Of the 45 cases of clinically suspected amyloidosis, 32 cases were proven histopathologically as primary cutaneous amyloidosis and confirmed by congo red stain under polarized light which showed apple green birefringence. Among the two types of PCA, lichen amyloidosis was the most common variant accounting to 65.63% with pure cases of macular amyloidosis accounting for only 15.63%. Biphasic amyloidosis was seen in 18.75%. Knee was the commonest site of involvement with pruritis being the most common symptom. Histopathologically, the most common findings were hyperkeratosis, irregular acanthosis and expansion of dermal papillae by amyloid deposits showing apple green birefringence under polarized microscope with congo red staining. Although, H and E stain gives a clue for the diagnosis of amyloid nevertheless congo red staining under polarized light forms a very sensitive and definitive method for confirmation.
Background:Thoracic lesions include a variety of benign and malignant lesions of lung, pleura, chest wall and mediastinum. Transthoracic fine needle aspiration cytology (TFNAC) is a well established technique for work up of thoracic lesions. Computed tomography (CT) has extended the use of FNAC, because it is accurate for localization, needle puncture and above all it permits evaluation of lesions less than 1 cm. This diagnostic modality has a high sensitivity, specificity and is of relatively low cost.Aims:To assess the role of CT-guided FNAC in the diagnosis of thoracic lesions.Materials and Methods:Eighty three patients with various thoracic lesions were evaluated by CT guided FNAC. The cytologic findings were compared with cell blocks whenever available.Results:Conclusive opinion was offered on cytology smears in 80 patients. Lesions of the lung were the most common. Neoplastic lesions in our study accounted for 65% of cases. The sensitivity and specificity of the study were 93.33% and 100%, respectively.Conclusion:CT-guided TFNAC is a low cost, safe, minimally invasive and accurate diagnostic procedure with high sensitivity and specificity and when interpreted in conjunction with clinical and radiological data can prevent some of the pitfalls in diagnosis.
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