Daniel Wilson
Leeds Teaching Hospitals NHS Trust
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Daniel Wilson.
Journal of Clinical Oncology | 2008
Janice Ward; James A. Guthrie; Maria B. Sheridan; Sheila Boyes; Jonathan T. Smith; Daniel Wilson; Judy Wyatt; Darren Treanor; Philip Robinson
PURPOSE To assess the predictive value of superparamagnetic iron oxide (SPIO) -enhanced T2-weighted gradient echo (GRE) imaging to determine the presence and severity of sinusoidal obstructive syndrome (SOS). PATIENTS AND METHODS Sixty hepatic resection patients with colorectal metastases treated with chemotherapy underwent unenhanced magnetic resonance imaging (MRI) followed by T2-weighted GRE sequences obtained after SPIO. The images were reviewed in consensus by two experienced observers who determined the presence and severity of linear and reticular hyperintensities, indicating SOS-type liver injury, using a 4-point ordinal scale. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with 95% CIs for the detection of SOS were calculated. RESULTS Twenty-four of 60 patients had moderate to severe SOS on MRI. MRI achieved a sensitivity of 87% (95% CI, 66% to 97%), specificity of 89% (95% CI, 75% to 97%), PPV of 83% (95% CI, 63% to 95%), and NPV of 92% (95% CI, 77% to 98%). SOS was never found at surgery or histology in patients whose background liver parenchyma was normal on SPIO-enhanced MRI. CONCLUSION SOS is present in a significant proportion of patients with treated colorectal metastases and is effectively detected on SPIO-enhanced T2-weighted GRE images.
BMC Cancer | 2015
Manil Subesinghe; Andrew Scarsbrook; Steven Sourbron; Daniel Wilson; Garry McDermott; R. Speight; Neil Roberts; Brendan Carey; Roan Forrester; Sandeep Vijaya Gopal; J. Sykes; Robin Prestwich
BackgroundThe use of imaging to implement on-treatment adaptation of radiotherapy is a promising paradigm but current data on imaging changes during radiotherapy is limited. This is a hypothesis-generating pilot study to examine the changes on multi-modality anatomic and functional imaging during (chemo)radiotherapy treatment for head and neck squamous cell carcinoma (HNSCC).MethodsEight patients with locally advanced HNSCC underwent imaging including computed tomography (CT), Fluorine-18 fluorodeoxyglucose (FDG) positron emission tomography (PET)-CT and magnetic resonance imaging (MRI) (including diffusion weighted (DW) and dynamic contrast enhanced (DCE)) at baseline and during (chemo)radiotherapy treatment (after fractions 11 and 21). Regions of interest (ROI) were drawn around the primary tumour at baseline and during treatment. Imaging parameters included gross tumour volume (GTV) assessment, SUVmax, mean ADC value and DCE-MRI parameters including Plasma Flow (PF). On treatment changes and correlations between these parameters were analysed using a Wilcoxon rank sum test and Pearson’s linear correlation coefficient respectively. A p-value <0.05 was considered statistically significant.ResultsStatistically significant reductions in GTV-CT, GTV-MRI and GTV-DW were observed between all imaging timepoints during radiotherapy. Changes in GTV-PET during radiotherapy were heterogeneous and non-significant. Significant changes in SUVmax, mean ADC value, Plasma Flow and Plasma Volume were observed between the baseline and the fraction 11 timepoint, whilst only changes in SUVmax between baseline and the fraction 21 timepoint were statistically significant. Significant correlations were observed between multiple imaging parameters, both anatomical and functional; 20 correlations between baseline to the fraction 11 timepoint; 12 correlations between baseline and the fraction 21 timepoints; and 4 correlations between the fraction 11 and fraction 21 timepoints.ConclusionsMulti-modality imaging during radiotherapy treatment demonstrates early changes (by fraction 11) in both anatomic and functional imaging parameters. All functional imaging modalities are potentially complementary and should be considered in combination to provide multi-parametric tumour assessment, to guide potential treatment adaptation strategies.Trial RegistrationISRCTN Registry: ISRCTN34165059. Registered 2nd February 2015.
