5 results
Algorithm for nodular pattern
The algorithm to distinguish perilymphatic, random and centrilobular nodules is the following:
- Look
Algorithm for nodular ... pattern The algorithm ... distribution. - ... #Diagnosis #Radiology ... #Pulmonary #HRCT
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 ... #Diagnosis #Radiology ... #Pulmonary #HRCT
Upper lung zone preference is seen in:
- Inhaled particles: pneumoconiosis (silica or coal)
- Smoking related diseases
Upper lung zone ... bronchiolitis (RB-ILD ... edema #Diagnosis ... #Radiology #Pulmonary ... #HRCT #ChestCT
Basic Interpretation
A structured approach to interpretation of HRCT involves the following questions:
What is the dominant HR-pattern:
reticular
nodular
high
centrilobular, perilymphatic ... bronchiectasis) #Diagnosis ... #Radiology #Pulmonary ... Interpretation #Algorithm ... #ILD #RadiologyAssistant
Differential diagnosis of the reversed halo sign (RHS). AIA, angioinvasive aspergillosis; AIS, adenocarcinoma in situ; COP,
reversed halo sign ... small nodules with perilymphatic ... distribution. ... #Diagnosis #Pulmonary ... #Differential #Algorithm