Evidence map›Paper›PMID 38853200›Full record

ArticleInsights into imaging2024

Non-Gaussian diffusion metrics with whole-tumor histogram analysis for bladder cancer diagnosis: muscle invasion and histological grade.

Zhichang Fan, Junting Guo, Xiaoyue Zhang, Zeke Chen, Bin Wang, Yueluan Jiang, Yan Li, Yongfang Wang, Guoqiang Yang, Xiaochun Wang

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Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zhichang Fan *Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Junting Guo *Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaoyue ZhangDepartment of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China.
Zeke ChenDepartment of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China.
Bin WangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yueluan JiangDepartment of MR Research Collaboration, Siemens Healthineers, Beijing, China.
Yan LiDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yongfang WangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Guoqiang YangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaochun WangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China. 2010xiaochun@163.com.ORCID http://orcid.org/0000-0002-3216-5710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the performance of histogram features of non-Gaussian diffusion metrics for diagnosing muscle invasion and histological grade in bladder cancer (BCa).

methodsPatients were prospectively allocated to MR scanner1 (training cohort) or MR2 (testing cohort) for conventional diffusion-weighted imaging (DWI

resultsMR1 included 267 pathologically-confirmed BCa patients (median age, 67 years [IQR, 46-82], 222 men) and MR2 included 83 (median age, 65 years [IQR, 31-82], 73 men). For discriminating muscle invasion, CTRW achieved the highest testing AUC of 0.915, higher than DWI

conclusionCTRW and IVIM are two potential non-Gaussian diffusion models to improve the MRI application in assessing muscle invasion and histological grade of BCa, respectively. CRITICAL RELEVANCE STATEMENT: Our study validates non-Gaussian diffusion imaging as a reliable, non-invasive technique for early assessment of muscle invasion and histological grade in BCa, enhancing accuracy in diagnosis and improving MRI application in BCa diagnostic procedures. KEY POINTS: Muscular invasion largely determines bladder salvageability in bladder cancer patients. Evaluated non-Gaussian diffusion metrics surpassed DWI

Indexed as

Bladder cancerDiffusion-weighted imagingHistological gradeMuscle invasion

Identifiers

PMID38853200
PMCPMC11162990

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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.