Gordon, K; Mortimer, PS; van Zanten, M; Jeffery, S; Ostergaard, P; Mansour, S
(2021)
The St George's Classification Algorithm of Primary Lymphatic Anomalies.
Lymphat Res Biol, 19 (1).
pp. 25-30.
ISSN 1557-8585
https://doi.org/10.1089/lrb.2020.0104
SGUL Authors: Van Zanten, Malou Catharina Ostergaard, Pia
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Abstract
Clinicians and scientists at St George's University Hospital have collaborated to develop a classification algorithm for primary lymphatic anomalies. Instruction is offered on how to apply the algorithm in clinical practice to refine the diagnosis of primary lymphedema and guide on genetic testing and management. It can also be used to interpret mutation testing results of uncertain significance. The algorithm has evolved as more genes have been discovered, and it remains a "work in progress" as further discoveries are made. This transformational approach has revolutionized the understanding and classification of primary lymphatic anomalies.
Item Type: | Article | ||||||||||||||||||
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Additional Information: | Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/lrb.2020.0104 | ||||||||||||||||||
Keywords: | classification algorithm, primary lymphatic anomalies, primary lymphedema, primary lymphatic anomalies, primary lymphedema, classification algorithm, 1107 Immunology, Oncology & Carcinogenesis | ||||||||||||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) | ||||||||||||||||||
Journal or Publication Title: | Lymphat Res Biol | ||||||||||||||||||
ISSN: | 1557-8585 | ||||||||||||||||||
Language: | eng | ||||||||||||||||||
Publisher License: | Publisher's own licence | ||||||||||||||||||
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PubMed ID: | 33395557 | ||||||||||||||||||
Web of Science ID: | WOS:000605064500001 | ||||||||||||||||||
Go to PubMed abstract | |||||||||||||||||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/112812 | ||||||||||||||||||
Publisher's version: | https://doi.org/10.1089/lrb.2020.0104 |
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