Background: Artificial intelligence has far surpassed previous related technologies in image recognition and is increasingly used in medical image analysis. We aimed to explore the diagnostic accuracy of the models based on deep learning or radiomics for lung cancer staging.
Methods: Studies were systematically reviewed using literature searches from PubMed, EMBASE, Web of Science, and Wanfang Database, according to PRISMA guidelines.
Objectives: Robot-assisted thoracic surgery (RATS) and video-assisted thoracic surgery (VATS) are the two principal minimally invasive surgical approaches for patients with lung cancer. This study aimed at comparing the long-term and short-term outcomes of RATS and VATS for lung cancer.
Methods: A comprehensive search for studies that compared RATS versus VATS for lung cancer published until November 31, 2021, was conducted.
Background: Although minimally invasive pancreaticoduodenectomy has gained worldwide interest, there are limited comparative studies between two minimally invasive pancreaticoduodenectomy techniques. This meta-analysis aimed to compare the safety and efficacy of robotic and laparoscopic pancreaticoduodenectomy (LPD), especially the difference in the perioperative and short-term oncological outcomes.
Methods: PubMed, China National Knowledge Infrastructure (CNKI), Wanfang Data, Web of Science, and EMBASE were searched based on a defined search strategy to identify eligible studies before July 2021.
Long non‑coding RNA Fer‑1‑like protein 4 (FER1L4) has been reported to play crucial regulatory roles in tumor progression and apoptosis. However, its clinical significance and biological role in non‑small cell lung cancer (NSCLC) are completely unknown. The purpose of this study was to investigate the expression of lncRNA FER1L4 in plasma and tissues of patients with NSCLC and study the mechanism of proliferation and apoptosis of lung cancer cells.
View Article and Find Full Text PDFZhongguo Fei Ai Za Zhi
November 2019
Background: The pathogenesis of a ciliated muconodular papillary tumor (CMPT) of the lung is extremely rare which is difficult to distinguish from other lung lesions and it is easy to cause misdiagnosis and missed diagnosis. By collecting CMPT data, its clinical and pathological features can provide medical treatment ideas for the majority of medical workers and reduce medical errors.
Methods: The clinical data, pathological features, immunophenotype of a typical CMPT patient and related literature were analyzed.