Evidence map›Paper›PMID 40165900›Full record

SynthesisFrontiers in oncology2025

PSMA-targeted PET imaging for brain metastases from non-prostatic solid tumors: a systematic review.

Sara Dall' Armellina, Gayane Aghakhanyan, Alessio Rizzo, Salvatore C Fanni, Giacomo Aringhieri, Lorenzo Faggioni, Dania Cioni, Emanuele Neri, Duccio Volterrani, Silvia Morbelli

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Molecular Brain Tumor Imaging Beyond [AJR. American journal of roentgenology · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. 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

10 authors.

Sara Dall' ArmellinaNuclear Medicine Unit, Service Area Department, Azienda Socio-Sanitaria Territoriale (ASST)-Rhodense P.O. Bollate, Milan, Italy.
Gayane AghakhanyanDepartment of Translational Research and of New Surgical and Medical Technology, Nuclear Medicine Unit, University of Pisa, Pisa, Italy.
Alessio RizzoDepartment of Nuclear Medicine, Candiolo Cancer Institute, Fondazione del Piemonte per l'Oncologia - Istituto di Ricovero e Cura a Carattere Scientifico (FPO-IRCCS), Turin, Italy.
Salvatore C FanniDepartment of Translational Research and of New Surgical and Medical Technology, Academic Radiology, University of Pisa, Pisa, Italy.
Giacomo AringhieriDepartment of Translational Research and of New Surgical and Medical Technology, Academic Radiology, University of Pisa, Pisa, Italy.
Lorenzo FaggioniDepartment of Translational Research and of New Surgical and Medical Technology, Academic Radiology, University of Pisa, Pisa, Italy.
Dania CioniDepartment of Translational Research and of New Surgical and Medical Technology, Academic Radiology, University of Pisa, Pisa, Italy.
Emanuele NeriDepartment of Translational Research and of New Surgical and Medical Technology, Academic Radiology, University of Pisa, Pisa, Italy.
Duccio VolterraniDepartment of Translational Research and of New Surgical and Medical Technology, Nuclear Medicine Unit, University of Pisa, Pisa, Italy.
Silvia MorbelliDepartment of Medical Sciences, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prostate-Specific Membrane Antigen (PSMA) is a transmembrane glycoprotein initially identified in prostate cancer (PCa) but also expressed in the neovasculature of various solid tumors. Recently, PSMA PET has emerged as a promising tool for detecting brain metastases (BMs) from non-prostatic cancers, offering diagnostic capabilities in addition to conventional imaging. This systematic review evaluates the role of PSMA-targeted radiopharmaceuticals in imaging BMs, highlighting their comparative diagnostic performance and exploring their potential for theranostic applications. Methods: A systematic review of the literature was conducted following PRISMA guidelines. Studies evaluating the diagnostic accuracy of PSMA PET imaging in identifying brain metastases (BMs) from non-prostatic solid tumors were included. Both full research articles and case reports were considered to capture the breadth of current evidence. The methodological quality of the included studies was assessed using the QUADAS-2 tool, and data were synthesized qualitatively. Results: The review includes 23 studies reporting on 77 BMs from diverse primary malignancies, including lung, breast, salivary gland, thyroid, kidney, and melanoma. PSMA PET demonstrated high tumor-to-background ratios (TBR), enabling superior detection of BMs compared to conventional imaging modalities such as contrast-enhanced MRI and [18F]FDG PET. In post-radiotherapy cases, PSMA PET effectively differentiated radionecrosis from tumor recurrence. Moreover, PSMA PET demonstrated superior sensitivity in detecting thyroid metastases compared to traditional scintigraphy methods, highlighting its potential in cases where standard techniques yield inconclusive results. Conclusions: PSMA PET imaging shows significant promise in improving the diagnosis and management of BMs from non-prostatic cancers. While its theranostic applications remain underexplored, initial findings suggest promising avenues for integrating PSMA PET into personalized neuro-oncology care. Future studies should focus on standardizing imaging protocols, exploring PSMA PET utility in diverse tumor subtypes, and validating its role in clinical decision-making to maximize its impact on patient outcomes.

Indexed as

brain metastasesneuro-oncologynon-prostatic solid tumorsPositron-Emission TomographyPSMA PETtheranostics

Identifiers

PMID40165900
PMCPMC11955466

What Socratic holds

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LicenceCC BY
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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 Socratic graph.