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Background: The relationship between sagittal spine alignment and vertebral bone marrow fat is unknown. We aimed to assess the relationship between vertebral bone marrow fat and sagittal spine alignment using chemical shift-encoding-based water-fat magnetic resonance imaging (MRI).
Methods: A total of 181 asymptomatic volunteers were recruited for whole spine X-ray and lumbar MRI. Spine typing was performed according to the Roussouly classification and measurement of vertebral fat fraction based on the chemical shift-encoding-based water-fat MRI. One-way analysis of variance (ANOVA) was used to analyze the differences in vertebral fat fraction between spine types. The post hoc least significant difference (LSD) test was utilized for subgroup comparison after ANOVA.
Results: Overall, the vertebral fat fraction increased from L1 to L5 and was the same for each spine type. The vertebral fat fraction was the highest in type 1 and lowest in type 4 at all levels. ANOVA revealed statistically significant differences in fat fraction among different spine types at L4 and L5 (P < .05). The post hoc LSD test showed that the fat fraction of L4 was significantly different (P < .05) between type 1 and type 4 as well as between type 2 and type 4. The fat fraction of L5 was significantly different between type 1 and type 3, between type 1 and type 4, and between type 2 and type 4 (P < .05).
Conclusion: Our study found that vertebral bone marrow fat is associated with sagittal spine alignment, which may serve as a new additional explanation for the association of sagittal alignment with spinal degeneration.
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http://dx.doi.org/10.1186/s13018-023-03944-w | DOI Listing |
Diabetes Res Clin Pract
September 2025
Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy; Diabetes Unit, Umberto 1 General Hospital, Rome, Italy.
Aims: To investigate liver disease and its risk factors in LADA compared to type 1 (T1D) and type 2 (T2D) diabetes.
Methods: Liver magnetic resonance (MR) and MR elastography were used to measure proton density fat fraction (PDFF) and stiffness in 31 people with LADA matched for gender, body mass index (BMI) and disease duration with 31 people with T2D, and for gender, BMI and age with 31 people with T1D. Visceral adipose tissue (VAT) was quantified by DXA.
Eur Radiol Exp
September 2025
Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Background: Bone marrow (BM) lesion differentiation remains challenging, and quantitative magnetic resonance imaging (MRI) may enhance accuracy over conventional methods. We evaluated the diagnostic value and inter-reader reliability of Dixon-based signal drop (%drop) and fat fraction percentage (%fat) as adjuncts to existing protocols.
Materials And Methods: In this prospective two-center study, 172 patients with BM signal abnormalities underwent standardized 1.
Front Endocrinol (Lausanne)
September 2025
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Objectives: To evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in older adult(s) osteoporosis patients.
Materials & Methods: Thirty OVCF patients and 15 osteoporosis patients were enrolled. Areas of interest (ROIs) were manually drawn using the post-processing workstation, and FF values of the patient's L1-L4 vertebrae (except the fractured vertebrae) were measured.
Abdom Radiol (NY)
September 2025
Department of Gastroenterology department, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study aimed to create and validate a nomogram to predict early recurrence (ER) in Colorectal cancer (CRC) patients by combining CT-derived abdominal fat parameters with clinical and pathological characteristics.
Methods: We conducted a retrospective analysis of 206 CRC patients, dividing them into training (n = 146) and validation (n = 60) cohorts. We quantified abdominal fat parameters, including subcutaneous adipose tissue index (SATI) and visceral adipose tissue index (VATI), using semi-automatic software on CT images at the level of the third lumbar vertebra (L3).
J Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
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