Radiomics: the bridge between medical imaging and personalized medicine

P Lambin, RTH Leijenaar, TM Deist… - Nature reviews Clinical …, 2017 - nature.com
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Imaging biomarker roadmap for cancer studies

JPB O'connor, EO Aboagye, JE Adams… - Nature reviews Clinical …, 2017 - nature.com
Imaging biomarkers (IBs) are integral to the routine management of patients with cancer. IBs
used daily in oncology include clinical TNM stage, objective response and left ventricular …

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

JN Kather, J Krisam, P Charoentong, T Luedde… - PLoS …, 2019 - journals.plos.org
Background For virtually every patient with colorectal cancer (CRC), hematoxylin–eosin
(HE)–stained tissue slides are available. These images contain quantitative information …

Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome

JPB O'Connor, CJ Rose, JC Waterton… - Clinical Cancer …, 2015 - AACR
Tumors exhibit genomic and phenotypic heterogeneity, which has prognostic significance
and may influence response to therapy. Imaging can quantify the spatial variation in …

Predicting outcomes in radiation oncology—multifactorial decision support systems

P Lambin, RGPM Van Stiphout… - Nature reviews Clinical …, 2013 - nature.com
With the emergence of individualized medicine and the increasing amount and complexity of
available medical data, a growing need exists for the development of clinical decision …

The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions

LG Kessler, HX Barnhart, AJ Buckler… - … methods in medical …, 2015 - journals.sagepub.com
The development and implementation of quantitative imaging biomarkers has been
hampered by the inconsistent and often incorrect use of terminology related to these …

On the scope and interpretation of the Tofts models for DCE‐MRI

SP Sourbron, DL Buckley - Magnetic resonance in medicine, 2011 - Wiley Online Library
The Tofts model (TM) and extended Tofts model (ETM) have become a standard for the
analysis of dynamic contrast‐enhanced MRI. In this study, a mathematical analysis is used …

Imaging tumour hypoxia with oxygen-enhanced MRI and BOLD MRI

JPB O'Connor, SP Robinson… - The British journal of …, 2019 - academic.oup.com
Hypoxia is known to be a poor prognostic indicator for nearly all solid tumours and also is
predictive of treatment failure for radiotherapy, chemotherapy, surgery and targeted …

A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy

J Song, J Shi, D Dong, M Fang, W Zhong, K Wang… - Clinical Cancer …, 2018 - AACR
Purpose: We established a CT-derived approach to achieve accurate progression-free
survival (PFS) prediction to EGFR tyrosine kinase inhibitors (TKI) therapy in multicenter …

Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions

F Prezja, S Äyrämö, I Pölönen, T Ojala, S Lahtinen… - Scientific Reports, 2023 - nature.com
Hematoxylin and eosin-stained biopsy slides are regularly available for colorectal cancer
patients. These slides are often not used to define objective biomarkers for patient …