清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Three-compartment spectral diffusion analysis for breast cancer magnetic resonance imaging

盒内非相干运动 核医学 磁共振成像 有效扩散系数 医学 核磁共振 磁共振弥散成像 乳腺癌 灌注 曲线下面积 峰度 接收机工作特性 化学 放射科 癌症 内科学 数学 物理 统计
作者
Masaki Ogawa,Hirohito Kan,Misugi Urano,Tatsuya Kawai,Haruna Nakajima,Kazuma Murai,H. Miyaji,Tatsuya Toyama,Akio Hiwatashi
出处
期刊:Magnetic Resonance Imaging [Elsevier BV]
卷期号:103: 179-184 被引量:1
标识
DOI:10.1016/j.mri.2023.04.006
摘要

To examine the diagnostic performance of a three-compartment diffusion model with the fixed cut-off diffusion coefficient (D) using magnetic resonance spectral diffusion analysis for differentiating between invasive ductal carcinoma (IDC) and ductal carcinoma in situ (DCIS) and compare the conventional apparent D (ADC), and mean kurtosis (MK), with the tissue D (DIVIM), perfusion D (D*IVIM), and perfusion fraction (fIVIM) calculated by conventional intravoxel incoherent motion.This retrospective study included women who underwent breast MRI with eight b-value diffusion-weighted imaging between February 2019 and March 2022. Spectral diffusion analysis was performed; very-slow, cellular, and perfusion compartments were defined using cut-off Ds of 0.1 × 10-3 and 3.0 × 10-3 mm2/s (static water D). The mean D (Ds, Dc, Dp, respectively) and fraction F (Fs, Fc, Fp, respectively) for each compartment were calculated. ADC and MK values were also calculated; receiver operating characteristic analyses were performed.Histologically confirmed 132 ICD and 62 DCIS (age range 31-87 [53 ± 11] years) were evaluated. The areas under the curve (AUCs) for ADC, MK, DIVIM, D*IVIM, fIVIM, Ds, Dc, Dp, Fs, Fc, and Fp were 0.77, 0.72, 0.77, 0.51, 0.67, 0.54, 0.78, 0.51, 0.57, 0.54, and 0.57, respectively. The AUCs for the model combining very-slow and cellular compartments and the model combining the three compartments were 0.81 each, slightly and significantly higher than for ADC, DIVIM, and Dc (P = 0.09-0.14); and MK (P < 0.05), respectively.Three-compartment model analysis using the diffusion spectrum accurately differentiated IDC from DCIS; however, it was not superior to ADC and DIVIM. The diagnostic performance of MK was lower than that of the three-compartment model.
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
14秒前
20秒前
LINDENG2004完成签到 ,获得积分10
23秒前
弦和发布了新的文献求助10
26秒前
vbnn完成签到 ,获得积分10
38秒前
搜集达人应助弦和采纳,获得10
38秒前
蝎子莱莱xth完成签到,获得积分10
48秒前
拼搏的帽子完成签到 ,获得积分10
49秒前
氢锂钠钾铷铯钫完成签到,获得积分10
52秒前
Square完成签到,获得积分10
56秒前
量子星尘发布了新的文献求助30
1分钟前
顾矜应助sxmt123456789采纳,获得10
1分钟前
2分钟前
sxmt123456789发布了新的文献求助10
2分钟前
GPTea应助科研通管家采纳,获得20
3分钟前
一盏壶完成签到,获得积分10
3分钟前
胖小羊完成签到 ,获得积分10
3分钟前
3分钟前
3分钟前
Lucas应助Frank采纳,获得10
4分钟前
4分钟前
wodetaiyangLLL完成签到 ,获得积分10
4分钟前
herococa应助musicyy222采纳,获得10
4分钟前
Frank发布了新的文献求助10
4分钟前
4分钟前
幻影发布了新的文献求助10
4分钟前
musicyy222完成签到,获得积分10
4分钟前
Frank完成签到,获得积分10
4分钟前
常有李完成签到,获得积分10
4分钟前
滨滨发布了新的文献求助10
5分钟前
CipherSage应助123采纳,获得30
5分钟前
滨滨发布了新的文献求助30
5分钟前
5分钟前
123发布了新的文献求助30
5分钟前
科研通AI5应助123采纳,获得10
6分钟前
任性翠安完成签到 ,获得积分10
7分钟前
7分钟前
小吴发布了新的文献求助10
7分钟前
方白秋完成签到,获得积分0
7分钟前
所所应助小吴采纳,获得10
8分钟前
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
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5065562
求助须知:如何正确求助?哪些是违规求助? 4288164
关于积分的说明 13359686
捐赠科研通 4106939
什么是DOI,文献DOI怎么找? 2248920
邀请新用户注册赠送积分活动 1254433
关于科研通互助平台的介绍 1186236