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  1. No Access

    Article

    Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models

    To test the ability of high-performance machine learning (ML) models employing clinical, radiological, and radiomic variables to improve non-invasive prediction of the pathological status of prostate cancer (P...

    Giulia Marvaso, Lars Johannes Isaksson, Mattia Zaffaroni in European Radiology (2024)

  2. Article

    Open Access

    Quality assurance for automatically generated contours with additional deep learning

    Deploying an automatic segmentation model in practice should require rigorous quality assurance (QA) and continuous monitoring of the model’s use and performance, particularly in high-stakes scenarios such as ...

    Lars Johannes Isaksson, Paul Summers, Abhir Bhalerao, Sara Gandini in Insights into Imaging (2022)

  3. Article

    Open Access

    Whole-body magnetic resonance imaging (WB-MRI) for cancer screening: recommendations for use

    Whole-body magnetic resonance imaging (WB-MRI) is currently recommended for cancer screening in adult and paediatric subjects with cancer predisposition syndromes, representing a substantial aid for prolonging...

    Giuseppe Petralia, Fabio Zugni, Paul E. Summers, Alberto Colombo in La radiologia medica (2021)

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    Article

    MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (AIRC IG-13218)

    Radiomic involves testing the associations of a large number of quantitative imaging features with clinical characteristics. Our aim was to extract a radiomic signature from axial T2-weighted (T2-W) magnetic r...

    Simone Giovanni Gugliandolo, Matteo Pepa, Lars Johannes Isaksson in European Radiology (2021)

  5. Article

    Open Access

    Low PI-RADS assessment category excludes extraprostatic extension (≥pT3a) of prostate cancer: a histology-validated study including 301 operated patients

    To evaluate whether low PI-RADS v2 assessment categories are effective at excluding extraprostatic extension (EPE) of prostate cancer (≥pT3a PCa).

    Sarah Alessi, Paola Pricolo, Paul Summers, Marco Femia in European Radiology (2019)

  6. No Access

    Article

    Whole-body magnetic resonance imaging (WB-MRI) in oncology: recommendations and key uses

    The past decade has witnessed a growing role and increasing use of whole-body magnetic resonance imaging (WB-MRI). Driving these successes are developments in both hardware and software that have reduced overa...

    Giuseppe Petralia, Anwar R. Padhani, Paola Pricolo, Fabio Zugni in La radiologia medica (2019)