Evidence map›Paper›PMID 40781021›Full record

ReviewPET clinics2025

Long Axial Field-of-view PET: A New Era of Quantitative PET Imaging for Theranostic Applications in Clinic.

Brahim Mehadji, Benjamin A Spencer, Ian Alberts, Nicolas A Karakatsanis, Emilie Roncali, Lorenzo Nardo

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in PET clinics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Detailed pharmacokinetic features of a novel bis-boronEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Large axial field of view PET/CT - Not just a longer PET gantry.Zeitschrift fur medizinische Physik · 2026
    Review
  3. 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

6 authors.

Brahim MehadjiDepartment of Radiology, University of California Davis, Sacramento, CA, USA. Electronic address: bmehadji@health.ucdavis.edu.
Benjamin A SpencerDepartment of Radiology, University of California Davis, Sacramento, CA, USA.
Ian AlbertsDepartment of Molecular Imaging and Therapy, BC Cancer, Vancouver, Canada; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Nicolas A KarakatsanisDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Emilie RoncaliDepartment of Biomedical Engineering, University of California Davis, Sacramento, CA, USA.
Lorenzo NardoDepartment of Radiology, University of California Davis, Sacramento, CA, USA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

Long axial field-of-view PET (LAFOV) PET offers a dramatic increase not only in the area simultaneously scanned at any given time and bed position but also in sensitivity compared to conventional PET, enabling, among other benefits, streamlined whole-body dynamic and multiparametric imaging, delayed acquisitions, and accurate tracer quantification with reduced injected dose. These capabilities allow more precise and complete evaluation of tumor distribution, kinetics, and heterogeneity-essential for personalizing radiopharmaceutical therapy (RPT) for optimal safety and efficacy. Current one-protocol-fits-all RPT schemes, based on fixed activity and fixed scheduling, do not account for patient-specific biology.

Indexed as

NeoplasmsPositron-Emission TomographyTheranostic NanomedicineHumansPrecision MedicineRadiopharmaceuticalsRadiopharmaceuticalsKinetic modelingLong axial field-of-view PET (LAFOV PET)MultitracerOne-protocol-fits-all therapyPersonalized therapyTheranostics

Identifiers

PMID40781021
PMCPMC12890428

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.