Keyword

CT texture analysis

Description: A quantitative medical imaging method that measures patterns of pixel intensity in computed tomography scans to characterize tissues or lesions.

Primary topic: Radiomics and Machine Learning in Medical Imaging (81%)

OpenAlex ID: keywords/ct-texture-analysis

CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

2017 · Meghan G. Lubner, Andrew D. Smith, et al. · Radiographics · 774

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

2011 · Balaji Ganeshan, Elleny Panayiotou, et al. · European Radiology · 505

Non–Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CT

2012 · Balaji Ganeshan, Vicky Goh, et al. · Radiology · 447

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

2012 · Francesca Ng, Balaji Ganeshan, et al. · Radiology · 432

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Quantifying tumour heterogeneity with CT

2013 · Balaji Ganeshan, Kenneth A. Miles · Cancer Imaging · 395

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Assessment of Response to Tyrosine Kinase Inhibitors in Metastatic Renal Cell Cancer: CT Texture as a Predictive Biomarker

2011 · Vicky Goh, Balaji Ganeshan, et al. · Radiology · 368

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

2012 · Francesca Ng, Robert Kozarski, et al. · European Journal of Radiology · 362

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

2011 · B. Ganeshan, K. Skogen, et al. · Clinical Radiology · 310

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

2013 · Kenneth A. Miles, Balaji Ganeshan, et al. · Cancer Imaging · 308

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Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

2019 · Mohammadhadi Khorrami, Prateek Prasanna, et al. · Cancer Immunology Research · 297

CT textural analysis of hepatic metastatic colorectal cancer: pre-treatment tumor heterogeneity correlates with pathology and clinical outcomes

2015 · Meghan G. Lubner, Nicholas Stabo, et al. · Abdominal Imaging · 276

Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer

2014 · David V. Fried, Susan L. Tucker, et al. · International Journal of Radiation Oncology*Biology*Physics · 213

Locally Advanced Squamous Cell Carcinoma of the Head and Neck: CT Texture and Histogram Analysis Allow Independent Prediction of Overall Survival in Patients Treated with Induction Chemotherapy

2013 · Haowei Zhang, Caleb M. Graham, et al. · Radiology · 207

Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

2013 · Thida Win, Kenneth A. Miles, et al. · Clinical Cancer Research · 203

Idiopathic Pulmonary Fibrosis: Data-driven Textural Analysis of Extent of Fibrosis at Baseline and 15-Month Follow-up

2017 · Stephen M. Humphries, Kunihiro Yagihashi, et al. · Radiology · 188

Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1

2003 · Eric A Hoffman, Joseph M Reinhardt, et al. · Academic Radiology · 186

Prediction of Pancreatic Neuroendocrine Tumor Grade Based on CT Features and Texture Analysis

2017 · Rodrigo Canellas, Kristine S. Burk, et al. · American Journal of Roentgenology · 170

CT Texture Analysis of Renal Masses

2014 · Siva P. Raman, Yifei Chen, et al. · Academic Radiology · 168

Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?

2014 · Hamid Bayanati, Rebecca E. Thornhill, et al. · European Radiology · 161

Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade

2018 · Ceyda Turan Bektas, Burak Kocak, et al. · European Radiology · 148

CT-based radiomic model predicts high grade of clear cell renal cell carcinoma

2018 · Jiule Ding, Zhaoyu Xing, et al. · European Journal of Radiology · 147

Texture analysis in non-contrast enhanced CT: Impact of malignancy on texture in apparently disease-free areas of the liver

2008 · Balaji Ganeshan, Kenneth A. Miles, et al. · European Journal of Radiology · 145

CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical Outcomes

2016 · Meghan G. Lubner, Nicholas Stabo, et al. · American Journal of Roentgenology · 144

Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma

2014 · Ji Ye Son, Ho Yun Lee, et al. · PLoS ONE · 141

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Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation

2018 · Burak Kocak, Aytul Hande Yardimci, et al. · European Journal of Radiology · 135

Works count: 892

Citation count: 18,500