Evidence map›Paper›PMID 39971311›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2025

Improved Assessment of Juxtacortical Lesions in Multiple Sclerosis Using Highly-accelerated High-resolution Double Inversion Recovery MR Imaging with Deep Learning-based Reconstruction.

Tomohiro Shintaku, Satoru Ide, Haruka Nagaya, Yuka Ishimoto, Keita Watanabe, Kazuhiko Oyu, Sera Kasai, Yoshihito Umemura, Miho Sasaki, Kana Saito and 8 more

Abstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Recent Advances in Musculoskeletal Radiology: Bridging Innovation and Clinical Application.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Review
  2. Enhanced Visualization of Intracranial Cortical Arteries Using Deep Learning Reconstruction in Vessel Wall MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
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

18 authors.

Tomohiro ShintakuDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Satoru IdeDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Haruka NagayaDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Yuka IshimotoDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Keita WatanabeDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Kazuhiko OyuDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Sera KasaiDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Yoshihito UmemuraDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Miho SasakiDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Kana SaitoDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Amo OzawaDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
Atsushi NozakiGE HealthCare, Hino, Tokyo, Japan.
Xucheng ZhuGE HealthCare, Menlo Park, CA, USA.
Tetsuya WakayamaGE HealthCare, Hino, Tokyo, Japan.
Haruo NishijimaDepartment of Neurology, Hirosaki University School of Medicine, Hirosaki, Aomori, Japan.
Chieko SuzukiDepartment of Neurology, Hirosaki University School of Medicine, Hirosaki, Aomori, Japan.
Masahiko TomiyamaDepartment of Neurology, Hirosaki University School of Medicine, Hirosaki, Aomori, Japan.
Shingo KakedaDepartment of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecently, a novel deep learning (DL)-based technique for reconstructing highly undersampled MR data (DL-Speed, DLS) has been developed, which demonstrated superior performance over compressed sensing. This study aimed to achieve high-resolution double inversion recovery (DIR) imaging using DLS (DLS-DIR) and compare its diagnostic performance in the detection of juxtacortical multiple sclerosis (MS) lesions with that of conventional DIR (C-DIR).

methodsWe retrospectively analyzed MRI data from 25 patients with MS who underwent a comprehensive imaging protocol, including 3D fluid-attenuated inversion recovery (FLAIR), C-DIR, and DLS-DIR. A voxel size of 1.3 × 1.3 × 1.4 mm

resultsDLS-DIR detected a significantly higher number of juxtacortical MS lesions compared to C-DIR (Radiologist A: 211 lesions vs. 164 lesions; Radiologist B: 209 lesions vs. 157 lesions, P < 0.05). DLS-DIR also identified more intracortical lesions (Radiologist A: 22 additional lesions, Radiologist B: 34 additional lesions, P < 0.05) and more mixed lesions (Radiologist A: 46 additional lesions, Radiologist B: 42 additional lesions, P < 0.05).

conclusionThe DLS technology enables high-resolution, whole-brain DLS-DIR imaging within a 5 mins acquisition time, which can be seamlessly incorporated into routine clinical workflows. This approach substantially enhances the detection and evaluation of juxtacortical MS lesions.

Indexed as

Deep LearningImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingMultiple SclerosisAdultBrainFemaleHumansImaging, Three-DimensionalMaleMiddle AgedRetrospective StudiesWhite Matterbraincortical lesionsjuxtacortical lesionsmagnetic resonance imagingmultiple sclerosis

Identifiers

PMID39971311
PMCPMC12671228

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.