Evidence map›Paper›PMID 41307633›Full record

ArticleEJNMMI physics2025

Motion study on upright patient positioning in walk-through PET: evaluation in a clinical setting.

Rabia Aziz, Florence Marie Muller, Nadia Withofs, Jens Maebe, Meysam Dadgar, Boris Vervenne, Yves D'Asseler, Christian Vanhove, Stefaan Vandenberghe

Abstract read
In one paragraph

Article in EJNMMI physics, 2025. 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

9 authors.

Rabia AzizDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium. rabia.aziz@ugent.be.ORCID http://orcid.org/0000-0001-7042-2127
Florence Marie MullerDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Nadia WithofsDivision of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Quartier Hopital, Avenue de L'Hopital, 1, 4000, Liege, Belgium.
Jens MaebeDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Meysam DadgarDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Boris VervenneDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Yves D'AsselerDepartment of Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, Ghent, Belgium.
Christian VanhoveDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Stefaan VandenbergheDepartment of Electronics and Information Systems, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.

Funding

FWO Large-scale research infrastructure FWO Large-scale research infrastructureSphynx grant Sphynx grant
6 · The paper itself

Abstract

backgroundThe novel upright walk-through PET (WT-PET) scanner enhances patient throughput compared to the conventional cylindrical PET systems but introduces unique challenges related to patient motion. This study evaluates the rigid body motion of the head, shoulders, chest, and abdomen of patients standing in a WT-PET mock-up scanner, focusing on ergonomic features, including a headrest and hand supports, designed to minimize motion during upright imaging. To contextualize these findings, a patient study using a conventional PET scanner was conducted, along with a control healthy volunteer study involving both WT-PET and conventional PET systems.

methodsMotion data were collected from 30 patients positioned on the WT-PET, 13 patients scanned with a conventional cylindrical PET, and 12 healthy volunteers scanned with both systems. Infrared markers placed at anatomical positions tracked three-dimensional marker positions during 30-s periods of normal breathing and breath-hold instructions in the WT-PET mock-up. Conventional PET scans for patients and healthy volunteers involved 8-min acquisitions. Motion was quantified by calculating the Euclidean distance (ED) of the markers' 3D centroids.

resultsIn WT-PET patients, breath-holding significantly reduced mean abdominal motion by 24%, with mean ED decreasing from 2.31 ± 1.32 mm during normal breathing to 1.76 ± 0.81 mm during breath-holding. While only 30% of patients completed a full 30-s breath hold, 80% maintained breath holds longer than 20 s. Age was significantly correlated with increased head motion during normal breathing, whereas body mass index and gender showed no significant effects. Compared with WT-PET healthy volunteers, patient motion on the WT-PET was over three times higher for the head (0.47 ± 0.13 mm vs. 1.51 ± 2.32 mm) and 36% higher for the abdomen (1.70 ± 0.63 mm vs. 2.31 ± 1.32 mm). Relative to patients in conventional PET, WT-PET patients showed slightly lower head motion (1.55 ± 1.05 mm vs. 1.51 ± 2.32 mm), but abdominal motion was 44% lower in WT-PET (2.31 ± 1.32 mm vs. 4.12 ± 3.00 mm), underscoring both the distinct motion patterns and the specific challenges of upright imaging.

conclusionsThe upright WT-PET scanner presents distinct motion control challenges in clinical practice. This study demonstrates that combining ergonomic supports with breath-holding protocols can effectively reduce patient motion during upright PET imaging; however, a full 30-s breath-hold is not feasible for 70% of patients. Since 50% of patients were able to perform a moderate breath-hold, a two-step acquisition can be performed, each comprising 15 s. Moreover, including a healthy volunteer control group and comparisons with conventional PET confirm both the feasibility and the current limitations of the WT-PET.

Indexed as

Breath-holdingInfrared-based localizationMotion trackingUpright imagingWalk-through PET

Identifiers

PMID41307633
PMCPMC12660553

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.