AIMC Topic: Radiosurgery

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Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 11, 2020
BACKGROUND: Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the brain contain a vast amount of structural and functional information that can be analyzed by machine learning algorithms and radiomics for the use o...
Sensitivity and Specificity Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Computational Biology Humans Positron-Emission Tomography Radiotherapy Planning, Computer-Assisted DNA Modification Methylases DNA Repair Enzymes Tumor Suppressor Proteins Neuroimaging Radiosurgery Promoter Regions, Genetic Isocitrate Dehydrogenase Imaging Genomics Glioblastoma Glioma Radiation Oncology Magnetic Resonance Imaging Neoplasm Grading DNA Methylation Neoplasm Recurrence, Local Diagnosis, Differential Progression-Free Survival Neoplasm Proteins
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Radiomics and deep learning in lung cancer.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 4, 2020
Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on radiomic features from computed tomography (CT) and positron-emission tomograp...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Genotype Humans Forecasting Phenotype Databases, Factual Prognosis False Positive Reactions Radiosurgery Computational Biology Radiotherapy Treatment Outcome Radiation Injuries Neoplasm Staging Imaging Genomics Neoplasm Recurrence, Local Radiotherapy Planning, Computer-Assisted
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Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data.

Radiation oncology (London, England) Apr 20, 2020
INTRODUCTION: Deep learning-based algorithms have demonstrated enormous performance in segmentation of medical images. We collected a dataset of multiparametric MRI and contour data acquired for use in radiosurgery, to evaluate the performance of dee...
Sensitivity and Specificity Brain Neoplasms Male Middle Aged Deep Learning Humans Neural Networks, Computer Female Magnetic Resonance Imaging Radiographic Image Interpretation, Computer-Assisted Radiotherapy Planning, Computer-Assisted Radiosurgery
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Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.

Radiology Mar 17, 2020
Background Brain metastases are manually identified during stereotactic radiosurgery (SRS) treatment planning, which is time consuming and potentially challenging. Purpose To develop and investigate deep learning (DL) methods for detecting brain meta...
Contrast Media Humans Magnetic Resonance Imaging Retrospective Studies Radiosurgery Female Male Middle Aged Brain Neoplasms Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional
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Hypofractionated Robotic Stereotactic Radiosurgery for Vagal Paragangliomas: A Novel Treatment Strategy for Cranial Nerve Preservation.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 3, 2020
OBJECTIVE: To provide the first description of hypofractionated stereotactic radiosurgery (SRS) and evaluate tumor control and safety for vagal paragangliomas (VPs), which begin at the skull base but often have significant extracranial extension.
Cranial Nerve Neoplasms Paraganglioma Male Middle Aged Adolescent Retrospective Studies Treatment Outcome Follow-Up Studies Tomography, X-Ray Computed Magnetic Resonance Imaging Female Robotics Young Adult Neoplasm Staging Adult Radiosurgery Vagus Nerve Humans
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Performance assessment of a new optimization system for robotic SBRT MLC-based plans.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 20, 2020
PURPOSE: To assess the performance of a new optimization system, VOLO, for CyberKnife MLC-based SBRT plans in comparison with the existing Sequential optimizer.
Humans Algorithms Radiosurgery Female Robotics Reproducibility of Results Organs at Risk Male Radiotherapy Planning, Computer-Assisted Neoplasms Radiotherapy Dosage Models, Theoretical Radiotherapy, Intensity-Modulated
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An investigation of machine learning methods in delta-radiomics feature analysis.

PloS one Dec 13, 2019
PURPOSE: This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, and to investigate the...
Glioma Humans Magnetic Resonance Imaging Machine Learning Algorithms ROC Curve Neoplasm Recurrence, Local Image Interpretation, Computer-Assisted Radiosurgery
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Deep segmentation networks predict survival of non-small cell lung cancer.

Scientific reports Nov 21, 2019
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/comp...
Radiopharmaceuticals Datasets as Topic Humans Radiosurgery Prognosis Middle Aged Retrospective Studies Treatment Outcome Female Lung Carcinoma, Non-Small-Cell Lung Deep Learning Aged Predictive Value of Tests Image Processing, Computer-Assisted Aged, 80 and over Positron Emission Tomography Computed Tomography Lung Neoplasms Survival Rate Neoplasm Staging Male
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A simple knowledge-based tool for stereotactic radiosurgery pre-planning.

Journal of applied clinical medical physics Nov 19, 2019
We studied the dosimetry of single-isocenter treatment plans generated to treat a solitary intracranial lesion using linac-based stereotactic radiosurgery (SRS). A common metric for evaluating SRS plan quality is the volume of normal brain tissue irr...
Retrospective Studies Brain Neoplasms Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Humans Algorithms
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Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Radiosurgery Humans Cardiotoxicity Neural Networks, Computer Retrospective Studies Aged Lung Neoplasms Female Aged, 80 and over Carcinoma, Non-Small-Cell Lung Carcinoma, Squamous Cell Survival Rate Follow-Up Studies Male Neoplasm Staging Middle Aged Radiotherapy Dosage
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