Evidence map›Paper›PMID 41428275›Full record

ArticleMagma (New York, N.Y.)2026

Impact of contrast transit time on late arterial phase timing in Gd-EOB-DTPA-enhanced MRI.

Tomokazu Takeuchi, Soma Kumasaka, Yasuhiro Fukushima, Daisuke Ozaki, Yusuke Sato, Yuka Kumasaka, Kouichi Ujita, Takayuki Suto, Yoshito Tsushima

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Article in Magma (New York, N.Y.), 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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5 · Who and what money

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9 authors.

Tomokazu TakeuchiDepartment of Radiology, Gunma University Hospital, 3-39-15 Showa-machi, Maebashi, Gunma, Japan. t-takeuchi@gunma-u.ac.jp.ORCID http://orcid.org/0000-0002-0623-9974
Soma KumasakaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.
Yasuhiro FukushimaDepartment of Applied Medical Imaging, Gunma University Graduate School of Medicine, Maebashi, Japan.
Daisuke OzakiDepartment of Radiology, Gunma University Hospital, 3-39-15 Showa-machi, Maebashi, Gunma, Japan.
Yusuke SatoDepartment of Radiology, Gunma University Hospital, 3-39-15 Showa-machi, Maebashi, Gunma, Japan.
Yuka KumasakaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.
Kouichi UjitaDepartment of Radiology, Gunma University Hospital, 3-39-15 Showa-machi, Maebashi, Gunma, Japan.
Takayuki SutoDepartment of Radiology, Gunma University Hospital, 3-39-15 Showa-machi, Maebashi, Gunma, Japan.
Yoshito TsushimaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the physiological factors affecting the timing of late arterial phase imaging in gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic acid-enhanced MRI (EOB-MRI), with a focus on contrast transit times.

methodsThis retrospective study included 122 patients who underwent EOB-MRI between April and September 2024. Contrast transit times from the right atrium to the left ventricle (RA-LV time) and to the celiac artery (RA-CeA time) were measured using real-time bolus-tracking images. Using vascular enhancement patterns, the late arterial phase timing was visually assessed and categorized as Early, Appropriate, or Delayed. Differences among the imaging timing groups were analyzed using analysis of variance (ANOVA) and post hoc Welch's t tests with Holm correction, with a significance threshold of p < 0.05.

resultsMean RA-LV times (mean ± SD, range) were 7.0 ± 1.1 s (5.0-9.0 s), 5.2 ± 0.9 s (4.0-8.0 s), and 4.7 ± 0.6 s (4.0-6.0 s) for the Early, Appropriate, and Delayed groups, respectively; significant differences were observed between Early vs. Appropriate (p < 0.001) and Appropriate vs. Delayed (p = 0.02). Correspondingly, RA-CeA times were 12.4 ± 2.0 s (10.0-15.0 s), 8.9 ± 1.8 s (5.0-14.0 s), and 7.7 ± 1.1 s (6.0-10.0 s), respectively, with significant differences between Early vs. Appropriate (p < 0.001) and Appropriate vs. Delayed (p = 0.001). Additionally, significant differences in sex and height were observed between the Early and Appropriate groups (p < 0.01). No other variables showed significant differences.

conclusionContrast transit times significantly affect the appropriateness of late arterial phase imaging in EOB-MRI. Incorporating individualized transit time assessment alongside conventional bolus tracking may improve the consistency of late arterial phase acquisition and enhance the performance for diagnosing hepatic tumors.

Indexed as

Contrast MediaGadolinium DTPAMagnetic Resonance ImagingAdultAgedAged, 80 and overFemaleHumansImage EnhancementMaleMiddle AgedRetrospective StudiesTime FactorsContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAContrast transit timeEOB-MRILate arterial phase

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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.