Browsing ICR Divisions by author "Doran, Simon"
Now showing items 1-20 of 30
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3-D dosimetry readout techniques
Doran, SJ (IOP PUBLISHING LTD, 2019-01-01) -
A computerized volumetric segmentation method applicable to multi-centre MRI data to support computer-aided breast tissue analysis, density assessment and lesion localization.
Ertas, G; Doran, SJ; Leach, MO (SPRINGER HEIDELBERG, 2017-01-01)Density assessment and lesion localization in breast MRI require accurate segmentation of breast tissues. A fast, computerized algorithm for volumetric breast segmentation, suitable for multi-centre data, has been developed, ... -
A CT-based radiomics classification model for the prediction of histological type and tumour grade in retroperitoneal sarcoma (RADSARC-R): a retrospective multicohort analysis.
Arthur, A; Orton, MR; Emsley, R; Vit, S; Kelly-Morland, C; et al. (ELSEVIER SCIENCE INC, 2023-11-01)BACKGROUND: Retroperitoneal sarcomas are tumours with a poor prognosis. Upfront characterisation of the tumour is difficult, and under-grading is common. Radiomics has the potential to non-invasively characterise the ... -
Assessment of optical CT as a future QA tool for synchrotron x-ray microbeam therapy.
McErlean, CM; Bräuer-Krisch, E; Adamovics, J; Doran, SJ (IOP PUBLISHING LTD, 2016-01-07)Synchrotron microbeam radiation therapy (MRT) is an advanced form of radiotherapy for which it is extremely difficult to provide adequate quality assurance. This may delay or limit its clinical uptake, particularly in the ... -
Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?
Doran, SJ; Hipwell, JH; Denholm, R; Eiben, B; Busana, M; et al. (WILEY, 2017-09-01)PURPOSE: To compare two methods of automatic breast segmentation with each other and with manual segmentation in a large subject cohort. To discuss the factors involved in selecting the most appropriate algorithm for ... -
Characterization of small PRESAGE (R) samples for measurements near the dosimeter edges
Costa, F; Doran, S; Adamovics, J; Nill, S; Hanson, IM; et al. (IOP PUBLISHING LTD, 2019-01-01) -
Circulating Growth and Sex Hormone Levels and Breast Tissue Composition in Young Nulliparous Women.
Denholm, R; De Stavola, BL; Hipwell, JH; Doran, SJ; Holly, JMP; et al. (AMER ASSOC CANCER RESEARCH, 2018-12-01)BACKGROUND: Endogenous hormones are associated with breast cancer risk, but little is known about their role on breast tissue composition, a strong risk predictor. This study aims to investigate the relationship between ... -
Development of a methodology to study the effect of magnetic field on dose distributions in an MR-linac, using PRESAGE (R) and Monte Carlo calculations
Costa, F; Doran, S; Nill, S; Duane, S; Shipley, D; et al. (IOP PUBLISHING LTD, 2017-01-01) -
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study.
Satchwell, L; Wedlake, L; Greenlay, E; Li, X; Messiou, C; et al. (BMJ PUBLISHING GROUP, 2022-10-05)INTRODUCTION: Whole-body MRI (WB-MRI) is recommended by the National Institute of Clinical Excellence as the first-line imaging tool for diagnosis of multiple myeloma. Reporting WB-MRI scans requires expertise to interpret ... -
Dose verification of dynamic MLC-tracked radiotherapy using small PRESAGE (R) 3D dosimeters and a motion phantom
Costa, F; Menten, MJ; Doran, S; Adamovics, J; Hanson, IM; et al. (IOP PUBLISHING LTD, 2019-01-01) -
Edge effects in 3D dosimetry: characterisation and correction of the non-uniform dose response of PRESAGE®.
