Evidence map›Paper›PMID 38590664›Full record

ArticleFrontiers in oncology2024

Image quality evaluation for a clinical organ-targeted PET camera.

Brandon Baldassi, Harutyun Poladyan, Anirudh Shahi, Henry Maa-Hacquoil, Madeline Rapley, Borys Komarov, Justin Stiles, Vivianne Freitas, Michael Waterston, Olexiy Aseyev and 2 more

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Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Review
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

12 authors at 4 institutions in 1 country.

Brandon BaldassiDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Harutyun PoladyanDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Anirudh ShahiDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Henry Maa-HacquoilDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Madeline RapleyDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Borys KomarovRadialis Inc., Thunder Bay, ON, Canada.
Justin StilesDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Vivianne FreitasDepartment of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, Toronto, ON, Canada.
Michael WaterstonRadialis Inc., Thunder Bay, ON, Canada.
Olexiy AseyevDepartment of Medical Oncology, Thunder Bay Regional Health Sciences Center, Thunder Bay, ON, Canada.
Alla ReznikDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Oleksandr BubonDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Lakehead University · CAThunder Bay Regional Health Sciences Centre · CAThunder Bay Regional Research Institute · CAWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A newly developed clinical organ-targeted Positron Emission Tomography (PET) system (also known as Radialis PET) is tested with a set of standardized and custom tests previously used to evaluate the performance of Positron Emission Mammography (PEM) systems. Methods: Imaging characteristics impacting standardized uptake value (SUV) and detectability of small lesions, namely spatial resolution, linearity, uniformity, and recovery coefficients, are evaluated. Results: In-plane spatial resolution was measured as 2.3 mm ± 0.1 mm, spatial accuracy was 0.1 mm, and uniformity measured with flood field and NEMA NU-4 phantom was 11.7% and 8.3% respectively. Selected clinical images are provided as reference to the imaging capabilities under different clinical conditions such as reduced activity of 2-[fluorine-18]-fluoro-2-deoxy-D-glucose ( Discussion: Demonstrated ability to accurately reconstruct activity in tumors as small as 5 mm suggests that the Radialis PET technology may be well suited for emerging clinical applications such as image guided assessment of response to neoadjuvant systemic treatment (NST) in lesions smaller than 2 cm. Also, our results suggest that, while spatial resolution greatly influences the partial volume effect which degrades contrast recovery, optimized count rate performance and image reconstruction workflow may improve recovery coefficients for systems with comparable spatial resolution. We emphasize that recovery coefficient should be considered as a primary performance metric when a PET system is used for accurate lesion size or radiotracer uptake assessments.

Indexed as

NSTorgan-targeted PETPEMPETrecovery coefficient

Identifiers

PMID38590664
PMCPMC10999605
OpenAlexW4393157057

What OpenQuestion holds

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Registered trials

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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.