A5051619581- Advanced Radiotherapy Techniques
- Endometrial and Cervical Cancer Treatments
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Cervical Cancer and HPV Research
- Bladder and Urothelial Cancer Treatments
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- Prostate Cancer Diagnosis and Treatment
- Medical Imaging and Analysis
- Cancer Immunotherapy and Biomarkers
- Ovarian cancer diagnosis and treatment
- Urinary and Genital Oncology Studies
- Ultrasound Imaging and Elastography
- Colorectal Cancer Surgical Treatments
- Cancer Genomics and Diagnostics
- AI in cancer detection
- Brain Metastases and Treatment
- Cancer survivorship and care
- Cancer Diagnosis and Treatment
- Immunotherapy and Immune Responses
- Genetic factors in colorectal cancer
- Advanced MRI Techniques and Applications
- Advances in Oncology and Radiotherapy
Royal Marsden NHS Foundation Trust
2015-2024
Queen's University Belfast
2024
Cancer Trials Ireland
2024
Royal College of Radiologists
2024
Institute of Cancer Research
2012-2024
Queens University
2024
Royal Marsden Hospital
2007-2023
National Health Service
2016-2021
National Institute for Health Research
2020
NIHR Biomedical Research Centre at The Royal Marsden and the ICR
2020
Purpose: MR-guided Radiation Therapy (MRgRT) allows for high-precision radiotherapy under real-time MR visualization. This enables margin reduction and subsequent dose escalation which may lead to higher tumor control less toxicity. The Unity MR-linac (Elekta AB, Stockholm, Sweden) integrates a linear accelerator with 1.5T diagnostic quality MRI an online adaptive workflow. A prospective international registry was established facilitate the evidence-based implementation of into clinical...
There is currently significant interest in the potential benefits of combining radiation and immune checkpoint blockade (ICB) to stimulate both regional distant abscopal responses. In melanoma lung cancer, patients who have received therapy during ICB appear prolonged survival. The PLUMMB trial (Pembrolizumab Muscle-invasive/Metastatic Bladder cancer) (NCT02560636) a phase I study test tolerability combination weekly with pembrolizumab metastatic or locally advanced urothelial cancer...
Purpose and ObjectivesWe report on the clinical outcomes of a phase 2 study assessing image guided hypofractionated weekly radiation therapy in bladder cancer patients unsuitable for radical treatment.Methods MaterialsFifty-five with T2-T4aNx-2M0-1 not suitable cystectomy or daily treatment were recruited. A "plan day" approach was used, treating whole (empty) to 36 Gy 6 fractions. Acute toxicity assessed during therapy, at 12 weeks using Common Terminology Criteria Adverse Events version...
Image guided adaptive radiation therapy offers individualized solutions to improve target coverage and reduce normal tissue irradiation, allowing the opportunity increase tumor dose spare bladder tissue.
Background Computed tomography (CT) and magnetic resonance imaging (MRI) are the mainstay modalities in radiotherapy planning. In MR-Linac treatment, manual annotation of organs-at-risk (OARs) clinical volumes requires a significant clinician interaction is major challenge. Currently, there lack available pre-annotated MRI data for training supervised segmentation algorithms. This study aimed to develop deep learning (DL)-based framework synthesize pelvic T 1 -weighted from pre-existing...
In 2018, the first online adaptive magnetic resonance (MR)-guided radiotherapy (MRgRT) system using a 1.5-T MR-equipped linear accelerator (1.5-T MR-Linac) was clinically introduced. This enables radiotherapy, in which radiation plan is adapted to size and shape changes of targets at each treatment session based on daily MR-visualized anatomy.
The integration of magnetic resonance imaging into radiation therapy (RT) treatment necessitates automated segmentation algorithms for fast and accurate adaptive interventions, particularly in imaging-integrated linear accelerator (MR-linac or MRL) systems. However, the scarcity data hampers training these models. This study aimed to address this shortcoming by developing a synthetic MRL-assisted deep learning framework establish robust baseline organ at risk on MRL images enable domain...
Objective: The implementation of plan the day selection for patients receiving radiotherapy (RT) bladder cancer requires efficient and confident decision-making. This article describes development a training programme maintenance competency. Methods: Cone beam CT (CBCT) images acquired on RT were assessed to establish baseline competency needs. A was implemented, observers asked select planning target volumes (PTVs) two groups 20 patients' images. After clinical implementation, PTVs chosen...
The majority of locally advanced cervical cancers (LaCC) are causally related to HPV. We sought investigate the utility an ultra-sensitive HPV-DNA next generation sequencing (NGS) assay-panHPV-detect-in LaCC treated with chemoradiotherapy, as a marker treatment response and persistent disease.
High-risk HPV infection is responsible for >99% of cervix cancers (CC). In persistent infections that lead to cancer, the tumour breaches basement membrane, releasing HPV-DNA into bloodstream (cHPV-DNA). A next-generation sequencing assay (NGS) detection plasma circulating DNA (cHPV-DNA) has demonstrated high sensitivity and specificity in patients with locally advanced cancers. We hypothesised cHPV-DNA detectable early invasive cervical but not pre-invasive lesions (CIN).Blood samples were...
Background The effect of chemoradiation on the anti-cancer immune response is being increasingly acknowledged; however, its clinical implications in treatment responses are yet to be fully understood. Human papillomavirus (HPV)-driven malignancies express viral oncogenic proteins which may serve as tumor-specific antigens and represent ideal candidates for monitoring peripheral T-cell receptor (TCR) changes secondary chemoradiotherapy (CRT). Methods We performed intra-tumoral pre-...