Comparison of amide proton transfer metrics for IDH genotype discrimination in gliomas at low B1.

Yingwen Huo¹, Yinwei Ying², Jiahui Xie¹, Qidan Luo¹, Ruibin Liu³, Bo Yin⁴, Yin Wu⁵

¹Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.

²Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.

³Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China.

⁴Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China. Electronic address: yinbo@fudan.edu.cn.

⁵Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China; Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, Guangdong, China; State Key Laboratory of Biomedical Imaging Science and System, Shenzhen, Guangdong, China. Electronic address: yin.wu@siat.ac.cn.

PubMed DOI

Abstract

Amide proton transfer-weighted (APTw) imaging enables tumor characterization by detecting mobile proteins and peptides. Low B1 levels provide greater spectral selectivity, advantageous for resolving APT signals. However, low B1 also increases the T1 dependence of conventional APT metrics, including magnetization transfer ratio asymmetry (MTRasym), multipool Lorentzian fitting, and inverse differen…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.