Evidence map›Paper›PMID 41224943›Full record

ArticleScientific reports2025

Quantitative assessment of benign and malignant bone tumours using synthetic magnetic resonance imaging and diffusion measures.

Haitian Liu, Yinghua Zhang, Xiaohui Ma, Lei Gao, Bokang Wang, Tiantian Xu, Enpeng Gao, Jian Zhao, Zuzhuo Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Haitian LiuDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Yinghua ZhangDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Xiaohui MaDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Lei GaoDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Bokang WangDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Tiantian XuDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Enpeng GaoDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Jian ZhaoDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China.
Zuzhuo ZhangDepartment of Medical Imaging, HEBEI MEDICAL UNIVERSITY THIRD HOSPITAL, Shijiazhuang, Hebei Province, China. zhangzuzhuo@126.com.

Funding

The project of Hebei Provincial Medical Science Research 20240292
6 · The paper itself

Abstract

Our study aimed to evaluate the feasibility of quantitative magnetic resonance imaging (MRI) for characterising benign and malignant bone tumours. We analysed forty-seven patients with bone tumours who underwent Synthetic MRI with magnetic resonance image complication (MAGIC) and intravoxel incoherent motion (IVIM) sequence imaging performed at 3 T MRI. Based on different pathological results, the patients were divided into benign and malignant bone tumour groups. Two radiologists performed statistical analysis to analyse whether the parameters T1 relaxation time (T1), T2 relaxation time (T2), proton density relaxation time from MAGIC and diffusion-coefficient (D), perfusion-coefficient (D*), perfusion fraction (f) from IVIM to differentiate malignant and benign bone tumours effectively. T1 and D for malignant tumours were significantly lower than benign bone tumours. The combined T1 and D parameters had the best performance for differentiating malignant from benign bone tumours with receiver operating characteristic curves of 0.860. The MAGIC and IVIM techniques can provide quantitative parameters for identifying benign and malignant bone tumours, with the parameters T1 and D demonstrating high diagnostic efficiency. This approach may serve as an effective strategy for improving bone tumour differentiation.

Indexed as

Bone NeoplasmsDiffusion Magnetic Resonance ImagingMagnetic Resonance ImagingAdolescentAdultAgedChildFemaleHumansMaleMiddle AgedROC CurveYoung AdultBenign bone tumourDiffusion weighted imagingMalignant bone tumourQuantitative magnetic resonance imagingSynthetic magnetic resonance imaging

Identifiers

PMID41224943
PMCPMC12612094

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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.