Evidence map›Paper›PMID 38545071›Full record

ArticleQuantitative imaging in medicine and surgery2024

Normal bone marrow signal characteristics in whole-body diffusion-weighted images of amateur marathon runners.

Hongwei Cao, Fengzhen Cui, Hong Yu, Jianling Cui, Feilong Ma, Lisha Duan

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Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact, top 96% of its field
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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2 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Hongwei CaoDepartment of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-3247-6893
Fengzhen CuiDepartment of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Hong YuDepartment of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Jianling CuiDepartment of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Feilong MaDepartment of Radiology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Lisha DuanDepartment of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Hebei Medical University · CNThird Hospital of Hebei Medical University · CNChengde Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Marathon training can reverse bone marrow conversion; however, little is known about the normal bone marrow whole-body diffusion-weighted imaging (WB-DWI) signal characteristics of amateur marathon runners. If marathon training can cause diffuse hyperintensity of bone marrow on WB-DWI is essential for correctly interpreting the diffusion-weighted (DW) images. This study sought to evaluate the WB-DWI signal characteristics of normal bone marrow in amateur marathon runners. Methods: In this prospective cross-sectional study, 30 amateur marathon runners who had trained for over 3 years for regular or half-marathon races and had a running frequency of more than 20 days a month at a distance of more than 100 km per month from the Chengde Marathon Outdoor Sports Association in Hebei, China, and 30 age- and gender-matched, healthy volunteers (the control group) who had no long-term heavy-load sports history were recruited between April 2021 to September 2021. All the subjects underwent WB-DWI ( Results: No subjects were excluded from the study. The bone marrow of 30 of the 60 subjects (aged 30-50 years) showed diffuse hyperintensity in the DW images. However, in all 60 subjects, the humeral heads, femoral heads, and great trochanters had low signals. The frequency of diffuse bone marrow DWI hyperintensity was significantly higher in the male amateur marathon runners (50%) than the male controls (5%, P=0.003), but no such significant difference was found between the female amateur marathon runners (100%) and female controls (90%, P>0.99). The DW signal intensity ratios of bone marrow to muscle (SIR Conclusions: Marathon training resulted in diffuse hyperintensity in the bone marrow based on WB-DWI in 50% of the male amateur marathon runners aged 30-50 years. Thus, when WB-DWI is used for bone marrow disease screening, marathon training history should be considered to avoid false-positive diagnoses.

Indexed as

amateur marathon runnersBone marrowmagnetic resonance imaging (MRI)whole-body diffusion-weighted imaging (WB-DWI)

Identifiers

PMID38545071
PMCPMC10963844
OpenAlexW4392594053

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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.