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Research progress in imaging evaluation of liver reserve function
ZHANG Yiming  GUO Shunlin 

Cite this article as: ZHANG Y M, GUO S L. Research progress in imaging evaluation of liver reserve function[J]. Chin J Magn Reson Imaging, 2025, 16(10): 184-190, 207. DOI:10.12015/issn.1674-8034.2025.10.029.


[Abstract] Liver reserve function refers to the capacity of the liver to maintain its physiological functions under stress or injury, the accurate assessment of which is critical for developing individualized treatment strategies, reducing postoperative complications, and improving patient survival. Conventional clinical evaluation methods, such as the Child-Pugh score, are limited by their singularity and subjectivity, failing to comprehensively reflect the actual functional reserve of the liver. In recent years, medical imaging technologies have demonstrated significant advancements in the evaluation of liver reserve function, with various modalities offering distinct advantages and limitations. For instance, ultrasound imaging allows real-time dynamic observation but suffers from limited spatial resolution. Computed tomography (CT) provides detailed anatomical information but involves considerable radiation exposure. Magnetic resonance imaging (MRI), with its superior soft-tissue contrast and diverse functional sequences, particularly multimodal MRI, has markedly improved assessment accuracy by offering detailed insights into liver microcirculation and fibrosis, albeit at a higher cost. Although several reviews have summarized imaging-based liver function assessment, most focus on earlier technological developments and lack a systematic discussion and cross-modality comparison of emerging multimodal imaging techniques, such as fusion imaging and artificial intelligence (AI)-assisted analysis, in the context of liver reserve function. Coverage remains relatively narrow in scope. Therefore, this review aims to systematically evaluate and compare the strengths and limitations of ultrasound, CT, MRI, and AI-based methodologies, with emphasis on advances over the past three years. We will highlight innovative applications of multimodal MRI and AI technologies in assessing liver reserve function, intending to provide more precise and integrated imaging-based evidence for clinical practice.
[Keywords] liver reserve function；imaging techniques；magnetic resonance imaging；computed tomography；ultrasound；artificial intelligence

ZHANG Yiming1   GUO Shunlin1, 2*  

1 The First Clinical Medical College of Lanzhou University, Lanzhou 730030, China

2 Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730030, China

Corresponding author: GUO S L, E-mail: guoshl@lzu.edu.cn

Conflicts of interest   None.

Received  2025-07-14
Accepted  2025-10-10
DOI: 10.12015/issn.1674-8034.2025.10.029
Cite this article as: ZHANG Y M, GUO S L. Research progress in imaging evaluation of liver reserve function[J]. Chin J Magn Reson Imaging, 2025, 16(10): 184-190, 207. DOI:10.12015/issn.1674-8034.2025.10.029.

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