Pulmonary Nodule Detection, Characterization, and Management With Multidetector Computed Tomography

被引：102

作者：

Brandman, Scott ^{[1
]}

Ko, Jane P. ^{[1
]}

机构：

[1] NYU, Langone Med Ctr, Dept Radiol, Div Thorac Imaging, New York, NY 10016 USA

来源：

JOURNAL OF THORACIC IMAGING | 2011年 / 26卷 / 02期

关键词：

pulmonary nodule; computer-aided diagnosis; volume; dual energy; management; GROUND-GLASS OPACITY; DUAL-ENERGY CT; INTENSITY-PROJECTION IMAGES; AIDED DETECTION SYSTEM; CELL LUNG-CANCER; THIN-SECTION CT; BRONCHIOLOALVEOLAR CARCINOMA; ROW CT; RADIOGRAPHIC FINDINGS; VOLUME MEASUREMENTS;

D O I：

10.1097/RTI.0b013e31821639a9

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

100231 [临床病理学]; 100902 [航空航天医学];

摘要：

Pulmonary nodule detection and characterization continue to improve with technological advancements. The noninvasive methods available for assisting in nodule detection and for characterizing nodules as benign, malignant, or indeterminate will be discussed. Evidence-based guidelines will be reviewed to help guide the appropriate management of pulmonary nodules.

引用

页码：90 / 105

页数：16

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