Search Results - "Spezi, E."

Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce by Parkinson, C., Matthams, C., Foley, K., Spezi, E.

“…Radiation oncology is a continually evolving speciality. With the development of new imaging modalities and advanced imaging processing techniques, there is an…”
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Head and neck target delineation using a novel PET automatic segmentation algorithm by Berthon, B, Evans, M, Marshall, C, Palaniappan, N, Cole, N, Jayaprakasam, V, Rackley, T, Spezi, E

“…Abstract Purpose To evaluate the feasibility and impact of using a novel advanced PET auto-segmentation method in Head and Neck (H&N) radiotherapy treatment…”
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Development and validation of RAYDOSE: a Geant4-based application for molecular radiotherapy by Marcatili, S, Pettinato, C, Daniels, S, Lewis, G, Edwards, P, Fanti, S, Spezi, E

“…We developed and validated a Monte-Carlo-based application (RAYDOSE) to generate patient-specific 3D dose maps on the basis of pre-treatment imaging studies. A…”
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Influence of cold walls on PET image quantification and volume segmentation: A phantom study by Berthon, B., Marshall, C., Edwards, A., Evans, M., Spezi, E.

“…Purpose: Commercially available fillable plastic inserts used in positron emission tomography phantoms usually have thick plastic walls, separating their…”
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Characterization of a 2D ion chamber array for the verification of radiotherapy treatments by Spezi, E, Angelini, A L, Romani, F, Ferri, A

“…In this study we investigated the characteristics of a commercial ion chamber array and its performance in the verification of radiotherapy plans. The device…”
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Evaluation of advanced automatic PET segmentation methods using nonspherical thin-wall inserts by Berthon, B., Marshall, C., Evans, M., Spezi, E.

“…Purpose: The use of positron emission tomography (PET) within radiotherapy treatment planning requires the availability of reliable and accurate segmentation…”
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PO-0933: Towards standardisation of PET auto-segmentation with the ATLAAS machine learning algorithm by Berthon, B, Marshall, C, Spezi, E

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PO-0702: The use of pet texture analysis to predict lymph node metastases in patients with oesophageal cancer by Foley, K, Berthon, B, Marshall, C, Spezi, E

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Monte Carlo simulation and patient dosimetry for a kilovoltage cone-beam CT unit by Downes, P., Jarvis, R., Radu, E., Kawrakow, I., Spezi, E.

“…Purpose: The purpose of this work is to characterize the x-ray volume imager (XVI), the cone-beam computed tomography (CBCT) unit mounted on the Elekta Synergy…”
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Interim 18F-FDG Positron Emission Tomography/Computed Tomography During Chemoradiotherapy in the Management of Cancer Patients: a Response by Hargreaves, S., Johnstone, E., Parkinson, C., Rackley, T., Spezi, E., Staffurth, J., Evans, M.

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PO-0977: ATLAAS: A model for optimal auto-segmentation of PET images in RT planning by Spezi, E, Berthon, B, Marshall, C

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EP-1872: Benchmarking texture analysis for PET in oesophageal cancer by Berthon, B, Foley, K, Marshall, C, Leijenaar, R.T.H, Spezi, E

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PO-0711: Relating CT image heterogeneity to patient outcome in the SCOPE 1 oesophageal cancer trial by Carrington, R, Spezi, E, Gwynne, S, Staffurth, J, Crosby, T

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Improving radiotherapy quality assurance in clinical trials: assessment of target volume delineation of the pre-accrual benchmark case by Gwynne, S, Spezi, E, Sebag-Montefiore, D, Mukherjee, S, Miles, E, Conibear, J, Staffurth, J

“…As the complexity of radiotherapy (RT) trials increases, issues surrounding target volume delineation will become more important. Some form of outlining…”
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EP-1819: Plan of the Day is the optimal approach to address organ motion for cervical cancer IMRT by Jadon, R, Spezi, E, Hanna, L, Palaniappan, N, Evans, M, Hudson, E, Staffurth, J

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PO-0949: Automated approval of a pre trial benchmark RTTQA case. The ARISTOTLE experience by Sweeney, L.N, Spezi, E, Cole, N, Sebag-Montifiore, D, Adams, R.A

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EP-1794: Quantification of stomach movement using CBCT images by Carrington, R, Spezi, E, Thomas, B, Gwynne, S, Crosby, T, Staffurth, J

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EP-1878: Feasibility of gel phantoms in MRI for the assessment of kurtosis for prostate brachytherapy by Portakal, Z.G, Phillips, J.W, Richards, C.E, Spezi, E, Perrett, T, Lewis, D.G, Yegingil, Z

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SU‐E‐J‐08: Assessing and Minimizing the Dose From KV Cone Beam CT to Pediatric Patients Undergoing Radiation Therapy by Alaei, P, Spezi, E, Ehler, E, Dusenbery, K

“…Purpose: To assess the dose from kilovoltage cone beam CT to pediatric patients undergoing image‐guided radiation therapy and to compare the dose between…”
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Superiority of Deformable Image Co-registration in the Integration of Diagnostic Positron Emission Tomography-Computed Tomography to the Radiotherapy Treatment Planning Pathway for Oesophageal Carcinoma by Ward, G, Ramasamy, S, Sykes, J.R, Prestwich, R, Chowdhury, F, Scarsbrook, A, Murray, P, Harris, K, Crellin, A, Hatfield, P, Sebag-Montefiore, D, Spezi, E, Crosby, T, Radhakrishna, G

“…Abstract Aims To investigate the use of image co-registration in incorporating diagnostic positron emission tomography-computed tomography (PET-CT) directly…”
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