1. POS1111 DIAGNOSIS OF OSTEOPOROSIS USING RADIOFREQUENCY ECHOGRAPHIC MULTI SPECTROMETRY (REMS) AT THE LUMBAR SPINE IN PATIENTS WITH DIFFERENT BODY MASS INDEX
- Author
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Maurizio Muratore, D. Ovejero Crespo, M. L. Brandi, A Diez-Perez, Xavier Nogués, Bernard Cortet, Elaine M. Dennison, and Médéa Locquet
- Subjects
medicine.medical_specialty ,business.industry ,Immunology ,Osteoporosis ,Mass spectrometry ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,Rheumatology ,Immunology and Allergy ,Medicine ,Lumbar spine ,In patient ,Radiology ,business ,Body mass index - Abstract
Background:In recent years, the technology based on the analysis of raw ultrasound signals, Radiofrequency Echographic Multi Spectrometry (REMS), has been validated against Dual-energy X-ray Absorptiometry (DXA) for the diagnosis of osteoporosis and risk fracture prediction.Objectives:The aim of this multicenter observational study was to evaluate the diagnostic performance of REMS with respect to DXA in patients with different body mass index (BMI) categories.Methods:The inclusion criteria were: Caucasian women; age between 30 and 90 years; referral by their clinician for spinal DXA assessment; absence of significant walking impairment; signed informed consent.Patients underwent DXA and REMS scans at the lumbar spine, according to the procedures described in Di Paola et al. [1], including an a-posteriori quality check of the examinations in order to guarantee the maximum reliability of the diagnostic outputs.Three groups of patients were considered according to BMI:: underweight (BMI2), normal weight (BMI≥18.5 kg/m2 and 2), and overweight/obese (BMI≥25 kg/m2). DXA and REMS BMD values were also stratified in 3 diagnostic categories: osteoporotic, osteopenic, or healthy.The degree of correlation between DXA and REMS BMD values was quantified by calculating Pearson’s correlation coefficient (r). The diagnostic concordance between REMS and DXA was assessed by Cohen’s K considering the 3 diagnostic categories. REMS´s sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for discriminating patients with and without osteoporosis were also calculated using DXA outcomes as reference. The same statistics were calculated accepting a 0.3 T-score tolerance on T-score values of borderline cases [1].Results:Overall, 4282 patients were enrolled and, after the quality check, 3501 couples of scans were included in the analyses. Of these patients, 122 (3.5%) were underweight, 1964 (56.1%) were normal weight, and 1415 (40.4%) were overweight. The results of the diagnostic performance in patients after BMI stratification are reported in Table 1.Conclusion:We observed an excellent correlation between REMS-based diagnosis with respect to the osteoporosis diagnosis performed by DXA in patients from each BMI category. These results indicate that lumbar spine REMS analysis is a suitable and accurate diagnostic tool for patients with different BMI.References:[1]Di Paola M et al. Osteoporos Int. 2019 Feb;30(2):391-402.Table 1.Diagnostic performance of REMS with respect to DXA considered as reference for patients of different body size.BMIcategoriesrNo tolerance0.3 T-score toleranceSens.Spec.PPVNPVKSens.Spec.PPVNPVKUnderweight0.94697.591.586.898.40.8998.293.289.299.30.91Normal weight0.94692.694.487.096.90.8597.596.792.399.00.93Overweight0.93086.795.884.896.40.8296.397.892.199.00.93Abbreviations: BMI = body mass index; r = Pearson correlation coefficient; Sens. = sensitivity; Spec. = specificity; PPV = positive predictive value; NPV = negative predictive value; K = Cohen’s K.The authors BC, ED, ADP, ML, MM, XN, DOC are equal contributors listed in alphabetical order.Disclosure of Interests:None declared.
- Published
- 2021