Edward Chandy

Edward Chandy
  • MBChB BA BSc MSc MRCP FRCR MD (Res)
  • Clinical Oncologist at University Hospitals Sussex

About

40
Publications
2,620
Reads
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98
Citations
Current institution
University Hospitals Sussex
Current position
  • Clinical Oncologist
Additional affiliations
September 2017 - September 2018
Royal Surrey County NHS Foundation Trust
Position
  • SABR Research Fellow
Education
March 2019 - May 2021
University College London
Field of study
  • Radiotherapy toxicity
October 2014 - January 2019
Institute of Cancer Research
Field of study
  • Oncology
September 2005 - August 2006
University of Edinburgh
Field of study
  • Neuroscience

Publications

Publications (40)
Article
Full-text available
BACKGROUND Molecular glioblastoma (mGBM), without classical histological features, was defined in the 2021 WHO classification based on select criteria (EGFR amplification, TERT promoter mutation (pTERT), chromosome 7+/10-). Subsequent validation relied on retrospective patient re-diagnosis and/or historical histological GBMs (hGBMs) controls. Wheth...
Article
Full-text available
BACKGROUND Glioblastoma (GBM) is a disease of older adults with peak incidence at 65-74 years. Treatment of this group is challenging and varies significantly. We sought to define treatment patterns and outcomes for patients aged >65 with GBM diagnosed by WHO CNS 5. MATERIAL AND METHODS We identified pathologically confirmed older GBMs diagnosed i...
Article
Full-text available
BACKGROUND Glioblastoma (GBM) is a relatively rare but aggressive tumour with poor outcomes. Most real-world data sets rely on extended time periods to include sufficient patients for analysis. However, diagnostic classifications and treatment patterns change over time adding uncertainty regarding current patient outcomes. MATERIAL AND METHODS We...
Conference Paper
Full-text available
AIMS: The 2021 World Health Organisation Classification (WHO CNS5) incorporated molecular diagnostic features for glioblastoma for the first time. The Histo-Mol GBM collaborative is conducting a retrospective cohort study evaluating the outcomes of patients prospectively diagnosed with WHO CNS5 IDH wild type glioblastoma. METHOD: Biopsy confirmed g...
Conference Paper
Full-text available
AIMS: The management of older (>70 years old) patients with glioblastoma is challenging with significant variation in practice. Using the Histo-Mol GBM database we analysed the variation in practice across 11 UK centres. METHOD: Biopsy confirmed glioblastoma patients diagnosed between 01/01-31/12/2021 were identified. Descriptive statistics were us...
Article
Full-text available
Background The aim was to predict survival of glioblastoma at eight months after radiotherapy (a period allowing for completing a typical course of adjuvant temozolomide), by applying deep learning to the first brain MRI after radiotherapy completion. Methods Retrospective and prospective data were collected from 206 consecutive glioblastoma, IDH-...
Article
AIMS Dexamethasone is an effective and commonly used treatment in patients with gliomas. However, it can also cause several metabolic side effects, including steroid-induced diabetes mellitus (SIDM), of which prevalence is estimated at 11-56%. We aimed to assess prevalence of SIDM in our local brain tumour population and audited adherence to recent...
Article
Full-text available
AIMS Small cell lung cancer (SCLC) brain metastases (BM) are common at both presentation and relapse. Historically, BM are managed with whole brain radiotherapy (WBRT) +/- chemotherapy. However, WBRT is associated with significant cognitive impairment, and so interest in the focal management of BM (encompassing stereotactic radiosurgery (SRS) and s...
Article
Full-text available
BACKGROUND Glioblastoma is an aggressive brain tumour routinely monitored with MRI. However, the potential to use imaging as a prognostic biomarker predicting survival after treatment starts is unclear. This study aims to predict survival within eight months of completing radiotherapy from MRIs using deep learning. MATERIAL AND METHODS The dataset...
Thesis
Radiation-induced lung damage (RILD) is a common consequence of thoracic radiotherapy (RT). We present here a novel classification of the parenchymal features of RILD. We developed a deep learning algorithm (DLA) to automate the delineation of 5 classes of parenchymal texture of increasing density. 200 scans were used to train and validate the netw...
Preprint
Full-text available
Lung cancer is the leading cause of cancer-related mortality worldwide. Lung cancer screening (LCS) using annual low-dose computed tomography (CT) scanning has been proven to significantly reduce lung cancer mortality by detecting cancerous lung nodules at an earlier stage. Improving risk stratification of malignancy risk in lung nodules can be enh...
Article
Full-text available
Simple Summary Radiation-induced lung damage (RILD) is a common side effect of treating lung cancer with radiotherapy (RT). RILD is visible on CT imaging, and its radiological appearance can vary dramatically from patient to patient as well as across different sub-regions of the lung and treatment volumes. A classification system for RILD able to d...
Article
Full-text available
Simple Summary Radiotherapy is commonly used to treat inoperable locally advanced lung cancer. Despite the use of sophisticated modern planning and imaging techniques to target the tumour and minimise dose to normal lung tissue, patients can suffer from acute and chronic respiratory problems after treatment. Currently, our understanding of the impa...
Article
Full-text available
Quantifying parenchymal tissue changes in the lungs is imperative in furthering the study of radiation-induced lung damage (RILD). Registering lung images from different time-points is a key step of this process. Traditional intensity-based registration approaches fail this task due to the considerable anatomical changes that occur between timepoin...
Conference Paper
Purpose: Tracking and quantifying local tissue changes in the lungs is imperative in furthering the study of radiation-induced lung damage (RILD). Traditional intensity-based registration approaches fail in this task due to dramatic geometric changes between timepoints. This work aims to successfully register longitudinal pre- and post-radiotherapy...
Article
Full-text available
Reducing radiation-induced side effects is one of the most important challenges in paediatric cancer treatment. Recently, there has been growing interest in using spatial normalisation to enable voxel-based analysis of radiation-induced toxicities in a variety of patient groups. The need to consider three-dimensional distribution of doses, rather t...
Article
Full-text available
In the United States of America, almost 150,000 people are estimated to be diagnosed with colorectal cancer in 2020 and up to 35% of those are expected to present with oligometastatic disease. The term 'oligometastasis' was first used in 1995, however surgical literature describing liver resection for colorectal cancer dates back to the 1940s. Five...
Article
Full-text available
Background and Purpose Radiation-induced lung damage (RILD) is a common consequence of lung cancer radiotherapy (RT) with unclear evolution over time. We quantify radiological RILD longitudinally and correlate it with dosimetry and respiratory morbidity. Materials and Methods CTs were available pre-RT and at 3, 6, 12 and 24-months post-RT for fort...
Article
Full-text available
Aims: Cancer remains a leading cause of death in children and adolescents in the developed world. Despite advances in oncological management, rates of primary treatment failure remain significant. Radiation of recurrent or metastatic disease improves survival in adults but there is little data to support clinical decision making in the paediatric/...
Chapter
Uterine cervical cancer is an important health burden worldwide despite primary and secondary prevention measures in developed countries. Radiotherapy is a critical aspect of treatment with important roles in locally advanced disease as well as metastatic disease. A combination of external beam radiotherapy (EBRT) and brachytherapy, with chemothera...
Article
Type 2 diabetes mellitus is increasing in prevalence and is associated with increasing obesity and reduced physical activity. Currently, the oral glucose tolerance test (OGTT) is used to detect diabetes and impaired glucose tolerance in those with impaired fasting glycaemia as recommended by the World Health Organization (WHO). The results of all O...

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