Publications by authors named "Yan-di Lu"
Background: Endoscopic resection (ER) and laparoscopic resection (LR) have been widely used for the treatment of non-metastatic gastric gastrointestinal stromal tumors (gGISTs) (2-5 cm), but there are no selection criteria for their application.
Aim: To provide a reference for the development of standardized treatment strategies for gGISTs.
Methods: Clinical baseline characteristics, histopathological results, and short-term and long-term outcomes of patients who treated with ER or LR for gGISTs of 2-5 cm in Taizhou Hospital of Zhejiang Province from January 2014 to August 2022 were retrospectively reviewed.
Article Synopsis
- Endoscopy is crucial for detecting esophageal squamous cell carcinoma and precancerous lesions, but improving detection rates is still a challenge.
- A new system using deep convolutional neural networks (CNNs) was developed and tested to enhance the detection of high-risk esophageal lesions (HrELs) during endoscopy, and showed significant improvement in detection rates.
- In a clinical trial with over 3,100 patients, the CNN-assisted endoscopy group had a HrEL detection rate of 1.8%, compared to 0.9% in the control group, demonstrating greater sensitivity, specificity, and accuracy without any adverse events.
Anoikis, a mechanism of programmed apoptosis, plays an important role in growth and metastasis of tumors. However, there are still few available comprehensive reports on the impact of anoikis on colorectal cancer. A clustering analysis was done on 133 anoikis-related genes in GSE39582, and we compared clinical features between clusters, the tumor microenvironment was analyzed with algorithms such as "Cibersort" and "ssGSEA".
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