Evidence map›Paper›PMID 39955741›Full record

ArticleAdvanced healthcare materials2025

Non-Surgical, In-Stent Membrane Bioelectronics for Long-Term Intracranial Pressure Monitoring.

Jimin Lee, Allison Bateman, Mi Hyeon Kim, Bruno Rigo, Hodam Kim, Jaeho Lee, Yun Hyeok Choi, Robert Herbert, Deok Hee Lee, Woon-Hong Yeo

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Jimin LeeGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID 0000-0002-8703-0979
Allison BatemanGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID 0009-0008-7892-682X
Mi Hyeon KimDepartment of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.ORCID 0000-0002-9232-0401
Bruno RigoWearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID 0000-0002-1068-515X
Hodam KimGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID 0000-0003-0439-6236
Jaeho LeeGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID 0009-0008-3178-8730
Yun Hyeok ChoiDepartment of Neurosurgery, Haeundae Paik Hospital, 875, Haeun-daero, Haeundae-gu, Busan, 48108, Republic of Korea.ORCID 0000-0002-5064-2226
Robert HerbertDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.ORCID 0000-0001-9885-0684
Deok Hee LeeDepartment of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.ORCID 0000-0003-0355-0449
Woon-Hong YeoGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID 0000-0002-5526-3882

Funding

National Science Foundation CCSS-2152638National Science Foundation ECCS-2025462
6 · The paper itself

Abstract

Traditional intracranial pressure (ICP) monitoring methods, using intraventricular catheters, face significant limitations, including high invasiveness, discrete data, calibration complexities, and drift issues, which hinder long-term and stable monitoring. Here, a non-surgical, in-stent membrane bioelectronic system is presented for continuous and reliable ICP monitoring. This platform integrates a capacitive thin-film sensor with a stent, enabling precise real-time detection of pressure fluctuations directly within the dural venous sinus without requiring skull penetration or frequent recalibration. The sensor demonstrates a high sensitivity of 0.052%/mmHg and a broad, readable pressure range of 3-30 mmHg while maintaining calibration-free and drift-free performance. A series of in vivo studies highlight the system's superior sensitivity, rapid sampling rate, and long-term stability compared to conventional microcatheters. Statistical analyses reveal a strong agreement between the device and clinical reference, underscoring its potential to revolutionize ICP monitoring. These advancements pave the way for broader clinical applications, minimizing complications and improving patient outcomes in neurocritical care.

Indexed as

Intracranial PressureStentsAnimalsHumansMonitoring, Physiologiccapacitive sensorsendovascular stentintracranial pressureminimally invasiveporous pyramidal structure

Identifiers

PMID39955741
PMCPMC12083435

What OpenQuestion holds

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Registered trials

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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.