Evidence map›Paper›PMID 39172167›Full record

ArticleNeuroradiology2025

Artificial intelligence-assisted volume isotropic simultaneous interleaved bright- and black-blood examination for brain metastases.

Kazufumi Kikuchi, Osamu Togao, Yoshitomo Kikuchi, Koji Yamashita, Daichi Momosaka, Kazunori Fukasawa, Shunsuke Nishimura, Hiroyuki Toyoda, Makoto Obara, Akio Hiwatashi and 1 more

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In one paragraph

Article in Neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kazufumi KikuchiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. kikuchi.kazufumi.953@m.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0003-1292-1846
Osamu TogaoDepartment of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.ORCID http://orcid.org/0000-0002-5910-7852
Yoshitomo KikuchiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.ORCID http://orcid.org/0000-0002-9512-5417
Koji YamashitaDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.ORCID http://orcid.org/0000-0002-7417-739X
Daichi MomosakaDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.ORCID http://orcid.org/0000-0002-9846-8693
Kazunori FukasawaDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Shunsuke NishimuraDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Hiroyuki ToyodaDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Makoto ObaraPhilips Japan Ltd., 2-13-37, Konan, Minato-ku, Tokyo, 108-8507, Japan.ORCID http://orcid.org/0000-0001-7367-6122
Akio HiwatashiDepartment of Radiology, Graduate School of Medical Sciences, Nagoya City University, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan.ORCID http://orcid.org/0000-0001-5400-5083
Kousei IshigamiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.ORCID http://orcid.org/0000-0001-8107-5570

Funding

GE Healthcare Pharma Educational Grant N/AJapan Society for the Promotion of Science London 20K16791, 21K07645Philips Japan, Ltd. N/AShin-Nihon Foundation of Advanced Medical Research N/A
6 · The paper itself

Abstract

purposeTo verify the effectiveness of artificial intelligence-assisted volume isotropic simultaneous interleaved bright-/black-blood examination (AI-VISIBLE) for detecting brain metastases.

methodsThis retrospective study was approved by our institutional review board and the requirement for written informed consent was waived. Forty patients were included: 20 patients with and without brain metastases each. Seven independent observers (three radiology residents and four neuroradiologists) participated in two reading sessions: in the first, brain metastases were detected using VISIBLE only; in the second, the results of the first session were comprehensively evaluated by adding AI-VISIBLE information. Sensitivity, diagnostic performance, and false positives/case were evaluated. Diagnostic performance was assessed using a figure-of-merit (FOM). Sensitivity and false positives/case were evaluated using McNemar and paired t-tests, respectively.

resultsThe McNemar test revealed a significant difference between VISIBLE with/without AI information (P < 0.0001). Significantly higher sensitivity (94.9 ± 1.7% vs. 88.3 ± 5.1%, P = 0.0028) and FOM (0.983 ± 0.009 vs. 0.972 ± 0.013, P = 0.0063) were achieved using VISIBLE with AI information vs. without. No significant difference was observed in false positives/case with and without AI information (0.23 ± 0.19 vs. 0.18 ± 0.15, P = 0.250). AI-assisted results of radiology residents became comparable to results of neuroradiologists (sensitivity, FOM: 85.9 ± 3.4% vs. 90.0 ± 5.9%, 0.969 ± 0.016 vs. 0.974 ± 0.012 without AI information; 94.8 ± 1.3% vs. 95.0 ± 2.1%, 0.977 ± 0.010 vs. 0.988 ± 0.005 with AI information, respectively).

conclusionAI-VISIBLE improved the sensitivity and performance for diagnosing brain metastases.

Indexed as

Artificial IntelligenceBrain NeoplasmsImage Interpretation, Computer-AssistedMagnetic Resonance ImagingAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityArtificial intelligenceBrain metastasesConvolutional neural networkVolume isotropic simultaneous interleaved bright-/black-blood examination

Identifiers

PMID39172167
PMCPMC11893687

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LicenceCC BY-NC-ND
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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.