The St George's Classification Algorithm of Primary Lymphatic Anomalies
Author(s) -
Kristiana Gordon,
Peter Mortimer,
Malou van Zanten,
Steve Jeffery,
Pia Østergaard,
Sahar Mansour
Publication year - 2021
Publication title -
lymphatic research and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 46
eISSN - 1557-8585
pISSN - 1539-6851
DOI - 10.1089/lrb.2020.0104
Subject(s) - lymphatic system , george (robot) , lymphedema , medicine , computer science , algorithm , artificial intelligence , pathology , cancer , breast cancer
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.
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