A practical algorithmic approach to the diagnosis and management of solitary pulmonary nodules: Part 2: Pretest probability and algorithm Journal Article


Authors: Patel, V. K.; Naik, S. K.; Naidich, D. P.; Travis, W. D.; Weingarten, J. A.; Lazzaro, R.; Gutterman, D. D.; Wentowski, C.; Grosu, H. B.; Raoof, S.
Article Title: A practical algorithmic approach to the diagnosis and management of solitary pulmonary nodules: Part 2: Pretest probability and algorithm
Abstract: 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. © 2013 American College of Chest Physicians.
Journal Title: Chest
Volume: 143
Issue: 3
ISSN: 0012-3692
Publisher: American College of Chest Physicians  
Date Published: 2013-03-01
Start Page: 840
End Page: 846
Language: English
DOI: 10.1378/chest.12-1487
PROVIDER: scopus
PUBMED: 23460161
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 1 April 2013" - "CODEN: CHETB" - "Source: Scopus"
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  1. William D Travis
    743 Travis