Evidence map›Paper›PMID 39461869›Full record

ArticleBMJ open2024

Multiarm, non-randomised, single-centre feasibility study-investigation of the differential biology between benign and malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal): protocol.

Ines Horvat-Menih, Mary A McLean, Maria Jesus Zamora-Morales, Marta Wylot, Joshua Kaggie, Alixander S Khan, Andrew B Gill, Joao Duarte, Matthew J Locke, Iosif Mendichovszky and 9 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06016075 (Investigation of Differential Biology of Benign and Malignant Renal Masses Using Advanced Magnetic Resonance Imaging Techniques), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06016075 narecruitingnot on this map

Investigation of Differential Biology of Benign and Malignant Renal Masses Using Advanced Magnetic Resonance Imaging Techniques

TypeinterventionalSponsorUniversity of CambridgeRan2023 to 2026Enrolled30ConditionsKidney CancerArmsHyperpolarised MRI, Sodium MRI, Deuterium metabolic imaging (DMI) MRI
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

19 authors.

Ines Horvat-MenihDepartment of Radiology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-1373-6944
Mary A McLeanDepartment of Radiology, University of Cambridge, Cambridge, UK.
Maria Jesus Zamora-MoralesDepartment of Radiology, University of Cambridge, Cambridge, UK.
Marta WylotDepartment of Radiology, University of Cambridge, Cambridge, UK.
Joshua KaggieDepartment of Radiology, University of Cambridge, Cambridge, UK.
Alixander S KhanDepartment of Radiology, University of Cambridge, Cambridge, UK.
Andrew B GillDepartment of Radiology, University of Cambridge, Cambridge, UK.
Joao DuarteDepartment of Radiology, University of Cambridge, Cambridge, UK.
Matthew J LockeDepartment of Radiology, University of Cambridge, Cambridge, UK.
Iosif MendichovszkyDepartment of Radiology, University of Cambridge, Cambridge, UK.
Hao LiDepartment of Radiology, University of Cambridge, Cambridge, UK.
Andrew N PriestDepartment of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Anne Y WarrenDepartment of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Sarah J WelshDepartment of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
James O JonesDepartment of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
James N ArmitageDepartment of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Thomas J MitchellDepartment of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Grant D StewartDepartment of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID 0000-0003-3188-9140
Ferdia A GallagherDepartment of Radiology, University of Cambridge, Cambridge, UK fag1000@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLocalised renal masses are an increasing burden on healthcare due to the rising number of cases. However, conventional imaging cannot reliably distinguish between benign and malignant renal masses, and renal mass biopsies are unable to characterise the entirety of the tumour due to sampling error, which may lead to delayed treatment or overtreatment. There is an unmet clinical need to develop novel imaging techniques to characterise renal masses more accurately. Renal tumours demonstrate characteristic metabolic reprogramming, and novel MRI methods have the potential to detect these metabolic perturbations, which may therefore aid accurate characterisation. Here, we present our study protocol for the investigation of the differential biology of benign and malignant renal masses using advanced MRI techniques (IBM-Renal). METHODS AND ANALYSIS: IBM-Renal is a multiarm, single-centre, non-randomised, feasibility study with the aim to provide preliminary evidence for the potential role of the novel MRI techniques to phenotype localised renal lesions. 30 patients with localised renal masses will be recruited to three imaging arms, with 10 patients in each: (1) hyperpolarised [1- ETHICS AND DISSEMINATION: This study was ethically approved (UK REC HRA: 22/EE/0136; current protocol version 2.1 dated 11 August 2022). The plans for dissemination include presentations at conferences, publications in scientific journals, a doctoral thesis and patient and public involvement. TRIAL REGISTRATION NUMBER: NCT06016075.

Indexed as

Feasibility StudiesKidney NeoplasmsMagnetic Resonance ImagingDiagnosis, DifferentialFemaleHumansKidneyFunctional Magnetic Resonance ImagingKidney tumoursMagnetic resonance imaging

Identifiers

PMID39461869
PMCPMC11529771

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Registered trials

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.