亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images

肝内胆管癌 病理 基质 阶段(地层学) 医学 肿瘤微环境 生存分析 癌症 肿瘤科 生物 内科学 免疫组织化学 古生物学
作者
Jiawei Xie,Xiaohong Pu,Jian He,Yudong Qiu,Cheng Lu,Wei Gao,Xiangxue Wang,Hongbing Lu,Jiong Shi,Yuelei Xu,Anant Madabhushi,Xiangshan Fan,Jun Chen,Jun Xu
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:146: 105520-105520 被引量:5
标识
DOI:10.1016/j.compbiomed.2022.105520
摘要

Intrahepatic cholangiocarcinoma (ICC) is cancer that originates from the liver's secondary ductal epithelium or branch. Due to the lack of early-stage clinical symptoms and very high mortality, the 5-year postoperative survival rate is only about 35%. A critical step to improve patients' survival is accurately predicting their survival status and giving appropriate treatment. The tumor microenvironment of ICC is the immediate environment on which the tumor cell growth depends. The differentiation of tumor glands, the stroma status, and the tumor-infiltrating lymphocytes in such environments are strictly related to the tumor progress. It is crucial to develop a computerized system for characterizing the tumor environment. This work aims to develop the quantitative histomorphological features that describe lymphocyte density distribution at the cell level and the different components at the tumor's tissue level in H&E-stained whole slide images (WSIs). The goal is to explore whether these features could stratify patients' survival. This study comprised of 127 patients diagnosed with ICC after surgery, where 78 cases were randomly chosen as the modeling set, and the rest of the 49 cases were testing set. Deep learning-based models were developed for tissue segmentation and lymphocyte detection in the WSIs. A total of 107-dimensional features, including different type of graph features on the WSIs were extracted by exploring the histomorphological patterns of these identified tumor tissue and lymphocytes. The top 3 discriminative features were chosen with the mRMR algorithm via 5-fold cross-validation to predict the patient's survival. The model's performance was evaluated on the independent testing set, which achieved an AUC of 0.6818 and the log-rank test p-value of 0.03. The Cox multivariable test was used to control the TNM staging, γ-Glutamytransferase, and the Peritumoral Glisson's Sheath Invasion. It showed that our model could independently predict survival risk with a p-value of 0.048 and HR (95% confidence interval) of 2.90 (1.01-8.32). These results indicated that the composition in tissue-level and global arrangement of lymphocytes in the cell-level could distinguish ICC patients' survival risk.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
三三得九完成签到 ,获得积分10
17秒前
彭于晏应助alin采纳,获得10
21秒前
积极的尔白完成签到 ,获得积分10
23秒前
alin完成签到,获得积分10
30秒前
科研螺丝完成签到 ,获得积分10
32秒前
34秒前
37秒前
alin发布了新的文献求助10
42秒前
战缘1123完成签到,获得积分10
46秒前
48秒前
斯文的凝珍完成签到,获得积分10
50秒前
allen完成签到,获得积分20
51秒前
羊羊羊完成签到,获得积分10
51秒前
mmyhn发布了新的文献求助30
52秒前
唐汉发布了新的文献求助10
55秒前
竹筏过海完成签到 ,获得积分0
58秒前
脑洞疼应助唐汉采纳,获得10
1分钟前
唐汉完成签到,获得积分10
1分钟前
KongLG完成签到 ,获得积分10
1分钟前
李爱国应助科研通管家采纳,获得10
1分钟前
思源应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
从容芮应助allen采纳,获得50
1分钟前
1分钟前
zhang完成签到 ,获得积分10
2分钟前
英俊的铭应助帆帆采纳,获得10
2分钟前
李博士完成签到,获得积分20
2分钟前
丁丁发布了新的文献求助10
2分钟前
圆圆酱完成签到 ,获得积分10
2分钟前
李博士发布了新的文献求助30
2分钟前
green发布了新的文献求助10
2分钟前
2分钟前
李白发布了新的文献求助10
2分钟前
玫瑰遇上奶油完成签到 ,获得积分10
2分钟前
暗号完成签到 ,获得积分10
2分钟前
zpli完成签到 ,获得积分10
2分钟前
李白完成签到,获得积分10
2分钟前
ick558完成签到,获得积分10
2分钟前
李半斤完成签到 ,获得积分20
2分钟前
Jessica英语好完成签到 ,获得积分10
2分钟前
高分求助中
Un calendrier babylonien des travaux, des signes et des mois: Séries iqqur îpuš 1036
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 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 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2545244
求助须知:如何正确求助?哪些是违规求助? 2175612
关于积分的说明 5600078
捐赠科研通 1896314
什么是DOI,文献DOI怎么找? 946171
版权声明 565327
科研通“疑难数据库(出版商)”最低求助积分说明 503541