Predicting the Proliferation of Tongue Cancer With Artificial Intelligence in Contrast-Enhanced CT.

ABSTRACT: Tongue squamous cell carcinoma (TSCC) is the most common oral malignancy. The proliferation status of tumor cells as indicated with the Ki-67 index has great impact on tumor microenvironment, therapeutic strategy making, and patients' prognosis. However, the most commonly used method to obtain the proliferation status is through biopsy or surgical immunohistochemical staining. Noninvasive method before operation remains a challenge. Hence, in this study, we aimed to validate a novel method to predict the proliferation status of TSCC using contrast-enhanced CT (CECT) based on artificial intelligence (AI). CECT images of the lesion area from 179 TSCC patients were analyzed using a convolutional neural network (CNN). Patients were divided into a high proliferation status group and a low proli

SUBMITTER: Sun TG 

PROVIDER: S-EPMC9026338 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature