The Effects of Perinodular Features on Solid Lung Nodule Classification.

Lung cancer is the most lethal malignant neoplasm worldwide, with an annual estimated rate of 1.8 million deaths. Computed tomography has been widely used to diagnose and detect lung cancer, but its diagnosis remains an intricate and challenging work, even for experienced radiologists.

Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval.

Purpose: Lung cancer is the leading cause of cancer-related deaths in the world. Its diagnosis is a challenge task to specialists due to several aspects on the classification of lung nodules. Therefore, it is important to integrate content-based image retrieval methods on the lung nodule classification process, since they are capable of retrieving similar cases from databases that were previously diagnosed.

Automatic weighing attribute to retrieve similar lung cancer nodules.

Background: Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invades neighboring tissues and destroys them. Lung cancer is the primary cause of cancer-related deaths in the world, and it diagnosis is a complex task for specialists and it presents some big challenges as medical image interpretation process, pulmonary nodule detection and classification. In order to aid specialists in the early diagnosis of lung cancer, computer assistance must be integrated in the imaging interpretation and pulmonary nodule classification processes.

Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.

Lung cancer is the leading cause of cancer-related deaths in the world, and its main manifestation is pulmonary nodules. Detection and classification of pulmonary nodules are challenging tasks that must be done by qualified specialists, but image interpretation errors make those tasks difficult. In order to aid radiologists on those hard tasks, it is important to integrate the computer-based tools with the lesion detection, pathology diagnosis, and image interpretation processes.

Avatar-mediated home safety assessments: piloting a virtual objective structured clinical examination station.

Background: Avatars and virtual worlds offer medical educators new approaches to assess learners' competency in home-safety assessments that are less time-consuming and more flexible than traditional home visits. We sought to evaluate the feasibility and acceptability of implementing an avatar-mediated, 3-dimensional (3-D) home simulation as a virtual objective structured clinical examination station for geriatric medicine fellows.

Methods: We developed a 3-D home simulation in the virtual world Second Life (Linden Lab, San Francisco, CA) containing 50 safety hazards that could affect the safety of an elderly person at home.

Cathepsin V, but not cathepsins L, B and K, may release angiostatin-like fragments from plasminogen.

Abstract Cathepsin V is a lysosomal cysteine peptidase highly expressed in corneal epithelium; however, its function in the eye is still unknown. Here, we describe the capability of cathepsin V to hydrolyze plasminogen, which is also expressed in human cornea at levels high enough to produce physiologically relevant amounts of angiostatin-related molecules. The co-localization of these two proteins suggests an important role for the enzyme in the maintenance of corneal avascularity, essential for optimal visual performance.