How to cite item

Higher rate of colon polyp detection aided by an artificial intelligent software

  
@article{TGH4789,
	author = {Masaaki Iwatsuki and Kazuto Harada and Hideo Baba and Jaffer A. Ajani},
	title = {Higher rate of colon polyp detection aided by an artificial intelligent software},
	journal = {Translational Gastroenterology and Hepatology},
	volume = {3},
	number = {0},
	year = {2018},
	keywords = {},
	abstract = {Colorectal cancer (CRC) is one of the most common malignancies in the United States and Europe (1,2). Detection and removal of colon polyps or early cancer is associated with a reduction in mortality from CRC (3). The adenoma detection rate (ADR) during screening colonoscopy is recommended as a measure of the quality of colonoscopic examination. Corley et al. reveled that a 1% increase in the ADR was associated with a 3% decrease in interval CRC incidence (4). More recently, a prospective study from Poland et al. showed 1% increase in the ADR was associated with a 6% reduced risk of interval CRC (5). However, the ADR varies widely, largely depending on the ability of gastroenterologist, time spent, and preparation quality. Unfortunately, adenoma miss rate remains high (6–27%) (6), despite of novel technologies, devises, and interpretation. It is partly because of well recognized blind spots on colonoscopies.},
	issn = {2415-1289},	url = {https://tgh.amegroups.org/article/view/4789}
}