Prospective evaluation of MR-TRG (Tumor Regression Grade) in esophageal cancer after neo-adjuvant therapy: Preliminary results

医学 卡帕 食管癌 核医学 磁共振成像 新辅助治疗 相关性 辅助治疗 癌症 放射科 内科学 乳腺癌 哲学 语言学 几何学 数学
作者
Pauline Chapellier,François Fasquelle,Chiara Saglietti,Rémy Kinj,Styliani Mantziari,Markus Schäfer,Laura Haefliger,Mario Jreige,Naïk Vietti Violi,Christine Sempoux,Clarisse Dromain
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:171: 111263-111263
标识
DOI:10.1016/j.ejrad.2023.111263
摘要

Purpose To develop MRI-based criteria to assess tumor response to neoadjuvant therapies (NAT) of esophageal cancers (EC) and to evaluate its diagnostic performance in predicting the pathological Tumor Regression Grade (pTRG). Method From 2018 to 2022, patients with newly diagnosed locally advanced EC underwent MRI examinations for initial staging and restaging after NAT. Magnetic Resonance TRG (MR-TRG), equivalent to the Mandard and Becker classifications, were developed and independently assessed by two radiologists, blinded to pTRG, using T2W and DW-MR Images. All patients underwent surgery and benefited from a blinded pTRG evaluation by two pathologists. The agreement between readers and between MR-TRG and pTRG were assessed with Cohen's Kappa. The correlation of MR-TRG and pTRG was determined using Spearman's correlation. Results 28 patients were included. Interrater agreement was substantial between radiologists, improved when grouping grade 1 and 2 (κ = 0.78 rose to 0,84 for Mandard and 0.68 to 0,78 for Becker score). Agreement between pTRG and MR-TRG was moderate with a percentaged agreement (p) = 87.5 %, kappa (κ) = 0.54 and p = 83.3 %, κ = 0.49 for Mandard and Becker, respectively. Agreement was improved to substantial when grouping grades 1–2 for Mandard and 1a-1b for Becker with p = 89.3 %, κ = 0.65 and p = 85.2 %, κ = 0.65 respectively. Sensitivity and specificity of MR-TRG in predicting pTRG were 88.2 % and 72.7 % for Mandard system (scores 1–2 versus 3–5), and 83.3 % and 80 % for Becker system (scores 1a-1b versus 2–3). Conclusion A substantial agreement between MR-TRG and pTRG was achieved when grouping grade 1–2. Hence, MR-TRG could be used as a surrogate of complete and near-complete pTRG.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Moonber完成签到,获得积分10
1秒前
悠哉发布了新的文献求助10
1秒前
SciGPT应助张亭亭采纳,获得10
2秒前
柒夏完成签到,获得积分10
2秒前
马头消灭者完成签到,获得积分10
3秒前
传奇3应助pengpeng采纳,获得10
3秒前
寄草完成签到,获得积分10
4秒前
4秒前
橘子完成签到 ,获得积分10
4秒前
田様应助wuhoo采纳,获得10
5秒前
id发布了新的文献求助30
5秒前
geopotter完成签到,获得积分10
5秒前
情怀应助CHEN02采纳,获得10
5秒前
JialinTANG关注了科研通微信公众号
6秒前
7秒前
一亩蔬菜完成签到,获得积分10
7秒前
完美世界应助qq采纳,获得10
8秒前
8秒前
淡淡的博完成签到,获得积分10
8秒前
9秒前
夜休2024完成签到,获得积分10
9秒前
123发布了新的文献求助10
10秒前
10秒前
10秒前
10秒前
自燃完成签到,获得积分20
11秒前
张亭亭完成签到,获得积分20
11秒前
11秒前
魔幻的土豆泥完成签到,获得积分10
12秒前
冷傲藏鸟发布了新的文献求助10
13秒前
zwzh完成签到,获得积分10
13秒前
14秒前
14秒前
hyominhsu完成签到,获得积分10
14秒前
Liu发布了新的文献求助10
14秒前
14秒前
张亭亭发布了新的文献求助10
15秒前
木子青山完成签到,获得积分10
15秒前
冷傲的强炫完成签到,获得积分20
15秒前
15秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1500
Stereoelectronic Effects 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 820
Logical form: From GB to Minimalism 500
The Geometry of the Moiré Effect in One, Two, and Three Dimensions 500
含极性四面体硫代硫酸基团的非线性光学晶体的探索 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4185425
求助须知:如何正确求助?哪些是违规求助? 3721294
关于积分的说明 11725727
捐赠科研通 3399505
什么是DOI,文献DOI怎么找? 1865229
邀请新用户注册赠送积分活动 922619
科研通“疑难数据库(出版商)”最低求助积分说明 834094