Publications by authors named "Kin S Lau"

Purpose: Patients with glioblastoma (GBM) may demonstrate varying patterns of infiltration and relapse. Improving the ability to predict these patterns may influence the management strategies at the time of initial diagnosis. This study aims to examine the impact of the ratio (T2/T1) of the non-enhancing volume in T2-weighted images (T2) to the enhancing volume in MRI T1-weighted gadolinium-enhanced images (T1gad) on patient outcome.

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A 69-year-old man with locally advanced prostate adenocarcinoma (Gleason score 9), who had completed hormone therapy and definitive radiotherapy, presented to hospital with abdominal pain and distension. A CT scan of the abdomen and pelvis revealed ascites and extensive peritoneal/omental nodules. Serum prostate-specific antigen was not raised (0.

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Purpose: Radiomic models elaborate geometric and texture features of tumors extracted from imaging to develop predictors for clinical outcomes. Stereotactic body radiation therapy (SBRT) has been increasingly applied in the ablative treatment of thoracic tumors. This study aims to identify predictors of treatment responses in patients affected by early stage non-small cell lung cancer (NSCLC) or pulmonary oligo-metastases treated with SBRT and to develop an accurate machine learning model to predict radiological response to SBRT.

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Background: Immunotherapy (IO) is known to improve survival and outcome in various types of solid tumours. However, nonspecific activation of the immune system also affects various organ systems leading to the immune-related adverse events (irAEs). Systematic reviews of IO trials show that the actual incidence of irAEs may be higher than expected.

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Congenital heart disease (CHD) is the most common type of birth defect. In recent years, research has focussed on identifying the genetic causes of CHD. However, only a minority of CHD cases can be attributed to single gene mutations.

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