PROTEINS OF THE SEMINIFEROUS TUBULE FLUID IN MAN\p=m-\EVIDENCEFOR A BLOOD\p=m-\TESTISBARRIER

Summary. Seminiferou

Experiences with a teleradiology system in pulmonary diseases

Chest radiographs of 43 patients were digitized and sent from Paimio Hospital to Turku University Central Hospital. Fifteen of the patients had a pneumothorax, 12 had interstitial lung disease and 16 were controls. The images were interpreted by 5 radiologists during their duty shift. The first reading session consisted of images with 1 024 × 1 024 pixel resolution and the second of images with 2 048 × 2 048 matrix followed by the original chest radiographs. ROC studies were performed from the answers based on a 5-point confidence scale. In the pneumothorax group the average area under the individual ROC curve was 0.928 with the 1 024 × 1 024 matrix and 0.983 with the 2 048 × 2 048 matrix. In the fibrosis group the average area under the individual ROC curve was 0.877 with the 1 024 × 1 024 matrix and 0.831 with the 2 048 × 2 048 matrix. The results suggest that the 1 024 × 1 024 matrix is adequate in the detection of pneumothoraces and fibrosis. </jats:p

Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging

<p/> <p>The "Dynamic Chest Image Analysis" project aims to develop model-based computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the dynamic pulmonary imaging technique. We have proposed and evaluated a multiresolutional method with an explicit ventilation model for ventilation analysis. This paper presents a new model-based method for pulmonary perfusion analysis. According to perfusion properties, we first devise a novel mathematical function to form a perfusion model. A simple yet accurate approach is further introduced to extract cardiac systolic and diastolic phases from the heart, so that this cardiac information may be utilized to accelerate the perfusion analysis and improve its sensitivity in detecting pulmonary perfusion abnormalities. This makes perfusion analysis not only fast but also robust in computation; consequently, perfusion analysis becomes computationally feasible without using contrast media. Our clinical case studies with 52 patients show that this technique is effective for pulmonary embolism even without using contrast media, demonstrating consistent correlations with computed tomography (CT) and nuclear medicine (NM) studies. This fluoroscopical examination takes only about 2 seconds for perfusion study with only <it>low</it> radiation dose to patient, involving <it>no</it> preparation, <it>no</it> radioactive isotopes, and <it>no</it> contrast media.</p