Evidence map›Paper›PMID 40816963›Full record

ReviewPET clinics2025

The Role of PET Image Quantification in Modern Radiation Therapy.

Ahmed Abdelrahman, Issam El Naqa

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. 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

2 authors.

Ahmed AbdelrahmanRadiology/Nuclear Medicine, Department of Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1234, New York, NY 10029, USA.
Issam El NaqaDepartment of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: issam.elnaqa@moffitt.org.

Funding

Optimal Decision Making in Radiotherapy Using Panomics AnalyticsR01CA233487 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EL NAQA, ISSAM M. · 2019 to 2023
$2.4M
NCI NIH HHS R01 CA233487
6 · The paper itself

Abstract

Radiation therapy has established itself as a key modality for definitive and palliative treatment of oncologic patients. Advanced radiation therapy techniques use sophisticated treatment planning strategies to generate 3 dimensional dose distributions, which closely fit areas of cancer and decrease the radiation exposure to normal tissues. Quantitative PET imaging with multiple tracers (eg, fluorodeoxyglucose, FMISO, and prostatic-specific membrane antigen) is playing an increasing role in radiotherapy (RT) planning before, during, and following therapy administration for improved target delineation and response assessment. Emerging technologies are integrating PET with RT delivery.

Indexed as

NeoplasmsPositron-Emission TomographyRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedFluorodeoxyglucose F18HumansRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsBiology-guided radiotherapyDeep learningDose paintingPETRadiomicsSUVTotal volume glycolysis

Identifiers

PMID40816963
PMCPMC13500106

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.