Novel strategies utilizing light in the second near-infrared region (NIR-II; 900–1,880 nm
wavelengths) offer the potential to visualize and treat solid tumours with enhanced precision …

Medical imaging plays an indispensable role in evaluating, predicting, and monitoring a
range of medical conditions. Radiomics, a specialized branch of medical imaging, utilizes …

Background Preoperative evaluation of the number of lymph node metastasis (LNM) is the
basis of individual treatment of locally advanced gastric cancer (LAGC). However, the …

Background Accurate prediction of treatment response to neoadjuvant chemotherapy
(NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for …

Background Peritoneal recurrence is the predominant pattern of relapse after curative-intent
surgery for gastric cancer and portends a dismal prognosis. Accurate individualised …

Purpose: We aimed to evaluate the value of deep learning on positron emission tomography
with computed tomography (PET/CT)–based radiomics for individual induction …

Exosomes are a subpopulation of the tumour microenvironment (TME) that transmit various
biological molecules to promote intercellular communication. Exosomes are derived from …

Background Tumor mutational burden (TMB) is a significant predictor of immune checkpoint
inhibitors (ICIs) efficacy. This study investigated the correlation between deep learning …

Peritoneal surface malignancies (PSMs) are usually associated with a poor prognosis.
Nonetheless, in line with advances in the management of most abdominopelvic metastatic …

Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is
crucial in clinic. The presence of collagen in the tumour microenvironment affects the …