High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules.
Abstract
To investigate whether 3D convolutional neural network (CNN) is able to enhance the classification performance of radiologists in classifying pulmonary non-solid nodules (NSNs). Data of patients with solitary NSNs and diagnosed as adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IAC) in pathological after surgical resection were analyzed retrospectively. Ultimately, 532 patients in our institution were included in the study: 427 cases (144 AIS, 167 MIA, 116 IAC) were assigned to training dataset and 105 cases (36 AIS, 41 MIA and 28 IAC) were assigned to validation dataset. For external validation, 177 patients (60 AIS, 69 MIA and 48 IAC) from another hospital were assigned to testing dataset. The clinical and morphological characteristics of NSNs were established as radiologists' model. The trained classification model based on 3D CNN was used to identify NSNs types automatically. The evaluation and comparison on classification performance of the two models and CNN + radiologists' model were performed via receiver operating curve (ROC) analysis and integrated discrimination improvement (IDI) index. The Akaike information criterion (AIC) was calculated to find the best-fit model....Continue Reading
References
Related Concepts
Related Feeds
Breast Invasive Carcinoma
Invasive breast cancers indicate a spread into breast tissues and lymph nodes. Here are the latest discoveries pertaining to breast invasive carcinomas.
Carcinoma, Ductal
Ductal carcinoma is a malignant neoplasm involving the ductal systems of any of a number of organs, such as the mammary glands, pancreas, prostate or lacrimal gland. Discover the latest research on ductal carcinoma here.
Breast Invasive Carcinoma (Keystone)
Invasive breast cancers indicate a spread into breast tissues and lymph nodes. Here are the latest discoveries pertaining to breast invasive carcinomas.