Evidence map›Paper›PMID 38902641›Full record

ArticleBMC medical imaging2024

IDEAL-IQ combined with intravoxel incoherent motion diffusion-weighted imaging for quantitative diagnosis of osteoporosis.

Zhe Yang, Chenglong Liu, Zhaojuan Shi, Jian Qin

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Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhe YangDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China.
Chenglong LiuDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China.
Zhaojuan ShiDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China.
Jian QinDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China. sdqinjian@126.com.

Funding

Shandong medical and health science technology development program No. 202209010762Tai'an City Science and Technology Development Plan No. 2020NS122the Academic promotion programme of Shandong First Medical University No.2019QL017
6 · The paper itself

Abstract

backgroundOsteoporosis (OP) is a common chronic metabolic bone disease characterized by decreased bone mineral content and microstructural damage, leading to increased fracture risk. Traditional methods for measuring bone density have limitations in accurately distinguishing vertebral bodies and are influenced by vertebral degeneration and surrounding tissues. Therefore, novel methods are needed to quantitatively assess changes in bone density and improve the accurate diagnosis of OP.

methodsThis study aimed to explore the applicative value of the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron (IDEAL-IQ) sequence combined with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the diagnosis of osteoporosis. Data from 135 patients undergoing dual-energy X-ray absorptiometry (DXA), IDEAL-IQ, and IVIM-DWI were prospectively collected and analyzed. Various parameters obtained from IVIM-DWI and IDEAL-IQ sequences were compared, and their diagnostic efficacy was evaluated.

resultsStatistically significant differences were observed among the three groups for FF, R2*, f, D, DDC values, and BMD values. FF and f values exhibited negative correlations with BMD values, with r=-0.313 and - 0.274, respectively, while R2*, D, and DDC values showed positive correlations with BMD values, with r = 0.327, 0.532, and 0.390, respectively. Among these parameters, D demonstrated the highest diagnostic efficacy for osteoporosis (AUC = 0.826), followed by FF (AUC = 0.713). D* exhibited the lowest diagnostic performance for distinguishing the osteoporosis group from the other two groups. Only D showed a significant difference between genders. The AUCs for IDEAL-IQ, IVIM-DWI, and their combination were 0.74, 0.89, and 0.90, respectively.

conclusionsIDEAL-IQ combined with IVIM-DWI provides valuable information for the diagnosis of osteoporosis and offers evidence for clinical decisions. The superior diagnostic performance of IVIM-DWI, particularly the D value, suggests its potential as a more sensitive and accurate method for diagnosing osteoporosis compared to IDEAL-IQ. These findings underscore the importance of integrating advanced imaging techniques into clinical practice for improved osteoporosis management and highlight the need for further research to explore the full clinical implications of these imaging modalities.

Indexed as

Absorptiometry, PhotonBone DensityDiffusion Magnetic Resonance ImagingOsteoporosisAdultAgedAged, 80 and overFemaleHumansLeast-Squares AnalysisMaleMiddle AgedProspective StudiesBone mineral densityIDEAL-IQIVIM-DWIOsteoporosis

Identifiers

PMID38902641
PMCPMC11188172

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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.