A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors

列线图 医学 无线电技术 阶段(地层学) 内科学 核医学 接收机工作特性 放射科 肿瘤科 生物 古生物学
作者
Wenjie Liang,Pengfei Yang,Rui Huang,Lei Xu,Jiawei Wang,Weihai Liu,Lele Zhang,Dalong Wan,Qiang Huang,Yao Lu,Yu Kuang,Tianye Niu
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:25 (2): 584-594 被引量:154
标识
DOI:10.1158/1078-0432.ccr-18-1305
摘要

Abstract Purpose: The purpose of this study is to develop and validate a nomogram model combing radiomics features and clinical characteristics to preoperatively differentiate grade 1 and grade 2/3 tumors in patients with pancreatic neuroendocrine tumors (pNET). Experimental Design: A total of 137 patients who underwent contrast-enhanced CT from two hospitals were included in this study. The patients from the second hospital (n = 51) were selected as an independent validation set. The arterial phase in contrast-enhanced CT was selected for radiomics feature extraction. The Mann–Whitney U test and least absolute shrinkage and selection operator regression were applied for feature selection and radiomics signature construction. A combined nomogram model was developed by incorporating the radiomics signature with clinical factors. The association between the nomogram model and the Ki-67 index and rate of nuclear mitosis were also investigated respectively. The utility of the proposed model was evaluated using the ROC, area under ROC curve (AUC), calibration curve, and decision curve analysis (DCA). The Kaplan–Meier (KM) analysis was used for survival analysis. Results: An eight-feature–combined radiomics signature was constructed as a tumor grade predictor. The nomogram model combining the radiomics signature with clinical stage showed the best performance (training set: AUC = 0.907; validation set: AUC = 0.891). The calibration curve and DCA demonstrated the clinical usefulness of the proposed nomogram. A significant correlation was observed between the developed nomogram and Ki-67 index and rate of nuclear mitosis, respectively. The KM analysis showed a significant difference between the survival of predicted grade 1 and grade 2/3 groups (P = 0.002). Conclusions: The combined nomogram model developed could be useful in differentiating grade 1 and grade 2/3 tumor in patients with pNETs.
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
攒星星发布了新的文献求助10
刚刚
研友_VZG7GZ应助Thi采纳,获得10
刚刚
pzp发布了新的文献求助10
1秒前
隐形曼青应助111采纳,获得10
1秒前
汉堡包应助111采纳,获得10
1秒前
牛牛发布了新的文献求助10
1秒前
xiaohan完成签到,获得积分10
1秒前
Hello应助jackycas采纳,获得10
2秒前
3秒前
3秒前
务实的小虾米完成签到,获得积分10
4秒前
dd完成签到,获得积分10
4秒前
Aurora完成签到,获得积分10
4秒前
4秒前
古德day发布了新的文献求助10
5秒前
5秒前
别骂小喷菇应助敬老院N号采纳,获得10
5秒前
别骂小喷菇应助敬老院N号采纳,获得10
5秒前
彭凯完成签到,获得积分10
6秒前
菠萝面包发布了新的文献求助10
6秒前
7秒前
7秒前
ark861023发布了新的文献求助10
7秒前
Ava应助儒雅的半蕾采纳,获得10
7秒前
7秒前
111完成签到,获得积分10
8秒前
8秒前
香蕉问旋完成签到 ,获得积分10
8秒前
彭凯发布了新的文献求助10
8秒前
燕熙发布了新的文献求助10
9秒前
9秒前
9秒前
9秒前
jun完成签到,获得积分10
10秒前
大鱼关注了科研通微信公众号
10秒前
11秒前
11秒前
SnowPeak7完成签到,获得积分10
11秒前
古德day完成签到,获得积分10
12秒前
雪1999完成签到,获得积分10
12秒前
高分求助中
좌파는 어떻게 좌파가 됐나:한국 급진노동운동의 형성과 궤적 2500
Sustainability in Tides Chemistry 1500
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 800
Threaded Harmony: A Sustainable Approach to Fashion 799
Livre et militantisme : La Cité éditeur 1958-1967 500
Retention of title in secured transactions law from a creditor's perspective: A comparative analysis of selected (non-)functional approaches 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3054545
求助须知:如何正确求助?哪些是违规求助? 2711512
关于积分的说明 7426610
捐赠科研通 2356104
什么是DOI,文献DOI怎么找? 1247642
科研通“疑难数据库(出版商)”最低求助积分说明 606478
版权声明 596079