Purpose This study aimed to explore the efficacy of the computed tomography (CT)
radiomics model for predicting the Ki-67 proliferation index (PI) of pure-solid non-small cell …

Purpose Radiomics is a new technique that enables noninvasive prognostic prediction by
extracting features from medical images. Homology is a concept used in many branches of …

Objectives: To investigate the predictive ability of radiomics signature to predict the
prognosis of early-stage primary lung adenocarcinoma (≤ 3 cm) with no lymph node …

Purposes and Objectives The aim of this study was to predict the progression-free survival
(PFS) in patients with small cell lung cancer (SCLC) by radiomic signature from the contrast …

Background: Radiomics can quantify tumor phenotypic characteristics non-invasively by
applying feature algorithms to medical imaging data. In this study, we investigated the …

Rationale and Objectives To identify whether the radiomics features of computed
tomography (CT) allowed for the preoperative discrimination of the invasiveness of lung …

Background The purpose of the study was to investigate the association between radiomic
features based on contrast‐enhanced multidetector computed tomography (CT) and the Ki …

Background: The aim of this study was to build and validate a radiomics nomogram by
integrating the radiomics features extracted from the CT images and known clinical variables …

(1) Background: Cell proliferation (Ki-67) has important clinical value in the treatment and
prognosis of non-small cell lung cancer (NSCLC). However, current detection methods for Ki …

Background To investigate the effects of computed tomography (CT) reconstruction slice
thickness and contrast‐enhancement phase on the differential diagnosis performance of …