Development and Validation of a Radiomics Nomogram for Liver Metastases Originating from Gastric and Colorectal Cancer

Author:

Li Yuying12,Li Jingjing12,Meng Mingzhu1,Duan Shaofeng3,Shi Haifeng1,Hang Junjie45ORCID

Affiliation:

1. Department of Radiology, Changzhou Second People’s Hospital Affiliated with Nanjing Medical University, Changzhou 213000, China

2. Graduate College, Dalian Medical University, Dalian 116000, China

3. GE Healthcare, Precision Health Institution, Shanghai 201100, China

4. Department of Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China

5. Department of Oncology, Changzhou Second People’s Hospital Affiliated with Nanjing Medical University, Changzhou 213000, China

Abstract

The origin of metastatic liver tumours (arising from gastric or colorectal sources) is closely linked to treatment choices and survival prospects. However, in some instances, the primary lesion remains elusive even after an exhaustive diagnostic investigation. Consequently, we have devised and validated a radiomics nomogram for ascertaining the primary origin of liver metastases stemming from gastric cancer (GCLMs) and colorectal cancer (CCLMs). This retrospective study encompassed patients diagnosed with either GCLMs or CCLMs, comprising a total of 277 GCLM cases and 278 CCLM cases. Radiomic characteristics were derived from venous phase computed tomography (CT) scans, and a radiomics signature (RS) was computed. Multivariable regression analysis demonstrated that gender (OR = 3.457; 95% CI: 2.102–5.684; p < 0.001), haemoglobin levels (OR = 0.976; 95% CI: 0.967–0.986; p < 0.001), carcinoembryonic antigen (CEA) levels (OR = 0.500; 95% CI: 0.307–0.814; p = 0.005), and RS (OR = 2.147; 95% CI: 1.127–4.091; p = 0.020) exhibited independent associations with GCLMs as compared to CCLMs. The nomogram, combining RS with clinical variables, demonstrated strong discriminatory power in both the training (AUC = 0.71) and validation (AUC = 0.78) cohorts. The calibration curve, decision curve analysis, and clinical impact curves revealed the clinical utility of this nomogram and substantiated its enhanced diagnostic performance.

Funder

Top Talent of Changzhou “The 14th Five-Year Plan” High-level Health Talents Training

Project of Changzhou Science and Technology Bureau

Publisher

MDPI AG

Subject

Clinical Biochemistry

Reference41 articles.

1. Cancer of Unknown Primary Site;Varadhachary;N. Engl. J. Med.,2014

2. National Institute for Health and Care Excellence (NICE) (2010). Metastatic Malignant Disease of Unknown Primary Origin in Adults: Diagnosis and Management, NICE.

3. Cancers of unknown primary site: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up;Fizazi;Ann. Oncol.,2015

4. (2022). NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines). Occult Primary (Cancer of Unknown Primary [CUP]), National Comprehensive Cancer Network.

5. Risk factors for cancers of unknown primary site: Results from the prospective EPIC cohort;Kaaks;Int. J. Cancer,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3