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Lung nodules
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== Imaging == * Risk factors for cancer ** Nodule diameter ** Spiculation/irregular/lobulated ** Upper lobe location ** Growth rate ** Calcification pattern *** Benign = diffuse, central, laminated *** Popcorn pattern = hamartoma **** *** Indeterminate = punctate, eccentric, or amorphous ** Contrast enhancement (>20HU is likely malignant, <15HU is likely benign) ** Metabolic activity on PET ** Air bronchograms and pseudocavitation - often malignant *** * Other factors ** Fat-containing nodules are virtually always benign (hamartomas) - malignancies could theoretically be lipomas or RCC mets but very rare ** Benign features - well-defined, smooth, round ** Pulmonary lymph nodes - small, solid, polygonal, perifissural, oval, pleural/septal/vessel attachment ** Halo and reverse halo signs are non-specific and can be seen in both benign and malignant lesions * Classification ** Solid ** Subsolid *** Subtypes **** Pure ground-glass nodules **** Part-solid/mixed nodules *** Many subsolid nodules are inflammatory *** Persistent ground-glass lesions carry a high risk of neoplasm *** Mixed nodules are highest risk, with a higher solid component meaning higher risk of invasive cancer ** * CT without contrast, thin slice ** 8-51% of CT shows a lung nodule ** Features *** Size *** Attenuation *** Growth or stable size **** Growing nodules (>2mm) should be examined pathologically *** Calcification and fat * PET ** Best way to evaluate metabolism of indeterminate nodules ** Solid nodules measuring >8mm that are not FDG avid are likely to be benign ** SUV >2.5 is typically used to detect lesions with a high probability of malignancy ** Not as good for subsolid nodules - be aware that slow-growing tumours (adenocarcinomas, carcinoids, low-grade lymphomas, metastases from renal cell carcinoma and mucinous neoplasms) can show little glucose uptake ** Inflammatory lesions are difficult to differentiate from malignant processes on PET
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