A new magnetic resonance imaging tumour response grading scheme for locally advanced rectal cancer

医学 磁共振成像 分级(工程) 结直肠癌 比例危险模型 病态的 核医学 癌症 放射科 内科学 土木工程 工程类
作者
Xiaolin Pang,Peiyi Xie,Yu Li,Haiyang Chen,Jian Zheng,Xiaochun Meng,Xiang‐Bo Wan
出处
期刊:British Journal of Cancer [Springer Nature]
卷期号:127 (2): 268-277 被引量:11
标识
DOI:10.1038/s41416-022-01801-x
摘要

BackgroundThe potential of using magnetic resonance image tumour-regression grading (MRI-TRG) system to predict pathological TRG is debatable for locally advanced rectal cancer treated by neoadjuvant radiochemotherapy.MethodsReferring to the American Joint Committee on Cancer/College of American Pathologists (AJCC/CAP) TRG classification scheme, a new four-category MRI-TRG system based on the volumetric analysis of the residual tumour and radiochemotherapy induced anorectal fibrosis was established. The agreement between them was evaluated by Kendall’s tau-b test, while Kaplan–Meier analysis was used to calculate survival outcomes.ResultsIn total, 1033 patients were included. Good agreement between MRI-TRG and AJCC/CAP TRG classifications was observed (k = 0.671). Particularly, as compared with other pairs, MRI-TRG 0 displayed the highest sensitivity [90.1% (95% CI: 84.3–93.9)] and specificity [92.8% (95% CI: 90.4–94.7)] in identifying AJCC/CAP TRG 0 category patients. Except for the survival ratios that were comparable between the MRI-TRG 0 and MRI-TRG 1 categories, any two of the four categories had distinguished 3-year prognosis (all P < 0.05). Cox regression analysis further proved that the MRI-TRG system was an independent prognostic factor (all P < 0.05).ConclusionThe new MRI-TRG system might be a surrogate for AJCC/CAP TRG classification scheme. Importantly, the system is a reliable and non-invasive way to identify patients with complete pathological responses.
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
所所应助李李李er采纳,获得10
刚刚
莱山影完成签到,获得积分20
1秒前
量子星尘发布了新的文献求助10
1秒前
领导范儿应助研究牲采纳,获得10
1秒前
3秒前
3秒前
ulani发布了新的文献求助10
4秒前
木木完成签到,获得积分20
5秒前
5秒前
莱山影发布了新的文献求助10
6秒前
小马甲应助想人陪的如冬采纳,获得10
6秒前
量子星尘发布了新的文献求助10
8秒前
jmy1995发布了新的文献求助10
8秒前
静迹完成签到 ,获得积分10
8秒前
zyy完成签到,获得积分20
8秒前
星辰大海应助友好的士萧采纳,获得10
9秒前
太阳发布了新的文献求助10
10秒前
香蕉觅云应助zss采纳,获得10
11秒前
Akim应助eily采纳,获得10
13秒前
xiaoxuelucy关注了科研通微信公众号
14秒前
hhh123完成签到 ,获得积分10
14秒前
量子星尘发布了新的文献求助10
14秒前
科研狗完成签到,获得积分10
15秒前
CodeCraft应助冬去春来采纳,获得10
15秒前
15秒前
SciGPT应助hang采纳,获得10
17秒前
17秒前
10000SCI发布了新的文献求助10
17秒前
慧妞完成签到 ,获得积分10
18秒前
18秒前
wanci应助出其东门采纳,获得10
20秒前
21秒前
21秒前
22秒前
22秒前
量子星尘发布了新的文献求助10
23秒前
Twonej应助天真乌冬面采纳,获得30
23秒前
猪猪侠应助天真乌冬面采纳,获得10
23秒前
在水一方应助天真乌冬面采纳,获得10
23秒前
香蕉觅云应助天真乌冬面采纳,获得10
23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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5713510
求助须知:如何正确求助?哪些是违规求助? 5216103
关于积分的说明 15271135
捐赠科研通 4865261
什么是DOI,文献DOI怎么找? 2611946
邀请新用户注册赠送积分活动 1562153
关于科研通互助平台的介绍 1519378