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PURPOSE: Lipedema is a painful subcutaneous adipose tissue (SAT) disease involving disproportionate SAT accumulation in the lower extremities that is frequently misdiagnosed as obesity. We developed a semiautomatic segmentation pipeline to quantify the unique lower-extremity SAT quantity in lipedema from multislice chemical-shift-encoded (CSE) magnetic resonance imaging (MRI). APPROACH: Patients with lipedema (n=15) and controls (n=13) matched for age and body mass index (BMI) underwent CSE-MRI acquired from the thighs to ankles. Images were segmented to partition SAT and skeletal muscle with a semiautomated algorithm incorporating classical image processing techniques (thresholding, active contours, Boolean operations, and morphological operations). The Dice similarity coefficient (DSC) was computed for SAT and muscle automated versus ground truth segmentations in the calf and thigh. SAT and muscle volumes and the SAT-to-muscle volume ratio were calculated across slices for decades containing 10% of total slices per participant. The effect size was calculated, and Mann-Whitney U test applied to compare metrics in each decade between groups (significance: two-sided P<0.05). RESULTS: Mean DSC for SAT segmentations was 0.96 in the calf and 0.98 in the thigh, and for muscle was 0.97 in the calf and 0.97 in the thigh. In all decades, mean SAT volume was significantly elevated in participants with versus without lipedema (P<0.01), whereas muscle volume did not differ. Mean SAT-to-muscle volume ratio was significantly elevated (P<0.001) in all decades, where the greatest effect size for distinguishing lipedema was in the seventh decade approximately midthigh (r=0.76). CONCLUSIONS: The semiautomated segmentation of lower-extremity SAT and muscle from CSE-MRI could enable fast multislice analysis of SAT deposition throughout the legs relevant to distinguishing patients with lipedema from females with similar BMI but without SAT disease.
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BACKGROUND: National survey data exploring the patient experience with lipedema are lacking. METHODS: We conducted national surveys from 2016 to 2022 of women with lipedema as well as female controls. Surveys collected information on symptomatology, pain, and therapies. We performed logistic regression comparing symptoms among those with lipedema versus controls adjusting for age and BMI. RESULTS: A total of 707 women with lipedema and 216 controls completed the surveys. Those with lipedema had a mean age of 48.6 years and mean BMI of 40.9 kg/m2. Lipedema symptom onset occurred frequently at puberty (48.0%) or pregnancy (41.2%). Compared to controls, women with lipedema were more likely to report leg swelling in heat (odds ratio [OR], 66.82; 95% CI, 33.04-135.12; p < 0.0001), easy bruising (OR, 26.23; 95% CI, 15.58-44.17; p < 0.0001), altered gait (OR, 15.54; 95% CI, 7.58-31.96; p < 0.0001), flu-like symptoms (OR, 12.99; 95% CI, 4.27-39.49; p < 0.0001), joint hypermobility (OR, 12.88; 95% CI, 6.68-24.81; p < 0.0001), cool skin (OR, 12.21; 95% CI, 5.20-28.69; p < 0.0001), varicose veins (OR, 11.29; 95% CI, 6.71-18.99; p < 0.0001), and fatigue (OR, 9.59; 95% CI, 6.10-15.09; p < 0.0001). Additionally, 70.3% had upper arm involvement, 21.2% reported foot swelling, and 16.6% reported foot pain. Most (52.2%) reported no symptom improvement with diet or exercise. Common therapies used included compression therapy (45.0%), gastric bypass (15.7%), and lower-extremity liposuction (14.0%). CONCLUSION: In a large, national, symptom survey, women with lipedema reported excess pain, swelling, and fat in the legs along with numerous symptoms beyond those classically described. Symptom responses to common therapies remain understudied.
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