Dr Filipa Ferreira
BEng(Hons), MSc, PhD
Academic and research departmentsSection of Clinical Medicine.
University roles and responsibilities
- Project Manager
Affiliations and memberships
Project Management Institute
Project Management Institute - member ID 4024925
Pani S, Saifuddin SC, Ferreira FIM, Henthorn N, Seller P, Sellin PJ, Stratmann (2017) High Energy Resolution Hyperspectral X-Ray Imaging for Low-Dose Contrast-Enhanced Digital Mammography.IEEE Trans Med Imaging.
Contrast-enhanced digital mammography (CEDM) is an alternative to conventional X-ray mammography for imaging dense breasts. However, conventional approaches to CEDM require a double exposure of the patient, implying higher dose, and risk of incorrect image registration due to motion artifacts. A novel approach is presented, based on hyperspectral imaging, where a detector combining positional and high-resolution spectral information (in this case based on Cadmium Telluride) is used. This allows simultaneous acquisition of the two images required for CEDM. The approach was tested on a custom breast-equivalent phantom containing iodinated contrast agent (Niopam 150®). Two algorithms were used to obtain images of the contrast agent distribution: K-edge subtraction (KES), providing images of the distribution of the contrast agent with the background structures removed, and a dual-energy (DE) algorithm, providing an iodine-equivalent image and a water-equivalent image. The high energy resolution of the detector allowed the selection of two close-by energies, maximising the signal in KES images, and enhancing the visibility of details with the low surface concentration of contrast agent. DE performed consistently better than KES in terms of contrast-to-noise ratio of the details; moreover, it allowed a correct reconstruction of the surface concentration of the contrast agent in the iodine image. Comparison with CEDM with a conventional detector proved the superior performance of hyperspectral CEDM in terms of the image quality/dose tradeoff.
Liyanage H, Hoang U, Ferreira F, Alexander D, Rigby M, Blair M, De Lusignan S (2017) Availability of Computerised Medical Record System Data to Compare Models of Child Health Care in Primary Care Across Europe. Stud Health Technol Inform.
Computerised medical record (CMR) system data can be used to compare different models of health care for children. We identified sources of data from the Models of Child Health Appraised (MOCHA) project that compares family doctor led with paediatrician led and mixed models of child care using index conditions. Asthma and immunisation coverage are the first of these. We explored the extent to which an established Patient Registries Initiative (PARENT); MOCHA's own survey (MIROI); the European Centre for Disease Control (ECDC) immunisation information system survey and the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP) registry of data sources provided data to make comparisons of child health care. Five countries had data repositories for our index conditions from paediatrician lead services, compared with 14 for mixed, and 11 for family doctor led services. PARENT identified 212 sources, MIROI 148 sources, ECDC 17 sources and ENCePP 42; with immunisation related data sources found in all four but asthma in only three. There are less sources of electronic data available to study paediatrician led systems than other models; this risks unequal sample size bias.
de Lusignan S, Correa A, Smith GE, Yonova I, Pebody R, Ferreira F, Elliot AJ, (2017) RCGP Research and Surveillance Centre: 50 years' surveillance of influenza, infections, and respiratory conditions.. Br J Gen Pract.
de Lusignan S, Dos Santos G, Correa A, Haguinet F, Yonova I, Lair F, Byford R, (2017) Post-authorisation passive enhanced safety surveillance of seasonal influenza vaccines: protocol of a pilot study in England.
To pilot enhanced safety surveillance of seasonal influenza vaccine meeting the European Medicines Agency (EMA) requirement to rapidly detect a significant increase in the frequency or severity of adverse events of interest (AEIs), which may indicate risk from the new season's vaccine. A prospective passive enhanced safety surveillance combining data collection from adverse drug reaction (ADR) cards with automated collection of pseudonymised routinely collected electronic health record (EHR) data. This study builds on a feasibility study carried out at the start of the 2015/2016 influenza season. We will report influenza vaccine exposure and any AEIs reported via ADR card or recorded directly into the EHR, from the commencement of influenza vaccination and ends as specified by EMA (30 November 2016). Ten volunteer English general practices, primarily using the GSK influenza vaccines. They had selected this vaccine in advance of the study. People who receive a seasonal influenza vaccine, in each age group defined in EMA interim guidance: 6 months to 5 years, 6-12 years, 13-17 years, 18-65 years and >65 years. The primary outcome measure is the rate of AEIs occurring within 7 days postvaccination, using passive surveillance of general practitioner (GP) EHR systems enhanced by a card-based ADR reporting system. Extracted data will be presented overall by brand (Fluarix Tetra vs others), by age strata and risk groups. The secondary outcome measure is the vaccine uptake among the subjects registered in the enrolled general practices. Ethical approval was granted by the Proportionate Review Sub-committee of the North East-Newcastle & North Tyneside 2 on 5 August 2016. The study received approval from the Health Research Authority on 1 September 2016. We will produce an interim analysis within 8 weeks, and an end-of-study report, which will be submitted to peer-reviewed journals.
