The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …

With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …

Purpose Studies based on machine learning-based quantitative imaging techniques have
gained much interest in cancer research. The aim of this review is to critically appraise the …

Background: Due to tumoral heterogeneity and the lack of robust biomarkers, the prediction
of chemoradiotherapy response and prognosis in patients with esophageal cancer (EC) is …

Objective We aimed to develop and validate a radiomics nomogram and determine the
value of radiomic features from lymph nodes (LNs) for predicting pathological complete …

Nasopharyngeal carcinoma (NPC) is one of the most common head and neck cancers. Early
diagnosis plays a critical role in the treatment of NPC. To aid diagnosis, deep learning …

Background Lymph node status is vital for prognosis and treatment decisions for
esophageal squamous cell carcinoma (ESCC). This study aimed to construct and evaluate …

Background Definitive chemoradiotherapy (dCRT) is a standard treatment option for locally
advanced stage inoperable esophageal squamous cell carcinoma (ESCC). Evaluating …

Background Ovarian preservation treatment (OPT) was recommended in young women with
early-stage endometrial cancer [superficial myometrial invasion (MI) and grades (G) 1/2 …