How to use CT texture analysis for prognostication of non-small cell lung cancer

Miles, K. A. (2016)

Cancer Imaging. BioMed Central, 16(1), p. 10. doi: 10.1186/s40644-016-0065-5

Performance of diffusion-weighted imaging, perfusion imaging, and texture analysis in predicting tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3T MR: initial experience

De Cecco, C. N. et al., (2016)

Abdominal radiology (New York), 41(9), pp. 1728–35. doi: 10.1007/s00261-016-0733-8

MRI texture analysis parameters of contrast-enhanced T1-weighted images of Crohn’s disease differ according to the presence or absence of histological markers of hypoxia and angiogenesis

Bhatnagar, G. et al., (2016)

Abdominal radiology (New York), 41(7), pp. 1261–9. doi: 10.1007/s00261-016-0657-3

Texture Analysis as Imaging Biomarker of Tumoral Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients Studied with 3-T Magnetic Resonance.

De Cecco, C. N. et al., (2015)

Investigative Radiology, 50(4), pp. 239–245. doi: 10.1097/RLI.0000000000000116.

Predicting Overall Survival in Patients With Metastatic Melanoma on Antiangiogenic Therapy and RECIST Stable Disease on Initial Post therapy Images Using CT Texture Analysis

Smith, A. D. et al., (2015)

American Journal of Roentgenology. American Roentgen Ray Society , 205(3), pp. W283–W293. doi: 10.2214/AJR.15.14315

Texture Analysis of Non-Contrast-Enhanced Computed Tomography for Assessing Angiogenesis and Survival of Soft Tissue Sarcoma

Hayano, K. et al., (2015)

Journal of computer assisted tomography, 39(4), pp. 607–12. doi: 10.1097/RCT.0000000000000239

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

Lubner, M. G. et al., (2015)

Abdominal Imaging, 40(7), pp. 2331–2337. doi: 10.1007/s00261-015-0438-4.

Exploration of Imaging Biomarkers for Predicting Survival of Patients With Advanced Non–Small Cell Lung Cancer Treated With Antiangiogenic Chemotherapy.

Hayano, K. et al., (2015)

American Journal of Roentgenology, 206(5), pp. 987–993. doi: 10.2214/AJR.15.15528.