Nailfold capillaroscopy (NC) allows non-invasive imaging of systemic sclerosis (SSc) related microvascular disease. We have developed a state-of-the-art NC system that enables fast, panoramic imaging of the whole nailfold at high-magnification, and incorporates novel software to make fully automated estimates of capillary structure and blood flow velocity. We present the first results of a study in which 50 patients with SSc, 12 with primary Raynauds phenomenon (PRP) and 50 healthy controls (HC) were imaged using the new system, and show that a combined model of capillary measurements strongly separates SSc from HC/PRP (ROC AzAz=0.93). Including capillary flow improves model performance, suggesting flow provides complementary information to capillary structure for diagnosing SSc.
|Title of host publication||Medical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings.|
|Editors||Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells|
|Place of Publication||Cham|
|Publication status||Published - 2 Oct 2016|
|Name||Lecture Notes in Computer Science|