Use of artificial intelligence for the prediction of lymph node metastases in early-stage colorectal cancer: systematic review.

Background: Risk evaluation of lymph node metastasis for early-stage (T1 and T2) colorectal cancers is critical for determining therapeutic strategies. Traditional methods of lymph node metastasis prediction have limited accuracy. This systematic review aimed to review the potential of artificial intelligence in predicting lymph node metastasis in early-stage colorectal cancers.

Textbook outcomes for liver resection: can a medium sized centre have acceptable outcomes?

Background: Textbook outcome (TO) is an objective, composite measure of clinical outcomes in surgery. TO in liver surgery has been used in previous international studies to define and compare performance across centres. This study aimed to review TO rates following liver resection at a single institution.

Quality of life in early-onset colorectal cancer patients: systematic review.

Background: There is an increasing incidence of early-onset colorectal cancer; however, the psychosocial impacts of this disease on younger adults have been seldom explored.

Methods: A systematic review was conducted according to the PRISMA guidelines. The Cochrane Central Register of Controlled Trials, MEDLINE, Embase, CINAHL, PubMed, and Scopus were searched, and papers were included if published in English within the last 10 years and if they reported results separately by age (including early-onset colorectal cancer, defined as colorectal cancer diagnosed before the age of 50 years).