A Practical Algorithmic Approach to the Diagnosis and Management of Solitary Pulmonary Nodules Part 2: Pretest Probability and Algorithm

被引:102
作者
Patel, Vishal K. [1 ]
Naik, Sagar K. [1 ]
Naidich, David P. [2 ]
Travis, William D. [3 ]
Weingarten, Jeremy A. [1 ]
Lazzaro, Richard [1 ]
Gutterman, David D. [4 ]
Wentowski, Catherine [1 ]
Grosu, Horiana B. [1 ]
Raoof, Suhail [1 ]
机构
[1] New York Methodist Hosp, Brooklyn, NY 11215 USA
[2] NYU, Langone Med Ctr, New York, NY USA
[3] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
[4] Med Coll Wisconsin, Milwaukee, WI 53226 USA
关键词
GUIDELINES 2ND EDITION; HIGH-RESOLUTION CT; LUNG-CANCER; DIFFERENTIAL DIAGNOSIS; PREOPERATIVE DIAGNOSIS; BRONCHIAL-CARCINOMA; FLEISCHNER-SOCIETY; BAYESIAN-ANALYSIS; GROWTH-RATE; MALIGNANCY;
D O I
10.1378/chest.12-1487
中图分类号
R4 [临床医学];
学科分类号
100218 [急诊医学];
摘要
In this second part of a two-part series, we describe an algorithmic approach to the diagnosis of the solitary pulmonary nodule (SPN). An essential aspect of the evaluation of SPN is determining the pretest probability of malignancy, taking into account the significant medical history and social habits of the individual patient, as well as morphologic characteristics of the nodule. Because pretest probability plays an important role in determining the next step in the evaluation, we describe various methods the physician may use to make this determination. Subsequently, we outline a simple yet comprehensive algorithm for diagnosing a. SPN, with distinct pathways for the solid and subsolid SPN. CHEST 2013; 143(3):840-846
引用
收藏
页码:840 / 846
页数:7
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