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Pictorial essay: multinodular disease: a high-resolution CT scan diagnostic algorithm.

Suhail Raoof·Alexey Amchentsev·Ioannis Vlahos·Ajay Goud·David P Naidich
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Abstract

The evaluation of patients presenting with multinodular pulmonary disease provides an important clinical challenge for physicians. The differential diagnosis includes an extensive list of benign and malignant processes making the management of these cases frequently problematic. With the introduction of high-resolution CT (HRCT) scanning, the ability to assess various patterns of diffuse multinodular disease has evolved into an essential part of the diagnostic process. The purpose of this article is to develop an approach to the diagnosis of multinodular parenchymal disease using HRCT scan pattern recognition as a point of departure.

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AlgorithmsBronchiolitisDiagnosis, DifferentialHumansImage Processing, Computer-AssistedLung DiseasesLung NeoplasmsSarcoidosis, PulmonaryTomography, X-Ray ComputedTuberculosis, MiliaryJournal Article

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BibTeXRIS

Suhail Raoof, Alexey Amchentsev, Ioannis Vlahos, Ajay Goud, David P Naidich. 2006. Pictorial essay: multinodular disease: a high-resolution CT scan diagnostic algorithm.. https://doi.org/10.1378/chest.129.3.805

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