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Wanchain dapp network beta launch update .[Thoracoscopy: from bronchoscopy to therapeutic perspective].
Thoracoscopy is an increasingly used, but still poorly developed, technique. Its first application was in treatment of solitary pulmonary nodule; it was later extended to many indications. Thoracoscopy is performed after local anaesthesia, gives a high sensibility, and allows pathologic assessment of the lobe or lobe segment and intraoperative specimen sampling. Thoracoscopic surgery is more and more accepted because it is often less invasive than traditional surgery and is more rapidly performed. The complexity of lesions is often related to the side of the nodule, the often associated carcinoid syndrome, and carcinoma or hamartoma. The principal problem is selection of patients to undergo this method; this decision depends on tumoral risk, as well as cost and quality of life after surgery. In general, a nodule with a diameter >20 mm is a technical indication. A recent meta-analysis concluded that when indicated, thoracoscopy is safer than the traditional approach. Thoracoscopy appears to be superior to video-assisted thoracoscopy in terms of minor intraoperative or postoperative morbidity, especially in the case of benign lesions, and cost-effective for selected high-risk patients with non-small-cell lung cancer.Existing review systems, such as Google Search and other search engines, use a variety of different methods to provide an estimate of a user’s perspective of quality of a searchable result.
The search engine processes a search query submitted by a user, retrieves references that satisfy the search query from a searchable result database, and returns the references to the user. Current search engine ranking systems utilize a variety of methods to estimate quality of references.
Content-based (CB) ranking assumes that references which are likely to be highly relevant to a search query are more likely to be considered relevant to the user of the search engine. This may be based on semantic relations defined on the basis of textual content of a reference. A first step in CB ranking is to identify the textual content of each reference in the searchable result database, which may be performed using the URL information or automatically based on the HTML content of the reference. The search engine then uses text-matching algorithms to measure semantic similarity between each reference and the search

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