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Abstract Number: 1054

Diffusion Tensor and Dynamic Contrast Enhanced Perfusion Imaging Metrics Discriminate Chronic Tubercular Synovitis From Chronic Inflammatory Synovitis of the Knee

Vikas Agarwal1, Rakesh K. Gupta2, Rishi Awasthi2, Deepak Tripathi3, Prativa Sahoo4, Vinita Agrawal5, Kusum Sharma6, Rungmei Marak7, Ram Kishore Singh Rathore4 and CM Pandey8, 1Clinical Immunology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India, 2Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Lucknow, India, 3Clinical Immunology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Lucknow, India, 4Mathematics and statistics, Indian Institute of Technology, Kanpur, India, 5Pathology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Lucknow, India, 6Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 7MIcrobiology, Microbiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Lucknow, India, 8Biostatistics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Lucknow, India

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: Magnetic resonance imaging (MRI), synovitis and tuberculosis

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Session Information

Title: Imaging of Rheumatic Diseases: Magnetic Resonance Imaging, Computed Tomography and X-ray

Session Type: Abstract Submissions (ACR)

Background/Purpose: The study was performed to quantify dynamic contrast enhanced (DCE) and diffusion tensor imaging (DTI) metrics in synovium of patients with tubercular synovitis (TS) and chronic inflammatory synovitis (CIS) with an aim to discriminate between TS and CIS.

Methods:

Seventy-three patients with knee synovitis (18-75 years, 51 Male) underwent conventional, DTI and DCE-MRI.­ DTI and DCE data were quantified from the segmented contrast enhanced synovium. Descriptive statistics, Box-plot with Tukey’s hinges were produced for all DTI (fractional anisotropy, FA and mean diffusivity, MD) and perfusion metrics (blood volume, BV; blood flow, BF and volume transfer constant, ktrans). The mean difference between the two groups was compared using Student’s t-test for independent samples. To classify subjects into TS and CIS, two-group discriminant function analysis with stepwise inclusion of variables was performed.

Results: Out of 73 patients, 15 were detected to have TS, while rests were found to have CIS. DCE (BV, BF) and DTI metrics (FA, MD) were significantly (p<0.001) different between the two groups (TS:BV=14.35±4.21 ml/100gm, CIS_BV=4.57±2.77 ml/100gm,  TS BF=155.7±29.5 ml/100gm/min, CIS BF=94.9±34.5 ml/100gm/min, TS FA=0.26±0.02, MD=1.23±0.39×10-3 mm2sec-1; CIS FA=0.20±0.02, MD=1.7±0.5×10-3 mm2sec-1). Discriminant analysis revealed BV and FA as discriminators of TS and CIS. It classified 93.3% of TS and 100% of CIS correctly. The overall model classified 98.6% cases correctly.

Conclusion:

DTI and DCE-MRI metrics are able to discriminate TS from CIS. FA and BV may be used as non-invasive image biomarkers for its differentiation.


Disclosure:

V. Agarwal,
None;

R. K. Gupta,
None;

R. Awasthi,
None;

D. Tripathi,
None;

P. Sahoo,
None;

V. Agrawal,
None;

K. Sharma,
None;

R. Marak,
None;

R. K. S. Rathore,
None;

C. Pandey,
None.

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ACR Meeting Abstracts - https://acrabstracts.org/abstract/diffusion-tensor-and-dynamic-contrast-enhanced-perfusion-imaging-metrics-discriminate-chronic-tubercular-synovitis-from-chronic-inflammatory-synovitis-of-the-knee/

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