Evidence map›Paper›PMID 37197709›Full record

ReviewAdvances in radiation oncology

Positron Emission Tomography (PET)/Computed Tomography (CT) Imaging in Radiation Therapy Treatment Planning: A Review of PET Imaging Tracers and Methods to Incorporate PET/CT.

Jacob Trotter, Austin R Pantel, Boon-Keng Kevin Teo, Freddy E Escorcia, Taoran Li, Daniel A Pryma, Neil K Taunk

Abstract readReview
In one paragraph

Review in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Recent advances in [Nuclear medicine and biology · 2026
    Review
  2. Article
  3. Review
  4. Radiolabeled AgScientific reports · 2026
    Article
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  6. Article
  7. Review
  8. Article
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  12. Article
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  15. CD24 as a Novel Radiopharmaceutical Target for Hepatocellular Carcinoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Jacob TrotterDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Austin R PantelDivision of Nuclear Medicine Imaging and Therapy, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Boon-Keng Kevin TeoDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Freddy E EscorciaMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Taoran LiDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Daniel A PrymaDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Neil K TaunkDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Engineering HCC-selective PET agentZIABC011800 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ESCORCIA, FREDDY · 2018 to 2025
$10.6M
NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

Purpose: Positron emission tomography (PET)/computed tomography (CT) has become a critical tool in clinical oncology with an expanding role in guiding radiation treatment planning. As its application and availability grows, it is increasingly important for practicing radiation oncologists to have a comprehensive understanding of how molecular imaging can be incorporated into radiation planning and recognize its potential limitations and pitfalls. The purpose of this article is to review the major approved positron-emitting radiopharmaceuticals clinically being used today along with the methods used for their integration into radiation therapy including methods of image registration, target delineation, and emerging PET-guided protocols such as biologically-guided radiation therapy and PET-adaptive therapy. Methods and Materials: A review approach was utilized using collective information from a broad review of the existing scientific literature sourced from PubMed search with relevant keywords and input from a multidisciplinary team of experts in medical physics, radiation treatment planning, nuclear medicine, and radiation therapy. Results: A number of radiotracers imaging various targets and metabolic pathways of cancer are now commercially available. PET/CT data can be incorporated into radiation treatment planning through cognitive fusion, rigid registration, deformable registration, or PET/CT simulation techniques. PET imaging provides a number of benefits to radiation planning including improved identification and delineation of the radiation targets from normal tissue, potential automation of target delineation, reduction of intra- and inter-observer variability, and identification of tumor subvolumes at high risk for treatment failure which may benefit from dose intensification or adaptive protocols. However, PET/CT imaging has a number of technical and biologic limitations that must be understood when guiding radiation treatment. Conclusion: For PET guided radiation planning to be successful, collaboration between radiation oncologists, nuclear medicine physicians, and medical physics is essential, as well as the development and adherence to strict PET-radiation planning protocols. When performed properly, PET-based radiation planning can reduce treatment volumes, reduce treatment variability, improve patient and target selection, and potentially enhance the therapeutic ratio accessing precision medicine in radiation therapy.

Identifiers

PMID37197709
PMCPMC10184051

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.