Evidence map›Paper›PMID 36059651›Full record

ArticleFrontiers in oncology2022

Comparing the blood oxygen level-dependent fluctuation power of benign and malignant musculoskeletal tumors using functional magnetic resonance imaging.

Lisha Duan, Huiyuan Huang, Feng Sun, Zhenjiang Zhao, Mengjun Wang, Mei Xing, Yufeng Zang, Xiaofei Xiu, Meng Wang, Hong Yu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2022. 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

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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. Imaging in translational cancer research.Cancer biology & medicine · 2022
    Review
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

12 authors.

Lisha DuanDepartment of Radiology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
Huiyuan HuangCenter for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China.
Feng SunDepartment of Radiology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
Zhenjiang ZhaoDepartment of Radiology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
Mengjun WangDepartment of Radiology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
Mei XingDepartment of Radiology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
Yufeng ZangCenter for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China.
Xiaofei XiuDepartment of Pathology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Meng WangDepartment of Radiology, the First 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.
Han ZhangCenter for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study is to compare the blood oxygen level-dependent (BOLD) fluctuation power in 96 frequency points ranging from 0 to 0.25 Hz between benign and malignant musculoskeletal (MSK) tumors Materials and methods: BOLD-fMRI and T1-weighted imaging (T1WI) of 92 patients with benign or malignant MSK tumors were acquired by 1.5-T magnetic resonance scanner. For each patient, the tumor-related BOLD time series were extracted, and then, the power spectrum of BOLD time series was calculated and was then divided into 96 frequency points. A two-sample Results: The result of the two-sample Conclusion: The mean power of three frequency points at 0.1508, 0.1534, and 0.247 Hz may potentially be a biomarker to differentiate benign from malignant MSK tumors. By combining the power of 0.1508 and 0.1534 Hz, we could better detect the difference between benign and malignant MSK tumors with higher specificity.

Indexed as

benignblood oxygen level-dependentfunctional magnetic resonance imagingmalignantmusculoskeletal tumors

Identifiers

PMID36059651
PMCPMC9434553

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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.