Faculty Advisor

Glenn Gaudette

Faculty Advisor

Todd Bredbenner

Faculty Advisor

Karen Troy

Faculty Advisor

Songbai Ji

Identifier

etd-042618-133818

Abstract

Background Quantifying joint deformity in people with rheumatoid arthritis (RA) and psoriatic arthritis (PsA), using high resolution peripheral quantitative computed tomography (HR-pQCT), remains problematic because it is difficult to estimate where the healthy joint surface would have been. Methods The second metacarpophalangeal of RA, PsA and healthy subjects were imaged with HR-pQCT. Using the bone surfaces of the healthy cohort as a reference, the method predicted the healthy surface of each individual diseased bone surface. Quantifiable outcomes were measured based on differences between the predicted healthy surface and the actual diseased surface. Sensitivity studies were conducted to measure precision, and the algorithm was validated against artificially created deformities with known geometries. Results Subjects with PsA and RA had significantly greater occurrences of erosion based surface outcomes than the healthy cohort. Sensitivity analyses revealed precision errors of up to 0.26 mm. Validating the algorithm showed an average accuracy error of 0.12 mm (4%) for detecting erosions and 0.27 mm (20%) for detecting periosteal bone growths. Conclusions The new method allows for visualization and quantification of surface changes within the affected joint by identifying areas of erosion and periosteal bone formation. Surface based outcomes are a novel way to interpret and further quantify articular bone changes affected by PsA and RA.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Biomedical Engineering

Project Type

Thesis

Date Accepted

2018-04-26

Accessibility

Restricted-WPI community only

Subjects

MCP, method, HRpQCT, coherent point drift, inflammatory arthritis, non-linear surface transformation, CT, imaging

Available for download on Friday, April 26, 2019

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