Evidence map›Paper›PMID 40831613›Full record

ReviewBMJ oncology2025

Novel radiopharmaceuticals for molecular imaging of renal cell carcinoma.

Jasmin Weindler, Muhammad Ali, Cristian Udovicich, Michael S Hofman, Shankar Siva

Abstract readReview
In one paragraph

Review in BMJ oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. [European journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Review
  3. Review
  4. Evaluation of [EJNMMI research · 2025
    Article
  5. Review
  6. 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.

Jasmin WeindlerProstate Cancer Theranostics and Imaging Centre of Excellence, Molecular Imaging and Therapeutic Nuclear Medicine, Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0001-8810-0617
Muhammad AliDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Cristian UdovicichDepartment of Radiation Oncology, GenesisCare, Melbourne, Victoria, Australia.
Michael S HofmanProstate Cancer Theranostics and Imaging Centre of Excellence, Molecular Imaging and Therapeutic Nuclear Medicine, Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Shankar SivaDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional diagnostic strategies for imaging patients with renal cell carcinoma (RCC) have predominantly relied on ultrasonography, CT and MRI. However, a paradigm shift is underway with the emergence of several new radiotracers for molecular imaging. Carbonic anhydrase IX (CA-IX) imaging and sestamibi imaging can assist with identifying malignant renal tumours, whereas fluorodeoxyglucose, prostate-specific membrane antigen and CA-IX tracers can give guidance for diagnosis and staging of RCC. These tracers can assist in enabling better decision-making by minimising overtreatment of renal masses with biopsy, better selecting patients for curative-intented management and optimising treatment for patients with oligo-metastatic disease, among other emerging indications. However, none of them is yet recommended as a standard clinical diagnostic procedure. In this review, we investigate the latest developments in molecular imaging for detecting and staging RCC, aiming to advance precision diagnosis and improve patient outcomes.

Indexed as

Medical oncologyRadiotherapyRenal cancer

Identifiers

PMID40831613
PMCPMC12359567

What OpenQuestion holds

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LicenceCC BY-NC
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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.