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  • BACKGROUND: Lipedema is characterized by the deposition of abnormal fat in the lower and upper limbs bilaterally. It is a disease with high prevalence and genetic characteristics. Non-specific and non-quantified increases in the thickness of the subcutaneous tissue have previously been demonstrated using magnetic resonance imaging and computed tomography. OBJECTIVES: To evaluate the thickness of the dermis and subcutaneous tissue in predetermined areas as a distinguishing feature between individuals with and without lipedema using ultrasound. METHODS: Ultrasound images of 89 female patients were analyzed, including patients undergoing clinical investigation for venous insufficiency or lipedema who underwent ultrasound evaluations at our institution. Patients were divided in two groups: with lipedema clinically diagnosed and those without lipedema. They underwent a common Doppler protocol for venous mapping to assess venous insufficiency associated with the evaluation of dermis and subcutaneous thickness at pre-defined points of the lower limbs. RESULTS: There were 63 patients with lipedema. Anterior thigh, pre-tibial and lateral aspect of the leg and supra-just medial malleolar region were significantly different. Supra-just medial malleolar region was significantly different with BMI above 25. An optimal cutoff value was calculated for the ultrasound diagnosis of lipedema using thickness of the dermis and subcutaneous tissues. CONCLUSIONS: Studied criteria allow use of simple and reproducible ultrasound cutoff values to diagnose lipedema in the lower limbs. Pre-tibial region thickness measurement, followed by thigh and lateral leg thickness are recommended for the ultrasound diagnosis of lipedema.

  • Abstract Background Lipedema is characterized as an abnormal deposition of fat in the buttocks and legs bilaterally that may be accompanied by swelling, pain, and tenderness. It is still often confused with more frequent conditions such as obesity and lymphedema. The estimated prevalence in Europe varies between 0.06% and 39%. Objectives To evaluate the prevalence of lipedema and identify health factors related to it in the Brazilian population. Methods Administration of a previously validated online screening questionnaire to a representative sample of the general population. The questionnaire was distributed and administered to anonymous volunteers representing the general Brazilian population using software designed for population analyses. Results 253 women answered the questionnaire, 12.3 ± 4% (Confidence Interval [CI] 95%) of whom presented symptoms compatible with a high probability of being diagnosed with lipedema. Furthermore, anxiety, depression, hypertension, and anemia were also correlated with a high probability of the diagnosis. Conclusions The estimated prevalence of lipedema in the population of Brazilian women is 12.3%. , Resumo Contexto O lipedema é caracterizado por deposição anormal de gordura em glúteos e pernas bilateralmente, que pode ser acompanhada por edema, dor e sensibilidade ao toque. Ainda é frequentemente confundido com condições mais frequentes, como obesidade e linfedema. A prevalência estimada na Europa varia entre 0,06% e 39%. Objetivos Avaliar a prevalência do lipedema na população brasileira e identificar fatores de saúde relacionados a essa doença. Métodos Foi aplicado um questionário de rastreamento on-line, previamente validado em amostra representativa da população geral. O questionário de rastreamento foi distribuído e aplicado em voluntárias anônimas representativas da população geral brasileira por software dedicado a análises populacionais. Resultados Um total de 253 mulheres respondeu ao questionário, e 12,3 ± 4% (intervalo de confiança de 95%) apresentaram sintomatologia compatível com alta probabilidade de diagnóstico de lipedema. Ansiedade, depressão, hipertensão e anemia foram correlacionadas com a alta probabilidade diagnóstica da doença. Conclusões A prevalência estimada do lipedema na população de mulheres brasileiras é de 12,3%.

Last update from database: 4/3/25, 7:49 AM (UTC)

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