A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …
disease diagnosis and management and facilitate the creation of new therapeutics is …
Radiomics in breast MRI: Current progress toward clinical application in the era of artificial intelligence
H Satake, S Ishigaki, R Ito, S Naganawa - La radiologia medica, 2022 - Springer
Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …
Predictive biomarkers of response to neoadjuvant chemotherapy in breast cancer: current and future perspectives for precision medicine
F Derouane, C van Marcke, M Berlière, A Gerday… - Cancers, 2022 - mdpi.com
Simple Summary Despite the increased use of neoadjuvant chemotherapy in the early
setting of breast cancer, there is a clinical need for predictive markers of response in daily …
setting of breast cancer, there is a clinical need for predictive markers of response in daily …
MRI-based digital models forecast patient-specific treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer
Triple-negative breast cancer (TNBC) is persistently refractory to therapy, and methods to
improve targeting and evaluation of responses to therapy in this disease are needed. Here …
improve targeting and evaluation of responses to therapy in this disease are needed. Here …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study
Objectives Disseminated bone marrow (BM) involvement is frequent in multiple myeloma
(MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole …
(MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole …
MRI radiogenomics for intelligent diagnosis of breast tumors and accurate prediction of neoadjuvant chemotherapy responses-a review
Background and objective This paper aims to overview multidimensional mining algorithms
in relation to Magnetic Resonance Imaging (MRI) radiogenomics for computer aided …
in relation to Magnetic Resonance Imaging (MRI) radiogenomics for computer aided …
Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant …
Y Li, Y Chen, R Zhao, Y Ji, J Li, Y Zhang, H Lu - European Radiology, 2022 - Springer
Objectives To develop a nomogram based on pretreatment dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) to predict pathologic complete response (pCR) …
magnetic resonance imaging (DCE-MRI) to predict pathologic complete response (pCR) …
Breast cancer classification on multiparametric mri–increased performance of boosting ensemble methods
A Vamvakas, D Tsivaka, A Logothetis… - … in cancer research …, 2022 - journals.sagepub.com
Introduction: This study aims to assess the utility of Boosting ensemble classification
methods for increasing the diagnostic performance of multiparametric Magnetic Resonance …
methods for increasing the diagnostic performance of multiparametric Magnetic Resonance …
Prediction of HER2 expression in breast cancer by combining PET/CT radiomic analysis and machine learning
Y Chen, Z Wang, G Yin, C Sui, Z Liu, X Li… - Annals of Nuclear …, 2022 - Springer
Background Human epidermal growth factor receptor 2 (HER2) expression status
determination significantly contributes to HER2-targeted therapy in breast cancer (BC). The …
determination significantly contributes to HER2-targeted therapy in breast cancer (BC). The …