Brain metastases: the role of clinical imaging
SHAE Derks, AAM van der Veldt… - The British journal of …, 2022 - academic.oup.com
Imaging of brain metastases (BMs) has advanced greatly over the past decade. In this
review, we discuss the main challenges that BMs pose in clinical practice and describe the …
review, we discuss the main challenges that BMs pose in clinical practice and describe the …
[HTML][HTML] Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation
Many preclinical and clinical observations support that functional magnetic resonance
imaging (MRI), such as diffusion weighted (DW) and dynamic contrast enhanced (DCE) MRI …
imaging (MRI), such as diffusion weighted (DW) and dynamic contrast enhanced (DCE) MRI …
Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
D Moore-Palhares, L Ho, L Lu, B Chugh, D Vesprini… - radiation …, 2023 - Springer
Purpose Integrating magnetic resonance (MR) into radiotherapy planning has several
advantages. This report details the clinical implementation of an MR simulation (MR …
advantages. This report details the clinical implementation of an MR simulation (MR …
The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study
Y Wang, J Lang, JZ Zuo, Y Dong, Z Hu, X Xu… - European …, 2022 - Springer
Objective To develop and validate a pretreatment magnetic resonance imaging (MRI)–
based radiomic-clinical model to assess the treatment response of whole-brain radiotherapy …
based radiomic-clinical model to assess the treatment response of whole-brain radiotherapy …
Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy
H Taleghamar, SA Jalalifar, GJ Czarnota… - Scientific reports, 2022 - nature.com
In this study, a novel deep learning-based methodology was investigated to predict breast
cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound …
cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound …
Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI‐based deep learning features
SA Jalalifar, H Soliman, A Sahgal… - Medical …, 2022 - Wiley Online Library
Background A considerable proportion of metastatic brain tumors progress locally despite
stereotactic radiation treatment, and it can take months before such local progression is …
stereotactic radiation treatment, and it can take months before such local progression is …
A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy
S Tanaka, N Kadoya, Y Sugai, M Umeda… - Scientific Reports, 2022 - nature.com
Early regression—the regression in tumor volume during the initial phase of radiotherapy
(approximately 2 weeks after treatment initiation)—is a common occurrence during …
(approximately 2 weeks after treatment initiation)—is a common occurrence during …
High grade glioma radiation therapy on a high field 1.5 Tesla MR-Linac-workflow and initial experience with daily adapt-to-position (ATP) MR guidance: A first report
Purpose This study reports the workflow and initial clinical experience of high grade glioma
(HGG) radiotherapy on the 1.5 T MR-Linac (MRL), with a focus on the temporal variations of …
(HGG) radiotherapy on the 1.5 T MR-Linac (MRL), with a focus on the temporal variations of …
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …
Enhancement of radiosurgical treatment outcome prediction using MRI radiomics in patients with non-small cell lung cancer brain metastases
Simple Summary Non-small cell lung cancer (NSCLC) is the most common cause of brain
metastasis (BM). Approximately 50% of patients with metastatic NSCLC harbor BMs. Within …
metastasis (BM). Approximately 50% of patients with metastatic NSCLC harbor BMs. Within …