Evidence map›Paper›PMID 32183731›Full record

ArticleBMC medical imaging2020

Percentage fat fraction in magnetic resonance imaging: upgrading the osteoporosis-detecting parameter.

Rong Chang, Xiaowen Ma, Yonghong Jiang, Dageng Huang, Xiujin Chen, Ming Zhang, Dingjun Hao

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. MRI-based vertebral bone quality score: relationship with age and reproducibility.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Article
  7. Article
  8. Quantitative analysis of vertebral fat fraction and R2BMC musculoskeletal disorders · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure.International journal of molecular sciences · 2021
    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

7 authors at 3 institutions in 1 country.

Rong ChangDepartment of Medical Imaging, Honghui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China.
Xiaowen MaDepartment of Medical Imaging, Honghui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China.
Yonghong JiangDepartment of Medical Imaging, Honghui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China.
Dageng HuangDepartment of Orthopedics, Honghui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China.
Xiujin ChenDepartment of Orthopedics, Honghui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China.
Ming ZhangDepartment of Medical Imaging, First Affiliated Hospital, Medical College Xi'an Jiaotong University, Xi'an, 710061, China. zmmri@163.com.
Dingjun HaoDepartment of Orthopedics, Honghui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China. cr4512015105@163.com.
Xi'an Jiaotong University · CNXi'an Honghui Hospital · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis (OP) is a systemic metabolic bone disorder identified as an essential health issue worldwide. Orthopedic imaging approaches were commonly used with some limitations. Thus, our study aimed to investigate the diagnostic value of magnetic resonance spectroscopy (1-H MRS) and m-Dixon-Quant in OP.

methodsA total of 76 subjects were enrolled in the study and bone mineral density (BMD) was measured using quantitative computed tomography (QCT). Then, the subjects were divided into three groups according to BMD: normal control group, osteopenia group and OP group. The following parameters were recorded for each patient: gender, age, height, body weight, waist circumference, and hip circumference. Further, the fat fraction percentage (FF%) values were determined by 1-H MRS and m-Dixon-Quant methods.

resultsIn both 1-H MRS and magnetic resonance Imaging (MRI) m-Dixon-Quant, the FF% exhibited a negative correlation with BMD (P < 0.05). The FF% value of the OP group was significantly higher than that of the control group (P < 0.05). In addition, the FF% value in the m-Dixon scans was positively related to age, while BMD showed a negative linear relationship with age (P < 0.0001). Further, females had a significantly higher FF% value compared to males (P < 0.01), and height was correlated with BMD (P < 0.05) but not with FF% (P > 0.05).

conclusionsMRI investigations especially FF% value in the m-Dixon-Quant imaging system is correlated with OP. Its diagnostic value remains to be demonstrated on a large prospective cohort of patients. Besides, parameters such as age, gender, and height are important factors for predicting and diagnosing OP.

Indexed as

Adipose TissueAgedBody HeightBody WeightBone DensityFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOsteoporosisProspective StudiesProton Magnetic Resonance SpectroscopySensitivity and SpecificityTomography, X-Ray ComputedBone mineral densityFat fraction; MRI m-Dixon-quantMagnetic resonance spectroscopyOsteoporosis

Identifiers

PMID32183731
PMCPMC7079407
OpenAlexW3012000800

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LicenceCC BY
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Registered trials

None linked

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.