The potential of radiomic-based phenotyping in precision medicine: a review
HJWL Aerts - JAMA oncology, 2016 - jamanetwork.com
Importance Advances in genomics have led to the recognition that tumors are populated by
distinct genotypic subgroups that drive tumor development and progression. The spatial and …
distinct genotypic subgroups that drive tumor development and progression. The spatial and …
Radiomics: the process and the challenges
“Radiomics” refers to the extraction and analysis of large amounts of advanced quantitative
imaging features with high throughput from medical images obtained with computed …
imaging features with high throughput from medical images obtained with computed …
Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art
With the development of functional imaging modalities we now have the ability to study the
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …
Quantitative imaging in cancer evolution and ecology
RA Gatenby, O Grove, RJ Gillies - Radiology, 2013 - pubs.rsna.org
Cancer therapy, even when highly targeted, typically fails because of the remarkable
capacity of malignant cells to evolve effective adaptations. These evolutionary dynamics are …
capacity of malignant cells to evolve effective adaptations. These evolutionary dynamics are …
Automatic scoring of multiple semantic attributes with multi-task feature leverage: a study on pulmonary nodules in CT images
The gap between the computational and semantic features is the one of major factors that
bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge …
bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge …
Lung nodule malignancy classification using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database …
MC Hancock, JF Magnan - Journal of Medical Imaging, 2016 - spiedigitallibrary.org
In the assessment of nodules in CT scans of the lungs, a number of image-derived features
are diagnostically relevant. Currently, many of these features are defined only qualitatively …
are diagnostically relevant. Currently, many of these features are defined only qualitatively …
Magnetic resonance imaging-based radiomic profiles predict patient prognosis in newly diagnosed glioblastoma before therapy
SD McGarry, SL Hurrell, AL Kaczmarowski… - …, 2016 - pmc.ncbi.nlm.nih.gov
Magnetic resonance imaging (MRI) is used to diagnose and monitor brain tumors. Extracting
additional information from medical imaging and relating it to a clinical variable of interest is …
additional information from medical imaging and relating it to a clinical variable of interest is …
Imaging in the age of precision medicine: summary of the proceedings of the 10th Biannual Symposium of the International Society for Strategic Studies in Radiology
During the past decade, with its breakthroughs in systems biology, precision medicine (PM)
has emerged as a novel health-care paradigm. Challenging reductionism and broad-based …
has emerged as a novel health-care paradigm. Challenging reductionism and broad-based …
Integrating pathology and radiology disciplines: an emerging opportunity?
Pathology and radiology form the core of cancer diagnosis, yet the workflows of both
specialties remain ad hoc and occur in separate" silos," with no direct linkage between their …
specialties remain ad hoc and occur in separate" silos," with no direct linkage between their …
An inception module CNN classifiers fusion method on pulmonary nodule diagnosis by signs
A “sign” on a lung CT image refers to a radiologic finding that suggests a pathological
progression of some specific disease. Analysis of CT signs is helpful to understand the …
progression of some specific disease. Analysis of CT signs is helpful to understand the …