Evidence map›Paper›PMID 39088129›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Bone marrow edema detection for diagnostic support of axial spondyloarthritis using MRI.

Akira Kojima, Tetsuya Tomita, Shigeyoshi Tsuji, Yuho Kadono, Kurisu Tada, Taiki Nozaki, Masashi Tamaki, Yoshinobu Koyama, Hiroaki Dobashi, Tadashi Okano and 11 more

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

21 authors.

Akira KojimaInstitute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Tetsuya TomitaGraduate School of Health Sciences, Morinomiya University of Medical Sciences, Osaka, Japan.
Shigeyoshi TsujiDepartment of Rehabilitation, Orthopedic Surgery, Psoriasis Center, Public Interest Incorporated Foundation of the Nippon Life Saiseikai Foundation, Nippon Life Hospital, Osaka, Japan.
Yuho KadonoOrthopedic Surgery, Saitama Medical University Hospital, Saitama, Japan.
Kurisu TadaDepartment of Internal Medicine and Rheumatology, Juntendo University School of Medicine, Tokyo, Japan.
Taiki NozakiDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.
Masashi TamakiDepartment of Orthopedics, Osaka University Graduate School of Medicine, Osaka, Japan.
Yoshinobu KoyamaRheumatology, Center for Autoimmune Diseases, Okayama Red Cross Hospital, Japanese Red Cross Society, Okayama, Japan.
Hiroaki DobashiDivision of Rheumatology, Department of Internal Medicine, Kagawa University Hospital, Kagawa, Japan.
Tadashi OkanoCenter for Senile Degenerative Disorders (CSDD), Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Satoshi KawaaiImmuno-Rheumatology Center, St. Luke's International Hospital, Tokyo, Japan.
Tatsuya AtsumiDepartment of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Hokkaido, Japan.
Naoto TamuraDepartment of Internal Medicine and Rheumatology, Juntendo University School of Medicine, Tokyo, Japan.
Yoshifuji MatsumotoDepartment of Rheumatology, Kuwana-City Medical Center, Mie, Japan.
Hitoshi GotoInternal Medicine, Osaka City General Hospital, Osaka, Japan.
Yoshinori TaniguchiDepartment of Endocrinology, Metabolism, Nephrology and Rheumatology, Kochi Medical School Hospital, Kochi, Japan.
Yukitaka UekiRheumatic Disease Center, Sasebo Chuo Hospital, Hakujyujikai Foundation, Nagasaki, Japan.
Michiaki TakagiDepartment of Orthopedic Surgery, Yamagata University Faculty of Medicine, Yamagata, Japan.
Kiyoshi MatsuiDepartment of Diabetes, Endoclinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Hyogo, Japan.
Kohei HagimoriEli Lilly Japan K.K., Hyogo, Japan.
Akinobu ShimizuInstitute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan. simiz@cc.tuat.ac.jp.ORCID http://orcid.org/0000-0002-2719-5923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study proposes a process for detecting slices with bone marrow edema (BME), a typical finding of axSpA, using MRI scans as the input. This process does not require manual input of ROIs and provides the results of the judgment of the presence or absence of BME on a slice and the location of edema as the rationale for the judgment.

methodsFirst, the signal intensity of the MRI scans of the sacroiliac joint was normalized to reduce the variation in signal values between scans. Next, slices containing synovial joints were extracted using a slice selection network. Finally, the BME slice detection network determines the presence or absence of the BME in each slice and outputs the location of the BME.

resultsThe proposed method was applied to 86 MRI scans collected from 15 hospitals in Japan. The results showed that the average absolute error of the slice selection process was 1.49 slices for the misalignment between the upper and lower slices of the synovial joint range. The accuracy, sensitivity, and specificity of the BME slice detection network were 0.905, 0.532, and 0.974, respectively.

conclusionThis paper proposes a process to detect the slice with BME and its location as the rationale of the judgment from an MRI scan and shows its effectiveness using 86 MRI scans. In the future, we plan to develop a process for detecting other findings such as bone erosion from MR scans, followed by the development of a diagnostic support system.

Indexed as

Axial SpondyloarthritisBone Marrow DiseasesEdemaMagnetic Resonance ImagingAdultBone MarrowFemaleHumansMaleMiddle AgedSacroiliac JointSensitivity and SpecificityAxial spondyloarthritisBone marrow edemaExplainabilityMRI

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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.