标题: |
以人工智能分析为应用目标的肥胖患者上腹部MR图像管理指南(2021) |
title: |
Chinese guideline for data management of upper abdominal magnetic resonance image for artificial intelligent analysis in subjects with obesity(2021) |
版本: |
原创版 |
version: |
Original |
分类: |
专家共识 |
classification: |
Experts consensus |
领域: |
诊断 |
field: |
Diagnosis |
国家和地区: |
中国 |
Country and
region:
|
China |
指南使用者: |
关注肥胖患者和肥胖相关病变(如2型糖尿病、代谢综合征和减肥手术等)的临床研究人员和放射科医生。 |
Guide users:
|
Clinical researchers and radiologists that focus on patients with obesity and obesity related topic, e.g. type 2 diabetes, metabolic syndrome and bariatric surgery. |
证据分级方法: |
GRADE |
Evidence grading
method:
|
|
制定单位: |
北京市医学影像质量控制和改进中心;国家卫生健康委能力建设和继续教育外科学专家委员会减重与代谢外科专业委员会 |
Formulating unit: |
Quality Control and Improvement Center of Medical Imaging; National Health Commission Capacity Building and Continuing Education Center, Chinese College of Metabolic and Bariatric Surgeons |
注册时间: |
2021-06-25 |
Registration time: |
注册编号: |
IPGRP-2021CN177 |
Registration number: |
指南制订的目的: |
本研究旨在规范上腹部MR图像的人工智能分析中,数据采集、使用和存储的方法,以期实现肝PDFF和腹部脂肪组织的自动定量。 |
Purpose of the guideline:
|
We aims to standardize the data acquisition, utilizing and storage for AI system that target to automatic quantification of hepatic PDFF and abdominal adipose tissue. |