Evidence map›Paper›PMID 40065665›Full record

ReviewCurrent opinion in oncology2025

Role of PSMA PET/CT in imaging and management of prostate cancer.

Nadine El Hoyek, Xiaolei Shi, Jason Jenkins, Wengen Chen

Abstract readReview
In one paragraph

Review in Current opinion in oncology, 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

4 authors.

Nadine El HoyekDepartment of Diagnostic Radiology and Nuclear Medicine.
Xiaolei ShiDivision of Hematology & Oncology, Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jason JenkinsDepartment of Diagnostic Radiology and Nuclear Medicine.
Wengen ChenDepartment of Diagnostic Radiology and Nuclear Medicine.

Funding

Training Grant in Cancer BiologyT32CA154274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Toni M Antalis, CURT I CIVIN · 2011 to 2026
$6.8M
NCI NIH HHS T32 CA154274
6 · The paper itself

Abstract

purpose of reviewIn the era of precision medicine, the introduction of FDA-approved prostate-specific membrane antigen (PSMA) targeting tracers has revolutionized prostate cancer imaging. These tracers enable functional positron emission tomography (PET) imaging, allowing for precise identification of the location and extent of prostate cancer spread. This review serves as a practical guide for multidisciplinary teams caring for prostate cancer patients, outlining the current approved uses of PET imaging with PSMA tracers and exploring its future applications. RECENT

findingsPSMA PET/CT has become a reliable modality for initial staging in patients with intermediate-to-high risk prostate cancer, restaging in cases of biochemical recurrence and further clarifying disease status among patients with conventional imaging based nonmetastatic castrate resistant prostate cancer and metastatic prostate cancer. Additionally, it has promising roles in selecting patients for radioligand therapy, monitoring treatment response, and guiding therapeutic decision-making. SUMMARY: PSMA PET/CT is currently a crucial imaging tool used at key stages of prostate cancer management, with ongoing research exploring its potential for additional clinical applications.

Indexed as

Antigens, SurfaceGlutamate Carboxypeptidase IIPositron Emission Tomography Computed TomographyProstatic NeoplasmsHumansMaleAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase IImolecular imagingPET/CTprostate cancerprostate-specific membrane antigen

Identifiers

PMID40065665
PMCPMC13034486

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.