Evidence map›Paper›PMID 42711330›Full record

ArticleNature communications2026

Noninvasive 3D mapping of tissue stress using reverberant shear wave.

Shengyuan Ma, Suhao Qiu, Shun Yao, Wei Jin, Changwei Gu, Xiaona Li, Hexiang Sun, Yiwen Shen, Wenting Rui, Yuting Bao and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Shengyuan MaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-0081-3215
Suhao QiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shun YaoDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Wei JinDepartment of Neurology, Shanghai Sixth People's Hospital affilated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Changwei GuDepartment of Neursurgery, RuiJin Hospital LuWan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaona LiDepartment of Neursurgery, RuiJin Hospital LuWan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hexiang SunDepartment of Neursurgery, RuiJin Hospital LuWan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yiwen ShenDepartment of radiology, Central Laboratory, RuiJin Hospital LuWan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Wenting RuiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Yuting BaoDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Peijun ZhaoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Qi YueDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Zhenwei YaoDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Nidan QiaoDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Qingfang SunDepartment of Neurosurgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-2691-476X
Jun LiuDepartment of Neurology and Institute of Neurology, Ruijin Hospital affiliated to Shansghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-8300-8646
Fuhua YanDepartment of Radiology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xi-Qiao FengInstitute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing, China.ORCID 0000-0001-6894-7979
Guang-Zhong YangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-4060-4020
Yuan FengSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. fengyuan@sjtu.edu.cn.ORCID 0000-0003-1902-3408

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32271359National Natural Science Foundation of China (National Science Foundation of China) 32322042Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 22ZR1429600Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 2021SHZDZXScience and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 20DZ2220400
6 · The paper itself

Abstract

Mechanical stress is a fundamental aspect of soft tissues that influences cellular behavior and tissue integrity, yet noninvasive imaging of stress in vivo remains a major challenge. Conventional magnetic resonance elastography (MRE) measures tissue stiffness but not stress. Employing a physics-informed model, we analyze reverberant shear wave fields recorded by MRE to capture the 3D mapping of tissue stress. By decomposing reverberant waves into anisotropic traveling wave components, we establish a direct relationship between wave speed, polarization, and local stress, without requiring wave direction knowledge. This method was validated with numerical simulations and phantom experiments. Applied to patients with meningiomas and pituitary adenomas, it generated high-resolution stress maps consistent with anatomy and physiology. Cortical stress measurements enabled intracranial pressure estimation, uncovering trends related to patient age and pathology. Our results demonstrate that noninvasive stress imaging provides a novel quantitative biomarker for mechanobiological research and suggests new possibilities for clinical applications.

Indexed as

Elasticity Imaging TechniquesImaging, Three-DimensionalMeningiomaStress, MechanicalAdenomaHumansMagnetic Resonance ImagingMeningeal NeoplasmsPhantoms, ImagingPituitary NeoplasmsShear Strength

Identifiers

PMID42711330
PMCPMC13554193

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.