Usefulness of Sweep Imaging With Fourier Transform for Evaluation of Cortical Bone in Diabetic Rats

Minami, Masataka; Ikoma, Kazuya; Horii, Motoyuki; Sukenari, Tsuyoshi; Onishi, Okihiro; Fujiwara, Hiroyoshi; Ogi, Hiroshi; Itoh, Kyoko; Kubo, Toshikazu

doi:10.1002/jmri.25955

Cited by 12 publications

(8 citation statements)

References 26 publications

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“…The specimens were all placed with the same orientation to ensure an identical ip angle (FA). SWIFT was performed using the following protocol: eld of view (FOV) of 40 × 240 × 40 mm 3 ; matrix of 256 × 256 × 256; 16 spirals; 8192 views; average of 1; resolution of 0.156 × 0.938 × 0.156 mm 3 ; bandwidth of 62 5 kHz; repetition time (TR) of 12.5 ms; FA of 25°; acquisition time of 4.096 ms; and scan time of 27 min 25 s. The proton densityweighted image (PDWI) was obtained according to the following protocol using a conventional fast spin echo method: FOV of 40 × 40 mm 2 ; matrix of 256 × 256; average of 1; resolution of 0.156 × 0.156 mm 2 ; axial slice of 30; slice thickness of 1 mm; bandwidth of 100 kHz; TR of 2000 ms; echo spacing (ESP) of 9.54 ms; echo train length of 4; acquisition time of 2.56 ms; and scan time of 2 min 13 s. These protocols were similar to those described in previous reports [10,11]. The images were analyzed using a software program (ImageJ v. 1.49, National Institutes of Health, Bethesda, MD).…”

Section: Mrimentioning

confidence: 78%

“…Sweep imaging with Fourier transform (SWIFT) is a novel imaging method in magnetic resonance imaging (MRI) that can depict proton signals with very short T 2 relaxation times that cannot be measured by conventional MRI [9]. It has been reported that SWIFT can detect proton signals associated with bone turnover in the cortical bone of postmenopausal osteoporotic and diabetic osteoporotic rats [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Sweep Imaging with Fourier Transform as a Tool for Evaluating the Effect of Teriparatide on Cortical Bone Turnover in an Ovariectomized Rat Model

Sotozono

Ikoma

Kido

et al. 2021

Preprint

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Background: Teriparatide (TPTD) is a drug for osteoporosis that promotes bone formation and improves bone turnover. However, the specific effects of TPTD on cortical bone are not well understood. Sweep imaging with Fourier transform (SWIFT) has been reported as a useful tool for evaluating cortical bone, but it has yet to be used to investigate the effects of TPTD on cortical bone. This study aimed to evaluate the effects of TPTD on cortical bone turnover using SWIFT in rats. Methods: Twelve-week-old female Sprague-Dawley rats (n=36) were reared for 12 weeks after ovariectomy to create a postmenopausal osteoporosis model. They were divided into two groups: the TPTD and non-TPTD groups. Rats were euthanized at 4, 12, and 24 weeks after initiating TPTD treatment. Tibial bones were extracted and evaluated using magnetic resonance imaging (MRI) and bone histomorphometry. In MRI, proton density-weighted imaging (PDWI) and SWIFT imaging were performed. The signal-to-noise ratio (SNR) was calculated for each method. The same area evaluated by MRI was then used to calculate for the bone formation rate by bone histomorphometry . Measurements were compared using the Mann-Whitney U-test, and a P-value of <0.05 was considered significant. Results: PDWI-SNR was not significantly different between the two groups at any time point (P = 0.589, 0.394, and 0.394 at 4, 12, and 24 weeks, respectively). Contrarily, SWIFT-SNR was significantly higher in the TPTD group than in the non-TPTD group at 4 weeks after initiating treatment, but it was not significantly different at 12 and 24 weeks (P = 0.009, 0.937, and 0.818 at 4, 12, and 24 weeks, respectively). The bone formation rate was significantly higher in the TPTD group than in the non-TPTD group at all timepoints (P < 0.05, all weeks). In particular, at 4 weeks, the bone formation rate was markedly higher in the TPTD group than in the non-TPTD group (1.98±0.33 vs. 0.09±0.05 μm3/μm2/day).Conclusions: The marked increase of the bone formation rate in the cortical bone by TPTD could be measured using SWIFT. SWIFT could be an effective tool for evaluating the effects of TPTD on cortical bone turnover as images.

