Lung Adenocarcinoma Clinical Trial
Official title:
Derivation and Validation of a Scoring System to Distinguish Cryptococcosis and Adenocarcinoma in Pulmonary Nodules: a Multicenter Observational Study.
Pulmonary cryptococcosis often manifests as isolated or multiple nodules, easily mimicking lung cancer clinically and radiologically, which ascribes the poor sensitivity of Cryptococcus culture and rarely positive of Cryptococcal antigen test in the absence of disseminated disease. Therefore, the aim of this study was to develop a predictive scoring system from the perspective of available clinical indicators, to differentiate cryptococcosis from adenocarcinoma in pulmonary nodules, which might be beneficial for the delicacy management of pulmonary nodules.
Nodule is generally defined as a small, approximately spherical in morphology, circumscribed
focus of abnormal tissue on computed tomography (CT) and no greater than 3cm in maximum
diameter. Pulmonary nodules are not uncommon. A systematic review of CT screening lung cancer
trials noted that a lung nodule was detected in up to 51% of study participants. More than
95% of detected nodules are benign and have a wide variety of causes, including infections,
granulomatous disease, hamartomas, arteriovenous malformations, round atelectasis, and lymph
nodes.
Pulmonary cryptococcosis is caused by Cryptococcus spp., a ubiquitous budding yeast-like
basidiomycete that is endemic in many countries. Previously, Pulmonary cryptococcosis was
thought to be an important opportunistic invasive mycosis in immunocompromised patients, such
as AIDS, immunosuppressor used after organ transplantation, but it is also common in
immunocompetent patients. Pulmonary cryptococcosis often manifests as isolated or multiple
nodules, easily mimicking lung cancer clinically and radiologically, which ascribes the poor
sensitivity of Cryptococcus culture and rarely positive of Cryptococcal antigen test in the
absence of disseminated disease.
Therefore, the aim of this multicenter observational study was to develop a predictive
scoring system from the perspective of available clinical indicators, to differentiate
cryptococcosis from adenocarcinoma in pulmonary nodules, which might be beneficial for the
delicacy management of pulmonary nodules.
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