منابع مشابه
The Solitary Pulmonary Nodule.
Due to the high etiological diversity and the potential for malignancy, pulmonary nodules represent a clinical challenge, becoming increasingly frequent as the number of CT examinations rises. The topic gains even more importance as clear evidence for the effectiveness of CT screening was provided by the National Lung Screening Trial (NLST). Yet, the results were tempered by the high false-posi...
متن کاملThe Solitary Pulmonary Nodule
From the Center for Pulmonary and Critical Care Medicine, North Shore University Hospital, Manhasset, N.Y. (D.O., A.M.F., S.H.F.); New York University School of Medicine, New York (D.O., S.H.F.); and the State University of New York at Stony Brook, Stony Brook (A.M.F.). Address reprint requests to Dr. Ost at the Center for Pulmonary and Critical Care Medicine, North Shore University Hospital, 3...
متن کاملThe solitary pulmonary nodule.
The radiologic evaluation of the solitary pulmonary nodule (SPN) is a common diagnostic dilemma. Although available clinical data and findings on conventional radiographs are important components in determining the imaging approach to the SPN, evaluation with CT often is necessary for detailed evaluation. This article reviews the radiologist's approach to the evaluation of the SPN, with a parti...
متن کاملRadiographically Detected Solitary Pulmonary Nodule
ACR Appropriateness Criteria 1 Solitary Pulmonary Nodule American College of Radiology ACR Appropriateness Criteria Clinical Condition: Radiographically Detected Solitary Pulmonary Nodule Variant 1: Solid nodule 1 cm, low clinical suspicion for cancer. Radiologic Procedure Rating Comments RRL* CT chest without contrast 8 To detect occult calcifications, fat, bronchus sign, etc. ☢☢☢ FDG-PET/CT ...
متن کاملToward Precise Pulmonary Nodule Descriptors for Nodule Type Classification
A framework for nodule feature-based extraction is presented to classify lung nodules in low-dose CT slices (LDCT) into four categories: juxta, well-circumscribed, vascularized and pleural-tail, based on the extracted information. The Scale Invariant Feature Transform (SIFT) and an adaptation to Daugman's Iris Recognition algorithm are used for analysis. The SIFT descriptor results are projecte...
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ژورنال
عنوان ژورنال: Advances in Respiratory Medicine
سال: 2020
ISSN: 2543-6031,2451-4934
DOI: 10.5603/arm.a2020.0166