Correlation of R2* with fat fraction and bone mineral density and its role in quantitative assessment of osteoporosis

Liu, Zhenghua; Huang, Dageng; Jiang, Yu; Ma, Xiaowen; Zhang, Yuting; Chang, Rong

doi:10.1007/s00330-023-09599-9

Cited by 10 publications

(3 citation statements)

References 26 publications

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“…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 In this study population, T2* was not independently associated with HRMM.…”

Section: Discussionmentioning

confidence: 95%

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

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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

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Section: Discussionmentioning

confidence: 95%

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

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“…Notably, level-specific vertebrae not only differ in the related incidence of VFs but also present disparities in intrinsic characteristics, such as BMD and fat fraction [18,32,33]. These intrinsic characteristics have been established to be associated with osteoporotic fractures and can assist with the identification of such fractures [34,35].…”

Section: Discussionmentioning

confidence: 99%

Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram

Jiang,

Zhang,

Huang

et al. 2023

Diagnostics

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The occurrence of new vertebral fractures (NVFs) after vertebral augmentation (VA) procedures is common in patients with osteoporotic vertebral compression fractures (OVCFs), leading to painful experiences and financial burdens. We aim to develop a radiomics nomogram for the preoperative prediction of NVFs after VA. Data from center 1 (training set: n = 153; internal validation set: n = 66) and center 2 (external validation set: n = 44) were retrospectively collected. Radiomics features were extracted from MRI images and radiomics scores (radscores) were constructed for each level-specific vertebra based on least absolute shrinkage and selection operator (LASSO). The radiomics nomogram, integrating radiomics signature with presence of intravertebral cleft and number of previous vertebral fractures, was developed by multivariable logistic regression analysis. The predictive performance of the vertebrae was level-specific based on radscores and was generally superior to clinical variables. RadscoreL2 had the optimal discrimination (AUC ≥ 0.751). The nomogram provided good predictive performance (AUC ≥ 0.834), favorable calibration, and large clinical net benefits in each set. It was used successfully to categorize patients into high- or low-risk subgroups. As a noninvasive preoperative prediction tool, the MRI-based radiomics nomogram holds great promise for individualized prediction of NVFs following VA.

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“…Li et al [ 36 ] found a moderately positive correlation between R2* and BMD in postmenopausal women, with the area under the curve (AUC) of 0.821, 0.784 and 0.922 for FF, R2* and FF combined with R2* for the diagnosis of osteoporosis. Liu et al [ 37 ] found that R2 * value was weakly associated with FF and BMD ( r = -0.219, 0.290, P < 0.05), and the diagnostic efficacy of R2 * in diagnosing osteoporosis was relatively poor. Kim et al [ 38 ] selected L4 vertebra to measure FF and R2* value and found that R2* correlated more significantly with BMD in women than in men, with higher AUCs for FF in men and R2* in women when predicting osteopenia and osteoporosis.The different results of different studies may be due to a variety of reasons including variability in the included participants, inconsistency in the range of vertebrae studied, and differences in the scanning protocols.…”

Section: Discussionmentioning

confidence: 99%

Quantitative analysis of vertebral fat fraction and R2* in osteoporosis using IDEAL-IQ sequence

Zhou,

Sheng,

2023

BMC Musculoskelet Disord

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Objective To investigate the correlation between FF, R2* value of IDEAL-IQ sequence and bone mineral density, and to explore their application value in the osteoporosis. Methods We recruited 105 women and 69 men aged over 30 years who voluntarily underwent DXA and MRI examination of lumbar spine at the same day. Participants were divided into normal, osteopenia and osteoporosis group based on T-score and BMD value of DXA examination. One-way ANOVA was adopted to compare the quantitative parameters among the three groups. Independent samples t-test was utilized to compare FF and R2* value between men and women.Pearson correlation analysis was used to research the correlation between FF, R2* value and BMD. Results Age, height, weight, BMD and FF value were significantly different among three groups (p < 0.05). No significant difference was found in FF value between male and female group, while R2* value were significantly different. Vertebral FF was moderately negatively correlated with aBMD, especially in women (r = -0.638, p < 0.001). R2* was mildly to moderately positively correlated with aBMD in men (r = 0.350, p = 0.003), but not in women. Moreover, FF was positively correlated with age, R2* was negatively correlated with age in men, and BMD was negatively correlated with age. Conclusions The vertebral FF value of IDEAL-IQ sequence has the potential to be a new biological marker for the assessment of osteoporosis. Vertebral FF is moderately negatively correlated with aBMD, especially in women, allowing accuratly quantify the bone marrow fat. R2* value is mildly to moderately correlated with BMD in men and can be served as a complementary tool in the assessment of osteoporosis.

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Correlation of R2* with fat fraction and bone mineral density and its role in quantitative assessment of osteoporosis

Cited by 10 publications

References 26 publications

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

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

Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram

Quantitative analysis of vertebral fat fraction and R2* in osteoporosis using IDEAL-IQ sequence

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