<i>In Vivo</i>Assessment of Neurodegeneration in Type C Niemann-Pick Disease by IDEAL-IQ

Guo, Ruomi; Li, Qing Ling; Luo, Zhong; Tang, Wen; Jiao, Ju; Wang, Jin; Kang, Zhuang; Chen, Shao Qiong; Zhang, Yong

doi:10.3348/kjr.2018.19.1.93

Cited by 8 publications

(3 citation statements)

References 19 publications

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“…MRI is currently the best method for fat quantification, including proton magnetic resonance spectroscopy (1H-MRS), water fat imaging, such as iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ). As a mature technology, it is widely used in studies on fat quantification of soft tissue, bone, and tumor [ 10 – 12 ].…”

Section: Introductionmentioning

confidence: 99%

Accuracy and applicability of dual-energy computed tomography in quantifying vertebral bone marrow adipose tissue compared with magnetic resonance imaging

et al. 2022

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Objectives To evaluate the accuracy of dual-energy computed tomography (DECT) in quantifying bone marrow adipose tissue (BMAT) and its applicability in the study of osteoporosis (OP). Methods A total of 83 patients with low back pain (59.77 ± 7.46 years, 30 males) were enrolled. All patients underwent lumbar DECT and magnetic resonance imaging (MRI) scanning within 48 h, and the vertebral fat fraction (FF) was quantitatively measured, recorded as DECT-FF and MRI-FF. A standard quantitative computed tomography (QCT) phantom was positioned under the waist during DECT procedure to realize the quantization of bone mineral density (BMD). The intraclass correlation coefficient (ICC) and Bland–Altman method was used to evaluate the agreement between DECT-FF and MRI-FF. The Pearson test was used to study the correlation between DECT-FF, MRI-FF, and BMD. With BMD as a gold standard, the diagnostic efficacy of DECT-FF and MRI-FF in different OP degrees was compared by receiver operating characteristic (ROC) curve and DeLong test. Results The values of DECT-FF and MRI-FF agreed well (ICC = 0.918). DECT-FF and MRI-FF correlated with BMD, with r values of −0.660 and −0.669, respectively (p < 0.05). In the diagnosis of OP and osteopenia, the areas under curve (AUC) of DECT-FF was, respectively, 0.791 and 0.710, and that of MRI-FF was 0.807 and 0.708, and there was no significant difference between AUCs of two FF values (with Z values of 0.503 and 0.066, all p > 0.05). Conclusion DECT can accurately quantify the BMAT of vertebrae and has the same applicability as MRI in the study of OP.

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Section: Introductionmentioning

confidence: 99%

Accuracy and applicability of dual-energy computed tomography in quantifying vertebral bone marrow adipose tissue compared with magnetic resonance imaging

et al. 2022

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“… 6 Currently, IDEAL-iron quantification (IDEAL-IQ) method is increasingly used in the research field of lipid metabolism. 7 , 8 However, to the best of our knowledge, no reports have documented the relationship between the peritumoral fat proportion obtained by IDEAL-IQ and biologic behavior of breast carcinoma in human. The purpose of this study was to correlate the peritumoral fat content obtained by IDEAL-IQ with established histologic prognostic factors in breast carcinoma.…”

Section: Introductionmentioning

confidence: 99%

Peritumoral Fat Content Correlates with Histological Prognostic Factors in Breast Carcinoma: A Study Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-Squares Estimation (IDEAL)

et al. 2021

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Purpose: To correlate peritumoral fat content using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) with histologic prognostic factors in breast carcinoma. Materials and Methods:This study consisted of 100 patients who were diagnosed with invasive carcinoma of breast and underwent breast MRI including IDEAL before surgery. The scan time of IDEAL fat fraction (FF) map imaging was 33 s. Four regions of interests (ROIs), which are a distance of 5 mm from the tumor edge, and one ROI in the mammary fat of the healthy side were set on the FF map. Then average peritumoral FF values (FFt), average FF values in the healthy side (FFh), and peritumoral fat ratio (pTFR: defined as FFt/FFh) were calculated. Histologically, the presence of lymph node metastasis and the MIB-1 index were evaluated.Results: FFt and pTFR for breast carcinoma with lymph node metastasis (79.27 ± 10.36 and 0.897 ± 0.078) were significantly lower than those without (86.23 ± 4.53 and 0.945 ± 0.032) (P < 0.001 and P = 0.005). Spearman rank correlation suggested that the FFt correlated with the MIB-1 index (r = −340, P = 0.001). Conclusion:Quantification of peritumoral fat using IDEAL-iron quantification is associated with the histologic prognostic factors, and may be a practical tool for therapeutic strategy of breast carcinoma.

