Predicting factors of ground-glass lung nodule for growth
نویسندگان
چکیده
منابع مشابه
Approach to the ground-glass nodule.
The detection of ground-glass opacity (GGO) is increasingly common. Sufficient data have been accumulated to formulate recommendations for observation, intervention, and treatment modalities. However, an understanding of many nuances and uncertainties in the available data is needed to avoid making management errors. This article discusses the range of possible entities, risk factors and charac...
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A pulmonary nodule is a single, nearly spherical, well-circumscribed pulmonary opacity up to 30 mm in diameter and surrounded by aerated lung tissue. In radiographs, pulmonary nodules may appear as solid, completely obscuring the lung parenchyma, or as subsolid, not completely obscuring adjacent tissues. A subsolid pulmonary nodule may be further subclassified as a pure ground glass nodule (pGG...
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Early detection of Ground Glass Nodule (GGN) in lung Computed Tomography (CT) images is important for lung cancer prognosis. Due to its indistinct boundaries, manual detection and segmentation of GGN is labor-intensive and problematic. In this paper, we propose a novel multi-level learning-based framework for automatic detection and segmentation of GGN in lung CT images. Our main contributions ...
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There are no accurate data on the diagnostic value of preoperative flexible bronchoscopy (FB) for persistent ground-glass nodule (GGN) of the lung. We evaluated the value of preoperative FB in patients with suspected GGN-type lung cancer. We retrospectively searched a database for subjects who had 'ground-glass opacity', 'non-solid nodule', 'part-solid nodule', or 'sub-solid nodule' on chest co...
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This chapter presents a comprehensive review of the literature related to ground-glass nodules (GGNs) and evaluates effectiveness of RAGF algorithm, proposed by our previous work [45, 46], for pulmonary nodule characterization of GGN cases in the high-resolution computed tomography (HRCT) images. The literature on GGNs in radiology, pathology and medical image analysis are surveyed and discusse...
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ژورنال
عنوان ژورنال: Journal of Thoracic Disease
سال: 2018
ISSN: 2072-1439,2077-6624
DOI: 10.21037/jtd.2018.08.129