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Nodular pattern 1. Hypersensitivity pneumonitis: ill defined centrilobular nodules. 2. Miliary TB: random nodules 3. Sarcoidosis: nodules with perilymphatic
pneumonitis: ill defined centrilobular ... Hypersensitivity pneumonitis: centrilobular ... Nodular #Pattern #Comparison
Low Attenuation pattern (2) 1. Centrilobular emphysema: low attenuation areas without walls. Notice the centrilobular artery
Centrilobular emphysema ... Notice the centrilobular ... Cystic #Pattern #Comparison
On the left some diseases with a nodular pattern. 1. Hypersensitivity pneumonitis: ill defined centrilobular nodules. 2. Miliary
pneumonitis: ill defined centrilobular ... Hypersensitivity pneumonitis: centrilobular ... bronchiolitis: ill defined centrilobular ... #Differential #Comparison
The distribution of nodules shown on HRCT is the most important factor in making an accurate
perilymphatic, centrilobular ... Centrilobular distribution ... limited to the centrilobular ... random nodules, centrilobular ... Perilymphatic #Comparison
Differential diagnosis of Langerhans cell histiocytosis. Nodular LCH: - Sarcoidosis: perilymphatic distribution. - Metastases: random distribution. Cystic LCH: - LAM: round
. - Centrilobular ... #Differential #Comparison
Low Attenuation pattern 1. Lymphangiomyomatosis (LAM): uniform cysts in woman of child-bearing age; no history of
Centrilobular emphysema ... Cystic #Pattern #Comparison
UIP with honeycombing (left) and chronic HP (right) Differential diagnosis of Hypersensitivity Pneumonitis. Subacute stage: - RB-ILD: seen in
associated with centrilobular ... #CTChest #UIP #Comparison
Tree-in-bud In centrilobular nodules the recognition of 'tree-in-bud' is of value for narrowing the differential diagnosis. Tree-in-bud describes
Tree-in-bud In centrilobular ... or pus-filled) centrilobular
Tree in Bud Sign The Tree-in-Bud sign represents Endobronchial spread in a linear branching pattern and centrilobular
branching pattern and centrilobular ... surrounded by centrilobular
Algorithm for nodular pattern The algorithm to distinguish perilymphatic, random and centrilobular nodules is the following: - Look
perilymphatic, random and centrilobular ... distribution is likely centrilobular
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