Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow

Michael Berks; Graham Dinsdale; Andrea Murray; Tonia Moore; Ariane Herrick; Christopher Taylor

doi:10.1007/978-3-319-46726-9_40

Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow

Michael Berks, Graham Dinsdale, Andrea Murray, Tonia Moore, Ariane Herrick, Christopher Taylor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original language	English
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
Publisher	Springer Nature
Pages	344-352
Volume	3
ISBN (Print)	9783319467252
DOIs	https://doi.org/10.1007/978-3-319-46726-9_40
Publication status	Published - 2 Oct 2016

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	9902
ISSN (Print)	0302-9743

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Berks, M., Dinsdale, G., Murray, A., Moore, T., Herrick, A., & Taylor, C. (2016). Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow. In S. Ourselin, L. Joskowicz, M. R. Sabuncu, G. Unal, & W. Wells (Eds.), Medical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings. (Vol. 3, pp. 344-352). (Lecture Notes in Computer Science; Vol. 9902). Springer Nature. https://doi.org/10.1007/978-3-319-46726-9_40

Berks, Michael ; Dinsdale, Graham ; Murray, Andrea et al. / Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow. Medical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings.. editor / Sebastien Ourselin ; Leo Joskowicz ; Mert R. Sabuncu ; Gozde Unal ; William Wells. Vol. 3 Cham : Springer Nature, 2016. pp. 344-352 (Lecture Notes in Computer Science).

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title = "Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow",

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.",

author = "Michael Berks and Graham Dinsdale and Andrea Murray and Tonia Moore and Ariane Herrick and Christopher Taylor",

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Berks, M , Dinsdale, G , Murray, A, Moore, T, Herrick, A & Taylor, C 2016, Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow. in S Ourselin, L Joskowicz, MR Sabuncu, G Unal & W Wells (eds), Medical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings.. vol. 3, Lecture Notes in Computer Science, vol. 9902, Springer Nature, Cham, pp. 344-352. https://doi.org/10.1007/978-3-319-46726-9_40

Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow. / Berks, Michael ; Dinsdale, Graham ; Murray, Andrea et al.
Medical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings.. ed. / Sebastien Ourselin; Leo Joskowicz; Mert R. Sabuncu; Gozde Unal; William Wells. Vol. 3 Cham: Springer Nature, 2016. p. 344-352 (Lecture Notes in Computer Science; Vol. 9902).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Berks M , Dinsdale G , Murray A, Moore T, Herrick A , Taylor C. Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow. In Ourselin S, Joskowicz L, Sabuncu MR, Unal G, Wells W, editors, Medical image computing and computer-assisted intervention -- MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings.. Vol. 3. Cham: Springer Nature. 2016. p. 344-352. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-46726-9_40

Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow

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