Evidence map›Paper›PMID 39848769›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2025

Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socioeconomic Dimensions of Theranostic Digital Twins.

Lidia Strigari, Jazmin Schwarz, Tyler Bradshaw, Julia Brosch-Lenz, Geoffrey Currie, Georges El-Fakhri, Abhinav K Jha, Signe Mežinska, Neeta Pandit-Taskar, Emilie Roncali and 6 more

Abstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    Review
  14. Article
  15. The Role of Artificial Intelligence in Theranostics.Journal of nuclear medicine technology · 2025
    Review
  16. Review
  17. Recommendations for Standardizing Nuclear Medicine Terminology and Data in the Era of Theranostics and Artificial Intelligence.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  18. Article
  19. CanJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  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

16 authors.

Lidia StrigariDepartment of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; lidia.strigari@aosp.bo.it.
Jazmin SchwarzDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Tyler BradshawDepartment of Radiology, University of Wisconsin-Madison, Wisconsin.
Julia Brosch-LenzInstitute of Nuclear Medicine, Glen Burnie, Maryland.
Geoffrey CurrieSchool of Dentistry and Health Sciences, Charles Sturt University, Wagga Wagga, New South Wales, Australia.
Georges El-FakhriDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut.
Abhinav K JhaDepartment of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri.
Signe MežinskaInstitute of Clinical and Preventive Medicine, University of Latvia, Riga, Latvia.
Neeta Pandit-TaskarDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Emilie RoncaliDepartment of Biomedical Engineering, University of California Davis, Davis, California.
Kuangyu ShiDepartment of Nuclear Medicine, University of Bern, Bern, Switzerland.
Carlos UribeDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Tahir YusufalyDivision of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.
Habib ZaidiDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
Arman RahmimDepartments of Radiology and Physics, University of British Columbia, Vancouver, British Columbia, Canada; and.
Babak SabouryUnited Theranostics, Bethesda, Maryland.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Computational nuclear oncology for precision radiopharmaceutical therapy (RPT) is a new frontier for theranostic treatment personalization. A key strategy relies on the possibility to incorporate clinical, biomarker, image-based, and dosimetric information in theranostic digital twins (TDTs) of patients to move beyond a one-size-fits-all approach. The TDT framework enables treatment optimization by real-time monitoring of the real-world system, simulation of different treatment scenarios, and prediction of resulting treatment outcomes, as well as facilitating collaboration and knowledge sharing among health care professionals adopting a harmonized TDT. To this aim, the major social, ethical, and regulatory challenges related to TDT implementation and adoption have been analyzed.

Indexed as

Nuclear MedicinePrecision MedicineRadiopharmaceuticalsTheranostic NanomedicineHumansRadiopharmaceuticalsdigital twinsethicalregulatoryresearch methodssocioeconomictheranostic

Identifiers

PMID39848769
PMCPMC12051771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.