Role of microenvironment characteristics and MRI radiomics in the risk stratification of distant metastases in rectal cancer: a diagnostic study

医学 比例危险模型 结直肠癌 阶段(地层学) 放化疗 T级 危险分层 内科学 活检 逻辑回归 肿瘤科 放射科 癌症 生物 古生物学
作者
Qing Zhao,Hongxia Zhong,Xu Guan,Lijuan Wan,Li Zhao,Shuangmei Zou,Hongmei Zhang
出处
期刊:International Journal of Surgery [Wolters Kluwer]
卷期号:111 (1): 200-209 被引量:6
标识
DOI:10.1097/js9.0000000000001916
摘要

Objectives: To compare the value of tumor stroma ratio (TSR) and radiomic signature from baseline MRI for stratifying the risk of distant metastases (DM) in patients with locally advanced rectal cancer (LARC). Materials and methods: Data from 302 patients with LARC who underwent neoadjuvant chemoradiotherapy and total mesorectal excision in our hospital between 2015 and 2018 were retrospectively reviewed, and the patients were randomly allocated into the training and validation cohorts in a ratio of 7:3. Patients were followed-up for more than 3 years postoperatively with metachronous DM as the endpoint. Independent risk factors for DM-free survival (DMFS) were analyzed using Cox regression. The TSR of endoscopic biopsy specimens was scored automatically. Totally 1229 radiomic features of each tumor were extracted from baseline MRI, and the Radscore was calculated. Results: The median follow-up time was 54.3 (51.6–57.1) months, and the 3-year DMFS was 83.8%. The best cutoff value of the TSR to distinguish a patient’s DM risk was 0.477 (Sen=70.8%, Sep=78%, P <0.001). Increased TSR (HR=3.072, P =0.006) and Radscore (HR=719.231, P =0.023), advanced MR-evaluated T stage (HR=2.660, P =0.023) and ypN (HR=2.362, P =0.028) stage were independent risk factors for DMFS. The area under the curve of the combined model was significantly higher than that of the radiomic model ( P =0.013) but without a significant advantage over the TSR model ( P =0.086). Conclusion: TSR of colonoscopic biopsies can independently stratify DM risk in patients with LARC. The TSR model is the most convenient and efficient method for DM risk stratification in LARC.
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
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
七月完成签到 ,获得积分10
刚刚
1秒前
3秒前
4秒前
Lucky发布了新的文献求助10
4秒前
4秒前
Elena Zhang完成签到,获得积分10
5秒前
zyiie关注了科研通微信公众号
6秒前
tt完成签到,获得积分10
6秒前
6秒前
8秒前
8秒前
8秒前
ale关闭了ale文献求助
9秒前
wangweichao发布了新的文献求助10
9秒前
9秒前
Momo01完成签到,获得积分0
9秒前
9秒前
科目三应助陆驳采纳,获得10
11秒前
11秒前
小胚芽完成签到,获得积分10
12秒前
fcj4186发布了新的文献求助10
13秒前
11223344完成签到,获得积分10
13秒前
WTT完成签到 ,获得积分10
15秒前
幻梦发布了新的文献求助10
16秒前
小刘很怕忙完成签到,获得积分10
16秒前
17秒前
Aweiiiii发布了新的文献求助10
18秒前
ZSY完成签到,获得积分20
20秒前
21秒前
21秒前
22秒前
ZHAOyifan发布了新的文献求助10
23秒前
可爱的函函应助kegelang采纳,获得10
23秒前
23秒前
JamesPei应助Aniyaa采纳,获得30
23秒前
激昂的眼神完成签到,获得积分10
24秒前
acadedog完成签到,获得积分10
24秒前
陆驳发布了新的文献求助10
25秒前
张亚慧发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7701952
求助须知:如何正确求助?哪些是违规求助? 9260694
关于积分的说明 20027986
捐赠科研通 7277625
什么是DOI,文献DOI怎么找? 3294061
关于科研通互助平台的介绍 2449576
邀请新用户注册赠送积分活动 2300684