Single-breath-hold 3D abdominal metabolic MRI enables label-free diagnosis of liver cancer

Chemical exchange saturation transfer (CEST) MRI could detect proteins/peptides, creatine, glucose, and glycogen by labeling their exchangeable amide, amine, and hydroxyl groups respectively, via frequency-selective RF pulses. Without the need for contrast agents or specialized hardware, CEST can be conveniently integrated into existing clinical MR protocols. However, its abdominal application is limited by long scan time (> 5 min) and susceptibility to respiratory motion (60-70% successful scan rate). We develop an ultra-fast 3D CEST MRI approach using spatial-spectral encoding (SSE), enabling a full spectral scan of whole-liver 3D images within a single breath-hold. SSE-CEST employs an efficient z-ω encoding pattern by applying a saturation gradient, followed by a data-driven spatial spectral reconstruction based on the low-rankness of CEST spectra. SSE-CEST is comprehensively evaluated in glycogen phantoms, ex vivo porcine liver, healthy volunteers and patients. Single breath-hold SSE-CEST largely improves successful rate, with a correlation of 0.95 between two repeated scans. SSE-CEST enables the detection of multi-metabolite changes in the liver and pancreas after an overnight fasting, and the dynamic mapping of hepatic glucose metabolism during an oral glucose test. For liver cancer patients, SSE could differentiate active lesions from post-treatment necrosis, featuring superior in-slice spatial resolution and motion-stabilized images. SSE-CEST MRI potentially could facilitate the diagnosis and patient management for liver and other abdominal diseases.

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Publication Details

Journal
Nature Communications
Published
2026-03-31
DOI
https://doi.org/10.1038/s41467-026-71124-5
Primary Topic
Lanthanide and Transition Metal Complexes
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-breath-hold 3D abdominal metabolic MRI enables label-free diagnosis of liver cancer

Zhuozhao Zheng, Zhongsen Li, Yibei Yu, Juxiang Hou et al.
Nature Communications
Lanthanide and Transition Metal Complexes
article

Single-breath-hold 3D abdominal metabolic MRI enables label-free diagnosis of liver cancer

Zhuozhao Zheng, Zhongsen Li, Yibei Yu, Juxiang Hou, Benqi Zhao, Nan Gao, Haiqi Ren, Chuyu Liu, Xiaolei Song, Xiaowei He, Hao Liu
article en

Abstract

Chemical exchange saturation transfer (CEST) MRI could detect proteins/peptides, creatine, glucose, and glycogen by labeling their exchangeable amide, amine, and hydroxyl groups respectively, via frequency-selective RF pulses. Without the need for contrast agents or specialized hardware, CEST can be conveniently integrated into existing clinical MR protocols. However, its abdominal application is limited by long scan time (> 5 min) and susceptibility to respiratory motion (60-70% successful scan rate). We develop an ultra-fast 3D CEST MRI approach using spatial-spectral encoding (SSE), enabling a full spectral scan of whole-liver 3D images within a single breath-hold. SSE-CEST employs an efficient z-ω encoding pattern by applying a saturation gradient, followed by a data-driven spatial spectral reconstruction based on the low-rankness of CEST spectra. SSE-CEST is comprehensively evaluated in glycogen phantoms, ex vivo porcine liver, healthy volunteers and patients. Single breath-hold SSE-CEST largely improves successful rate, with a correlation of 0.95 between two repeated scans. SSE-CEST enables the detection of multi-metabolite changes in the liver and pancreas after an overnight fasting, and the dynamic mapping of hepatic glucose metabolism during an oral glucose test. For liver cancer patients, SSE could differentiate active lesions from post-treatment necrosis, featuring superior in-slice spatial resolution and motion-stabilized images. SSE-CEST MRI potentially could facilitate the diagnosis and patient management for liver and other abdominal diseases.

Nature Communications
Beijing Institute of Technology (CN), Northwest University (CN), Beijing Tsinghua Chang Gung Hospital (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua University, Natural Science Basic Research Program of Shaanxi Province
Good health and well-being
Openalex Percentile: Top 28%
Lanthanide and Transition Metal Complexes
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