Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …

Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy
enables personalised perioperative therapy for locally advanced rectal cancer. We aimed to …

Background Preoperative assessment of pathologic complete response (pCR) in locally
advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (nCRT) is …

Radiographic imaging is routinely used to evaluate treatment response in solid tumors.
Current imaging response metrics do not reliably predict the underlying biological response …

Purpose: We evaluated the performance of the newly proposed radiomics of multiparametric
MRI (RMM), developed and validated based on a multicenter dataset adopting a radiomic …

Background Occult peritoneal metastasis (PM) in advanced gastric cancer (AGC) patients is
highly possible to be missed on computed tomography (CT) images. Patients with occult …

Rectal cancer is prone to local recurrence and systemic metastasis. However, owing to
improvements in TNM staging and treatment, including a more widespread use of rectal MRI …

Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

Objectives To evaluate radiomics studies according to radiomics quality score (RQS) and
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …