Evidence map›Paper›PMID 40695971›Full record

ArticleCommunications medicine2025

Development of lesion and organ negative cast modelling technique for quality assurance and optimization of nuclear medicine images.

Roberto Fedrigo, Robin J N Coope, Guillaume Chaussé, Ingrid Bloise, Claire Gowdy, François Bénard, Arman Rahmim, Carlos F Uribe

Abstract read
In one paragraph

Article in Communications medicine, 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. Calibration and prediction of results after failed injection in SPECT renal dynamic imaging.American journal of nuclear medicine and molecular imaging · 2026
    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

8 authors.

Roberto FedrigoDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada. rfedrigo@student.ubc.ca.ORCID http://orcid.org/0000-0003-0436-3856
Robin J N CoopeCanada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, BC, Canada.
Guillaume ChausséDepartment of Functional Imaging, BC Cancer, Vancouver, BC, Canada.
Ingrid BloiseDepartment of Molecular Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.
Claire GowdyDepartment of Radiology, BC Children's Hospital, Vancouver, BC, Canada.
François BénardDepartment of Functional Imaging, BC Cancer, Vancouver, BC, Canada.
Arman RahmimDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.
Carlos F UribeDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNuclear medicine imaging allows for a wide variety of data acquisition and image generation methods in the clinical setting. Imaging phantoms are routinely used to evaluate and optimize image quality and quantitative accuracy of features, but few phantoms realistically model the anatomy or heterogeneity of target regions within patient images, such as tumours that are commonly observed in oncology. We developed a negative cast modelling (NCM) technique which enables applications such as non-standard shape tumour phantoms, organ phantoms for radiation dosimetry, and quality control phantoms with small lesions.

methodsTumour templates were derived from segmented PET images of primary mediastinal B-cell lymphoma (PMBCL) patients. Lesion segmentations were saved and 3D-printed. Negatives were developed using silicone-based molding materials, and final models cast using a composition of liquid plastic, pigment, and PET radiotracer. Images of lesions were acquired using the GE DMI PET/CT scanner, and image features were quantified.

resultsMean absolute error (MAE) for tumour volume between the original template and casted models is 13.8%, indicating that the method is reasonably accurate. The high viscosity of the liquid plastic used in the casting process establishes non-uniform tumour models, which is very useful in practice for evaluating image features related to heterogeneity. PET images using the NCM method is determined to be highly realistic by an experienced nuclear medicine physician, due to the non-standard shapes that can be established within the tumours.

conclusionsThe NCM method has potential to enable more realistic phantom studies within nuclear medicine imaging. The cost for the lymphoma tumour phantom study is less than $400 USD, making it feasible for large-scale studies.

Identifiers

PMID40695971
PMCPMC12284253

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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.