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Section: Mrimentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Sweep Imaging with Fourier Transform as a Tool for Evaluating the Effect of Teriparatide on Cortical Bone Turnover in an Ovariectomized Rat Model

Sotozono

Ikoma

Kido

et al. 2021

Preprint

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“…The bone metabolism of patients with osteoporosis is abnormal, and their bone loss is aggravated, thus leading to decreased bone strength and increasing their risk of fractures. If patients with T2DM develop osteoporosis, then their risk of disability is increased, thereby adversely affecting their prognosis[ 9 ].…”

Section: Discussionmentioning

confidence: 99%

Significance of serum glucagon-like peptide-1 and matrix Gla protein levels in patients with diabetes and osteoporosis

Xie¹,

Zhang²,

Hu³

et al. 2022

WJCC

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BACKGROUND Osteoporosis is a systemic bone disease characterized by decreased bone mass, impaired bone mass, and reduced bone strength that leads to increased bone fragility and fracture. Type 2 diabetes mellitus (T2DM) complicated with osteoporosis is a common systemic metabolic bone disease, and reduced bone mass and bone strength are considered the main clinical features; however, the pathogenesis of this disease has not been fully clarified. Its occurrence is considered related to sex, age, and genetic factors. There are many risk factors for diabetes complicated with osteoporosis. Therefore, exploring these risk factors will help prevent it. AIM To investigate the relationships among serum glucagon-like peptide-1 (GLP-1) levels, matrix Gla protein (MGP) levels, and diabetes with osteoporosis. METHODS Sixty patients with T2DM complicated with osteoporosis confirmed by the endocrinology department of our hospital were selected as the case group. Sixty T2DM patients with bone loss were selected as the control group. Sixty healthy participants were selected as the healthy group. The general data, bone mineral density index, and bone metabolic markers of the three groups were compared. The relationships among GLP-1 levels, MGP levels, and the bone mineral density index of the case group were analyzed using linear correlation analysis and a logistic regression model. RESULTS Differences in sex, smoking, and drinking among the case group, control group, and healthy group were not statistically significant ( P > 0.05). The mean age of the case group was older than those of the control and healthy groups ( P < 0.05). The body mass index, fasting plasma glucose level, HbA1c level, hypertension rate, and coronary heart disease rate of the case and control groups were higher than those of the healthy group ( P < 0.05). The serum GLP-1 and MGP levels of the case group were lower than those of the control and healthy groups; these differences were statistically significant ( P < 0.05). The serum GLP-1 and MGP levels of the control group were lower than those of the healthy group; these differences were statistically significant ( P < 0.05). The serum GLP-1 and MGP levels of the case group were significantly positively correlated with the bone mineral density values of the hip and lumbar spine ( P < 0.05). The results of the logistic regression model showed that age and duration of diabetes were independent risk factors for osteoporosis in diabetic patients ( P < 0.05) and that increased GLP-1 and MGP values were protective factors against osteoporosis in diabetic patients ( P < 0.05). CONCLUSION Serum GLP-1 and MGP levels of diabetic patients with osteoporosis were significantly ...

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“…SWIFT MRI (using a TE ~ 0) could detect changes between diabetic and control male Wistar/ST rats two weeks following streptozotocin (STZ) injections to induce T1D, where changes in BMD were not detectable until week eight ( Minami et al, 2018 ). At two weeks post STZ, mechanical properties including stiffness and energy absorption were significantly compromised and bone formation measured via histomorphometry was suppressed.…”

Section: Bone Water With Age and Diseasementioning

confidence: 99%

Bone hydration: How we can evaluate it, what can it tell us, and is it an effective therapeutic target?

2022

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Water constitutes roughly a quarter of the cortical bone by volume yet can greatly influence mechanical properties and tissue quality. There is a growing appreciation for how water can dynamically change due to age, disease, and treatment. A key emerging area related to bone mechanical and tissue properties lies in differentiating the role of water in its four different compartments, including free/pore water, water loosely bound at the collagen/mineral interfaces, water tightly bound within collagen triple helices, and structural water within the mineral. This review summarizes our current knowledge of bone water across the four functional compartments and discusses how alterations in each compartment relate to mechanical changes. It provides an overview on the advent of- and improvements to- imaging and spectroscopic techniques able to probe nano-and molecular scales of bone water. These technical advances have led to an emerging understanding of how bone water changes in various conditions, of which aging, chronic kidney disease, diabetes, osteoporosis, and osteogenesis imperfecta are reviewed. Finally, it summarizes work focused on therapeutically targeting water to improve mechanical properties.

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Usefulness of Sweep Imaging With Fourier Transform for Evaluation of Cortical Bone in Diabetic Rats

Abstract: 1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2018;48:389-397.

Cited by 12 publications

References 26 publications

Sweep Imaging with Fourier Transform as a Tool for Evaluating the Effect of Teriparatide on Cortical Bone Turnover in an Ovariectomized Rat Model

Sweep Imaging with Fourier Transform as a Tool for Evaluating the Effect of Teriparatide on Cortical Bone Turnover in an Ovariectomized Rat Model

Significance of serum glucagon-like peptide-1 and matrix Gla protein levels in patients with diabetes and osteoporosis

Bone hydration: How we can evaluate it, what can it tell us, and is it an effective therapeutic target?

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