Objectives Immune microenvironment was closely related to the occurrence and
progression of colorectal cancer (CRC). The objective of the current research was to …

Risk evaluation of lymph node metastasis (LNM) for endoscopically resected submucosal
invasive (T1) colorectal cancers (CRC) is critical for determining therapeutic strategies, but …

Purpose To assess the efficacy of radiomics features obtained by T2-weighted sequences to
predict clinical outcomes following liver resection in colorectal liver metastases patients …

Artificial intelligence (AI), for years, has captured society's imagination and generated
enthusiasm for its potential to improve our lives. Presently, AI already plays an integral role …

Simple Summary Metastatic colorectal cancer (mCRC) has high incidence and mortality.
Nevertheless, innovative biomarkers have been developed for predicting the response to …

Histopathological growth patterns (HGPs) are independent prognosticators for colorectal
liver metastases (CRLM). Currently, HGPs are determined postoperatively. In this study, we …

Objective To evaluate the performance of a deep learning (DL)-based radiomics strategy on
contrast-enhanced computed tomography (CT) to predict microvascular invasion (MVI) …

Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

Rationale and Objectives To use machine learning-based magnetic resonance imaging
radiomics to predict metachronous liver metastases (MLM) in patients with rectal cancer …

Objective Hepatic arterial infusion chemotherapy (HAIC) is an effective treatment for
advanced unresectable colorectal cancer liver metastases (CRLM). This study was …