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      The quantitative parameters derived from IDEAL-IQ in the lumbar vertebrae of healthy children: a pilot study of bone development

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          Abstract

          Background

          Early childhood bone development affects that of bone disease in adolescence and adulthood. Many diseases can affect the cancellous bone or bone marrow. Therefore, it is of great significance to quantify the bone development of healthy children. The evaluation methods of bone development include bone age (BA) assessment and dual-energy X-ray bone mineral densitometry (DXA), both of which have strong subjectivity. The present study was conducted to improve our understanding of the bone development of healthy children using the quantitative parameters derived from iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (IDEAL-IQ) sequence.

          Methods

          Our study enrolled healthy children between January 2022 to December 2022 consecutively in Children’s Hospital of Shanxi. The inclusion criteria were as follows: (I) age ≤18 years; (II) no contraindications (surgical and interventional devices for ferromagnetic materials, cardiac implantable electronic devices, cochlear implants, insulin pumps, dental implants containing metal or alloy) to magnetic resonance imaging (MRI) scan. The exclusion criteria were as follows: (I) previous malignant disease, (II) previous chemoradiotherapy, (III) previous spine surgery, (IV) previous or acute vertebral compression fracture, (V) artifacts present in images. Participants underwent MRI scans using IDEAL-IQ sequence in the lumbar vertebrae. The IDEAL-IQ parameters [proton density fat fraction (PDFF), 1/T2* (R2*)] were obtained. The factor analysis of variance was applied to compare the differences of PDFF and R2* in different lumbar vertebral groups. The Kruskal-Wallis H test or Mann-Whitney U test was applied to compare the differences of quantitative data among different gender or age groups. Spearman correlation analysis was applied to study the relationship among the age, PDFF, and R2*.

          Results

          A total of 145 participants (76 males, 69 females) were evaluated. There were no significant differences in PDFF and R2* of different lumbar vertebrae (P PDFF=0.338, P R2*=0.868). The average age was 36 [13–72] months. They were assigned into 4 groups (0–11, 12–35, 36–71, and 72–144 months). As the age increased, the average PDFF and R2* both increased significantly (r PDFF=0.659, r R2*=0.359, P<0.001). There were significant statistical differences in PDFF and R2* between the 4 age groups (Z PDFF=46.651, Z R2*=27.537, P<0.001). Moreover, the PDFF was also positively correlated with R2* (r=0.576, P<0.001). No association was found between the gender and PDFF, R2* (P PDFF=0.949, P R2*=0.177).

          Conclusions

          The quantitative parameters derived from IDEAL-IQ in the lumbar vertebrae of healthy children will improve our understanding of bone development and provide a basis for further exploring the diseases that affect children’s bone development.

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          Most cited references21

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          Differentiation of Bone Marrow Mesenchymal Stem Cells in Osteoblasts and Adipocytes and its Role in Treatment of Osteoporosis

          Osteoporosis is a systemic metabolic bone disorder characterized by a decrease in bone mass and degradation of the bone microstructure, leaving bones that are fragile and prone to fracture. Most osteoporosis treatments improve symptoms, but to date there is no quick and effective therapy. Bone marrow mesenchymal stem cells (BMMSCs) have pluripotent potential. In adults, BMMSCs differentiate mainly into osteoblasts and adipocytes in the skeleton. However, if this differentiation is unbalanced, it may lead to a decrease in bone mass. If the number of adipocyte cells increases and that of osteoblast cells decreases, osteoporosis can result. A variety of hormones and cytokines play an important role in the regulation of BMMSCs bidirectional differentiation. Therefore, a greater understanding of the regulation mechanism of BMMSC differentiation may provide new methods to prevent and treat osteoporosis. In addition, autologous, allogeneic BMMSCs or genetically modified BMMSC transplantation can effectively increase bone mass and density, increase bone mechanical strength, correct the imbalance in bone metabolism, and increase bone formation, and is expected to provide a new strategy and method for the treatment of osteoporosis.
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            Marrow fat and the bone microenvironment: developmental, functional, and pathological implications.

            Bone marrow adipogenesis is a normal physiologic process in all mammals. However, its function is unknown. The mesenchymal stem cell is the marrow precursor for adipocytes as well as osteoblasts, and PPARG is an essential differentiation factor for entrance into the fat lineage. Mouse models have provided significant insight into the molecular cues that define stromal cell fate. In humans, accelerated marrow adipogenesis has been associated with aging and several chronic conditions, including diabetes mellitus and osteoporosis. Newer imaging techniques have been used to determine the developmental time course of fat generation in bone marrow. However, more studies are needed to understand the interrelationship among hematopoietic, osteoblastic, and adipogenic cells within the marrow niche.
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              Proton-density fat fraction and simultaneous R2* estimation as an MRI tool for assessment of osteoporosis.

              To investigate multi-echo chemical shift-encoded MRI-based mapping of proton density fat fraction (PDFF) and fat-corrected R2* in bone marrow as biomarkers for osteoporosis assessment.
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                Author and article information

                Journal
                Quant Imaging Med Surg
                Quant Imaging Med Surg
                QIMS
                Quantitative Imaging in Medicine and Surgery
                AME Publishing Company
                2223-4292
                2223-4306
                04 December 2023
                03 January 2024
                : 14
                : 1
                : 136-143
                Affiliations
                [1 ]deptDepartment of Magnetic Resonance Imaging , The Affiliated Children’s Hospital of Shanxi Medical University , Taiyuan, China;
                [2 ]deptDepartment of Magnetic Resonance Imaging, Children’s Hospital of Shanxi , Women Health Center of Shanxi , Taiyuan, China;
                [3 ]deptDepartment of Magnetic Resonance Imaging , The Second Hospital of Shanxi Medical University , Taiyuan, China
                Author notes

                Contributions: (I) Conception and design: J Yang, JL Niu, HM Sun; (II) Administrative support: HM Sun; (III) Provision of study materials or patients: J Yang, HM Sun; (IV) Collection and assembly of data: J Yang, H Yang, L Hu; (V) Data analysis and interpretation: J Yang, JL Niu; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Jin-Liang Niu, PhD. Department of Magnetic Resonance Imaging, The Second Hospital of Shanxi Medical University, 382 Wuyi Road, Xinghualing District, Taiyuan 030001, China. Email: sxlscjy@ 123456163.com .
                [^]

                ORCID: Jie Yang, 0000-0002-6372-2655; Hui-Miao Sun, 0000-0003-2522-6607; Hong Yang, 0009-0001-6631-9706; Lei Hu, 0009-0002-5970-3598; Jin-Liang Niu, 0000-0002-4465-5477.

                Article
                qims-14-01-136
                10.21037/qims-23-696
                10784005
                38223122
                3142d9c6-1523-42f5-bbe5-6714fe823516
                2024 Quantitative Imaging in Medicine and Surgery. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 18 May 2023
                : 17 October 2023
                Categories
                Original Article

                proton density fat fraction (pdff),iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (ideal-iq),magnetic resonance imaging (mri),bone,development

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