Costa, F; Doran, SJ; Hanson, IM; Adamovics, J; Nill, S; et al. (IOP PUBLISHING LTD, 2020-05-04)Previous work has shown that PRESAGE® can be used successfully to perform 3D dosimetric measurements of complex radiotherapy treatments. However, measurements near the sample edges are known to be difficult to achieve. ... -
Extracranial Soft-Tissue Tumors: Repeatability of Apparent Diffusion Coefficient Estimates from Diffusion-weighted MR Imaging.
Winfield, JM; Tunariu, N; Rata, M; Miyazaki, K; Jerome, NP; et al. (RADIOLOGICAL SOC NORTH AMERICA, 2017-07-01)Purpose To assess the repeatability of apparent diffusion coefficient (ADC) estimates in extracranial soft-tissue diffusion-weighted magnetic resonance imaging across a wide range of imaging protocols and patient populations. ... -
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC.
Hindocha, S; Charlton, TG; Linton-Reid, K; Hunter, B; Chan, C; et al. (NATURE PORTFOLIO, 2022-10-27)Recurrence occurs in up to 36% of patients treated with curative-intent radiotherapy for NSCLC. Identifying patients at higher risk of recurrence for more intensive surveillance may facilitate the earlier introduction of ... -
Growth Trajectories, Breast Size, and Breast-Tissue Composition in a British Prebirth Cohort of Young Women.
Denholm, R; De Stavola, B; Hipwell, JH; Doran, SJ; Busana, MC; et al. (OXFORD UNIV PRESS INC, 2018-06-01)Mammographic percent density, the proportion of fibroglandular tissue in the breast, is a strong risk factor for breast cancer, but its determinants in young women are unknown. We examined associations of magnetic resonance ... -
Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives.
deSouza, NM; Winfield, JM; Waterton, JC; Weller, A; Papoutsaki, M-V; et al. (SPRINGER, 2018-03-01)UNLABELLED: For body imaging, diffusion-weighted MRI may be used for tumour detection, staging, prognostic information, assessing response and follow-up. Disease detection and staging involve qualitative, subjective ... -
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case.
Escudero Sanchez, L; Buddenkotte, T; Al Sa'd, M; McCague, C; Darcy, J; et al. (MDPI, 2023-08-30)Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential to alleviate the burden of health services worldwide and to improve the accuracy and reproducibility of predictions. In ... -
Integrating the OHIF Viewer into XNAT: Achievements, Challenges and Prospects for Quantitative Imaging Studies.
Doran, SJ; Al Sa'd, M; Petts, JA; Darcy, J; Alpert, K; et al. (MDPI, 2022-02-11)Purpose: XNAT is an informatics software platform to support imaging research, particularly in the context of large, multicentre studies of the type that are essential to validate quantitative imaging biomarkers. XNAT ... -
Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study.
Orton, MR; Hann, E; Doran, SJ; Shepherd, STC; Ap Dafydd, D; et al. (BMC, 2023-08-14)BACKGROUND: The aim of this work is to evaluate the performance of radiomics predictions for a range of molecular, genomic and clinical targets in patients with clear cell renal cell carcinoma (ccRCC) and demonstrate the ... -
Introduction to the National Cancer Imaging Translational Accelerator (NCITA): a UK-wide infrastructure for multicentre clinical translation of cancer imaging biomarkers.
McAteer, MA; O'Connor, JPB; Koh, DM; Leung, HY; Doran, SJ; et al. (SPRINGERNATURE, 2021-11-23)The National Cancer Imaging Translational Accelerator (NCITA) is creating a UK national coordinated infrastructure for accelerated translation of imaging biomarkers for clinical use. Through the development of standardised ... -
Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE® 3D dosimeter and Monte Carlo simulations.
Costa, F; Doran, SJ; Hanson, IM; Nill, S; Billas, I; et al. (IOP PUBLISHING LTD, 2018-02-26)Dosimetric quality assurance (QA) of the new Elekta Unity (MR-linac) will differ from the QA performed of a conventional linac due to the constant magnetic field, which creates an electron return effect (ERE). In this work ...