The utility of APT and IVIM in the diagnosis and differentiation of squamous cell carcinoma of the cervix: A pilot study

盒内非相干运动 医学 有效扩散系数 前瞻性队列研究 磁共振弥散成像 核医学 子宫颈 基质 接收机工作特性 病理 放射科 癌症 内科学 磁共振成像 免疫组织化学
作者
Beibei Li,Hongzan Sun,Siyu Zhang,Xiaoqi Wang,Qiyong Guo
出处
期刊:Magnetic Resonance Imaging [Elsevier BV]
卷期号:63: 105-113 被引量:37
标识
DOI:10.1016/j.mri.2019.08.020
摘要

This study aimed to investigate whether amide proton transfer (APT) imaging, compared with intravoxel incoherent motion (IVIM) imaging-derived parameters, can differentiate squamous cell carcinoma of the cervix (SCCC) from the normal cervical stroma and distinguish poorly differentiated SCCC from well-moderately differentiated SCCC.This prospective study enrolled 32 patients, comprising 20 patients with well-moderately differentiated SCCC and 12 patients with poorly differentiated SCCC. 20 healthy volunteers were enrolled as a control group. A bi-exponential model (BEM) analysis was performed to derive ADC, pure molecular diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f). The APT signal intensity (APT SI), ADC, D, D* and f were measured. The parameters between the groups were compared with independent t-tests. Diagnostic performance was evaluated with a ROC analysis.The APT SI of SCCC (2.92 ± 0.24%) was higher than that of normal cervical stroma (2.72 ± 0.36%) with P = 0.020. The comparison of the AUCs for the diagnosis of SCCC was ADC > f > APT SI > D* > D. A significant difference was found in the APT SI between the well-moderately differentiated SCCC group (2.82 ± 0.15%) and the poorly differentiated SCCC group (3.09 ± 0.27%) with P = 0.006. Except for D (P = 0.012), the ADC, D* and f values were not significantly different between the groups (P > 0.05). The comparison of the AUCs for distinguishing poorly differentiated SCCC was APT SI > D > ADC > D* = f.APT imaging may be a useful technique in the diagnosis and predicting the differentiation of SCCC.

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
科研通AI6.4应助蔡1采纳,获得10
1秒前
科研通AI6.4应助蔡1采纳,获得10
1秒前
serafina发布了新的文献求助10
1秒前
1秒前
BulingBuling发布了新的文献求助10
1秒前
韦鑫龙完成签到,获得积分10
2秒前
dyx发布了新的文献求助10
2秒前
3秒前
5秒前
zouhao发布了新的文献求助30
5秒前
nsdcdcbdv发布了新的文献求助10
6秒前
7秒前
大个应助mumu0203采纳,获得10
7秒前
asd发布了新的文献求助10
7秒前
顾矜应助babyally采纳,获得10
7秒前
朱春枝完成签到,获得积分10
8秒前
8秒前
zzzz发布了新的文献求助50
8秒前
9秒前
摆哥发布了新的文献求助10
11秒前
yizhu完成签到,获得积分10
11秒前
13秒前
aaaaaaaaaaaa应助赵鹏采纳,获得10
14秒前
14秒前
15秒前
15秒前
薄荷水完成签到,获得积分10
15秒前
15秒前
只想休息完成签到,获得积分10
16秒前
zouhao完成签到,获得积分10
17秒前
小车发布了新的文献求助10
18秒前
xu发布了新的文献求助20
18秒前
汉堡包应助zzzy采纳,获得10
19秒前
19秒前
suiyi完成签到,获得积分10
19秒前
追光发布了新的文献求助10
19秒前
科研通AI6.2应助圈圈采纳,获得10
19秒前
20秒前
顾矜应助喵喵喵采纳,获得10
21秒前
22秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
Structural Geology: A Quantitative Introduction 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 7216778
求助须知:如何正确求助?哪些是违规求助? 8848301
关于积分的说明 18672636
捐赠科研通 6873135
什么是DOI,文献DOI怎么找? 3185148
关于科研通互助平台的介绍 2347060
邀请新用户注册赠送积分活动 2159429