ArticleEuropean radiology2021
Use of proton density fat fraction MRI to predict the radiographic progression of osteoporotic vertebral compression fracture.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Beyond SINS: A Critical Review of Biomechanical, Microstructural, and Radiomic Biomarkers for Predicting Fracture Risk in Spinal Metastases.Diagnostics (Basel, Switzerland) · 2026Review
- Compression Rate Progression of Osteoporotic Vertebral Compression Fracture in Conservative Treatments.Journal of Korean medical science · 2025Article
- Predicting the Nonunion of the Acute Osteoporotic Vertebral Compression Fracture Following Low-Energy Injuries by Quantifying Vertebral Marrow Fat Fraction on TOrthopaedic surgery · 2025Article
- The q-Dixon sequence for MRI predicts osteoporotic vertebral compression fractures.Frontiers in endocrinology · 2025Article
- Feasibility study in quantitative identification of fresh and old osteoporotic vertebral compression fracture by vertebral CT value and CT value difference.BMC musculoskeletal disorders · 2024Article
- [Multiparametric magnetic resonance imaging for hepatocellular carcinoma, part 1 : Morphology and dynamic perfusion imaging in primary diagnostics and treatment monitoring].Radiologie (Heidelberg, Germany) · 2024Article
- The quantitative parameters derived from IDEAL-IQ in the lumbar vertebrae of healthy children: a pilot study of bone development.Quantitative imaging in medicine and surgery · 2024Article
- CT and MR for bone mineral density and trabecular bone score assessment in osteoporosis evaluation.Scientific reports · 2023Article
- Preliminary study for prediction of benign vertebral compression fracture age by quantitative water fraction using modified Dixon sequences: an imaging biomarker of fracture age.La Radiologia medica · 2023Article
- Differentiation of bone metastases from benign red marrow depositions of the spine: the role of fat-suppressed T2-weighted imaging compared to fat fraction map.European radiology · 2022Article
- How to distinguish thoracic and cervical lymph nodes during minimally invasive esophagectomy.Thoracic cancer · 2022Article
- MRI-based vertebral bone quality score effectively reflects bone quality in patients with osteoporotic vertebral compressive fractures.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022Article
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4 authors at 1 institution in 1 country.
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Abstract
objectiveThis study evaluated the diagnostic performance of the proton density fat fraction (PDFF) in predicting the progression of osteoporotic vertebral compression fractures (OVCFs).
methodsThe cohort in this retrospective study consisted of 48 patients with OVCFs who underwent spine MRI that included PDFF between December 2016 and June 2018. The patients were divided into two groups (with versus without OVCF progression, based on the radiographic results obtained at the 6-month follow-up examination). Two musculoskeletal radiologists independently calculated the PDFF of the fracture and the PDFF ratio (fracture PDFF/normal vertebrae PDFF) using regions of interest. The mean values of these parameters were compared between the two groups, and the receiver operating characteristic curves were analysed.
resultsThe mean age was significantly higher in the group with OVCF progression (71.6 ± 8.4 years) than in the group without (64.8 ± 10.5 years) (p = 0.018). According to reader 1, the PDFF ratio was significantly lower in the group with OVCF progression versus that without OVCF progression (0.38 ± 0.13 vs 0.51 ± 0.20; p = 0.009), whereas the difference in the PDFF itself was not statistically significant. The PDFF ratio [area under the curve (AUC) = 0.723; 95% confidence interval (CI), 0.575-0.842] had a larger AUC than did the PDFF (AUC = 0.667; 95% CI, 0.516-0.796). The optimal cut-off value of the PDFF ratio for predicting OVCF progression was 0.42; this threshold corresponded to sensitivity, specificity, and accuracy values of 84.0%, 60.9%, and 72.9%, respectively.
conclusionThe age and PDFF ratio can be used to predict OVCF progression. KEY POINTS: • Chemical shift-encoded magnetic resonance imaging provides quantitative parameters for predicting OVCF progression. • The PDFF ratio is significantly lower in patients with OVCF progression. • The PDFF ratio is superior to the PDFF for predicting OVCF progression.
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