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FROM THE BLOG
26 January 2017
A recent study demonstrates that the Medoc PATHWAY system (CHEPS Model) is able to generate a reliably recorded Cold Evoked Potential (CEP) – a non-invasive, painless objective measure for the assessment of A-delta fiber integrity The Pathway Model CHEPS System is an advanced thermal stimulator capable of eliciting a recordable pain evoked potential – allowing ...Read More
19 October 2016
A conclusive multi-center study to be presented at the upcoming German Pain Meeting validates of the Q-Sense thermal testing device, confirming the applicability of existing normative data. Thermal QST is a reliable method for small fiber assessment and an essential part of the DFNS protocol. While the TSA-II device has been the gold standard for ...Read More
CHEP latency as an indicator of small nerve fiber function might be useful as predictor of Spinal Cord Stimulation treatment outcome in PDP (painful diabetic polyneuropathy) patients"Pluijms et al. Increased Contact Heat Evoked Potential Stimulation Latencies in Responders to Spinal Cord Stimulation for Painful Diabetic Polyneuropathy. Neuromodulation 2014
Cold Detection Threshold is a traditional functional small fiber test that in a contemporary, systematic cross-sectional analysis of patients with type 1 diabetes identifies DSP with very good diagnostic performance"Lysy et al. Measurement of cooling detection thresholds for identification of diabetic sensorimotor polyneuropathy in type 1 diabetes. PLoS ONE 2014;9(9):e106995.
QST may have a role in the assessment of patients with neuropathic pain for suitability for rTMS treatment and is likely to add to our understanding of how rTMS induces pain relief"Hasan M et al. Somatosensory Change and Pain Relief Induced by Repetitive Transcranial Magnetic Stimulation in Patients With Central Poststroke Pain. Neuromodulation 2014.
Thermal QST is a simple, non-noxious test, and the information gleaned from the testing might be useful for stratification of subjects based on their relative opioid requirement in order to optimize postoperative pain management"Ahmad S et al. Thermal Quantitative Sensory Testing to Predict Postoperative Pain Outcomes Following Gynecologic Surgery. Pain Med 2014;15(5):857-864.