Evidence map›Paper›PMID 33923839›Full record

ReviewInternational journal of molecular sciences2021

PET Molecular Imaging: A Holistic Review of Current Practice and Emerging Perspectives for Diagnosis, Therapeutic Evaluation and Prognosis in Clinical Oncology.

Valentin Duclos, Alex Iep, Léa Gomez, Lucas Goldfarb, Florent L Besson

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 84 citations in OpenAlex.

  1. Recent advances in [Nuclear medicine and biology · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Knowledge and attitudes toward [BMC medical education · 2025
    Article
  20. Review of multimodal machine learning approaches in healthcare.An international journal on information fusion · 2025
    Article
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 at 3 institutions in 1 country.

Valentin DuclosDepartment of Biophysics and Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris Saclay, Assistance Publique-Hôpitaux de Paris, CHU Bicêtre, 94270 Le Kremlin-Bicêtre, France.
Alex IepDepartment of Biophysics and Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris Saclay, Assistance Publique-Hôpitaux de Paris, CHU Bicêtre, 94270 Le Kremlin-Bicêtre, France.
Léa GomezDepartment of Biophysics and Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris Saclay, Assistance Publique-Hôpitaux de Paris, CHU Bicêtre, 94270 Le Kremlin-Bicêtre, France.
Lucas GoldfarbService Hospitalier Frédéric Joliot-CEA, 91401 Orsay, France.
Florent L BessonDepartment of Biophysics and Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris Saclay, Assistance Publique-Hôpitaux de Paris, CHU Bicêtre, 94270 Le Kremlin-Bicêtre, France.ORCID 0000-0002-9826-3890
Assistance Publique – Hôpitaux de Paris · FRCentre National de la Recherche Scientifique · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PET/CT molecular imaging has been imposed in clinical oncological practice over the past 20 years, driven by its two well-grounded foundations: quantification and radiolabeled molecular probe vectorization. From basic visual interpretation to more sophisticated full kinetic modeling, PET technology provides a unique opportunity to characterize various biological processes with different levels of analysis. In clinical practice, many efforts have been made during the last two decades to standardize image analyses at the international level, but advanced metrics are still under use in practice. In parallel, the integration of PET imaging with radionuclide therapy, also known as radiolabeled theranostics, has paved the way towards highly sensitive radionuclide-based precision medicine, with major breakthroughs emerging in neuroendocrine tumors and prostate cancer. PET imaging of tumor immunity and beyond is also emerging, emphasizing the unique capabilities of PET molecular imaging to constantly adapt to emerging oncological challenges. However, these new horizons face the growing complexity of multidimensional data. In the era of precision medicine, statistical and computer sciences are currently revolutionizing image-based decision making, paving the way for more holistic cancer molecular imaging analyses at the whole-body level.

Indexed as

HumansMultimodal ImagingNeoplasmsPositron-Emission TomographyPrecision MedicineRadiopharmaceuticalsRadiopharmaceuticalscomputer sciencemolecular imagingmultimodalityPETquantificationtheranostics

Identifiers

PMID33923839
PMCPMC8073681
OpenAlexW3154599582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.