Spots Global Cancer Trial Database for Prediction Model for Multiple Pulmonary Nodules

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Trial Identification

Brief Title: Prediction Model for Multiple Pulmonary Nodules

Official Title: Prediction Model for Multiple Pulmonary Nodules

Study ID: NCT03795181

Conditions

Multiple Pulmonary Nodules

Interventions

Study Description

Brief Summary: This study compares the sensitivity, specificity and accuracy of radiologists, thoracic surgeons and a predictive model (PKUM model) to discriminate malignancy from benign nodules in patients with multiple pulmonary nodules.

Detailed Description: It is clinically difficult to diagnose and manage patients with multiple pulmonary nodules (MPNs). We have developed a web-based mathematic model (PKUM model) by using a multi-centric database from three institutions (Peking University People's Hospital, Haidian Section of Peking University Third Hospital, People's Hospital Affiliated to Hebei Medical University) to predict the probability of a nodule to be malignant in patients with MPNs. This prospectively observational study will recruit patients with MPNs between January 2019 and March 2019, allowing radiologists, surgeons, and a predictive model (PKUM model) to discriminate malignancy from benign nodules, and compare their sensitivity, specificity, and accuracy.