuro-monitoring tool. AI-based image assessment demonstrates potential as an objective and consistent adjunct to clinician evaluation in neurosonographic practice.

Discussion

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Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/6925437fc0ce034ddc358e6c https://doi.org/10.1016/j.wneu.2025.124638

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PEEK Cranioplasty as an Acoustic Window for Transcranial Sonography: Blinded Image Quality Assessment by Clinicians with Exploratory AI Concordance Analysis

Key Points

Implication

Abstract

Discussion

Cite This Study

PEEK Cranioplasty as an Acoustic Window for Transcranial Sonography: Blinded Image Quality Assessment by Clinicians with Exploratory AI Concordance Analysis

Key Points

Implication

Abstract

Discussion

Cite This Study

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