Adding liver R2* quantification to proton density fat fraction MRI of vertebral bone marrow improves the prediction of osteoporosis

Lu, Feng; Zhao, Yanjun; Ni, Jianming; Jiang, Ying; Chen, Fang‐Ming; Wang, Zhongjuan; Zhang, Zhuiyang

doi:10.1007/s00330-022-08861-w

Cited by 4 publications

(2 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, patients with lumbar vertebral disease were excluded from this study. Although several studies have shown that PDFF measurements with CSPI can be implemented accurately in livers with histological findings, [ 19 , 23 , 31 ] further studies are warranted to evaluate the accuracy of the PDFF measurements obtained using CSE-MRI with CSPI of the lumbar vertebrae. Fourth, our study only investigated the accuracy of the PDFF measurements obtained using CSPI with an acceleration factor of up to 4.8.…”

Section: Discussionmentioning

confidence: 99%

Chemical shift-encoded MRI with compressed sensing combined with parallel imaging for proton density fat fraction measurement of the lumbar vertebral bone marrow

Misaka,

Hashimoto,

Ashikaga

et al. 2024

Medicine

View full text Add to dashboard Cite

We aimed to investigate the accuracy of proton density fat fraction (PDFF) measurement of the lumbar vertebral bone marrow using chemical shift-encoded magnetic resonance imaging (CSE-MRI) with compressed sensing combined with parallel imaging (CSPI). This study recruited a commercially available phantom, and 43 patients. Fully sampled data without CSPI and under-sampled data with CSPI acceleration factors of 2.4, 3.6, and 4.8 were acquired using a 1.5T imaging system. The relationships between PDFF measurements obtained with the no-CSPI acquisition and those obtained with each CSPI acquisition were assessed using Pearson correlation coefficient (r), linear regression analyses, and Bland–Altman analysis. The intra- and inter-observer variabilities of the PDFF measurements were evaluated using the intraclass correlation coefficient. PDFF measurements obtained with all acquisitions showed a significant correlation and strong agreement with the reference PDFF measurement of the phantom. PDFF measurements obtained using CSE-MRI with and without CSPI were positively correlated (all acquisitions: r = 0.99; P < .001). The mean bias was −0.31% to −0.17% with 95% limits of agreement within ±2.02%. The intra- and inter-observer agreements were excellent (intraclass correlation coefficient: 0.988 and 0.981, respectively). A strong agreement and positive correlation were observed between the PDFF measurements obtained using CSE-MRI with and without CSPI. PDFF measurement of the lumbar vertebral bone marrow using CSE-MRI with CSPI can be acquired with a maximum reduction of approximately 75% in the acquisition time compared with a fully sampled acquisition.

show abstract

Section: Discussionmentioning

confidence: 99%

Chemical shift-encoded MRI with compressed sensing combined with parallel imaging for proton density fat fraction measurement of the lumbar vertebral bone marrow

Misaka,

Hashimoto,

Ashikaga

et al. 2024

Medicine

View full text Add to dashboard Cite

show abstract

“…Nevertheless, the diagnostic value of R2* in bone marrow lesions remains controversial. Liu et al investigated the quantitative MRI assessment of 83 patients with low back pain—results showed that R2* had a lower AUC than FF in diagnosing the progression of osteoporosis and osteopenia, making it difficult to use it as an independent diagnostic indicator for osteoporosis 38 . Leonhardt et al showed average change of FF was significantly higher in patients developing incidental fractures than those without fractures, while T2* showed no significant changes 39 .…”

Section: Discussionmentioning

confidence: 99%

Quantitative Analysis of Whole‐Body MRI for Accessing the Degree of Diffuse Infiltration Patterns and Identifying High Risk Cases of Newly Diagnosed Multiple Myeloma

Sun,

Wang,

Wang

et al. 2023

Magnetic Resonance Imaging

View full text Add to dashboard Cite

BackgroundAccurate identification of high‐risk multiple myeloma (HRMM) is important for prognostication. The degree of diffuse infiltration patterns on magnetic resonance imaging (MRI) is associated with patient prognosis in multiple myeloma. However, objective indexes to determine the degree of diffuse infiltration patterns are unavailable.PurposeTo investigate whether qualitative and quantitative evaluations of diffuse infiltration patterns on MRI could identify HRMM.Study TypeRetrospective.SubjectsTotally, 180 patients (79 HRMM and 101 standard‐risk MM) were assessed. The presence of del(17p), t(4;14), t(14;16), t(14;20), gain 1q, and/or p53 mutations was considered to indicate HRMM.Field Strength/Sequence3.0 T/diffusion‐weighted whole‐body imaging with background body signal suppression (DWIBS), modified Dixon chemical‐shift imaging Quant (mDIXON Quant), and short TI inversion recovery (STIR).AssessmentQualitative analysis involved assessing the degree of diffuse marrow infiltration (mild, moderate, or severe), and quantitative analysis involved evaluating apparent diffusion coefficient (ADC), fat fraction (FF), and T2* values. Clinical data such as sex, age, hemoglobin, serum albumin, serum calcium, serum creatinine, serum lactate dehydrogenase, β2‐microglobulin, and bone marrow plasma cells (BMPCs) were also included.Statistical TestsUnivariate and multivariate analyses, receiver operating characteristic (ROC) curve. P < 0.05 was considered statistically significant.ResultsThe high‐risk group had significantly higher ADC and T2* and lower FF compared with the standard‐risk group. Multivariate analysis indicated BMPCs as a significant independent risk factor for HRMM (odds ratio (OR) = 1.019, 95% CI 1.004–1.033), while FF was a significant independent protective factor associated with HRMM (OR = 0.972, 95% CI 0.946–0.999). The combination of BMPCs and FF achieved the highest areas under the curve (AUC) of 0.732, with sensitivity and specificity of 70.9% and 68.3%, respectively.Data ConclusionCompared with qualitative analysis, FF value was independently associated with HRMM. The quantitative features of diffuse marrow infiltration on MRI scans are more effective in detecting HRMM.Level of Evidence3Technical EfficacyStage 2

show abstract

Association of proton-density fat fraction with osteoporosis: a systematic review and meta-analysis

Yuan,

Liu,

Luo

et al. 2024

Osteoporos Int

View full text Add to dashboard Cite

Adding liver R2* quantification to proton density fat fraction MRI of vertebral bone marrow improves the prediction of osteoporosis

Cited by 4 publications

References 52 publications

Chemical shift-encoded MRI with compressed sensing combined with parallel imaging for proton density fat fraction measurement of the lumbar vertebral bone marrow

Chemical shift-encoded MRI with compressed sensing combined with parallel imaging for proton density fat fraction measurement of the lumbar vertebral bone marrow

Quantitative Analysis of Whole‐Body MRI for Accessing the Degree of Diffuse Infiltration Patterns and Identifying High Risk Cases of Newly Diagnosed Multiple Myeloma

Association of proton-density fat fraction with osteoporosis: a systematic review and meta-analysis

Contact Info

Product

Resources

About