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December 9-10, 2019 | Barcelona, Spain
Volume 14
ARTHRITIS AND RHEUMATOLOGY
ANATOMY AND PHYSIOLOGY
13
th
International Conference on
3
rd
International Conference on
&
Journal of Orthopaedics Trauma Surgery
and Related Research
Rheumatology Congress 2019 & Anatomy and Physiology 2019
December 09-10, 2019
J Orthop Trauma Surg Rel Res, ISSN: 1897-2276
Radial diffusivity role in classification of patients with antiphospholipid syndrome
and “normal” radiological exams
Shridevi Sandiramourty
Hospital of Nimes, France
Statement of the Problem
: Antiphospholipid syndrome is defined as an autoimmune disease which is associated to thrombosis
with common impact on MRI. However non-thrombolitic APS patients usually present “normal” routine MRI examinations. So,
there is an interest to find a way to diagnostic them. Methodology & Theoretical Orientation: Diffusion-Tensor MRI (DT-MRI)
was performed on 30 women with recurrent pregnancy loss (15 controls [C]; 15 antiphospholipid patients [APS] with high blood
titre of Lupus Anticoagulant or Anti-b2- Glicoprotein-I antibodies). Assessed with Radial Diffusivity (RD), preceding study has
demonstrated microstructural brain disruption in APS patients. Here, RD values were extracted within the significant clusters, in
which voxels were considered attributes to perform Hoeffding tree classification. This is an incremental decision-tree learning
model that assumes the distribution of data don’t change over time. Thus, small samples may be enough for optimal splitting
threshold.
Findings
: A total of 5225 attributes were found significant to produce 96.67% of accuracy (29 instances). Kappa statistics was
0.93, mean absolute error was 0.03 and the relative absolute error was 6.59%. All, but one control, subjects were correctly
classified, resulting sensitivity of 1 and specificity of 0.93.
Conclusion & Significance
: Radial Diffusivity index is an efficient attribute to classify patients withAntiphospholipid syndrome
by means of Hoeffding tree algorithms. Moreover, RD values can be used as markers to follow the progression of the disease.
sandiramourty.shridevi@gmail.com