Relationship Between Femoral Proximal Bone Quality Assessment by MRI IDEAL-IQ Sequence and Body Mass Index in Elderly Men

Overview

Journal Tomography

Publisher MDPI

Specialty Radiology

Date 2024 May 24

PMID 38787022

Authors

Kashia Goto

Daisuke Watanabe

Norikazu Kawae

Takahiro Nakamura

Kazuki Yanagida

Takahiro Yoshida

Hajime Kajihara

Akio Mizushima

Affiliations

Soon will be listed here.

Abstract

Background: Bone assessment using the MRI DEAL-IQ sequence may have the potential to serve as a substitute for evaluating bone strength by quantifying the bone marrow hematopoietic region (R2*) and marrow adiposity (proton density fat fraction: PDFF). Higher body mass index (BMI) is associated with increased bone mineral density (BMD) in the proximal femur; however, the relationship between BMI and R2* or PDFF remains unclear. Herein, we investigated the correlation between BMI and MRI IDEAL-IQ based R2* or PDFF of the proximal femur.

Methods: A retrospective single-cohort study was conducted on 217 patients diagnosed with non-metastatic prostate cancer between September 2019 and December 2022 who underwent MRI. The correlation between BMI and R2* or PDFF of the proximal femur was analyzed using Spearman's rank correlation test.

Results: Among 217 patients (median age, 74 years; median BMI, 23.8 kg/m), there was a significant positive correlation between BMI and R2* at the right and left proximal femur (r = 0.2686, < 0.0001; r = 0.2755, < 0.0001, respectively). Furthermore, BMI and PDFF showed a significant negative correlation (r = -0.239, = 0.0004; r = -0.2212, = 0.001, respectively).

Conclusion: In elderly men, the increased loading on the proximal femur due to elevated BMI was observed to promote a decrease in bone marrow adiposity in the proximal femur, causing a tendency for a transition from fatty marrow to red marrow with hematopoietic activity. These results indicate that the MRI IDEAL-IQ sequence may be valuable for assessing bone quality deterioration in the proximal femur.

References

Johnell O, Kanis J . An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int. 2006; 17(12):1726-33. DOI: 10.1007/s00198-006-0172-4. View

Pakzad R, Mohammadian-Hafshejani A, Ghoncheh M, Pakzad I, Salehiniya H . The incidence and mortality of prostate cancer and its relationship with development in Asia. Prostate Int. 2016; 3(4):135-40. PMC: 4685206. DOI: 10.1016/j.prnil.2015.09.001. View

Handschin C, Spiegelman B . The role of exercise and PGC1alpha in inflammation and chronic disease. Nature. 2008; 454(7203):463-9. PMC: 2587487. DOI: 10.1038/nature07206. View

Gupta N, Wish J . Hypoxia-Inducible Factor Prolyl Hydroxylase Inhibitors: A Potential New Treatment for Anemia in Patients With CKD. Am J Kidney Dis. 2017; 69(6):815-826. DOI: 10.1053/j.ajkd.2016.12.011. View

Hernando D, Hines C, Yu H, Reeder S . Addressing phase errors in fat-water imaging using a mixed magnitude/complex fitting method. Magn Reson Med. 2011; 67(3):638-44. PMC: 3525711. DOI: 10.1002/mrm.23044. View

Tanvetyanon T . Physician practices of bone density testing and drug prescribing to prevent or treat osteoporosis during androgen deprivation therapy. Cancer. 2004; 103(2):237-41. DOI: 10.1002/cncr.20766. View

Bao X, Zhang J, Huang G, Yan J, Xu C, Dou Z . The crosstalk between HIFs and mitochondrial dysfunctions in cancer development. Cell Death Dis. 2021; 12(2):215. PMC: 7910460. DOI: 10.1038/s41419-021-03505-1. View

Alibhai S, Yun L, Cheung A, Paszat L . Screening for osteoporosis in men receiving androgen deprivation therapy. JAMA. 2012; 307(3):255-6. DOI: 10.1001/jama.2011.2022. View

Portales-Castillo I, Simic P . PTH, FGF-23, Klotho and Vitamin D as regulators of calcium and phosphorus: Genetics, epigenetics and beyond. Front Endocrinol (Lausanne). 2022; 13:992666. PMC: 9558279. DOI: 10.3389/fendo.2022.992666. View

10.

Haase V . HIF-prolyl hydroxylases as therapeutic targets in erythropoiesis and iron metabolism. Hemodial Int. 2017; 21 Suppl 1:S110-S124. PMC: 5526677. DOI: 10.1111/hdi.12567. View

11.

Gilsanz V, Chalfant J, Mo A, Lee D, Dorey F, Mittelman S . Reciprocal relations of subcutaneous and visceral fat to bone structure and strength. J Clin Endocrinol Metab. 2009; 94(9):3387-93. PMC: 2741723. DOI: 10.1210/jc.2008-2422. View

12.

Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2014; 136(5):E359-86. DOI: 10.1002/ijc.29210. View

13.

Bliuc D, Nguyen N, Milch V, Nguyen T, Eisman J, Center J . Mortality risk associated with low-trauma osteoporotic fracture and subsequent fracture in men and women. JAMA. 2009; 301(5):513-21. DOI: 10.1001/jama.2009.50. View

14.

Griffith J, Yeung D, Antonio G, Lee F, Hong A, Wong S . Vertebral bone mineral density, marrow perfusion, and fat content in healthy men and men with osteoporosis: dynamic contrast-enhanced MR imaging and MR spectroscopy. Radiology. 2005; 236(3):945-51. DOI: 10.1148/radiol.2363041425. View

15.

Zhang Q, Doucet M, Tomlinson R, Han X, Quarles L, Collins M . The hypoxia-inducible factor-1α activates ectopic production of fibroblast growth factor 23 in tumor-induced osteomalacia. Bone Res. 2016; 4:16011. PMC: 4948305. DOI: 10.1038/boneres.2016.11. View

16.

Yu B, Huo L, Liu Y, Deng P, Szymanski J, Li J . PGC-1α Controls Skeletal Stem Cell Fate and Bone-Fat Balance in Osteoporosis and Skeletal Aging by Inducing TAZ. Cell Stem Cell. 2018; 23(4):615-623. PMC: 6613582. DOI: 10.1016/j.stem.2018.09.001. View

17.

Patsch J, Li X, Baum T, Yap S, Karampinos D, Schwartz A . Bone marrow fat composition as a novel imaging biomarker in postmenopausal women with prevalent fragility fractures. J Bone Miner Res. 2013; 28(8):1721-8. PMC: 3720702. DOI: 10.1002/jbmr.1950. View

18.

Watanabe D, Kimura T, Yanagida K, Yoshida T, Kawae N, Nakamura T . Feasibility of assessing male osteoporosis using MRI IDEAL-IQ sequence of proximal femur in prostate cancer patients. Aging Male. 2022; 25(1):228-233. DOI: 10.1080/13685538.2022.2112663. View

19.

Nuttall M, Gimble J . Controlling the balance between osteoblastogenesis and adipogenesis and the consequent therapeutic implications. Curr Opin Pharmacol. 2004; 4(3):290-4. DOI: 10.1016/j.coph.2004.03.002. View

20.

Yuan P, Yang T, Mu J, Zhao J, Yang Y, Yan Z . Circadian clock gene NPAS2 promotes reprogramming of glucose metabolism in hepatocellular carcinoma cells. Cancer Lett. 2019; 469:498-509. DOI: 10.1016/j.canlet.2019.11.024. View