Evidence map›Paper›PMID 42494440›Full record

ArticleFrontiers in medicine2026

An exploratory multimodal imaging and clinicopathological strategy for suspected Kümmell's disease in the absence of MRI.

Buqing Ma, Guanxiong Wang, Baokun Lin, Dongxu Yang, Yijing Fang, Yihao Zhu, Zibin Li, Chang Liu, Jie Ding, Jiayang Li and 13 more

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

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

23 authors.

Buqing MaThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Guanxiong WangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Baokun LinThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Dongxu YangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yijing FangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yihao ZhuThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Zibin LiThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Chang LiuThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jie DingThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jiayang LiThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Haoyang RaoThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Bin MaiThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Zhen ZhangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Guoye MoThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Huizhi GuoThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Danqing GuoThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yanhuai MaThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yuewei LinThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yongchao TangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Kai YuanThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Shuncong ZhangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Haishan LiState Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yongxian LiThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosing Kümmell's disease (KD) remains a clinical challenge when patients present with contraindications for magnetic resonance imaging (MRI). To address this issue, we propose and make a preliminary attempt at a promising exploratory multimodal diagnostic strategy. It directly combines structural imaging with metabolic data for KD when MRI is contraindicated. Materials and methods: We evaluated suspected KD patients using a stepwise workflow. Following initial clinical symptom screening, patients underwent plain radiography and high-resolution computed tomography (CT) to detect key morphological signs, such as intervertebral vacuum clefts (IVCs) and fracture-end sclerosis. Finally, we utilized Results: CT scans provided conclusive anatomical evidence of vertebral injury and instability. ECT scans revealed metabolic activity, identifying lesions with high metabolic activity (hot areas) or decreased radiotracer uptake intensity (cold areas), corresponding to repair processes and avascular necrosis, respectively. The combination of these multimodal examinations provided convergent imaging evidence supportive of the diagnosis of KD. Conclusion: For KD patients who are not suitable for MRI, a combination of CT and ECT bone imaging may serve as a feasible exploratory diagnostic approach. This technique may help address some limitations of single-modality assessment by linking anatomical information with metabolic activity, contributing to more accurate diagnosis and more informed clinical decision-making.

Indexed as

Kümmell’s diseasemagnetic resonance imagingosteonecrosisosteoporosisradionuclide imagingspinal fractures

Identifiers

PMID42494440
PMCPMC13391406

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