Evidence map›Paper›PMID 29948078›Full record

ArticleEuropean radiology2018

Bone susceptibility mapping with MRI is an alternative and reliable biomarker of osteoporosis in postmenopausal women.

Yanjun Chen, Yihao Guo, Xintao Zhang, Yingjie Mei, Yanqiu Feng, Xiaodong Zhang

Abstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Bone Biomarkers Based on Magnetic Resonance Imaging.Seminars in musculoskeletal radiology · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Review
  14. Article
  15. Reproducibility of quantitative susceptibility mapping in lumbar vertebra.Quantitative imaging in medicine and surgery · 2019
    Article
  16. Article
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

6 authors.

Yanjun ChenDepartment of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou, People's Republic of China.
Yihao GuoGuangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, No.1023-1063, Shatai South Road, Baiyun District, Guangzhou, Guangdong, 510515, People's Republic of China.
Xintao ZhangDepartment of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou, People's Republic of China.
Yingjie MeiPhilips Healthcare, Guangzhou, People's Republic of China.
Yanqiu FengGuangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, No.1023-1063, Shatai South Road, Baiyun District, Guangzhou, Guangdong, 510515, People's Republic of China. foree@163.com.
Xiaodong ZhangDepartment of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou, People's Republic of China. ddautumn@126.com.

Funding

Guangdong Science and Technology Department 2017B090912006
6 · The paper itself

Abstract

objectivesTo investigate the efficacy of quantitative susceptibility mapping (QSM) in the assessment of osteoporosis for postmenopausal women.

methodsBetween May and September 2017, a total of 70 postmenopausal women who underwent MRI-based QSM and quantitative computed tomography (QCT) were consecutively enrolled in this prospective study. The measurement of QSM and QCT values was performed on the L3 vertebrae body. On the basis of QCT value, all individuals were divided into three groups (normal, osteopenia and osteoporosis).

resultsOn the basis of QCT, 18 individuals were normal (25.7%), 26 osteopenic (37.1%) and 26 osteoporotic (37.1%). The QSM value was age-related (p = 0.04) and significantly higher in the osteoporosis group than in either the normal or osteopenia group (for all, p < 0.001). In addition, the QSM value was highly correlated with QCT value (r = - 0.720, p < 0.001). For QSM, the area under the curve (AUC), sensitivity and specificity for differentiating osteopenia from non-osteopenia were 0.88, 86.5% and 77.8%, respectively, and for differentiating osteoporosis from non-osteoporosis they were 0.86, 80.8% and 77.3%, respectively.

conclusionsMRI-based QSM could be used for quantifying susceptibility in vertebrae and has the potential to be a new biomarker in the assessment of osteoporosis for postmenopausal women. KEY POINTS: • Osteoporosis significantly increases risk of fracture for postmenopausal women. • QSM value was correlated with QCT value (r = - 0.72, p < 0.001). • QSM is feasible in the assessment of osteoporosis for postmenopausal women. • QSM offers the quantification of susceptibility within bone.

Indexed as

AgedBiomarkersBone DensityFemaleFractures, BoneHumansLumbar VertebraeMagnetic Resonance ImagingMiddle AgedOsteoporosis, PostmenopausalProspective StudiesSensitivity and SpecificityTomography, X-Ray ComputedBiomarkersCalciumMagnetic resonance imagingMultidetector computed tomographyOsteoporosisPostmenopause

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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.