Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow

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Abstract

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.

Bibliographical metadata

Original languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings.
EditorsSebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells
Place of PublicationCham
PublisherSpringer Nature
Pages344-352
Volume3
ISBN (Print)9783319467252
DOIs
Publication statusPublished - 2 Oct 2016

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume9902
ISSN (Print)0302-9743

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