Evidence map›Paper›PMID 42046230›Full record

ReviewThe British journal of radiology2026

Realization of long axial field-of-view PET technology in the clinic and research environment.

Florence M Muller, Margaret E Daube-Witherspoon, Elizabeth J Li, Austin R Pantel, Joel S Karp

Abstract readReview
In one paragraph

Review in The British journal of radiology, 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

5 authors.

Florence M MullerDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, United States.
Margaret E Daube-WitherspoonDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, United States.ORCID 0000-0002-6318-2054
Elizabeth J LiDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, United States.
Austin R PantelDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, United States.
Joel S KarpDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, United States.

Funding

Time-of-Flight PET for Improved Whole-Body ImagingR01CA113941 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JOEL S KARP, Suleman Surti · 2006 to 2026
$9.8M
Dual-tracer multiparametric imaging with a long-axial field-of-view PET to better characterize cancerR37CA291948 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Austin Pantel · 2025 to 2026
$1.2M
NCI NIH HHS R01 CA113941NCI NIH HHS R37 CA291948NIH HHS R01 CA113941NIH HHS R01 CA291948Research Foundation Flanders 11P0E24N0
6 · The paper itself

Abstract

Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conventional PET scanners, allowing for reduced scan time and/or reduced radiotracer dose. The long axial coverage also permits multiorgan dynamic imaging with fine temporal sampling. In this article, we discuss how the technical advantages of long AFOV PET instruments are being realized in the clinic and exploited in research studies. We describe some practical considerations for these systems in the clinic, as well as their benefits beyond the clinic. We consider alternate scanner designs to mitigate the high cost of long AFOV systems currently in use and describe how deep learning is being applied to long AFOV PET studies to reduce image noise, allowing for even shorter scans to minimize motion, aid in dynamic imaging applications, and image generation. We conclude with some ideas on what future developments may be on the horizon for long AFOV PET.

Indexed as

Positron-Emission TomographyPositron Emission Tomography Computed TomographyDeep LearningEquipment DesignHumansImage Processing, Computer-Assisteddeep learninglong axial field-of-view PETPET/CTreconstructiontotal-body PETwhole-body dynamic imaging

Identifiers

PMID42046230
PMCPMC13435332

What OpenQuestion holds

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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.