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

Vishal K. Patel; Sagar K. Naik; David P. Naidich; William D. Travis; Jeremy A. Weingarten; Richard Lazzaro; David D. Gutterman; Catherine Wentowski; Horiana B. Grosu; Suhail Raoof

doi:10.1378/chest.12-1487

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

Vishal K. Patel, Sagar K. Naik, David P. Naidich, William D. Travis, Jeremy A. Weingarten, Richard Lazzaro, David D. Gutterman, Catherine Wentowski, Horiana B. Grosu, Suhail Raoof

Research output: Contribution to journal › Article › peer-review

83 Scopus citations

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.

Original language	English (US)
Pages (from-to)	840-846
Number of pages	7
Journal	Chest
Volume	143
Issue number	3
DOIs	https://doi.org/10.1378/chest.12-1487
State	Published - Mar 2013
Externally published	Yes

ASJC Scopus subject areas

Pulmonary and Respiratory Medicine
Critical Care and Intensive Care Medicine
Cardiology and Cardiovascular Medicine

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10.1378/chest.12-1487

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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.",

author = "Patel, {Vishal K.} and Naik, {Sagar K.} and Naidich, {David P.} and Travis, {William D.} and Weingarten, {Jeremy A.} and Richard Lazzaro and Gutterman, {David D.} and Catherine Wentowski and Grosu, {Horiana B.} and Suhail Raoof",

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doi = "10.1378/chest.12-1487",

language = "English (US)",

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AU - Patel, Vishal K.

AU - Naik, Sagar K.

AU - Naidich, David P.

AU - Travis, William D.

AU - Weingarten, Jeremy A.

AU - Lazzaro, Richard

AU - Gutterman, David D.

AU - Wentowski, Catherine

AU - Grosu, Horiana B.

AU - Raoof, Suhail

PY - 2013/3

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AB - 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.

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

Abstract

ASJC Scopus subject areas

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