Evidence map›Paper›PMID 39839057›Full record

ArticleQuantitative imaging in medicine and surgery2025

Brain temperature mapping based on chemical exchange saturation transfer signal at 2 ppm.

Siqi Cai, Chongxue Bie, Yang Zhou, Chao Zou, Xi Xu, Ganghan Yang, Chunxiang Jiang, Lijuan Zhang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Siqi Cai *Paul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-3166-6134
Chongxue Bie *Paul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-1373-1983
Yang ZhouPaul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-3920-3070
Chao ZouPaul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-6387-7809
Xi XuPaul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0001-8726-5834
Ganghan YangPaul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0009-0000-6860-1636
Chunxiang JiangPaul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0001-9455-0860
Lijuan ZhangPaul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0003-0814-4925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brain temperature signifies the thermal homeostasis of the tissue, and may serve as a marker for neuroprotective therapy. Currently, it remains challenging to map the human brain temperature with high spatial resolution. The thermal dependence of chemical exchange saturation transfer (CEST) effects of endogenous labile protons may provide a promising mechanism for the absolute brain temperature imaging. In this study, we aimed to investigate the temperature dependency of the CEST effect of creatine (CrCEST), and contemplate its feasibility for brain temperature mapping. Methods: Creatine (Cr) was selected as the endogenous agent to probe the brain temperature. Proof-of-concept phantom experiments were first conducted using a 400 MHz nuclear magnetic resonance (NMR) spectrometer and a 5.0 T magnetic resonance (MR) scanner at various temperatures. A multi-pool Lorentzian fitting model was utilized to quantify the apparent chemical shift, amplitude, linewidth, and integral of CrCEST peak at around 2 ppm. Regression analysis was performed to estimate the thermal response of these CrCEST parameters. Finally, the temperature mapping of Results: A robust linear correlation between the apparent chemical shift of CrCEST and temperature was identified in the Conclusions: The CEST-based approach proposed in this study suggests a path toward label-free brain thermometry

Indexed as

brainchemical exchange saturation transfer (CEST)creatine (Cr)Temperature mapping

Identifiers

PMID39839057
PMCPMC11744107

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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.