The evolution of image guidance in robotic-assisted laparoscopic prostatectomy (RALP): a glimpse into the future

医学 机械人手术 光学相干层析成像 增强现实 前列腺切除术 影像引导手术 机器人学 腹腔镜手术 成像技术 腹腔镜前列腺根治术 人工智能 医学物理学 外科 腹腔镜检查 放射科 前列腺癌 机器人 计算机科学 癌症 内科学
作者
Joshua Makary,Daniëlle C. van Diepen,Ranjan Arianayagam,George McClintock,J. Fallot,Scott Leslie,Ruban Thanigasalam
出处
期刊:Journal of Robotic Surgery [Springer Science+Business Media]
卷期号:16 (4): 765-774 被引量:11
标识
DOI:10.1007/s11701-021-01305-5
摘要

To describe the innovative intraoperative technologies emerging to aid surgeons during minimally invasive robotic-assisted laparoscopic prostatectomy. We searched multiple electronic databases reporting on intraoperative imaging and navigation technologies, robotic surgery in combination with 3D modeling and 3D printing used during laparoscopic or robotic-assisted laparoscopic prostatectomy. Additional searches were conducted for articles that considered the role of artificial intelligence and machine learning and their application to robotic surgery. We excluded studies using intraoperative navigation technologies during open radical prostatectomy and studies considering technology to visualize lymph nodes. Intraoperative imaging using either transrectal ultrasonography or augmented reality was associated with a potential decrease in positive surgical margins rates. Improvements in detecting capsular involvement may be seen with augmented reality. The benefit, feasibility and applications of other imaging modalities such as 3D-printed models and optical imaging are discussed. The application of image-guided surgery and robotics has led to the development of promising new intraoperative imaging technologies such as augmented reality, fluorescence imaging, optical coherence tomography, confocal laser endomicroscopy and 3D printing. Currently challenges regarding tissue deformation and automatic tracking of prostate movements remain and there is a paucity in the literature supporting the use of these technologies. Urologic surgeons are encouraged to improve and test these advanced technologies in the clinical arena, preferably with comparative, randomized, trials.
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
刚刚
Miracle关注了科研通微信公众号
刚刚
稳重的雪瑶完成签到,获得积分10
刚刚
刚刚
壮观的菠萝完成签到,获得积分10
1秒前
1秒前
nuanyang完成签到,获得积分10
1秒前
tony发布了新的文献求助10
1秒前
酷波er应助jaydenma采纳,获得10
1秒前
2秒前
2秒前
刘文路发布了新的文献求助10
2秒前
半夏完成签到,获得积分10
2秒前
2秒前
越啊完成签到,获得积分10
2秒前
Summer发布了新的文献求助10
2秒前
无花果应助Mark采纳,获得10
3秒前
3秒前
琉璃发布了新的文献求助10
4秒前
杨松发布了新的文献求助10
4秒前
ma_juan发布了新的文献求助10
5秒前
5秒前
Hello应助小何采纳,获得10
6秒前
接米发布了新的文献求助10
6秒前
7秒前
一番完成签到,获得积分20
8秒前
8秒前
8秒前
亮111完成签到,获得积分10
9秒前
受伤金鑫发布了新的文献求助10
9秒前
KXQ完成签到,获得积分10
9秒前
10秒前
10秒前
10秒前
椎珏完成签到,获得积分10
10秒前
Ava应助隐形敏采纳,获得10
10秒前
闪电侠完成签到 ,获得积分10
10秒前
10秒前
11秒前
11秒前
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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7621407
求助须知:如何正确求助?哪些是违规求助? 9196580
关于积分的说明 19713003
捐赠科研通 7192872
什么是DOI,文献DOI怎么找? 3272806
关于科研通互助平台的介绍 2435217
邀请新用户注册赠送积分活动 2267935