Diagnostic performance of magnetic resonance imaging in preoperative local staging of rectal cancer after neoadjuvant chemoradiotherapy

作者
Hakkı Çelik,Funda Barlık,Selman Sökmen,Cem Terzi,Aras Emre Canda,Özgül Sağol,Sülen Sarıoğlu,Mehtat Ünlü,İlknur Bilkay Görken,Zümre Arıcan Alıcıkuş,İlhan Öztop
出处
期刊:Diagnostic and interventional radiology [AVES Publishing Co.]
卷期号:29 (2): 219-227 被引量:9
标识
DOI:10.4274/dir.2022.221333
摘要

PURPOSE: This paper aims to investigate the diagnostic performance of magnetic resonance imaging (MRI) in predicting the pathologic stage of locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (CRT) and the role of MRI in selecting patients with a pathologic complete response (ypCR). METHODS: Restaging MRI (yMRI) examinations of 136 patients with LARC treated with neoadjuvant CRT followed by surgery were retrospectively analyzed by two radiologists. All examinations were performed on a 1.5 Tesla MRI machine with a pelvic phased-array coil. T2-weighted turbo spin-echo images and diffusion-weighted imaging were obtained. Histopathologic reports of the surgical specimens were the reference standard. The accuracy, sensitivity, specificity, positive and negative predictive values (PPV and NPV) of yMRI in predicting the pathologic T-stage (ypT), N-stage, and ypCR were calculated. The inter-observer agreement was evaluated using kappa statistics. RESULTS: The yMRI results showed 67% accuracy, 59% sensitivity, 80% specificity, 81% PPV, and 56% NPV in identifying ypT (ypT0-2 versus ypT3-4). In predicting the nodal status, the yMRI results revealed 63% accuracy, 60% sensitivity, 65% specificity, 47% PPV, and 75% NPV. In predicting ypCR, the yMRI results showed 84% accuracy, 20% sensitivity, 92% specificity, 23% PPV, and 90% NPV. The kappa statistics revealed substantial agreement between the two radiologists. CONCLUSION: Utilization of yMRI showed high specificity and PPV in predicting the tumor stage and high NPV in predicting the nodal stage; in addition, yMRI revealed moderate accuracy in the T and N classifications, mainly due to underestimating the tumor stage and overestimating the nodal status. Finally, yMRI revealed high specificity and NPV but low sensitivity in predicting the complete response.

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
yanny完成签到,获得积分10
刚刚
害羞便当完成签到,获得积分10
刚刚
文献狗完成签到,获得积分10
刚刚
1秒前
文sdiw完成签到,获得积分10
1秒前
1秒前
叁月二完成签到 ,获得积分10
1秒前
1秒前
852的应助被糖掌老采纳,获得10
1秒前
灵允发布了新的文献求助10
2秒前
njw完成签到,获得积分10
2秒前
早日毕业完成签到,获得积分10
2秒前
ywyw完成签到,获得积分10
2秒前
森海完成签到,获得积分10
3秒前
仔仔不吃肉肉完成签到,获得积分10
3秒前
霸气的梦露完成签到,获得积分10
4秒前
4秒前
brodie完成签到,获得积分10
5秒前
ecki123123发布了新的文献求助10
5秒前
孔维哲完成签到,获得积分10
5秒前
旺旺小仙完成签到,获得积分10
5秒前
Akim的应助被轻松小刺猬采纳,获得10
5秒前
科研狗echo完成签到 ,获得积分10
5秒前
ss完成签到,获得积分10
6秒前
6秒前
boluo77完成签到,获得积分10
6秒前
6秒前
123发布了新的文献求助10
6秒前
咸不辣苏完成签到,获得积分10
7秒前
sxw完成签到 ,获得积分10
7秒前
闪闪星星完成签到,获得积分10
7秒前
vv完成签到,获得积分10
7秒前
老迟到的涫完成签到,获得积分10
8秒前
蜚英腾茂完成签到,获得积分10
8秒前
DC-CIK军团发布了新的文献求助10
8秒前
Atalent完成签到,获得积分10
8秒前
9秒前
冷酷的小之完成签到,获得积分10
9秒前
9秒前
爱学习的楠完成签到,获得积分10
9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
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8109029
求助须知:如何正确求助?哪些是违规求助? 9516770
关于积分的说明 21506037
捐赠科研通 7685859
什么是DOI,文献DOI怎么找? 3411038
关于科研通互助平台的介绍 2538414
邀请新用户注册赠送积分活动 2451002