View clinical trials related to Multiple Pulmonary Nodules.
Filter by:This study will assess the utility of radiomics and artificial intelligence approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer.
Lung cancer screening is based on low dose CT scan (LDCT), a highly sensitive but poorly specific tool. Complementary specific approaches are thus strongly needed, among which cell-free DNA (cfDNA) genotyping has been proven highly specific but of low sensitivity (25 to 50% for stage I diseases) due to inconstant tumor shed. Tumor biopsy is thus often required and radial endobronchial ultrasound (rEBUS) bronchoscopy is a minimally invasive approach (<3% complications) but of limited sensitivity in cases of nodules < 20 mm. The investigators hypothesized that methylation analysis on cfDNA floating in supernatant derived from rEBUS specimens could improve rEBUS sensitivity
This study aimed to develop a deep-learning model to automatically classify pulmonary nodules based on white-light images and to evaluate the model performance. Besides, suitable operation could be chosen with the help of this model, which could shorten the time of surgery.
Pulmonary nodules diagnosis using breath test of volatile organic compound (VOC) is in its infancy. The accuracy of VOC analysis in diagnosing malignant pulmonary nodules varies cross the published studies. The diagnosis accuracy of VOC alone is generally poor. We speculate that the accuracy of diagnosing malignant pulmonary nodules will be improved by combining breath test with chest computed tomography (CT). This study aims to establish a predictive model of malignant pulmonary nodule using bio-markers from exhaled breath and image-markers from chest CT with retrospective data from multi centers. The sensitivity, specificity and accuracy of the model will be validated prospectively.
Pulmonary nodules are small in size and easy to move with breathing. CT guided puncture is highly dependent on the personal experience of physicians, that is, the accuracy, efficiency and incidence of complications of puncture vary greatly among physicians. Puncture template (PT) assisted CT guided needle biopsy of pulmonary nodules has good clinical feasibility, which is expected to make up for the deficiency of simple CT guided needle biopsy, and make the needle biopsy of pulmonary nodules more accurate and standardized. This study intends to carry out a randomized controlled study to further evaluate the safety and effectiveness of PT assisted CT guided needle biopsy of pulmonary nodules, and provide higher quality data reference for its clinical application. Patients were randomly divided into two groups: PT assisted CT guided or simple CT guided lung biopsy. The operation related information, complications and postoperative pathological results of the two groups were collected. Primary end point: puncture accuracy Secondary end point: success rate of first needle puncture; complication rate (such as pneumothorax, bleeding, etc.); operation time; CT scan times; pathologic findings.
Localization is the key for successful excision of small target nodules under thoracoscopy, but the procedure also brings risks to patients. However, the criteria is still unclear. The investigators will validate the prediction model produced by institutional retrospective analysis in the prospective cohort.
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.
This study evaluates the viability and accuracy of preoperative mixed reality technique combined with three-dimensional printing navigational template guided localizing pulmonary small nodules.
The broad goals of this study is to identify changes in genomic landscape during transition from stage 0 to stage 1 lung cancer. This study intends to determine whether diagnostic biomarkers measured in minimally invasive biospecimens are able to correlate molecular, clinical and imaging features to distinguish malignant from benign pulmonary nodules. The diagnostic markers once validated can be used as broad screening tools for lung cancer.
To collect data on diagnostic yield of thin and ultrathin bronchoscopes with radial probe endobronchial ultrasound (radial EBUS) and transbronchial needle aspiration (TBNA) during routine standard of care bronchoscopy for peripheral pulmonary lesions.