Evidence map›Paper›PMID 40665198›Full record

ArticlePhysical and engineering sciences in medicine2025

Yuta Kaneko, Kenta Miwa, Tensho Yamao, Noriaki Miyaji, Ryuichi Nishii, Kana Yamazaki, Noriko Nishikawa, Masanori Yusa, Tatsuya Higashi

Abstract read
PubMed Publisher
In one paragraph

Article in Physical and engineering sciences 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. Inter-institutional variability in kidney dosimetry duringRadiological physics and technology · 2026
    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

9 authors.

Yuta KanekoDepartment of Radiology, Fukushima Medical University Hospital, 1 Hikarigaoka, Fukushima, Fukushima, 960-1247, Japan.
Kenta MiwaDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-shi, Fukushima, 960- 8516, Japan. kmiwa@fmu.ac.jp.ORCID http://orcid.org/0000-0003-0802-0180
Tensho YamaoDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-shi, Fukushima, 960- 8516, Japan.
Noriaki MiyajiDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-shi, Fukushima, 960- 8516, Japan.
Ryuichi NishiiBiomedical Imaging Sciences, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Tokai National Education and Research System, Higashi-ku, Nagoya, Japan.
Kana YamazakiDepartment of Molecular Imaging and Theranostics, National Institute of Radiological Sciences (NIRS), National Institutes for Quantum and Radiological Science and Technology (QST), 4-9-1, Anagawa, Inage-ku, Chiba, 263-0024, Japan.
Noriko NishikawaDepartment of Radiological Sciences, International University of Health and Welfare, 2600-1 Kitakanemaru, Otawara, Tochigi, Japan.
Masanori YusaDepartment of Radiology, Fukushima Medical University Hospital, 1 Hikarigaoka, Fukushima, Fukushima, 960-1247, Japan.
Tatsuya HigashiDepartment of Molecular Imaging and Theranostics, National Institute of Radiological Sciences (NIRS), National Institutes for Quantum and Radiological Science and Technology (QST), 4-9-1, Anagawa, Inage-ku, Chiba, 263-0024, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ segmentation using

Indexed as

Deep LearningFluorodeoxyglucose F18Image Processing, Computer-AssistedLiverPositron-Emission TomographyAgedFemaleHumansMaleMiddle AgedSignal-To-Noise RatioFluorodeoxyglucose F1818F-FDGDeep-LearningPETSegmentation

Identifiers

PMID40665198

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.