Expert consensus on the application of rectal cancer staging recognition system based on artificial intelligence platform (2020 edition)

Title: Expert consensus on the application of rectal cancer staging recognition system based on artificial intelligence platform (2020 edition)
Edition: Original
Classification: Experts consensus
Field: Comprehensive guideline
Countries and regions: China
Guidelines users: colorectal surgeons
Evidence classification method: Grade A recommendation: Good scientific evidence suggests that the benefits of this medical practice substantially outweigh the potential risks. The clinician should discuss the medical practice with the applicable patient; Grade B recommendation: at least moderate evidence suggests that the benefits of the medical practice outweigh the potential risks. The clinician should discuss the medical behavior with the appropriate patient; Grade C recommendation: At least reasonable scientific evidence suggests that the medical practice provides benefits, but the benefits are too close to the risks to make a general recommendation. The clinician is not required to provide this medical practice unless there are some individual considerations; Grade D recommendation: at least reasonable scientific evidence suggests that the potential risks of the medical practice outweigh the potential benefits; Clinicians should not routinely perform this medical practice on asymptomatic patients; Level I recommendation: The medical practice lacks scientific evidence, or the evidence is of poor quality, or is conflicting, such as risks and benefits that cannot be measured and assessed. The clinician should help the patient understand the uncertainty of the medical practice.
Development unit: Colorectal Surgery Group of the Surgery Branch in the Chinese Medical Association; Beihang University State Key Laboratory of Virtual Reality Technology and Systems
Registration time: 2020-11-03
Registration number: IPGRP-2020CN171
Purpose of the guideline: Colorectal cancer is the most common malignant tumor in the world. Statistics from the International Cancer Research Center show that colorectal cancer ranks the third in global cancer incidence rate and the second in mortality rate. Domestically, these two indicators are ranked third and fifth respectively. The treatment of colorectal cancer, especially rectal cancer, is based on the rapid development of imaging technology, whether surgical treatment or neoadjuvant chemoradiotherapy, imaging evaluation has become an important basis for the formulation of treatment plans. But the imaging results of reading needs a large number of experienced radiologists to complete, will cause uneven distribution of shortages of personnel and the imaging results of delays and bias, so the artificial intelligence technology combined with imaging, independent research and development based on artificial intelligence platform, automatic recognition of colorectal cancer staging practitioner's work aims to partly replace image, achieve rapid and accurate identification of colorectal cancer staging.