Work

Prostate cancer heterogeneity: texture analysis score based on multiple magnetic resonance imaging sequences for detection, stratification and selection of lesions at time of biopsy

Year: 2018

Type: article

Study design: Observational Study

Source: British Journal of Urology

DOI: 10.1111/bju.14603

Authors: Clement Orczyk, Arnauld Villers, Henry Rusinek, Vincent Lepennec, Céline Bazille, Francesco Giganti, Artem Mikheev, Myriam Bernaudin, Mark Emberton, Audrey Fohlen, Samuel Valable

Institutions: University College Hospital, Centre National de la Recherche Scientifique, University College London Hospitals NHS Foundation Trust, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Normandie Université, Centre Hospitalier Universitaire de Caen Normandie, Cyceron, Imagerie et Stratégies Thérapeutiques pour les Cancers et Tissus cérébraux, University College London, Université de Caen Normandie, Centre Hospitalier Universitaire de Lille, NYU Langone Health, New York University

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institute for Health and Care Research, National Institute of Biomedical Imaging and Bioengineering

Awards: NIHR Senior Investigator Award, Advanced Software for MRI, PET, SPECT and CT Image Analysis

OpenAlex ID: W2899409916

FWCI: 2.26

Cites: 53

Cited by: 28

Related to: 10