Micronodular Lung Disease an algorithm
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1 Micronodular Lung Disease an algorithm H. Page McAdams, MD Department of Radiology Duke University Medical Center Durham, NC USA
2 Question Which of the following lung diseases is MOST likely to show a perilymphatic distribution of micronodules on thinsection CT? 1. Langerhans cell histiocytosis 2. Airway-disseminated tuberculosis 3. Hypersensitivity pneumonitis 4. Sarcoidosis 5. Respiratory bronchiolitis
3 Definition Rounded opacities < 3- to 5-mm Numerous
4 CT Detection Sliding MIPS improve detection of subtle disease 5-mm thick 1-mm increment
5 CT Detection Coronal
6 CT Detection Coronal disease distribution
7
8 Micronodules
9 Micronodules Distribution
10 Micronodules Distribution Random Perilymphatic Centrilobular
11 Micronodules Distribution Random Perilymphatic Centrilobular
12 Centrilobular Nodules
13 Centrilobular Nodules
14 Micronodules Distribution Random Perilymphatic Centrilobular Ground Glass Solid Tree-in-Bud
15 Micronodules Distribution Random Perilymphatic Centrilobular Ground Glass Solid Tree-in-Bud
16 Solid CL Nodules
17 Solid CL Nodules Silicosis/CWP Pulmonary LCH Infection Aspiration Metastases (rare)
18 Silicosis
19 Silicosis
20 Pulmonary LCH
21 Pulmonary LCH
22 Tree-in-Bud
23 Tree-in-Bud
24 Solid CL Nodules Silicosis/CWP Pulmonary LCH Infection TB, NTMB tree-in-bud viral Aspiration
25 Solid CL Nodules Silicosis/CWP Pulmonary LCH Infection TB, NTMB viral tree-in-bud Aspiration
26 Tree-in-Bud Tuberculosis Aspiration
27 Esophageal Stricture Courtesy Laura Heyneman, MD
28 Esophageal Stricture 6 months s/p PEG
29 Micronodules Distribution Random Perilymphatic Centrilobular Ground Glass Solid Tree-in-Bud
30 CL GG Nodules
31 CL GG Nodules Hypersensitivity pneumonitis Bronchiolitis respiratory infection (viral) Adenocarcinoma (BAC) OP/NSIP Edema/vasculitis
32 Hypersensitivity Pn
33 Bird Fancier s Lung
34 Hypersensitivity Pn Insp Exp
35 Hot Tub Lung Insp Exp
36 Resp Bronchiolitis
37 Resp Bronchiolitis Sliding MIPS
38 Adenocarcinoma
39 Micronodules Distribution Random Perilymphatic Centrilobular Ground Glass Solid Tree-in-Bud
40 Perilymphatic Nodules
41 Perilymphatic Nodules
42 Perilymphatic Nodules
43 Perilymphatic Nodules
44 Perilymphatic Nodules
45 Perilymphatic Nodules Sarcoidosis Lymphangitic carcinomatosis Silicosis/CWP majority Lymphocytic IP (rare) vast majority Amyloidosis (rare)
46 Sarcoidosis
47 Lymphangitic Carc * *
48 Lymphangitic Carc * *
49 Lymphangitic Carc PV MPR
50 Lymphangitic Carc PV Volume Rendered
51 Micronodules Distribution Random Perilymphatic Centrilobular Ground Glass Solid Tree-in-Bud
52 Random Nodules
53 Random Nodules
54 Random Nodules Disseminated infection (miliary) Sarcoidosis Metastatic disease Silicosis, CWP majority Langerhans cell histiocytosis vast majority
55 Histoplasmosis
56 Micronodules Distribution Random Perilymphatic Centrilobular Ground Glass Solid Tree-in-Bud
57 References Beigelman-Aubry C, et al. MDCT and postprocessing techniques in the assessment of diffuse lung disease. Radiographics 2005; 25: Devakonda A, et al. Bronchiolar disorders: a clinical-radiological diagnostic algorithm. Chest 2010; 137: Raoof S, et al. Pictorial essay: Multinodular disease: an HRCT diagnostic algorithm. Chest 2006; 129: Remy-Jardin M, et al. Diffuse infiltrative lung disease: clinical value of sliding-thin-slab maximum intensity projection CT scans in the detection of mild micronodular patterns. Radiology 1996; 200: Sakai M, et al. Can maximum intensity projection images with MDCT help to differentiate between the micronodular distribution of focal and diffuse infiltrative lung diseases? JCAT 2005; 29:
58 Question Which of the following lung diseases is MOST likely to show a perilymphatic distribution of micronodules on thinsection CT? 1. Langerhans cell histiocytosis 2. Airway-disseminated tuberculosis 3. Hypersensitivity pneumonitis 4. Sarcoidosis 5. Respiratory bronchiolitis
59 Micronodular Lung Disease an algorithm H. Page McAdams, MD Department of Radiology Duke University Medical Center Durham, NC USA
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