Lung cancer is one of the tumors with the highest incidence rate and mortality rate in the world. It is also the malignant tumor with the fastest growing number of patients, which seriously threatens human life. How to improve the accuracy of diagnosis and treatment of lung cancer and the survival prognosis is particularly important. Machine learning is a multi-disciplinary interdisciplinary specialty, covering the knowledge of probability theory, statistics, approximate theory and complex algorithm. It uses computer as a tool and is committed to simulating human learning methods, and divides the existing content into knowledge structures to effectively improve learning efficiency and being able to integrate computer science and statistics into medical problems. Through the introduction of algorithm to absorb the input data, and the application of computer analysis to predict the output value within the acceptable accuracy range, identify the patterns and trends in the data, and finally learn from previous experience, the development of this technology brings a new direction for the diagnosis and treatment of lung cancer. This article will review the performance and application prospects of different types of machine learning algorithms in the clinical diagnosis and survival prognosis analysis of lung cancer.
Peripapillary intrachoroidal cavitation (PICC) is a common pathological change observed in high myopia. The exact pathogenesis of PICC is still unclear. Expansion and mechanical stretching of the peripapillary sclera, breakage and defect in the retina near the border of the myopic conus and communication between intrachoroidal cavity and the vitreous space may be important segments during the development of PICC. Color fundus photography shows a localized and well-circumscribed peripapillary lesion with yellow-orange colour, often accompanied by fundus changes, such as myopic conus excavation, optic disc tilting and inferotemporal retinal vein bending at the transition from the PICC to the myopic conus. However, the PICC lesion is not easy to be recognized in the fundus photography. Fluorescein angiography shows early hypofluorescence and later progressively staining in the lesion. Indocyanine green angiography shows hypofluorescence throughout the examination. Optical coherence tomography (OCT) is vital in diagnosing PICC. Hyporeflective cavities inside the choroid, sometimes communicating with the vitreous chamber, can be observed in OCT images. OCT angiography indicates lower vessel density or even absence of choriocapillary network inside or around PICC lesions.
Purpose To analyze the contents of domestic and inter national public ations in neuro-ophthalmology during the past decade. Methods CBM and Medline were separately searched in 2007, by using Medical subject heading for retrieving Chinese and English language neuro-ophthalmic articles which were published between 1997 and 2006. Results A total of 13052 Englishwritten a rticles available for analysis were contributed from more than 70 countries, mainly from USA, United Kingdom, Japan, Germany, Italy and Canada. The order of frequency was visual cortex（4496/13052，34.4%），optic nerve diseases（3870/13052，29.7%），ocular mo tility disorders（2899/13052,22.2%），visual pathway（1191/13052,9.1%）pupil dis orders(596/13052，5.6%). While a total of 3726 articles were retrieved from CBM, the order of frequency being optic nerve diseases（1854,49.8％），ocular motili ty disorders(excluding strabismus, 1357,36.4%),pupil disorders (242, 6.5%)，visual cortex(202, 5.4%), visual pathway(excluding retina, optic nerve, visual cortex, 71). Researchers with diverse specialties contributed to the neuro-ophthalmic publications. Compared with international counterpart, domestic articles relate d to basic researches were much less. Conclusion Neuro-ophtha lmoloy is interdisc iplinary with a wide range of researches and various study hotspots. Domestic basic researches on neuro-ophthalmology remain to be strengthened and improved. (Chin J Ocul Fundus Dis,2008,24:99-102)
The suprachoroidal space is a potential space between the sclera and choroid. Suprachoroidal spacedrug delivery is becoming an applicable method to the ocular posterior segment diseases. Because it targets the choroid, retinal pigment epithelium and retina with high bioavailability and safety, while maintaining low levels elsewhere in the eye. In recent years, new discoveries has been carried out in different areas of interest, such as drug delivery methods, pharmacokinetics and clinical trials. Clinical trials with suprachoroidal space injection of triamcinolone acetonide are executed with promising findings for patients with noninfectious uveitis and diabetic macular edema. Suprachoroidal space triamcinolone acetonide injectable suspension is the first and currently the only agent specifically approved for uveitic macular edema by Food and Drug Administration. Nowadays, many clinical trails with suprachoroidal space drug delivery have been explored, although there are still many risks and uncertainties. With the development of technology in the future, suprachoroidal space drug delivery appears to be a promising treatment modality for ocular posterior segment diseases.
Reactive oxygen species (ROS) play an important role in the pathogenesis of various cardiovascular diseases, by leading to cell apoptosis and thus causing organic injuries. Anti-ROS therapy is highly anticipated, but currently, there is still no appropriate prevention method. Studies have shown that thioredoxin (Trx), being a kind of significant endogenous antioxidant system, has excellent antioxidant capacity. Promotion of Trx can reduce key biomolecules to eliminate ROS or regulate many signaling pathways, thus resisting ROS injuries, which may be a new anti-ROS strategy. Therefore, we reviewed the research progress of Trx in cardiac antioxidant therapy to discuss its potential and possibility to be a target for prevention of heart-related ROS injury.