Evidence map›Paper›PMID 42223523›Full record

ArticleNeuroradiology2026

Clinical feasibility of contrast-enhanced 7 T MPRAGE with universal pulses for intracranial tumor imaging: a preliminary study.

Caohui Duan, Jing Zhang, Xiangbing Bian, Jianxing Hu, Guoli Liu, Xiaojun Yu, Song Wang, Qi Duan, Zhixuan Li, Yongqin Xiong and 3 more

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Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Caohui Duan *Department of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jing Zhang *Department of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiangbing BianDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jianxing HuDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Guoli LiuDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiaojun YuDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Song WangDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Qi DuanDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Zhixuan LiDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yongqin XiongDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jinhao LyuDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jianxun QuResearch Collaboration Team, Siemens Healthineers (China), Beijing, China.
Xin LouDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China. louxin@301hospital.com.cn.

Funding

National Natural Science Foundation of China 82327803National Natural Science Foundation of China 82572167
6 · The paper itself

Abstract

purposeContrast-enhanced 7T MPRAGE is promising for imaging intracranial tumor but suffers from strong intensity inhomogeneities. This study investigated the clinical feasibility of contrast-enhanced 7T MPRAGE with universal pulses (UP) for intracranial tumor imaging.

methodsContrast-enhanced 7T MPRAGE images with conventional circularly polarized (CP) and UP modes were prospectively obtained from patients with known or suspected infratentorial tumors. Two radiologists and a radiology trainee evaluated qualitative image quality scores of the CP and UP images in terms of overall image quality, artifacts, lesion conspicuity, and visualization of cerebellum based on 5-point Likert scales. Contrast ratios (CRs) of enhancing lesion to white matter (CR

resultsFifty-two patients with various infratentorial tumors were included in this study. Contrast-enhanced 7T MPRAGE with UP provided homogeneous image contrast throughout the brain, and clear delineation of enhancing lesions in infratentorial regions. Compared to conventional CP images, UP images achieved higher image quality scores in terms of overall image quality, lesion conspicuity, and visualization of cerebellum scores (p < 0.001), with no significant difference in artifacts scores (p = 0.394). Meanwhile, UP images achieved significantly improved CR

conclusionUP can be used to generate high-quality and homogeneous contrast-enhanced 7T MPRAGE images for visualization of intracranial enhancing lesions in oncology patients.

Indexed as

Brain NeoplasmsImage EnhancementMagnetic Resonance ImagingAdolescentAdultAgedContrast MediaFeasibility StudiesFemaleHumansMaleMiddle AgedPreliminary DataProspective StudiesContrast Media7 T MRIContrast-enhanced MRIMPRAGEUltra-high fieldUniversal pulses

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.