Anti-Ro52 antibodies are a risk factor for interstitial lung disease in primary Sjögren syndrome.

OBJECTIVE: To determine whether anti-Ro52 antibodies are associated with ILD in pSS. METHODS: Retrospective study based on the presence or absence of anti-Ro52 antibodies in patients with pSS. Patients underwent chest HRCT at the time of diagnosis or during follow-up. RESULTS: Sixty-eight patients were included. Two groups were defined by the presence (n = 31) or absence (n = 37) of anti-Ro52 antibodies. ILD was significantly higher in the presence of anti-Ro52 (41.9%, n = 13) versus in the anti-Ro52-negative group (16.2%, n = 6; p = 0.019). Multivariate analysis adjusted for anti-SSA/Ro60, anti-SSB antibodies and rheumatoid factor status confirmed that anti-Ro52 antibodies positivity is a predictive factor for ILD (p = 0.01). Nonspecific interstitial pneumonia was the most common pattern of ILD (31.6%). The majority of patients were diagnosed with pSS simultaneously to ILD (52.6%). In the anti-Ro52-negative group, no patients develop ILD after 5 years of follow-up. CONCLUSION: In pSS, the risk of developing ILD is higher in the presence of anti-Ro52 antibodies. In patients with pSS and anti-Ro52 antibodies, a clinical screening and pulmonary functional tests with DLCO is necessary during the follow-up and should comprise chest HRCT if there is a decline in the DLCO or clinical symptoms or inspiratory crackles.

Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images.

We propose a new deformable slice-to-volume registration method to register a 2D Transvaginal Ultrasound (TVUS) to a 3D Magnetic Resonance (MR) volume. Our main goal is to find a cross-section of the MR volume such that the endometrial implants and their depth of infiltration can be mapped from TVUS to MR. The proposed TVUS-MR registration method uses contour to surface correspondences through a novel variational one-step deformable Iterative Closest Point (ICP) method. Specifically, we find a smooth deformation field while establishing point correspondences automatically. We demonstrate the accuracy of the proposed method by quantitative and qualitative tests on both semi-synthetic and clinical data. To generate semi-synthetic data sets, 3D surfaces are deformed with 4-40% degrees of deformation and then various intersection curves are obtained at 0-20° cutting angles. Results show an average mean square error of 5.7934±0.4615mm, average Hausdorff distance of 2.493±0.14mm, and average Dice similarity coefficient of 0.9750±0.0030.