清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Radiomics systematic review in cervical cancer: gynecological oncologists’ perspective

医学 无线电技术 宫颈癌 放射科 透视图(图形) 妇科 医学物理学 梅德林 癌症 内科学 人工智能 政治学 计算机科学 法学
作者
Nicolò Bizzarri,Luca Russo,Miriam Dolciami,Konstantinos Zormpas‐Petridis,Luca Boldrini,Denis Querleu,Gabriella Ferrandina,Luigi Pedone Anchora,Benedetta Gui,Evis Sala,Giovanni Scambia
出处
期刊:International Journal of Gynecological Cancer [BMJ]
卷期号:33 (10): 1522-1541 被引量:20
标识
DOI:10.1136/ijgc-2023-004589
摘要

Objective Radiomics is the process of extracting quantitative features from radiological images, and represents a relatively new field in gynecological cancers. Cervical cancer has been the most studied gynecological tumor for what concerns radiomics analysis. The aim of this study was to report on the clinical applications of radiomics combined and/or compared with clinical-pathological variables in patients with cervical cancer. Methods A systematic review of the literature from inception to February 2023 was performed, including studies on cervical cancer analysing a predictive/prognostic radiomics model, which was combined and/or compared with a radiological or a clinical-pathological model. Results A total of 57 of 334 (17.1%) screened studies met inclusion criteria. The majority of studies used magnetic resonance imaging (MRI), but positron emission tomography (PET)/computed tomography (CT) scan, CT scan, and ultrasound scan also underwent radiomics analysis. In apparent early-stage disease, the majority of studies (16/27, 59.3%) analysed the role of radiomics signature in predicting lymph node metastasis; six (22.2%) investigated the prediction of radiomics to detect lymphovascular space involvement, one (3.7%) investigated depth of stromal infiltration, and one investigated (3.7%) parametrial infiltration. Survival prediction was evaluated both in early-stage and locally advanced settings. No study focused on the application of radiomics in metastatic or recurrent disease. Conclusion Radiomics signatures were predictive of pathological and oncological outcomes, particularly if combined with clinical variables. These may be integrated in a model using different clinical-pathological and translational characteristics, with the aim to tailor and personalize the treatment of each patient with cervical cancer.
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
麦冬粑粑完成签到,获得积分10
15秒前
可夫司机完成签到 ,获得积分10
28秒前
Imran完成签到,获得积分10
33秒前
Yas完成签到,获得积分10
41秒前
ceeray23发布了新的文献求助20
41秒前
1分钟前
12344555完成签到,获得积分10
1分钟前
科研通AI6.2应助12344555采纳,获得10
1分钟前
xsx驳回了科目三应助
1分钟前
mellow完成签到,获得积分10
1分钟前
深情安青应助科研通管家采纳,获得10
1分钟前
小玉瓜完成签到,获得积分10
2分钟前
2分钟前
xiaogui发布了新的文献求助30
2分钟前
领导范儿应助淡淡菠萝采纳,获得10
2分钟前
忆茶戏完成签到 ,获得积分10
2分钟前
2分钟前
淡淡菠萝发布了新的文献求助10
2分钟前
3分钟前
3分钟前
老老熊完成签到,获得积分10
4分钟前
Ttimer发布了新的文献求助10
4分钟前
Gydl完成签到,获得积分10
4分钟前
4分钟前
CodeCraft应助xiaogui采纳,获得10
5分钟前
KINGAZX完成签到 ,获得积分10
5分钟前
自然的含蕾完成签到 ,获得积分10
6分钟前
Everything完成签到,获得积分10
6分钟前
6分钟前
6分钟前
xiaogui完成签到,获得积分10
7分钟前
7分钟前
彭于晏应助科研通管家采纳,获得10
7分钟前
科研通AI2S应助科研通管家采纳,获得10
7分钟前
poki完成签到 ,获得积分10
7分钟前
8分钟前
8分钟前
湖以完成签到 ,获得积分10
8分钟前
633完成签到 ,获得积分10
8分钟前
安详的冷安完成签到,获得积分10
8分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 1100
3O - Innate resistance in EGFR mutant non-small cell lung cancer (NSCLC) patients by coactivation of receptor tyrosine kinases (RTKs) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Proceedings of the Fourth International Congress of Nematology, 8-13 June 2002, Tenerife, Spain 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5936104
求助须知:如何正确求助?哪些是违规求助? 7024723
关于积分的说明 15862521
捐赠科研通 5065137
什么是DOI,文献DOI怎么找? 2724478
邀请新用户注册赠送积分活动 1682407
关于科研通互助平台的介绍 1611581