Yinxia Zhao1,2, Mingqian Huang2, Jie Ding3, Xintao Zhang1, Karl Spuhler3, Shaoyong Hu1, Mianwen Li1, Wei Fan1, Lin Chen1, Xiaodong Zhang1, Shaolin Li1, Quan Zhou1, Chuan Huang2,3,4. 1. Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Orthopaedic Hospital of Guangdong Province), Guangzhou, Guangdong, China. 2. Department of Radiology, Stony Brook Medicine, Stony Brook, New York, USA. 3. Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA. 4. Department of Psychiatry, Stony Brook Medicine, Stony Brook, New York, USA.
Abstract
BACKGROUND: Bone marrow fat increases when bone mass decreases, which could be attributed to the fact that adipogenesis competes with osteogenesis. Bone marrow fat has the potential to predict abnormal bone density and osteoporosis. PURPOSE: To investigate the predictive value of using vertebral bone marrow fat fraction(BMFF) obtained from modified Dixon(mDixon) Quant in the determination of abnormal bone density and osteoporosis. STUDY TYPE: Prospective. POPULATION: 257 subjects (age: 20-79 years old; BMI: 16.6-32.9 kg/m2 ;181 females,76 males) without known spinal tumor, history of trauma, dysplasia, spinal surgery or hormone therapy. FIELD STRENGTH/SEQUENCE: 3.0T/mDixon. ASSESSMENT: BMFF was measured at the L1, L2 and L3 vertebral body on fat fraction maps of the lumbar spine. Bone mineral density (BMD) was obtained using quantitative computed tomography, which served as the reference standard. STATISTICAL TESTS: The BMFF between the three groups (normal bone density, osteopenia and osteoporosis) was tested using one-way analysis of variance in SPSS. The correlation and partial correlation of BMFF and BMD were analyzed before and after controlling for age, sex and BMI. Logistic regression analysis using independent training and validation data was conducted to evaluate the performance of predicting abnormal BMD or osteoporosis using BMFF. RESULTS: There was a significant difference in vertebral BMFF between the three groups (P < 0.001). Moderate inverse correlation was found between vertebral BMFF and BMD after controlling age, sex and BMI (r = -0.529; P < 0.001). The mean area under the curve, sensitivity, specificity and negative predictive value (NPV) for predicting abnormal bone density were 0.940, 0.877, 0.896, and 0.890, respectively. The corresponding results for predicting subjects with osteoporosis were 0.896, 0.848, 0.853, and 0.969, respectively. DATA CONCLUSION: mDixon Quant is a fast, simple, noninvasive and nonionizing method to access vertebral BMFF and has a high predictive power for identifying abnormal bone density and osteoporosis. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:390-399.
BACKGROUND: Bone marrow fat increases when bone mass decreases, which could be attributed to the fact that adipogenesis competes with osteogenesis. Bone marrow fat has the potential to predict abnormal bone density and osteoporosis. PURPOSE: To investigate the predictive value of using vertebral bone marrow fat fraction(BMFF) obtained from modified Dixon(mDixon) Quant in the determination of abnormal bone density and osteoporosis. STUDY TYPE: Prospective. POPULATION: 257 subjects (age: 20-79 years old; BMI: 16.6-32.9 kg/m2 ;181 females,76 males) without known spinal tumor, history of trauma, dysplasia, spinal surgery or hormone therapy. FIELD STRENGTH/SEQUENCE: 3.0T/mDixon. ASSESSMENT: BMFF was measured at the L1, L2 and L3 vertebral body on fat fraction maps of the lumbar spine. Bone mineral density (BMD) was obtained using quantitative computed tomography, which served as the reference standard. STATISTICAL TESTS: The BMFF between the three groups (normal bone density, osteopenia and osteoporosis) was tested using one-way analysis of variance in SPSS. The correlation and partial correlation of BMFF and BMD were analyzed before and after controlling for age, sex and BMI. Logistic regression analysis using independent training and validation data was conducted to evaluate the performance of predicting abnormal BMD or osteoporosis using BMFF. RESULTS: There was a significant difference in vertebral BMFF between the three groups (P < 0.001). Moderate inverse correlation was found between vertebral BMFF and BMD after controlling age, sex and BMI (r = -0.529; P < 0.001). The mean area under the curve, sensitivity, specificity and negative predictive value (NPV) for predicting abnormal bone density were 0.940, 0.877, 0.896, and 0.890, respectively. The corresponding results for predicting subjects with osteoporosis were 0.896, 0.848, 0.853, and 0.969, respectively. DATA CONCLUSION: mDixon Quant is a fast, simple, noninvasive and nonionizing method to access vertebral BMFF and has a high predictive power for identifying abnormal bone density and osteoporosis. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:390-399.
Authors: Yannik Leonhardt; Florian T Gassert; Georg Feuerriegel; Felix G Gassert; Sophia Kronthaler; Christof Boehm; Alexander Kufner; Stefan Ruschke; Thomas Baum; Benedikt J Schwaiger; Marcus R Makowski; Dimitrios C Karampinos; Alexandra S Gersing Journal: Quant Imaging Med Surg Date: 2021-08
Authors: Nico Sollmann; Edoardo A Becherucci; Christof Boehm; Malek El Husseini; Stefan Ruschke; Egon Burian; Jan S Kirschke; Thomas M Link; Karupppasamy Subburaj; Dimitrios C Karampinos; Roland Krug; Thomas Baum; Michael Dieckmeyer Journal: Front Endocrinol (Lausanne) Date: 2022-01-04 Impact factor: 5.555