Evidence map›Paper›PMID 41284557›Full record

ReviewPET clinics2026

Toward Integrated Clinical-Computational Nuclear Medicine.

Faraz Farhadi, Shadi A Esfahani, Fereshteh Yousefirizi, Monica Luo, Pedro Esquinas Fernandez, Arkadiusz Sitek, Hamid Sabet, Babak Saboury, Arman Rahmim, Pedram Heidari

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in PET clinics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Nuclear Medicine in IRAQ: From a Pioneering Past to Future Progress.Journal of multidisciplinary healthcare · 2026
    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

10 authors.

Faraz FarhadiDepartment of Radiology, Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, 55 Fruit Street, White 427, Boston, MA 02114, USA; Department of Nuclear Oncology, Institute of Nuclear Medicine, Bethesda, MD 20815, USA.
Shadi A EsfahaniDepartment of Radiology, Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, 55 Fruit Street, White 427, Boston, MA 02114, USA.
Fereshteh YousefiriziDepartment of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada.
Monica LuoDepartment of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada.
Pedro Esquinas FernandezDepartment of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada.
Arkadiusz SitekDepartment of Radiology, Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, 55 Fruit Street, White 427, Boston, MA 02114, USA.
Hamid SabetDepartment of Radiology, Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, 55 Fruit Street, White 427, Boston, MA 02114, USA.
Babak SabouryDepartment of Nuclear Oncology, Institute of Nuclear Medicine, Bethesda, MD 20815, USA; Department of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Bethesda, MD 20892, USA.
Arman RahmimDepartment of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada; Department of Physics & Astronomy, University of British Columbia, 325 - 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Department of Radiology, University of British Columbia, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada.
Pedram HeidariDepartment of Radiology, Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, 55 Fruit Street, White 427, Boston, MA 02114, USA. Electronic address: heidari.pedram@mgh.harvard.edu.

Funding

High-performance SPECT for dynamic brain imagingR01EB034785 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Hamid Sabet · 2023 to 2026
$2.5M
Molecular Imaging of Fibrosis for Improved Treatment Planning of Pancreatic Ductal AdenocarcinomaK08CA259626 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Shadi Abdar Esfahani · 2022 to 2026
$1.3M
NCI NIH HHS K08 CA259626NIBIB NIH HHS R01 EB034785
6 · The paper itself

Abstract

The field of clinical-computational nuclear medicine is rapidly advancing, fueled by artificial intelligence, tracer kinetic modeling, radiomics, and integrated informatics. These technologies improve imaging quality, automate lesion detection, and enable personalized radiopharmaceutical therapy through physiologically based pharmacokinetic modeling and voxel-level dosimetry. Workflow automation and Natural Language Processing further enhance operational efficiency. However, successful implementation and adoption of these tools require clinical oversight to ensure accuracy, interpretability, and patient safety. This article highlights key computational innovations and emphasizes the critical role of clinician-guided evaluation in shaping the future of precision imaging and therapy.

Indexed as

Nuclear MedicineArtificial IntelligenceHumansPrecision MedicineRadiopharmaceuticalsRadiopharmaceuticalsArtificial intelligence (AI)Computational nuclear medicineNatural language processing (NLP)Personalized dosimetryPredictive modelingRadiomicsRadiopharmaceutical therapy (RPT)Workflow automation

Identifiers

PMID41284557
PMCPMC13676306

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.