CT perfusion in oncologic imaging: a useful tool?

R García-Figueiras, VJ Goh… - American Journal of …, 2013 - Am Roentgen Ray Soc
OBJECTIVE. This article summarizes the current status of CT perfusion in oncologic
imaging, including lesion characterization, staging, prediction of patient outcome or …

'Go with the flow ': A review of methods and advancements in blood flow imaging

SM Daly, MJ Leahy - Journal of biophotonics, 2013 - Wiley Online Library
Physics has delivered extraordinary developments in almost every facet of modern life. From
the humble thermometer and stethoscope to X‐Ray, CT, MRI, ultrasound, PET and …

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 …

Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting

S Halligan, Y Menu, S Mallett - European radiology, 2021 - Springer
This review explains in simple terms, accessible to the non-statistician, general principles
regarding the correct research methods to develop and then evaluate imaging biomarkers in …

Biomarkers of angiogenesis in colorectal cancer: Supplementary issue: Biomarkers for colon cancer

L Mousa, ME Salem, S Mikhail - Biomarkers in cancer, 2015 - journals.sagepub.com
Colorectal cancer (CRC) is the third most common cancer worldwide and accounts for 10%
of all new cancer diagnoses. Angiogenesis is a tightly regulated process that is mediated by …

Comparison of Bayesian network and support vector machine models for two‐year survival prediction in lung cancer patients treated with radiotherapy

K Jayasurya, G Fung, S Yu, C Dehing‐Oberije… - Medical …, 2010 - Wiley Online Library
Purpose: Classic statistical and machine learning models such as support vector machines
(SVMs) can be used to predict cancer outcome, but often only perform well if all the input …

[HTML][HTML] CT perfusion in oncology: how to do it

G Petralia, L Bonello, S Viotti, L Preda, G d'Andrea… - Cancer …, 2010 - ncbi.nlm.nih.gov
Robust technique and accurate data analysis are required for reliable computed
tomography perfusion (CTp) imaging. Multislice CT is required for high temporal resolution …

Intravoxel incoherent motion MRI of rectal cancer: correlation of diffusion and perfusion characteristics with prognostic tumor markers

H Sun, Y Xu, A Song, K Shi… - American Journal of …, 2018 - Am Roentgen Ray Soc
OBJECTIVE. The objective of our study was to evaluate the intravoxel incoherent motion
(IVIM)–DWI derived parameters and their relationships with tumor prognostic markers using …

[图书][B] Advanced biophotonics: tissue optical sectioning

RK Wang, VV Tuchin - 2013 - books.google.com
Despite a number of books on biophotonics imaging for medical diagnostics and therapy,
the field still lacks a comprehensive imaging book that describes state-of-the-art …

Prediction of response to anti-angiogenic treatment for advanced colorectal cancer patients: From biological factors to functional imaging

G Corrias, E Lai, P Ziranu, S Mariani, C Donisi, N Liscia… - Cancers, 2024 - mdpi.com
Simple Summary In this review, we aim to analyze the molecular bases of angiogenesis in
metastatic colorectal cancer (mCRC) and to provide an overview of potential predictive …