Evidence map›Paper›PMID 29948048›Full record

ReviewWorld journal of urology2018

Imaging for the diagnosis and response assessment of renal tumours.

Sabrina H Rossi, Davide Prezzi, Christian Kelly-Morland, Vicky Goh

Abstract readReview
In one paragraph

Review in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
–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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Utility of PSMA PET/CT in Staging and Restaging of Renal Cell Carcinoma: A Systematic Review and Metaanalysis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Pooled it
  2. SEOM SOGUG clinical guideline for treatment of kidney cancer (2022).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Guideline
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Isoechoic Renal Tumors: A Case Report and Literature Review.Diagnostics (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Deep learning algorithm for pathological grading of renal cell carcinoma based on multi-phase enhanced CT.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  14. Review
  15. Article
  16. Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  17. Article
  18. Review
  19. 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

4 authors.

Sabrina H RossiAcademic Urology Group, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0001-7048-7158
Davide PrezziCancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-0878-2196
Christian Kelly-MorlandCancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-1197-0382
Vicky GohCancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. vicky.goh@kcl.ac.uk.ORCID http://orcid.org/0000-0002-2321-8091

Funding

Cancer Research UK 20000
6 · The paper itself

Abstract

purposeImaging plays a key role throughout the renal cell carcinoma (RCC) patient pathway, from diagnosis and staging of the disease, to the assessment of response to therapy. This review aims to summarise current knowledge with regard to imaging in the RCC patient pathway, highlighting recent advances and challenges.

methodsA literature review was performed using Medline. Particular focus was paid to RCC imaging in the diagnosis, staging and response assessment following therapy.

resultsCharacterisation of small renal masses (SRM) remains a diagnostic conundrum. Contrast-enhanced ultrasound (CEUS) has been increasingly applied in this field, as have emerging technologies such as multiparametric MRI, radiomics and molecular imaging with

conclusionThe diagnosis and characterisation of SRM and response assessment following targeted therapy for advanced RCC are key challenges which warrant further research.

Indexed as

Carcinoma, Renal CellHumansKidneyKidney NeoplasmsLymph NodesMagnetic Resonance ImagingMolecular ImagingRadiopharmaceuticalsSingle Photon Emission Computed Tomography Computed TomographyTechnetium Tc 99m SestamibiTomography, X-Ray ComputedTreatment OutcomeUltrasonographyRadiopharmaceuticalsTechnetium Tc 99m SestamibiDiagnosisImagingRenal cancerStagingTreatment response

Identifiers

PMID29948048
PMCPMC6280818

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.