This study provides the first evidence of global Treg impairment in IPF that strongly correlates with disease severity, suggesting a role for Tregs in the fibrotic process.

We present a sensing system operating at millimetre (mm) waves in transmission mode that can measure glucose level changes based on the complex permittivity changes across the signal path. The permittivity of a sample can change significantly as the concentration of one of its substances varies: for example, blood permittivity depends on the blood glucose levels. The proposed sensing system uses two facing microstrip patch antennas operating at 60 GHz, which are placed across interrogated samples. The measured transmission coefficient depends on the permittivity change along the signal path, which can be correlated to the change in concentration of a substance. Along with theoretical estimations, we experimentally demonstrate the sensing performance of the system using controlled laboratory samples, such as water-based glucose-loaded liquid samples. We also present results of successful glucose spike detection in humans during an in-vivo Intravenous Glucose Tolerance Test (IVGTT). The system could eventually be developed into a non-invasive glucose monitor for continuous monitoring of glucose levels for people living with diabetes, as it can detect as small as 1.33 mmol/l (0.025 wt%) glucose concentrations in the controlled water-based samples satisfactorily, which is well below the typical human glucose levels of 4 mmol/l.

Background: The survival of patients with malignant pleural effusion is considered generally poor. Most of the studies reporting results of prognostic factors are retrospective, using pleural thoracentesis for diagnosis. The objectives of our study were to reveal possible prognostic factors in patients initially presenting with undiagnosed pleural effusion proven to be malignant by diagnostic thoracoscopy. Methods: Ninety consecutive patients, 48 of whom were male (53%), with a median age of 69 years (range 37-93) and a performance status (PS) of 0/1 (63%) and with initially undiagnosed pleural effusion that was proven to be malignant by thoracoscopy were evaluated. Survival time was defined as the time from thoracoscopic diagnosis to death or the last follow-up. A regression analysis was used to determine significant clinical and biological prognostic factors. Results: Lung carcinoma (44.4%), breast carcinoma (24.4%), and mesothelioma (12.2%) were the most frequent tumors diagnosed. The median overall survival was 11 months (range 0.5-55). The survival of the patients was related to the following factors: histology of the primary tumor (p = 0.008), PS (p < 0.001), white blood cells (p = 0.018), and the blood neutrophil-to-lymphocyte (N/L) ratio (p = 0.002). Multiple regression showed PS, histology, and the N/L ratio. Conclusion: The factors affecting survival in our patients were PS, primary tumor histology, and the N/L ratio. These factors may help physicians select patients for treatment and/or interventional procedures.

We present an initial experimental validation of a microwave tomography (MWT) prototype for brain stroke detection and classification using the distorted Born iterative method, two-step iterative shrinkage thresholding (DBIM-TwIST) algorithm. The validation study consists of first preparing and characterizing gel phantoms which mimic the structure and the dielectric properties of a simplified brain model with a haemorrhagic or ischemic stroke target. Then, we measure the S-parameters of the phantoms in our experimental prototype and process the scattered signals from 0.5 to 2.5 GHz using the DBIM-TwIST algorithm to estimate the dielectric properties of the reconstruction domain. Our results demonstrate that we are able to detect the stroke target in scenarios where the initial guess of the inverse problem is only an approximation of the true experimental phantom. Moreover, the prototype can differentiate between haemorrhagic and ischemic strokes based on the estimation of their dielectric properties.

We present a first prototype of a wideband microwave tomography system with potential application to medical imaging. The system relies on a compact and robust printed monopole antenna which can operate in the 1.0–3.0 GHz range when fully immersed in commonly used coupling liquids, such as glycerine–water solutions. By simulating the proposed imaging setup in CST Microwave Studio, we study the signal transmission levels and array sensitivity for different target and coupling liquid media. We then present the experimental prototype design and data acquisition process, and show good agreement between experimentally measured data and results from the CST simulations. We assess imaging performance by applying our previously proposed two-dimensional (2-D) DBIM TwIST-algorithm to both simulated and experimental datasets, and demonstrate that the system can reconstruct simple cylindrical targets at multiple frequencies.