ACR Appropriateness Criteria® Pretreatment Evaluation and Follow-Up of Invasive Cancer of the Cervix: 2023 Update

适宜性标准 子宫颈 医学 适当的使用标准 癌症 医学物理学 肿瘤科 内科学 放射科
作者
Atul B. Shinagare,Kristine S. Burk,Aoife Kilcoyne,Esma A. Akin,Linus Chuang,Nicole Hindman,Chenchan Huang,Gaiane M. Rauch,William Small,Erica B. Stein,Aradhana M. Venkatesan,Stella K. Kang
出处
期刊:Journal of The American College of Radiology [Elsevier]
卷期号:21 (6): S249-S267 被引量:1
标识
DOI:10.1016/j.jacr.2024.02.026
摘要

Cervical cancer is a common gynecological malignancy worldwide. Cervical cancer is staged based on the International Federation of Gynecology and Obstetrics (FIGO) classification system, which was revised in 2018 to incorporate radiologic and pathologic data. Imaging plays an important role in pretreatment assessment including initial staging and treatment response assessment of cervical cancer. Accurate determination of tumor size, local extension, and nodal and distant metastases is important for treatment selection and for prognostication. Although local recurrence can be diagnosed by physical examination, imaging plays a critical role in detection and follow-up of local and distant recurrence and subsequent treatment selection. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
樊念烟发布了新的文献求助10
2秒前
奶味可可发布了新的文献求助10
2秒前
可言发布了新的文献求助10
2秒前
高高的无敌完成签到,获得积分20
3秒前
小小王发布了新的文献求助10
4秒前
快乐蘑菇发布了新的文献求助10
5秒前
5秒前
余小吉发布了新的文献求助10
6秒前
7秒前
7秒前
8秒前
8秒前
8秒前
Hello应助七田皿采纳,获得10
10秒前
wadaxiwa应助风趣不正采纳,获得10
10秒前
10秒前
张小白发布了新的文献求助50
10秒前
10秒前
小小王完成签到,获得积分10
11秒前
远了个方发布了新的文献求助10
11秒前
11秒前
12秒前
12秒前
远了个方发布了新的文献求助10
13秒前
远了个方发布了新的文献求助10
13秒前
13秒前
Flynut发布了新的文献求助10
14秒前
快乐蘑菇完成签到,获得积分20
14秒前
小林太郎应助奶味可可采纳,获得20
14秒前
甜甜若山给甜甜若山的求助进行了留言
15秒前
111完成签到 ,获得积分10
15秒前
15秒前
立军发布了新的文献求助10
15秒前
pl脆脆发布了新的文献求助10
16秒前
16秒前
reflux应助朴素的书琴采纳,获得10
16秒前
16秒前
勒ong发布了新的文献求助10
16秒前
18秒前
柠小檬c发布了新的文献求助10
18秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Comprehensive Computational Chemistry 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3553933
求助须知:如何正确求助?哪些是违规求助? 3129728
关于积分的说明 9384042
捐赠科研通 2828848
什么是DOI,文献DOI怎么找? 1555246
邀请新用户注册赠送积分活动 725940
科研通“疑难数据库(出版商)”最低求助积分说明 715331