Pictorial essay: multinodular disease: a high-resolution CT scan diagnostic algorithm.
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.
Pulmonary and Critical Care Medicine, Respiratory Therapy Department, Pulmonary Division, New York Methodist Hospital, 506 Sixth Street, Brooklyn, NY 11215, USA. Sur9016@nyp.org
Suhail
S
Raoof
Alexey
A
Amchentsev
Ioannis
I
Vlahos
Ajay
A
Goud
David P
DP
Naidich
D000465:Algorithms; D001988:Bronchiolitis / Q000000981:diagnostic imaging; D003937:Diagnosis, Differential; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008171:Lung Diseases / Q000000981:diagnostic imaging*; D008175:Lung Neoplasms / Q000000981:diagnostic imaging; D017565:Sarcoidosis, Pulmonary / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014391:Tuberculosis, Miliary / Q000000981:diagnostic imaging