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Algorithm for nodular pattern
The algorithm to distinguish perilymphatic, random and centrilobular nodules is the following:
- Look
to distinguish perilymphatic ... distribution. - ... #Diagnosis #Radiology ... #Pulmonary #HRCT ... #CTChest #NodularPattern
The distribution of nodules shown on HRCT is the most important factor in making an accurate
nodules shown on HRCT ... Perilymphatic distribution ... structures of the lung ... #Pulmonary #HRCT ... #NodularPattern
On the left some diseases with a nodular pattern.
1. Hypersensitivity pneumonitis: ill defined centrilobular nodules.
2. Miliary
distribution, along ... #Clinical #Diagnosis ... #Radiology #Pulmonary ... Nodular #Pattern #NodularPattern ... Differential #Comparison #Table
Upper lung zone preference is seen in:
- Inhaled particles: pneumoconiosis (silica or coal)
- Smoking related diseases
Upper lung zone ... edema #Diagnosis ... #HRCT #ChestCT ... #Differential #Table ... #Distribution #
Figure 3 HRCT-LUS correlation in normal lung, pulmonary congestion, rheumatoid lung disease, idiopathic pulmonary fibrosis.
Notes: (A)
Figure 3 HRCT-LUS ... , pulmonary congestion ... #Clinical #Diagnosis ... #HRCT #POCUS #Lung ... #Correlation #Table