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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorSingh, Saurabh
dc.contributor.authorMathew, Manju
dc.contributor.authorMertzanidou, Thomy
dc.contributor.authorSuman, Shipra
dc.contributor.authorClemente, Joey
dc.contributor.authorRetter, Adam
dc.contributor.authorGrussu, Francesco
dc.date.accessioned2022-08-19T06:42:25Z
dc.date.available2022-08-19T06:42:25Z
dc.date.issued2022-04
dc.identifier.citationSingh S, Mathew M, Mertzanidou T, Suman S, Clemente J, Retter A, et al. Histo-MRI map study protocol: a prospective cohort study mapping MRI to histology for biomarker validation and prediction of prostate cancer. BMJ Open. 2022 Apr;12(4):e059847.
dc.identifier.issn2044-6055
dc.identifier.urihttp://hdl.handle.net/11351/8020
dc.descriptionMagnetic resonance imaging; Pathology; Prostate disease
dc.description.abstractIntroduction Multiparametric MRI (mpMRI) is now widely used to risk stratify men with a suspicion of prostate cancer and identify suspicious regions for biopsy. However, the technique has modest specificity and a high false-positive rate, especially in men with mpMRI scored as indeterminate (3/5) or likely (4/5) to have clinically significant cancer (csPCa) (Gleason ≥3+4). Advanced MRI techniques have emerged which seek to improve this characterisation and could predict biopsy results non-invasively. Before these techniques are translated clinically, robust histological and clinical validation is required. Methods and analysis This study aims to clinically validate two advanced MRI techniques in a prospectively recruited cohort of men suspected of prostate cancer. Histological analysis of men undergoing biopsy or prostatectomy will be used for biological validation of biomarkers derived from Vascular and Extracellular Restricted Diffusion for Cytometry in Tumours and Luminal Water imaging. In particular, prostatectomy specimens will be processed using three-dimension printed patient-specific moulds to allow for accurate MRI and histology mapping. The index tests will be compared with the histological reference standard to derive false positive rate and true positive rate for men with mpMRI scores which are indeterminate (3/5) or likely (4/5) to have clinically significant prostate cancer (csPCa). Histopathological validation from both biopsy and prostatectomy samples will provide the best ground truth in validating promising MRI techniques which could predict biopsy results and help avoid unnecessary biopsies in men suspected of prostate cancer. Ethics and dissemination Ethical approval was granted by the London—Queen Square Research Ethics Committee (19/LO/1803) on 23 January 2020. Results from the study will be presented at conferences and submitted to peer-reviewed journals for publication. Results will also be available on ClinicalTrials.gov.
dc.language.isoeng
dc.publisherBMJ
dc.relation.ispartofseriesBMJ Open;12(4)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectPròstata - Càncer - Imatgeria per ressonància magnètica
dc.subjectCàncer - Propensió
dc.subject.meshProstatic Neoplasms
dc.subject.mesh/diagnostic imaging
dc.subject.meshBiomarkers
dc.titleHisto-MRI map study protocol: a prospective cohort study mapping MRI to histology for biomarker validation and prediction of prostate cancer
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1136/bmjopen-2021-059847
dc.subject.decsneoplasias de la próstata
dc.subject.decs/diagnóstico por imagen
dc.subject.decsbiomarcadores
dc.relation.publishversionhttp://dx.doi.org/10.1136/bmjopen-2021-059847
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Singh S, Clemente J, Retter A] Centre for Medical Imaging, University College London, London, UK. [Mathew M] Centre for Medical Imaging, University College London, London, UK. Department of Pathology, University College London Hospitals NHS Foundation Trust, London, UK. [Mertzanidou T] Centre for Medical Imaging Computing, Department of Computer Science, University College London, London, UK. [Suman S] Centre for Medical Imaging, University College London, London, UK. Centre for Medical Imaging Computing, Department of Computer Science, University College London, London, UK. [Grussu F] Centre for Medical Imaging Computing, Department of Computer Science, University College London, London, UK. Grup de Radiòmica, Vall d’Hebron Hospital Universitari, Barcelona, Spain
dc.identifier.pmid35396316
dc.identifier.wos000781254200014
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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