Quantitative Time-Dependent Diffusion MRI for Diagnosis and Aggressiveness Assessment of Endometrial Cancer: A Prospective Study

医学 前瞻性队列研究 放射科 磁共振弥散成像 磁共振弥散加权成像 子宫内膜 磁共振成像 子宫内膜癌 诊断准确性 有效扩散系数 多探测器计算机断层扫描 试验预测值 子宫内膜异位症
作者
Wenyi Yue,Ruxue Han,Junzhong Xu,Chaoyang Jin,Xiaoyu Jiang,Dandan Zheng,Jing Peng,Jun Lu,Qiming Liu,Ning Xu,Dan Zhao,Hua Li,Qi Yang
出处
期刊:Korean Journal of Radiology [Korean Society of Radiology]
卷期号:26 (10): 973-973 被引量:1
标识
DOI:10.3348/kjr.2025.0633
摘要

Objective: Preoperative differentiation of benign and malignant endometrial lesions, along with the identification of aggressive histological types of endometrial cancer (EC), is crucial for guiding treatment strategies.Time-dependent diffusion magnetic resonance imaging (TDD-MRI), which allows the characterization of tissue microstructure at the cellular level, is not currently applied for endometrial lesions.This study aimed to evaluate TDD-MRI-derived microstructural parameters for noninvasively distinguishing benign and malignant endometrial lesions and predicting aggressive histological types of EC. Materials and Methods: This prospective study enrolled 177 patients with clinically suspected EC who underwent TDD-MRI between January 2024 and March 2025.The Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion method was used to extract microstructural parameters, including the cell diameter (d), intracellular volume fraction (vin), cellularity (number of cells per unit area), cellularity index (vin/d), and extracellular diffusivity (Dex), along with three apparent diffusion coefficient measurements.The area under the receiver operating characteristic curve (AUC) was used to assess diagnostic performance.The Pearson correlation coefficient between the microstructural parameters and histopathological measurements was calculated.Results: A total of 130 women (mean standard deviation age: 56 14 years) administered uterine curettage or surgery were included in the final analysis.All microstructural parameters showed significant differences between benign endometrial lesions and EC (P < 0.05), as well as between nonaggressive and aggressive EC (P < 0.05).Cellularity exhibited the highest AUC of 0.86 for distinguishing benign endometrial lesions from EC, whereas the cellularity index showed the highest AUC of 0.88 for distinguishing aggressive histological types.D0Hz was positively correlated with Dex (P < 0.05) and negatively correlated with diameter (P < 0.05), cellularity index (P < 0.01) and vin (P < 0.001) in patients with benign endometrial lesions.D0Hz was positively correlated with Dex (P < 0.001) and negatively correlated with vin (P < 0.001) in patients with EC.Microstructural parameters strongly correlated with corresponding pathological features (r = 0.77-0.83;P < 0.001).
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
刚刚
abcd_1067发布了新的文献求助10
刚刚
翠萍发布了新的文献求助10
刚刚
ikun123发布了新的文献求助10
1秒前
dwae完成签到,获得积分10
1秒前
1秒前
1秒前
钻石完成签到,获得积分10
3秒前
小二郎应助躺平的搬砖人采纳,获得10
4秒前
4秒前
near发布了新的文献求助10
5秒前
科研通AI2S应助幽默的寻双采纳,获得10
5秒前
HHH发布了新的文献求助10
6秒前
ynscw完成签到,获得积分10
6秒前
xxx发布了新的文献求助10
8秒前
9秒前
10秒前
陈彦珠完成签到,获得积分10
10秒前
11秒前
13秒前
13秒前
汉堡包应助嗨波采纳,获得10
14秒前
CodeCraft应助翠萍采纳,获得10
15秒前
丘比特应助alna采纳,获得10
15秒前
15秒前
隐形曼青应助文艺紫菜采纳,获得10
15秒前
yjh123应助友好的小翠采纳,获得10
17秒前
17秒前
李健的小迷弟应助paradox采纳,获得10
18秒前
搜集达人应助ding采纳,获得10
18秒前
ll完成签到,获得积分10
19秒前
qscheng发布了新的文献求助10
19秒前
20秒前
21秒前
262046858完成签到,获得积分10
21秒前
善良羿应助秦艽采纳,获得10
21秒前
1111发布了新的文献求助10
22秒前
laok发布了新的文献求助10
23秒前
24秒前
祥印发布了新的文献求助20
24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 7215004
求助须知:如何正确求助?哪些是违规求助? 8846941
关于积分的说明 18670195
捐赠科研通 6869902
什么是DOI,文献DOI怎么找? 3184425
关于科研通互助平台的介绍 2345729
邀请新用户注册赠送积分活动 2158762