Advances in radiomics and deep learning (DL) hold great potential to be at the forefront of precision medicine for the treatment of patients with brain metastases. Radiomics and DL can aid clinical decision-making by enabling accurate diagnosis, facilitating the identification of molecular markers, providing accurate prognoses, and monitoring treatment response. In this review, we summarize the clinical background, unmet needs, and current state of research of radiomics and DL for the treatment of brain metastases. The promises, pitfalls, and future roadmap of radiomics and DL in brain metastases are addressed as well.ope
Introduction: There is a cumulative risk of 20-40% of developing brain metastases (BM) in solid canc...
Brain metastasis are the most common intracranial malignancy in the adult population. Their incidenc...
Purpose: The current study proposed a model to predict the response of brain metastases (BMs) treate...
BackgroundMagnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the ...
Objectives: Distinguishing between radiation necrosis(RN) and metastatic progression is extremely ch...
It is a challenge to model survival for patients with brain metastases given their clinical heteroge...
Although a variety of imaging modalities are used or currently being investigated for patients with ...
Objective. The purpose of this study was to investigate the feasibility of applying handcrafted radi...
Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malign...
Brain metastases are frequent and dreadful complications of cancer especially lung, breast, colorect...
We evaluated the diagnostic performance and generalizability of traditional machine learning and dee...
The development of clinical trials has led to substantial improvements in the prevention and treatme...
Objective: Our study aimed to evaluate the quality of radiomics studies on brain metastases based on...
Advances in chemotherapy and targeted therapies have improved survival in cancer patients with an in...
Brain metastases are the most common malignancy encountered in the central nervous system (CNS), wit...
Introduction: There is a cumulative risk of 20-40% of developing brain metastases (BM) in solid canc...
Brain metastasis are the most common intracranial malignancy in the adult population. Their incidenc...
Purpose: The current study proposed a model to predict the response of brain metastases (BMs) treate...
BackgroundMagnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the ...
Objectives: Distinguishing between radiation necrosis(RN) and metastatic progression is extremely ch...
It is a challenge to model survival for patients with brain metastases given their clinical heteroge...
Although a variety of imaging modalities are used or currently being investigated for patients with ...
Objective. The purpose of this study was to investigate the feasibility of applying handcrafted radi...
Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malign...
Brain metastases are frequent and dreadful complications of cancer especially lung, breast, colorect...
We evaluated the diagnostic performance and generalizability of traditional machine learning and dee...
The development of clinical trials has led to substantial improvements in the prevention and treatme...
Objective: Our study aimed to evaluate the quality of radiomics studies on brain metastases based on...
Advances in chemotherapy and targeted therapies have improved survival in cancer patients with an in...
Brain metastases are the most common malignancy encountered in the central nervous system (CNS), wit...
Introduction: There is a cumulative risk of 20-40% of developing brain metastases (BM) in solid canc...
Brain metastasis are the most common intracranial malignancy in the adult population. Their incidenc...
Purpose: The current study proposed a model to predict the response of brain metastases (BMs) treate...