Evidence map›Paper›PMID 37609047›Full record

ArticleEuropean journal of radiology open2023

Fat fraction and R2 * values of various liver masses: Initial experience with 6-point Dixon method on a 3T MRI system.

Taichi Kitagawa, Kazuto Kozaka, Takashi Matsubara, Tetsuya Wakayama, Atsushi Takamatsu, Tomohiro Kobayashi, Kenichiro Okumura, Kotaro Yoshida, Norihide Yoneda, Azusa Kitao and 4 more

Abstract read
In one paragraph

Article in European journal of radiology open, 2023. 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. Article
  2. 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

14 authors.

Taichi KitagawaDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Kazuto KozakaDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Takashi MatsubaraDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Tetsuya WakayamaApplied Science Laboratory Japan and Vascular MR, MR Clinical Solutions and Research Collaborations, GE HealthCare, 4-7-127, Asahigaoka, Hino, Tokyo 191-8503, Japan.
Atsushi TakamatsuDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Tomohiro KobayashiDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Kenichiro OkumuraDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Kotaro YoshidaDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Norihide YonedaDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Azusa KitaoDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Satoshi KobayashiDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Toshifumi GabataDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Osamu MatsuiDepartment of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Jay P HeikenDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200, First Street SW, Rochester, MN 55905, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To assess the feasibility of the 6-point Dixon method for evaluating liver masses. We also report our initial experience with the quantitative values in various liver masses on a 3T system. Materials and methods: Of 251 consecutive patients for whom 6-point Dixon was employed in abdominal magnetic resonance imaging scans between October 2020 and October 2021, 117 nodules in 117 patients with a mass diameter of more than 1 cm were included in the study. Images for measuring the proton density fat fraction (PDFF) and R2 * values were obtained using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-quantitative technique for liver imaging. Two radiologists independently measured PDFF (%) and R2 * (Hz). Inter-reader agreement and the differences between readers were examined using intra-class correlation coefficient (ICC) and the Bland-Altman method, respectively. PDFF and R2 * values in differentiating liver masses were examined. Results: The masses included hepatocellular carcinoma (n = 59), cyst (n = 20), metastasis (n = 14), hemangioma (n = 8), and others (n = 16). The ICCs for the region of interest (mm Conclusion: Our observation indicates that the 6-point Dixon method is applicable to liver masses.

Indexed as

Chemical shift imagingChemotherapyImage enhancementLipid dropletsLiver neoplasms

Identifiers

PMID37609047
PMCPMC10440393

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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.