Novel “resect and analysis” approach for T2 colorectal cancer with use of artificial intelligence

医学 接收机工作特性 结直肠癌 癌胚抗原 置信区间 阶段(地层学) 结肠切除术 淋巴结 淋巴血管侵犯 癌症 外科 放射科 转移 内科学 古生物学 生物
作者
Katsuro Ichimasa,Kenta Nakahara,Shin‐ei Kudo,Masashi Misawa,Michael Bretthauer,Shoji Shimada,Yusuke Takehara,Shunpei Mukai,Yuta Kouyama,Hideyuki Miyachi,Naruhiko Sawada,Kensaku Mori,Fumio Ishida,Yuichi Mori
出处
期刊:Gastrointestinal Endoscopy [Elsevier BV]
卷期号:96 (4): 665-672.e1 被引量:25
标识
DOI:10.1016/j.gie.2022.04.1305
摘要

Because of a lack of reliable preoperative prediction of lymph node involvement in early-stage T2 colorectal cancer (CRC), surgical resection is the current standard treatment. This leads to overtreatment because only 25% of T2 CRC patients turn out to have lymph node metastasis (LNM). We assessed a novel artificial intelligence (AI) system to predict LNM in T2 CRC to ascertain patients who can be safely treated with less-invasive endoscopic resection such as endoscopic full-thickness resection and do not need surgery.We included 511 consecutive patients who had surgical resection with T2 CRC from 2001 to 2016; 411 patients (2001-2014) were used as a training set for the random forest-based AI prediction tool, and 100 patients (2014-2016) were used to validate the AI tool performance. The AI algorithm included 8 clinicopathologic variables (patient age and sex, tumor size and location, lymphatic invasion, vascular invasion, histologic differentiation, and serum carcinoembryonic antigen level) and predicted the likelihood of LNM by receiver-operating characteristics using area under the curve (AUC) estimates.Rates of LNM in the training and validation datasets were 26% (106/411) and 28% (28/100), respectively. The AUC of the AI algorithm for the validation cohort was .93. With 96% sensitivity (95% confidence interval, 90%-99%), specificity was 88% (95% confidence interval, 80%-94%). In this case, 64% of patients could avoid surgery, whereas 1.6% of patients with LNM would lose a chance to receive surgery.Our proposed AI prediction model has a potential to reduce unnecessary surgery for patients with T2 CRC with very little risk. (Clinical trial registration number: UMIN 000038257.).
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
末末完成签到 ,获得积分10
3秒前
无为完成签到 ,获得积分10
4秒前
白嫖论文完成签到 ,获得积分10
6秒前
上官若男应助忧伤的步美采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
12秒前
从心随缘完成签到 ,获得积分10
13秒前
花花发布了新的文献求助10
15秒前
牛奶面包完成签到 ,获得积分10
16秒前
17秒前
岁月如歌完成签到 ,获得积分0
17秒前
20秒前
Li完成签到,获得积分10
22秒前
张琨完成签到 ,获得积分10
22秒前
22秒前
sunnyqqz完成签到,获得积分10
25秒前
热情的乘风完成签到,获得积分20
25秒前
27秒前
霍凡白完成签到,获得积分10
28秒前
29秒前
Feng发布了新的文献求助20
30秒前
怕孤单的若颜完成签到 ,获得积分10
32秒前
33秒前
ruochenzu发布了新的文献求助10
36秒前
zhongu发布了新的文献求助10
40秒前
阳光彩虹小白马完成签到 ,获得积分10
40秒前
Feng完成签到,获得积分10
42秒前
花花完成签到,获得积分10
44秒前
47秒前
量子星尘发布了新的文献求助10
49秒前
杨一完成签到 ,获得积分10
52秒前
猫猫头完成签到 ,获得积分10
53秒前
55秒前
58秒前
忒寒碜完成签到,获得积分10
1分钟前
1分钟前
XU博士完成签到,获得积分10
1分钟前
哭泣青烟完成签到 ,获得积分10
1分钟前
roundtree完成签到 ,获得积分0
1分钟前
等待谷南完成签到,获得积分10
1分钟前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038039
求助须知:如何正确求助?哪些是违规求助? 3575756
关于积分的说明 11373782
捐赠科研通 3305574
什么是DOI,文献DOI怎么找? 1819239
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022