Magnetic Resonance Imaging | 2012
Jonathan T. Smith; Janice Ward; James A. Guthrie; Maria B. Sheridan; Sheila Boyes; Daniel Wilson; Judy Wyatt; Darren Treanor; Philip Robinson
OBJECTIVE Chemotherapy commonly causes liver injury through sinusoidal obstructive syndrome and steatosis. Chemotherapy-induced liver injury may make it more difficult to detect metastases secondary to reduced contrast between the injured liver and metastases. The aim of this study was to determine the sensitivity of superparamagnetic iron oxide (SPIO) contrast-enhanced imaging in patients who have undergone chemotherapy prior to liver surgery. METHODS Local ethics committee approval was obtained. Thirty-one patients with hepatic metastases completing preoperative chemotherapy were prospectively recruited. Images were reviewed independently by two blinded observers who identified and localized lesions with a four-point confidence scale. The alternative free-response receiver operator characteristic method was used to analyze the results. RESULTS The sensitivity in detecting colorectal metastases following chemotherapy was 78% and 76%, respectively, for observers 1 and 2 (95% confidence interval: 71%-85% and 68%-82%). The areas under the alternative free-response receiver operator curves were 0.73 and 0.80 for observers 1 and 2, respectively. CONCLUSION Compared to previously published work on chemotherapy-naïve patients, it is clear that the sensitivity of SPIO-enhanced magnetic resonance imaging (MRI) in detecting colorectal metastases following chemotherapy is reduced. It is therefore critical that all imaging--pre-, during and postchemotherapy--is reviewed when reporting liver MRI prior to surgery.
Magnetic Resonance in Medicine | 2018
Leonidas Georgiou; Nisha Sharma; David A. Broadbent; Daniel Wilson; Barbara Dall; Anmol Gangi; David L. Buckley
To evaluate an interleaved MRI sampling strategy that acquires both high temporal resolution (HTR) dynamic contrast‐enhanced (DCE) data for quantifying breast tumor blood flow (TBF) and high spatial resolution (HSR) DCE data for clinical reporting, following a single standard injection of contrast agent.
Diagnostics | 2018
Tze Wah; Steven Sourbron; Daniel Wilson; Derek R. Magee; Walter Gregory; Peter Selby; David L. Buckley
Aim: To investigate if the early treatment effects of radiofrequency ablation (RFA) on renal cell carcinoma (RCC) can be detected with dynamic contrast enhanced (DCE)-MRI and to correlate RCC perfusion with RFA treatment time. Materials and methods: 20 patients undergoing RFA of their 21 RCCs were evaluated with DCE-MRI before and at one month after RFA treatment. Perfusion was estimated using the maximum slope technique at two independent sittings. Total RCC blood flow was correlated with total RFA treatment time, tumour location, size and histology. Results: DCE-MRI examinations were successfully evaluated for 21 RCCs (size from 1.3 to 4 cm). Perfusion of the RCCs decreased significantly (p < 0.0001) from a mean of 203 (±80) mL/min/100 mL before RFA to 8.1 (±3.1) mL/min/100 mL after RFA with low intra-observer variability (r ≥ 0.99, p < 0.0001). There was an excellent correlation (r = 0.95) between time to complete ablation and pre-treatment total RCC blood flow. Tumours with an exophytic location exhibit the lowest mean RFA treatment time. Conclusion: DCE-MRI can detect early treatment effects by measuring RCC perfusion before and after RFA. Perfusion significantly decreases in the zone of ablation, suggesting that it may be useful for the assessment of treatment efficacy. Pre-RFA RCC blood flow may be used to predict RFA treatment time.
Magnetic Resonance in Medicine | 2018
Leonidas Georgiou; Daniel Wilson; Nisha Sharma; Timothy J. Perren; David L. Buckley
To measure the arterial input function (AIF), an essential component of tracer kinetic analysis, in a population of patients using an optimized dynamic contrast‐enhanced (DCE) imaging sequence and to estimate inter‐ and intrapatient variability. From these data, a representative AIF that may be used for realistic simulation studies can be extracted.
Radiology | 1999
Janice Ward; Naik Ks; James A. Guthrie; Daniel Wilson; Philip Robinson
Radiology | 2000
Janice Ward; James A. Guthrie; David J. Scott; Julian Atchley; Daniel Wilson; Mervyn Huw Davies; Judith I. Wyatt; Philip Robinson
Radiology | 2005
Janice Ward; Philip Robinson; J. Ashley Guthrie; Susan Downing; Daniel Wilson; J. Peter A. Lodge; K. Rajedra Prasad; Giles J. Toogood; Judith I. Wyatt
Radiology | 1997
A. Blakeborough; Janice Ward; Daniel Wilson; M. Griffiths; Y. Kajiya; James A. Guthrie; Philip Robinson