Evidence map›Paper›PMID 41945277›Full record

ArticleInsights into imaging2026

Chinese expert consensus on magnetic resonance-guided focused ultrasound surgery for painful bone metastases.

Xuhui Fan, Na Tang, Jianjun Gu, Xiaorui Yin, Depeng Liu, Jiakang Shen, Junhai Zhang, Shengping Wang, Han Wang

Abstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xuhui FanDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Na TangDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianjun GuDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaorui YinDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Depeng LiuDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiakang ShenDepartment of Orthopedic Oncology, Shanghai Bone Tumor Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junhai ZhangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Shengping WangDepartment of Radiology, Shanghai Cancer Center, Fudan University, Shanghai, China.
Han WangDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. han.wang@shsmu.edu.cn.ORCID http://orcid.org/0000-0001-8042-1232

Funding

National Natural Science Foundation of China 82271969Science and Technology Commission of Shanghai Municipality 25ZR1401440Shanghai Municipal Education Commission 202101070002E00085Shanghai Municipal Hospital Development Center SHDC22011310-AShanghai Municipal Hospital Development Center SHDC22025311-B
6 · The paper itself

Abstract

Magnetic resonance-guided focused ultrasound surgery (MRgFUS) is an emerging noninvasive treatment for painful bone metastases. The therapeutic mechanism involves precise thermal ablation of periosteal nerve endings combined with controlled necrosis of tumor-involved soft tissue, achieving both immediate pain relief and local disease control. Compared to conventional treatments such as opioid therapy, radiation, or chemotherapy, MRgFUS offers distinct advantages, including non-addictiveness, rapid pain relief, minimal systemic side effects, and excellent patient tolerance. To standardize and optimize MRgFUS clinical practice, the Radiology Department Association of Hospitals of Shanghai and the Micro/Non-invasive Treatment Committee of the Chinese Research Hospital Association have jointly developed this expert consensus document through a structured face-to-face consensus meeting involving 29 experts, combined with anonymous voting. This consensus comprehensively outlines the clinical application of MRgFUS, detailing indications and contraindications, while establishing standardized protocols for preoperative multidisciplinary evaluation, intraoperative workflow (encompassing team responsibilities, technical specifications, treatment planning, and real-time thermal monitoring), postoperative care, adverse event management, and long-term follow-up to assess treatment efficacy and safety outcomes. This consensus further proposes future development strategies for MRgFUS, emphasizing the establishment of global case data registries for collaborative research and the application of AI technologies to identify optimal candidates, thereby standardizing and optimizing procedural efficiency to advance MRgFUS applications in painful bone metastases. CRITICAL RELEVANCE STATEMENT: This expert consensus provides a detailed analysis of the advantages and target populations of MRgFUS, along with comprehensive technical considerations for the procedure. KEY POINTS: Magnetic resonance-guided focused ultrasound surgery (MRgFUS) requires expert consensus to standardize clinical application. MRgFUS is an effective alternative therapy‌, and this consensus detailed MRgFUS operational standards for painful bone metastases. This consensus enhances operator understanding of MRgFUS and facilitates its clinical adoption for painful bone metastases.

Indexed as

Expert consensusMagnetic resonance-guided focused ultrasound‌Metastatic bone pain

Identifiers

PMID41945277
PMCPMC13057040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.