Results 21 to 30 of about 645,757 (162)
‘The Thing is Not Knowing’: Patients\u27 Perspectives on Surveillance of an Indeterminate Pulmonary Nodule [PDF]
Background: The hundreds of thousands of patients found to have a potentially malignant pulmonary nodule each year are faced with tremendous uncertainty regarding what the nodule is and how it should be evaluated.
Clark, Jack +4 more
core +1 more source
Introduction The utilisation of chest CT for the evaluation of pulmonary disorders, including low-dose CT for lung cancer screening, is increasing in the USA.
Matthew T Koroscil +4 more
doaj +1 more source
Patient and baseline pulmonary nodule characteristics in veterans age ≥65 with newly diagnosed pulmonary nodule(s) by diagnosis year group (N = 689).
Melisa L. Wong (5558864) +8 more
core +1 more source
Peripheral pulmonary artery aneurysm presenting as a solitary pulmonary nodule [PDF]
We report the case of a 63-year-old female patient who was evaluated due to a solitary pulmonary nodule. The final diagnosis was a solitary peripheral pulmonary artery saccular aneurysm.
Mauro Federico Luis Tamagno +3 more
core +1 more source
Pulmonary Actinomycosis Revealed by a Solitary Pulmonary Nodule
Background. Pulmonary actinomycosis (PA) is a rare and ubiquitous bacterial disorder, combining subacute or chronic focal suppuration and an expansive fibrogranulomatous lesion. Lung involvement is rare. The radioclinical manifestations of this infection
Benali Rachid +3 more
core +1 more source
Impact of Deep Learning 3D CT Super-Resolution on AI-Based Pulmonary Nodule Characterization
Background/Objectives: Correct pulmonary nodule volumetry and categorization is paramount for accurate diagnosis in lung cancer screening programs. CT scanners with slice thicknesses of multiple millimetres are still common worldwide, and slice thickness
Dongok Kim, Chulkyun Ahn, Jong Hyo Kim
doaj +1 more source
Semantic characteristic grading of pulmonary nodules based on deep neural networks
Background Accurate grading of semantic characteristics is helpful for radiologists to determine the probabilities of the likelihood of malignancy of a pulmonary nodule.
Caixia Liu, Ruibin Zhao, Mingyong Pang
doaj +1 more source
Distribution of pulmonary nodule size in the LUNA16 dataset.
Distribution of pulmonary nodule size in the LUNA16 dataset.
Yihao Xue (6948803) +2 more
core +1 more source
ROLE OF LUNG POINT NAVIGATION BRONCHOSCOPY IN THE DIAGNOSIS OF PULMONARY NODULE [PDF]
Background: Pulmonary nodules are one of the most common thoracic imaging abnormalities. A revised estimate of over 1 million nodules are detected each year as an incidental finding, either on chest radiographs or thoracic computed tomography (CT) scans ...
Mohamed El-sayed +3 more
doaj +1 more source
Application of intraoperative chest wall localization in pulmonary nodule surgery
Background and purpose: The purpose of this study was to explore a simple, safe, accurate and noninvasive method for intraoperative localization of pulmonary nodules, so as to provide reference for more surgeons and benefit more patients with pulmonary ...
方仁秀 +5 more
doaj

