Precision medicine and radiogenomics in breast cancer: new approaches toward diagnosis and treatment
Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of
an individual and, when present, his or her disease. It has a host of targets, including genes …
an individual and, when present, his or her disease. It has a host of targets, including genes …
Quantification of tumor heterogeneity: from data acquisition to metric generation
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations
with variable molecular profiles, aggressiveness, and proliferation potential coexist and …
with variable molecular profiles, aggressiveness, and proliferation potential coexist and …
Background, current role, and potential applications of radiogenomics
K Pinker, F Shitano, E Sala, RK Do… - Journal of Magnetic …, 2018 - Wiley Online Library
With the genomic revolution in the early 1990s, medical research has been driven to study
the basis of human disease on a genomic level and to devise precise cancer therapies …
the basis of human disease on a genomic level and to devise precise cancer therapies …
Role of texture analysis in breast MRI as a cancer biomarker: A review
RD Chitalia, D Kontos - Journal of Magnetic Resonance …, 2019 - Wiley Online Library
Breast cancer is a known heterogeneous disease. Current clinically utilized histopathologic
biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis …
biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis …
Imaging phenotypes of breast cancer heterogeneity in preoperative breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) scans predict 10-year …
RD Chitalia, J Rowland, ES McDonald… - Clinical Cancer …, 2020 - AACR
Purpose: Identifying imaging phenotypes and understanding their relationship with
prognostic markers and patient outcomes can allow for a noninvasive assessment of cancer …
prognostic markers and patient outcomes can allow for a noninvasive assessment of cancer …
[HTML][HTML] Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences
Breast cancer is the most prevalent disease that poses a significant threat to women's
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …
DCE‐MRI texture analysis with tumor subregion partitioning for predicting Ki‐67 status of estrogen receptor‐positive breast cancers
Background Breast tumor heterogeneity is related to risk factors that lead to worse
prognosis, yet such heterogeneity has not been well studied. Purpose To predict the Ki‐67 …
prognosis, yet such heterogeneity has not been well studied. Purpose To predict the Ki‐67 …
Precision diagnostics based on machine learning-derived imaging signatures
The complexity of modern multi-parametric MRI has increasingly challenged conventional
interpretations of such images. Machine learning has emerged as a powerful approach to …
interpretations of such images. Machine learning has emerged as a powerful approach to …
Pharmacokinetic tumor heterogeneity as a prognostic biomarker for classifying breast cancer recurrence risk
Goal: Heterogeneity in cancer can affect response to therapy and patient prognosis.
Histologic measures have classically been used to measure heterogeneity, although a …
Histologic measures have classically been used to measure heterogeneity, although a …
Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis
B Chaudhury, M Zhou, DB Goldgof… - Journal of Magnetic …, 2015 - Wiley Online Library
Purpose To evaluate heterogeneity within tumor subregions or “habitats” via textural kinetic
analysis on breast dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for …
analysis on breast dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for …