Publications by authors named "Gabrielle Rees"

Aim: we describe our experience of validating departmental pathologists for digital pathology reporting, based on the UK Royal College of Pathologists (RCPath) "Best Practice Recommendations for Implementing Digital Pathology (DP)," at a large academic teaching hospital that scans 100% of its surgical workload. We focus on Stage 2 of validation (prospective experience) prior to full validation sign-off.

Methods And Results: twenty histopathologists completed Stage 1 of the validation process and subsequently completed Stage 2 validation, prospectively reporting a total of 3777 cases covering eight specialities.

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Article Synopsis
  • Grading fibrosis in myeloproliferative neoplasms (MPN) is key for disease classification and patient monitoring, but current systems are limited and don’t capture all sample variations.
  • A new machine learning method called Continuous Indexing of Fibrosis (CIF) was developed using bone marrow samples, significantly improving the detection and classification of fibrosis in MPNs.
  • CIF shows high accuracy in distinguishing between essential thrombocythemia and pre-fibrotic myelofibrosis, and it may also help identify patients at risk of disease progression, which could refine future MPN studies.
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Background: In this article we share our experience of creating a digital pathology (DP) supraregional germ cell tumour service, including full digitisation of the central laboratory.

Methods: DP infrastructure (Philips) was deployed across our hospital network to allow full central digitisation with partial digitisation of two peripheral sites in the supraregional testis germ cell tumour network. We used a survey-based approach to capture the quantitative and qualitative experiences of the multidisciplinary teams involved.

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Background: This Phase 2a dose expansion study was performed to assess the safety, tolerability and preliminary efficacy of the maximum tolerated dose of the oral histone de-acetylase (HDAC) inhibitor CXD101 in patients with relapsed / refractory lymphoma or advanced solid organ cancers and to assess HR23B protein expression by immunohistochemistry as a biomarker of HDAC inhibitor sensitivity.

Methods: Patients with advanced solid-organ cancers with high HR23B expression or lymphomas received CXD101 at the recommended phase 2 dose (RP2D). Key exclusions: corrected QT > 450 ms, neutrophils < 1.

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Article Synopsis
  • Accurate diagnosis of myeloproliferative neoplasms (MPNs) relies on combining clinical, morphological, and genetic data, but traditional bone marrow assessments can be subjective and inconsistent.
  • A new machine learning technique has been developed to automate the analysis of megakaryocyte features in bone marrow samples, demonstrating high predictive accuracy (0.95) in diagnosing MPNs and distinguishing between subtypes.
  • This automated approach could enhance the diagnostic process and help monitor disease progression, serving as a valuable complement to existing genetic and molecular tests.
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Introduction: Digital pathology has the potential to revolutionize the way clinical diagnoses are made while improving safety and quality. With a few notable exceptions in the UK, few National Health Service (NHS) departments have deployed digital pathology platforms. Thus, in the next few years, many departments are anticipated to undergo the transition to digital pathology.

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Clinical trials rely on multidisciplinary teams for successful delivery. Pathologists should be involved in clinical trial design from the outset to ensure that protocols are optimised to deliver maximum data collection and translational research opportunities. Clinical trials must be performed according to the principles of Good Clinical Practice (GCP) and the trial sponsor has an obligation to ensure that all of the personnel involved in the trial have undergone training relevant to their role.

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We present a rare case of osseous metaplasia in the breast with no other associated breast pathology. A 46-year-old HIV-positive lady presented to the breast clinic with new onset intermittent left-sided mastalgia. Clinical examination revealed an indeterminate mass in the left breast with palpable left axillary lymphadenopathy.

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