Evidence map›Paper›PMID 41236586›Full record

ArticleRadiological physics and technology2026

Automatic measurement of pharyngeal contraction ratio during deglutition using 2D cine MRI with deep learning: A pilot study.

Masato Takahashi, Naoka Miyamoto, Norikazu Koori, Masahiko Monma, Yoshiyuki Ishimori, Hiraku Fuse, Shin Miyakawa, Kenji Yasue, Hiroki Nosaka, Shinji Abe

Abstract read
PubMed Publisher
In one paragraph

Article in Radiological physics and technology, 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

10 authors.

Masato TakahashiDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan. takahashima@ipu.ac.jp.ORCID http://orcid.org/0009-0004-7437-6665
Naoka MiyamotoDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Norikazu KooriDepartment of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata, Japan.
Masahiko MonmaDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Yoshiyuki IshimoriDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Hiraku FuseDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Shin MiyakawaDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Kenji YasueDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Hiroki NosakaDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.
Shinji AbeDepartment of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Amimachi, Ibaraki, 300-0394, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop a deep learning-based method for automatic segmentation of the pharyngeal area (PA) and measurement of the pharyngeal contraction ratio (PCR) during deglutition using cine magnetic resonance imaging (MRI). The proposed algorithm combines PA region extraction by a 2D U-Net with automatic calculation of PA and PCR. Segmentation performance was evaluated using the Dice coefficient (DC), and the PCR measured by the model ([Formula: see text]) was compared with that obtained manually ([Formula: see text]) using correlation and Bland-Altman analyses. Cine MRI data of 20 healthy adults (10 men, 10 women; age 22-29 years) were analyzed. The average DC in the test cases was 0.890 ± 0.025, and the PA of the model correlated well with the manual reference (r = 0.70-0.97). The mean [Formula: see text] was 0.105 ± 0.035, consistent with values reported in videofluoroscopic swallowing studies. These results demonstrate the technical feasibility of automatic PCR measurement from cine MRI using deep learning.

Indexed as

Deep LearningDeglutitionMagnetic Resonance Imaging, CineMuscle ContractionPharynxAdultAutomationFemaleHumansImage Processing, Computer-AssistedMalePilot ProjectsYoung AdultCine magnetic resonance imagingDeep learningDeglutitionPharyngeal areaPharyngeal contraction ratio

Identifiers

PMID41236586

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.