- No patient preparation
- Results in 3 minutes
- Easy-to-read critical data points to
help Physicians reach a diagnosis
Fast
Simple
- Non-invasive
- No fasting
- Easy to operate
- Advanced touch screen
Accurate
- Highly reproducible quantitative results
- Backed by evidence-based research
- Independent from environmental conditions
The Science
SUDOSCAN is a test that provides an accurate evaluation of sweat gland function. The test focuses on small nerve fibers that innervate the sweat glands. The degeneration of small nerve fibers reduces sweat gland innervation and impairs sudomotor function.
SUDOSCAN measures the ability of the sweat glands to release chloride ions in response to an electrical stimulus on the palms of the hands and soles of the feet, areas with the highest sweat gland density.
SUDOSCAN provides a quantitative measure of chloride conductance (measured in microsiemens, µS) and its results serve as a biomarker to assess sweat gland function. The test results can be used as indicators for patients at risk of autonomic dysfunction through the measurement of Electrochemical Skin Conductance (ESC).
Learn More About SUDOSCAN
Interview with Dr Smirnoff, M.D., Neurologist – Use of SUDOSCAN
Interview with Dr Smirnoff, M.D., Neurologist – Early detection
Interview with Dr Smirnoff, M.D., Neurologist – Diagnostic work up
SUDOSCAN featured on the Discovery Channel Show – Innovations Series.
An Innovative Technology
SUDOSCAN is a patented technology that evaluates sweat gland function, which is controlled by small nerves like some of those involved in pain sensation.
The polarity of the stainless steel sensor plates is swapped during a scan to record individual right and left side conductance values. The amount of observed asymmetry can sometimes help the physician in determining a diagnosis.
SUDOSCAN and Type 2 Diabetes
Small nerve fibers are the very first targets of diabetes. For a substantial number of patients, irreversible tissue damage (peripheral vascular disease, nephropathy, retinopathy, neuropathy) have already set in at the time of diagnosis [1]. 60-70% of patients with diabetes have neuropathies [2].
Early identification of these complications, which may be asymptomatic in up to 50% of diabetic patients, has the potential to reduce or delay their complications with timely preventative treatment.
The American Diabetes Association (ADA) mandates that all patients with diabetes be screened annually for peripheral and autonomic neuropathy.
Simply Put: Less Invasive and More Reliable.
The use of skin biopsy (IENFD) is an accepted diagnostic measure of small fiber neuropathy, but it has certain limitations: invasiveness, risk of infection, poor healing process for diabetic patients, and a limited number of labs that can process the samples. [3]
Nerve conduction studies (NCS) are the gold standard for the diagnosis of peripheral neuropathy, but can only assess large myelinated fibers. Therefore, for symptomatic patients with normal NCS, small nerve fiber evaluation is recommended. [4]
SUDOSCAN’s diagnostic performance (ESC) is comparable to ENFD/SGNFD and QSART in detecting Neuropathy.
Peter Novak, Autonomic Laboratory, Department of Neurology, Brigham and Women’s Faulkner Hospital, Harvard Medical School, Boston, MA, USA. Read full article here
SUDOSCAN Technology Articles
Vinik AI, Smith AG, Singleton JR, Callaghan B, Freedman B, Tuomilehto J, Bordier L, Bauduceau B, Roche F. Normative values for Electrochemical Skin Conductances and Impact of Ethnicity on Quantitative Assessment of Sudomotor Function. Diabetes Tech and Ther.
Calmet A, Khalfallah K, Ayoub H, Lair V, Griveau S, Brunswick P, Bedioui F, Cassir M. Small fiber neuropathy diagnosis by a non-invasive electrochemical method: mimicking the in-vivo responses by optimization of electrolytic cell parameters. Electrochemical Acta 2014;140(10):37-41
Ayoub H, Lair V, Griveau S, Brunswick P, Bedioui F, Cassir M. SUDOSCAN device for the early detection of diabetes: in vitro measurements versus results of clinical tests. Sensor Letters journal 2011;9:2147-49
Khalfallah K, Ayoub H, Calvet JH, Neveu X, Brunswick P, Griveau S, Lair V, Cassir M, Bedioui F. Non invasive galvanic skin sensor for early diagnosis of sudomotor dysfunction: Application to Diabetes. IEEE sensors Journal 2010 :12(3) :456-63