Publications by authors named "Catherine S Y Lecat"

Article Synopsis
  • Bone marrow trephine biopsy is essential for diagnosing multiple myeloma, but its complex cellular architecture makes evaluation challenging.
  • A new deep learning method called MoSaicNet, along with AwareNet, effectively analyzes these samples, showing high accuracy in classifying tissues and rare cells.
  • Findings reveal that the main differences between multiple myeloma and related conditions lie in spatial heterogeneity rather than cell density, and treatment alters the immune microenvironment and reduces bone heterogeneity.
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Background: Efficient biomarker discovery and clinical translation depend on the fast and accurate analytical output from crucial technologies such as multiplex imaging. However, reliable cell classification often requires extensive annotations. Label-efficient strategies are urgently needed to reveal diverse cell distribution and spatial interactions in large-scale multiplex datasets.

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Purpose: Patients with multiple myeloma suffer from disease-related complications such as bone destruction, toxicities from repeated therapies and age-related co-morbidities. With improved treatment options, patients are living longer and have specific survivorship needs such as low exercise levels that need to be addressed. In this study, we designed, implemented and evaluated a multidisciplinary team (MDT) myeloma clinic that provided participants with tailored exercise and lifestyle advice.

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Background: The treatment paradigm for multiple myeloma (MM) continues to evolve with the development of novel therapies and the earlier adoption of continuous treatments into the treatment pathway. Lenalidomide-refractory patients now represent a challenge with inferior progression free survival (PFS) reported to subsequent treatments. We therefore sought to describe the natural history of MM patients following lenalidomide in the real world.

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Objective: Physical activity has been shown to improve quality of life in cancer patients with some evidence in multiple myeloma. This study aimed to determine myeloma patients' exercise levels, their perception of physical activity, and to explore correlations with quality of life. Myeloma outpatients were invited to complete a number of questionnaires, including the Godin leisure-time exercise questionnaire (GLTEQ) to determine their exercise levels, the Functional Assessment of Cancer Therapy-General (FACT-G) questionnaire to assess health related quality of life, and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) questionnaire to assess fatigue.

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