Browsing by Autor "Matthew D. Thompson"

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    Algorithms to identify radiotherapy intent in unresected non-metastatic non-small-cell lung cancer: an I-O Optimise analysis
    (Future Medicine, 2024) Eleanor Ralphs; C. Rault; Alan Calleja; M. Daumont; John R. Penrod; Matthew D. Thompson; Sue Cheeseman; Marta Soares
    This study aimed to develop and evaluate the performance of algorithms for identifying radiotherapy (RT) treatment intent in real-world data from patients with non-metastatic non-small-cell lung cancer (NSCLC). Using data from IPO-Porto hospital (Portugal) and the REAL-Oncology database (England), three algorithms were developed based on available RT information (#1: RT duration, #2: RT duration and type, #3: RT dose) and tested versus reference datasets. Study results showed that all three algorithms had good overall accuracy (91-100%) for patients receiving RT plus systemic anticancer therapy (SACT) and algorithms #2 and #3 also had good accuracy (>99%) for patients receiving RT alone. These algorithms could help classify treatment intent in patients with NSCLC receiving RT with or without SACT in real-world settings where intent information is missing/incomplete.
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    Assessment of bone-targeting agents use in patients with bone metastasis from breast, lung or prostate cancer using structured and unstructured electronic health records from a regional UK-based hospital
    (BMJ, 2023) Anouchka Seesaghur; P. Egger; Joshua Warden; Ali Abbasi; Bethany Levick; Majid Riaz; Peter McMahon; Matthew D. Thompson; Sue Cheeseman
    In this study identifying BM diagnosis from both structured and unstructured data, a high proportion of patients did not receive a BTA. Unstructured data provide new insights on the real-world use of BTA.