Radiomics: the bridge between medical imaging and personalized medicine
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 …
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 …
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
Background For virtually every patient with colorectal cancer (CRC), hematoxylin–eosin
(HE)–stained tissue slides are available. These images contain quantitative information …
(HE)–stained tissue slides are available. These images contain quantitative information …
Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome
Tumors exhibit genomic and phenotypic heterogeneity, which has prognostic significance
and may influence response to therapy. Imaging can quantify the spatial variation in …
and may influence response to therapy. Imaging can quantify the spatial variation in …
Predicting outcomes in radiation oncology—multifactorial decision support systems
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 …
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
The development and implementation of quantitative imaging biomarkers has been
hampered by the inconsistent and often incorrect use of terminology related to these …
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
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 …
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 …
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
Purpose: We established a CT-derived approach to achieve accurate progression-free
survival (PFS) prediction to EGFR tyrosine kinase inhibitors (TKI) therapy in multicenter …
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
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 …
patients. These slides are often not used to define objective biomarkers for patient …