User profiles for Balaji Ganeshan

Balaji Ganeshan

University College London
Verified email at ucl.ac.uk
Cited by 9184

[HTML][HTML] Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

…, M Selmi, F Ng, B Sanghera, B Ganeshan… - Insights into …, 2012 - Springer
Background Tumor spatial heterogeneity is an important prognostic factor, which may be
reflected in medical images Methods Image texture analysis is an approach of quantifying …

Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival

B Ganeshan, E Panayiotou, K Burnand, S Dizdarevic… - European …, 2012 - Springer
Purpose To establish the potential for tumour heterogeneity in non-small cell lung cancer (NSCLC)
as assessed by CT texture analysis (CTTA) to provide an independent marker of …

Non–small cell lung cancer: histopathologic correlates for texture parameters at CT

B Ganeshan, V Goh, HC Mandeville, QS Ng, PJ Hoskin… - Radiology, 2013 - pubs.rsna.org
Purpose To correlate computed tomographic (CT) texture in non–small cell lung cancer (NSCLC)
with histopathologic markers for angiogenesis and hypoxia. Materials and Methods …

Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival

F Ng, B Ganeshan, R Kozarski, KA Miles, V Goh - Radiology, 2013 - pubs.rsna.org
Purpose To determine if computed tomographic (CT) texture features of primary colorectal
cancer are related to 5-year overall survival rate. Materials and Methods Institutional review …

Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker

V Goh, B Ganeshan, P Nathan, JK Juttla, A Vinayan… - Radiology, 2011 - pubs.rsna.org
Purpose To assess changes in tumor computed tomographic (CT) texture after two cycles of
treatment with tyrosine kinase inhibitors (TKIs) and to determine if tumor texture correlates …

[HTML][HTML] Quantifying tumour heterogeneity with CT

B Ganeshan, KA Miles - Cancer imaging, 2013 - ncbi.nlm.nih.gov
Heterogeneity is a key feature of malignancy associated with adverse tumour biology.
Quantifying heterogeneity could provide a useful non-invasive imaging biomarker. Heterogeneity …

Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis?

F Ng, R Kozarski, B Ganeshan, V Goh - European journal of radiology, 2013 - Elsevier
OBJECTIVE: To determine if there is a difference between contrast enhanced CT texture
features from the largest cross-sectional area versus the whole tumor, and its effect on clinical …

[HTML][HTML] Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and …

B Ganeshan, S Abaleke, RCD Young… - Cancer …, 2010 - ncbi.nlm.nih.gov
The aim was to undertake an initial study of the relationship between texture features in
computed tomography (CT) images of non-small cell lung cancer (NSCLC) and tumour glucose …

Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival

B Ganeshan, K Skogen, I Pressney, D Coutroubis… - Clinical radiology, 2012 - Elsevier
AIM: To undertake a pilot study assessing whether tumour heterogeneity evaluated using
computed tomography texture analysis (CTTA) has the potential to provide a marker of tumour …

[HTML][HTML] CT texture analysis using the filtration-histogram method: what do the measurements mean?

KA Miles, B Ganeshan, MP Hayball - Cancer Imaging, 2013 - ncbi.nlm.nih.gov
Abstract Analysis of texture within tumours on computed tomography (CT) is emerging as a
potentially useful tool in assessing prognosis and treatment response for patients with cancer…