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
西瓜完成签到,获得积分10
1秒前
2秒前
sinlar发布了新的文献求助10
2秒前
白开水发布了新的文献求助10
3秒前
4秒前
4秒前
斯文的从彤完成签到,获得积分20
5秒前
MOON完成签到,获得积分10
5秒前
充电宝应助chen采纳,获得10
7秒前
btbt关注了科研通微信公众号
8秒前
9秒前
13秒前
qixinyi完成签到,获得积分10
14秒前
阔达的凡发布了新的文献求助10
15秒前
Frank给liian7的求助进行了留言
18秒前
105发布了新的文献求助10
20秒前
21秒前
22秒前
22秒前
sinlar完成签到,获得积分10
23秒前
26秒前
28秒前
善学以致用应助NZH采纳,获得10
30秒前
30秒前
香蕉觅云应助科研苦行僧采纳,获得10
31秒前
mojio发布了新的文献求助20
31秒前
31秒前
科研通AI2S应助lxy采纳,获得10
31秒前
活着完成签到,获得积分10
31秒前
32秒前
笑点低千雁完成签到,获得积分10
33秒前
btbt发布了新的文献求助30
33秒前
开朗的山完成签到 ,获得积分10
34秒前
34秒前
充电宝应助拼搏的忆寒采纳,获得10
35秒前
chen发布了新的文献求助10
36秒前
天天快乐应助舒适电源采纳,获得10
36秒前
努力的咩咩完成签到,获得积分10
37秒前
廉锦枫发布了新的文献求助10
38秒前
38秒前
高分求助中
Evolution 10000
ISSN 2159-8274 EISSN 2159-8290 1000
Becoming: An Introduction to Jung's Concept of Individuation 600
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 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 3161007
求助须知:如何正确求助?哪些是违规求助? 2812335
关于积分的说明 7895242
捐赠科研通 2471208
什么是DOI,文献DOI怎么找? 1315908
科研通“疑难数据库(出版商)”最低求助积分说明 631071
版权声明 602086