Evidence map›Paper›PMID 41959976›Full record

ArticleCureus2026

Evaluation of Plaque Imaging Techniques for Calcified Lesions Using MRI Termed Modified Liver Acquisition With Volume Acceleration (mLAVA).

Yoshiaki Kitazawa, Kiyofumi Yamada, Kisaki Amemiya, Yoshiaki Morita, Hiroharu Kataoka

Abstract readCase Reports
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yoshiaki KitazawaDepartment of Neurosurgery, National Cerebral and Cardiovascular Center, Suita, JPN.
Kiyofumi YamadaDepartment of Neurosurgery, National Cerebral and Cardiovascular Center, Suita, JPN.
Kisaki AmemiyaDepartment of Pathology, National Cerebral and Cardiovascular Center, Suita, JPN.
Yoshiaki MoritaDepartment of Radiology, National Cerebral and Cardiovascular Center, Suita, JPN.
Hiroharu KataokaDepartment of Neurosurgery, National Cerebral and Cardiovascular Center, Suita, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As some calcified plaques are associated with an increased risk of future ischemic events, imaging evaluation of calcified lesions is clinically important. CT and CT angiography (CTA) are commonly used for the imaging evaluation of calcified lesions. However, the exposure to ionizing radiation has been associated with an increased lifetime risk of cancer, and the use of iodinated contrast media has the potential risk of renal dysfunction. In this study, we introduce the modified Liver Acquisition With Volume Acceleration (mLAVA) sequence, which is a novel MRI sequence for detecting carotid artery calcifications. We present two cases in which the mLAVA sequence identified high-risk calcified plaques and subsequently conducted carotid endarterectomy (CEA). The first case was a 54-year-old man with symptomatic carotid artery stenosis with a rim sign who underwent CEA. The second case was an 82-year-old man with asymptomatic carotid artery stenosis associated with a calcified nodule who also underwent CEA. In both cases, preoperative assessment of the calcified lesions was performed using the mLAVA sequence, and the imaging findings are presented. Our findings suggest that the mLAVA sequence may help preoperative evaluation of plaque imaging of calcified plaques as well as evaluation by CTA, particularly in patients with renal dysfunction or radiocontrast media allergy. Further advancements that enable precise visualization of fine calcified lesions would enhance their clinical utility.

Indexed as

calcified nodulecalcified plaquecarotid artery stenosismriplaque imaging

Identifiers

PMID41959976
PMCPMC13060260

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Registered trials

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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.