ETHICS AND DISSEMINATION:
Harshana Liyanage , Uy Hoang Filipa Ferreira, Denise Alexander, Michael Rigby, Mitch Blair And Simon De Lusignan (2017) Availability of computerised medical record system data to compare models of child health care in primary care across Europe. Oral presentation at EFMI STC 2017 Tel Aviv, Israel.
de Lusignan S, Dos Santos G, Correa A, Haguinet F, Yonova I, Lair F, Byford R, Ferreira F, Stuttard K, Chan T (2017) Post-authorisation passive enhanced safety surveillance of seasonal influenza vaccines: protocol of a pilot study in England. BMJ Open.
Denis H, Khromava A, Liyanage H, Bauwens J, Van der Aa L, Mahy P, Ferreira F, Spina A, Ferreira G, Artama M, Natunen K (2015) Current Practices and Regulations in European Countries for Data Privacy and Ethics for the Use of Secondary Data: An ADVANCE Initiative. Pharmacoepidemiology And Drug Safety 2015 Sep 1 (Vol. 24, pp. 184-185)
Correa, A., de Lusignan, S., McCrae, N., Chan, T., Ferreira, F., Squires, A., Jones, S (2015) An evaluation of a stepped-care model of psychological therapy for people with long-term conditions and medically-unexplained symptoms. Poster presented at: AcademyHealth Annual Research Meeting.
Saifuddin, S.C. , Ferreira, F.I.M., Scuffham, J.W., Wilson, M.D., Veale, M., Henthorn N., Bell, S., Seller, P., Sellin, P.J., Cernik, R., Bradley D.A., Pani, S (2012) Contrast-Enhanced Mammography Using A Pixellated Spectroscopic Detector. Institute of Physics(IOP), Physics in Healthcare
Pani, S., Saifuddin, S.C., Ferreira, F.I.M., Scuffham, J.W., Wilson, M.D., Veale, M., Bell, S., Seller, P., Sellin, P.J., Cernik, R (2012) Optimisation of K-edge subtraction X-ray imaging using a pixellated spectroscopic detector. IEE Nuclear Science Symposium and Medical Imaging Conference 2012
F. Ferreira, S. Qanadli, M. Dehkordi, A. Britten, A. Belli, A-M Jouannic, J. Dehmeshki (2011) New computer aided detection and measurement system for thoracic aortic aneurysms from CT angiography. SSR-SGR congress 2011.
F. Ferreira, J. Dehmeshki, H. Amin, M.E. Dehkordi, A. Belli and S. Qanadli (2010) An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using Computed Tomography Angiography Scans. SPIE International Symposium on Medical Imaging 2010.
F. Ferreira, J. Dehmeshki, H. Amin, M.E. Dehkordi, A. Belli and S. Qanadli (2009) An adaptive 3D region growing algorithm to automatically segment and identify the thoracic aorta using CT Angiography. 10th Annual Meeting of the Union of Vascular Societies of Switzerland 2009.
Liyanage H, Shinneman S, Hoang U, Ferreira F, Alexander D, Rigby M, Blair M, de Lusignan S. (2018) Profiling Databases to Facilitate Comparison of Child Health Systems Across Europe Using Standardised Quality Markers
Smith N, Livina V, Byford R, Ferreira F, Yonova I, de Lusignan S. (2018) Automated Differentiation of Incident and Prevalent Cases in Primary Care Computerised Medical Records (CMR).
Pathirannehelage S, Kumarapeli P, Byford R, Yonova I, Ferreira F, de Lusignan S (2018) Uptake of a Dashboard Designed to Give Realtime Feedback to a Sentinel Network About Key Data Required for Influenza Vaccine Effectiveness Studies.
de Lusignan S, Correa A, Pebody R, Yonova I, Smith G, Byford R, Pathirannehelage SR, McGee C, Elliot AJ, Hriskova M, Ferreira FI, Rafi I, Jones S (2018) Incidence of Lower Respiratory Tract Infections and Atopic Conditions in Boys and Young Male Adults: Royal College of General Practitioners Research and Surveillance Centre Annual Report 2015-2016. JMIR Public Health Surveill. 2018 Apr 30;4(2):e49.