Tim Rattay
University of Leicester
Quality of lifeGenome-wide association studyCancerInternal medicineSurgeryOncologyRadiogenomicsProspective cohort studyCohort studyChemotherapyBreast surgeryMastectomyAdjuvant therapyProstate cancerBreast reconstructionMammaplastyGynecologyToxicityRadiation therapyBreast cancerGeneral surgeryMedicineCohortPandemic
43Publications
9H-index
197Citations
Publications 45
Newest
#1Mahmoud Aldraimli (University of Westminster)H-Index: 1
#2Daniele Soria (UKC: University of Kent)H-Index: 17
Last. Sarah O.S. Osman ('QUB': Queen's University Belfast)H-Index: 11
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Abstract null null The prediction by classification of side effects incidence in a given medical treatment is a common challenge in medical research. Machine Learning (ML) methods are widely used in the areas of risk prediction and classification. The primary objective of such algorithms is to use several features to predict dichotomous responses (e.g., disease positive/negative). Similar to statistical inference modelling, ML modelling is subject to the class imbalance problem and is affected b...
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#1Rajiv Dave (University of Manchester)H-Index: 14
#2orcid (Leeds Teaching Hospitals NHS Trust)H-Index: 1
Last. Elizabeth Camacho (University of Manchester)H-Index: 13
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#1Rajiv Dave (University of Manchester)H-Index: 14
#1RV Dave (University of Manchester)H-Index: 3
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The B-MaP-C study aimed to determine alterations to breast cancer (BC) management during the peak transmission period of the UK COVID-19 pandemic and the potential impact of these treatment decisions. This was a national cohort study of patients with early BC undergoing multidisciplinary team (MDT)-guided treatment recommendations during the pandemic, designated ‘standard’ or ‘COVID-altered’, in the preoperative, operative and post-operative setting. Of 3776 patients (from 64 UK units) in the st...
1 CitationsSource
#1Nicola Rares Franco (Ghent University Hospital)H-Index: 1
#1Nicola Rares Franco (Ghent University Hospital)
Last. Tiziana RancatiH-Index: 27
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AIM To identify the effect of single nucleotide polymorphism (SNP) interactions on the risk of toxicity following radiotherapy (RT) for prostate cancer (PCa) and propose a new method for polygenic risk score incorporating SNP-SNP interactions (PRSi). MATERIALS AND METHODS Analysis included the REQUITE PCa cohort that received external beam RT and was followed for 2 years. Late toxicity endpoints were: rectal bleeding, urinary frequency, haematuria, nocturia, decreased urinary stream. Among 43 li...
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#1Rajiv DaveH-Index: 14
Last. Elizabeth CamachoH-Index: 13
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#1Tim Rattay (University of Leicester)H-Index: 9
#2Petra Seibold (DKFZ: German Cancer Research Center)H-Index: 27
Last. Sheryl GreenH-Index: 18
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Background: Acute skin toxicity is a common and usually transient side-effect of breast radiotherapy although, if sufficiently severe, it can affect breast cosmesis, aftercare costs and the patient's quality-of-life. The aim of this study was to develop predictive models for acute skin toxicity using published risk factors and externally validate the models in patients recruited into the prospective multi-center REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to red...
1 CitationsSource
#1Michela Carlotta Massi (Polytechnic University of Milan)H-Index: 2
#2Francesca Gasperoni (University of Cambridge)H-Index: 1
Last. Tiziana RancatiH-Index: 27
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Background: REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using a deep learning algorithm to identify patient-specific features associated with the development of toxicity, and test the approach by attempting to validate previously published genetic risk factors....
3 CitationsSource
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#1Alona Courtney (Imperial College London)H-Index: 3
#2Rachel O'Connell (The Royal Marsden NHS Foundation Trust)H-Index: 9
Last. RV DaveH-Index: 1
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Abstract Introduction Approximately 55000 women in the United Kingdom are diagnosed with new breast cancer annually. Since emerging in December 2019, SARS-CoV-2 (coronavirus disease 2019, COVID-19) has become a global pandemic, affecting healthcare delivery worldwide. In response to the pandemic, multiple guidelines were issued to assist with rationalising breast cancer care. The primary aim of the B-MaP-C study is to audit and describe breast cancer management of patients newly diagnosed with b...
2 CitationsSource
#2Tim Rattay (University of Leicester)H-Index: 9
Last. Lucy R. KhanH-Index: 9
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