Evidence map›Paper›PMID 42667562›Full record

ArticleJapanese journal of radiology2026

Metabolic syndrome: comparison of diagnostic capability among waist circumference and supine and upright multidetector computed tomography.

Yoshiharu Ohno, Yoshiyuki Ozawa, Yusuke Seino, Hirona Kimata, Yuya Ito, Kenji Fujii, Junichiro Araoka, Naruomi Akino, Masahiko Nomura, Takahiro Ueda and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Japanese journal of radiology, 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

14 authors.

Yoshiharu OhnoDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. yohno@fujita-hu.ac.jp.ORCID http://orcid.org/0000-0002-4431-1084
Yoshiyuki OzawaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.ORCID http://orcid.org/0000-0002-8252-1947
Yusuke SeinoDepartments of Endocrinology, Diabetes and Metabolism, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0002-8141-1850
Hirona KimataCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0009-0002-9959-8235
Yuya ItoCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0000-0002-1292-3166
Kenji FujiiCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0000-0001-6603-6362
Junichiro AraokaCanon Medical Systems Corporation, Otawara, Tochigi, Japan.
Naruomi AkinoCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0000-0002-7413-2095
Masahiko NomuraDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.ORCID http://orcid.org/0000-0003-1931-8740
Takahiro UedaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.ORCID http://orcid.org/0000-0003-2577-3619
Takeshi YoshikawaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.ORCID http://orcid.org/0000-0001-5560-5371
Daisuke TakenakaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.ORCID http://orcid.org/0000-0002-9432-7180
Hitomi SasakiInternational Medical Center, Fujita Health University Hospital, Toyoake, Aichi, Japan.
Atsushi SuzukiDepartments of Endocrinology, Diabetes and Metabolism, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0003-0807-199X

Funding

Canon Medical Systems Corporation Canon Medical Systems Corporation
6 · The paper itself

Abstract

purposeMetabolic syndrome (MetS) is screened for or assessed by manual waist circumference (WC) measurements or adipose tissue evaluation using supine multidetector CT (MDCT). Currently, upright MDCT was clinically established and tested for different clinical aims. The purpose of this study was to directly compare the utility of metabolic disorder assessments and the diagnosis of MetS among WC, upright MDCT, and supine MDCT in a Japanese health checkup test cohort. MATERIALS AND

methodsThis study cohort consisted of 47 consecutive subjects who underwent WC measurements, blood tests, upright MDCT, and supine MDCT on the same day. In each subject, the total fat area (TFA), subcutaneous fat area (SFA), visceral fat area (VFA), and visceral-to-subcutaneous fat ratio (VSR) were semi-automatically assessed using upright MDCT and supine MDCT data. To compare each index on both CTs, as well as manual WC measurements between the MetS and non-MetS groups, Student's t-test was performed. Univariate regression analyses were performed to evaluate the relationship between each index and blood test results. Subsequently, receiver operating characteristic (ROC)-based positive tests were performed. Finally, the sensitivity, specificity, and accuracy were compared among all indexes from both CTs, and a manual WC measurement evaluation was conducted using McNemar's test.

resultsSome indices showed significant differences between two groups (p < 0.05). All indices shows significant correlations with BMI, TG, HDL-cholesterol, uric acid, glucose, HbA1c, insulin, HOMA-IR, GOT (or AST), GPT (or ALT), or creatinine (manual WC measurement: - 0.58 ≤ r ≤ 0.87, p < 0.05; supine MDCT: - 0.61 ≤ r ≤ 0.84, p < 0.05; upright MDCT: - 0.64 ≤ r ≤ 0.91, p < 0.05). TFA and VFA on upright MDCT had significantly higher sensitivities than WCs determined from manual and supine MDCT as well as the VSR (p < 0.05).

conclusionUpright MDCT-derived adipose tissue indices showed preliminary potential for assessing metabolic syndrome, but larger prospective studies are needed to validate their clinical utility.

Indexed as

Adipose tissueBody compositionComputed tomographyMetabolic syndromeX-ray

Identifiers

What OpenQuestion holds

Textmetadata
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.