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“…Moreover, studies have shown that conventional MRI and magnetic resonance spectroscopy (MRS) can be used to analyze EAT, but these studies have not performed a precise quantitative analysis of liver, myocardium, paraapical fat or their correlations [21,22] . A new MRI technology, i.e., iterative decomposition of water and fat with echo asymmetry and least square estimation-iron quanti cation (IDEAL-IQ), enables the precise quantitative measurement of organ fat content with a fat fraction (FF) map [23][24][25] . This is the rst study to use the IDEAL-IQ technology to quantitatively measure liver, myocardium, and para-apical fat in obese patients and T2DM patients with varying degrees of liver fat deposition and to explore the differences in fat content and their correlations.…”

Section: Introductionmentioning

confidence: 99%

Quantification of liver fat deposition in obese patients and diabetic patients: a pilot study on the correlation with myocardium and para-apical fat content

Chen

Wen

et al. 2021

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Background Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, and the mortality of NAFLD-related heart diseases is higher than that of NAFLD-related liver diseases. We aimed to quantitatively measure liver, myocardium, and para-apical fat in obese patients and type 2 diabetes mellitus (T2DM) patients with varying degrees of liver fat deposition using IDEAL-IQ technology and to explore the differences in fat content and their correlations. Materials and Methods This study retrospectively analyzed the data of 170 patients, including 85 obese patients (50 males, 35 females; average age, 43.5 years) and 85 T2DM patients (45 males, 40 females; average age, 45.5 years). All patients underwent axial T1WI, T2WI, and IDEAL-IQ, the FF map of the right liver lobe, the interventricular septum, the left ventricle, and para-apical fat was used for the quantitative measurement of fat content. Results For obese patients, the myocardial fat content was significantly higher in the severe fatty liver group than other liver groups (left ventricle, 3.65% ± 0.80%; interventricular septum, 3.46% ± 0.84%). For T2DM patients, the fat contents of different para-apical fat were positively correlated with fatty liver severity (p < 0.05) and were higher in T2DM patients with fatty liver than in obese patients with fatty liver. For both obese patients and T2DM patients, para-apical fat was only significantly different between the normal liver group (obese patients, 89.10±3.73%; T2DM patients, 89.14±3.80%) and the mild fatty liver group (obese patients, 92.64±2.43%; T2DM patients, 92.42±2.70%) (p < 0.01) and was unrelated to fatty liver severity (p > 0.05). Conclusion The results showed myocardial fat content increased with liver fat content, T2DM patients were more likely to have myocardial fat deposition than obese patients, and the fat content trends were consistent in para-apical fat in patients with varying degrees of fatty liver. This study provides an accurate and non-invasive method for the diagnosis and treatment of NAFLD-related heart diseases in obese patients and T2DM patients.

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In VivoAssessment of Neurodegeneration in Type C Niemann-Pick Disease by IDEAL-IQ

Cited by 8 publications

References 19 publications

Accuracy and applicability of dual-energy computed tomography in quantifying vertebral bone marrow adipose tissue compared with magnetic resonance imaging

Accuracy and applicability of dual-energy computed tomography in quantifying vertebral bone marrow adipose tissue compared with magnetic resonance imaging

Peritumoral Fat Content Correlates with Histological Prognostic Factors in Breast Carcinoma: A Study Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-Squares Estimation (IDEAL)

Quantification of liver fat deposition in obese patients and diabetic patients: a pilot study on the correlation with myocardium and para-apical fat content

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