Diagnosing Lipedema

Current

Currently, the best way to diagnose lipedema is performing manual inspection by a trained physician in conjunction with patient history. Upon palpation of the fat the healthcare professional may feel an atypical texture to the fat, such as 'grains of sand or rice', tiny pebbles or pea-like nodules and/or large strands of nodules. However, the different texture may be shallow or deep, and may be difficult to feel, especially if swelling is present. We are actively funding research that can identify tools to provide definitive diagnoses including genetic markers, blood and other markers, imaging, and other studies. 

Patient History and Physical Exam

*Added by Dr Herbst

Dutch Guidelines 2014

UK Guidelines

German Guidelines 2015

The original criteria

See additional resources

 

FUTURE Diagnostic tools

The Lipedema Foundation aims to put data behind the diagnosis and is supporting many endeavours to definitely diagnose liepdema.

Genetics

Biomarkers

There's an App for that!

  • App that compares images of one's legs to a database of diagnosed legs

  • Leg shape assessment, along the lines of the "Like a Glove" brand jeans fitter to determine "big legs"

Soft Tissue Imaging

  • MRI

  • CT

  • Ultrasound

  • Airport scanners (no really, some of us light up as we walk through them!)

Lymph Vessel Imaging

  • NIRFLI

  • Lymphoscintigraphy - Currently used to rule out lymphedema

  • SPY Elite

Imaging of Fat Content

  • DEXA (1, 2)

Bioimpedence

  •        Full-body Bioimpedence studies may help identify limb versus central fat deposition and swelling

Changes in Biochemical / Bio-mechanical Properties

  • Na-MRI

Assessing blood capillary fragility

  • Angiosterometer

Water Volume Measurements

  • Streeten Test

 

References (in development)

DEXA

1 Dietzel R, Reisshauer A, Jahr S, Calafiore D, Armbrecht G., Body Composition in lipoedema of the legs using dual-energy X-ray absorptiomety: a case-control study. Brit J Derm. 173: 594–596; 2015

2  “Fat Distribution and Glucose Metabolism in Individuals with and without Williams Syndrome” (NCT01864304)